Python 实用宝典

Question 1

I’m using the Requests library and accessing a website to gather data from it with the following code:

r = requests.get(url)

I want to add error testing for when an improper URL is entered and a 404 error is returned. If I intentionally enter an invalid URL, when I do this:

print r

I get this:

<Response [404]>

EDIT:

I want to know how to test for that. The object type is still the same. When I do r.content or r.text, I simply get the HTML of a custom 404 page.

Question 2

Look at the r.status_code attribute:

if r.status_code == 404:
    # A 404 was issued.

Demo:

>>> import requests
>>> r = requests.get('http://httpbin.org/status/404')
>>> r.status_code
404

If you want requests to raise an exception for error codes (4xx or 5xx), call r.raise_for_status():

>>> r = requests.get('http://httpbin.org/status/404')
>>> r.raise_for_status()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "requests/models.py", line 664, in raise_for_status
    raise http_error
requests.exceptions.HTTPError: 404 Client Error: NOT FOUND
>>> r = requests.get('http://httpbin.org/status/200')
>>> r.raise_for_status()
>>> # no exception raised.

You can also test the response object in a boolean context; if the status code is not an error code (4xx or 5xx), it is considered ‘true’:

if r:
    # successful response

If you want to be more explicit, use if r.ok:.

Question 3

I want to get the content from the below website. If I use a browser like Firefox or Chrome I could get the real website page I want, but if I use the Python requests package (or wget command) to get it, it returns a totally different HTML page. I thought the developer of the website had made some blocks for this, so the question is:

How do I fake a browser visit by using python requests or command wget?

http://www.ichangtou.com/#company:data_000008.html

Question 4

Provide a User-Agent header:

import requests

url = 'http://www.ichangtou.com/#company:data_000008.html'
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}

response = requests.get(url, headers=headers)
print(response.content)

FYI, here is a list of User-Agent strings for different browsers:

List of all Browsers

As a side note, there is a pretty useful third-party package called fake-useragent that provides a nice abstraction layer over user agents:

fake-useragent

Up to date simple useragent faker with real world database

Demo:

>>> from fake_useragent import UserAgent
>>> ua = UserAgent()
>>> ua.chrome
u'Mozilla/5.0 (Windows NT 6.2; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1667.0 Safari/537.36'
>>> ua.random
u'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.67 Safari/537.36'

Question 5

if this question is still valid

I used fake UserAgent

How to use:

from fake_useragent import UserAgent
import requests


ua = UserAgent()
print(ua.chrome)
header = {'User-Agent':str(ua.chrome)}
print(header)
url = "https://www.hybrid-analysis.com/recent-submissions?filter=file&sort=^timestamp"
htmlContent = requests.get(url, headers=header)
print(htmlContent)

outPut:

Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_2) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1309.0 Safari/537.17
{'User-Agent': 'Mozilla/5.0 (X11; OpenBSD i386) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.125 Safari/537.36'}
<Response [200]>

Question 6

Try doing this, using firefox as fake user agent (moreover, it’s a good startup script for web scraping with the use of cookies):

#!/usr/bin/env python2
# -*- coding: utf8 -*-
# vim:ts=4:sw=4


import cookielib, urllib2, sys

def doIt(uri):
    cj = cookielib.CookieJar()
    opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cj))
    page = opener.open(uri)
    page.addheaders = [('User-agent', 'Mozilla/5.0')]
    print page.read()

for i in sys.argv[1:]:
    doIt(i)

USAGE:

python script.py "http://www.ichangtou.com/#company:data_000008.html"

Question 7

The root of the answer is that the person asking the question needs to have a JavaScript interpreter to get what they are after. What I have found is I am able to get all of the information I wanted on a website in json before it was interpreted by JavaScript. This has saved me a ton of time in what would be parsing html hoping each webpage is in the same format.

So when you get a response from a website using requests really look at the html/text because you might find the javascripts JSON in the footer ready to be parsed.

Question 8

I want to do parallel http request tasks in asyncio, but I find that python-requests would block the event loop of asyncio. I’ve found aiohttp but it couldn’t provide the service of http request using a http proxy.

So I want to know if there’s a way to do asynchronous http requests with the help of asyncio.

Question 9

To use requests (or any other blocking libraries) with asyncio, you can use BaseEventLoop.run_in_executor to run a function in another thread and yield from it to get the result. For example:

import asyncio
import requests

@asyncio.coroutine
def main():
    loop = asyncio.get_event_loop()
    future1 = loop.run_in_executor(None, requests.get, 'http://www.google.com')
    future2 = loop.run_in_executor(None, requests.get, 'http://www.google.co.uk')
    response1 = yield from future1
    response2 = yield from future2
    print(response1.text)
    print(response2.text)

loop = asyncio.get_event_loop()
loop.run_until_complete(main())

This will get both responses in parallel.

With python 3.5 you can use the new await/async syntax:

import asyncio
import requests

async def main():
    loop = asyncio.get_event_loop()
    future1 = loop.run_in_executor(None, requests.get, 'http://www.google.com')
    future2 = loop.run_in_executor(None, requests.get, 'http://www.google.co.uk')
    response1 = await future1
    response2 = await future2
    print(response1.text)
    print(response2.text)

loop = asyncio.get_event_loop()
loop.run_until_complete(main())

See PEP0492 for more.

Question 10

aiohttp can be used with HTTP proxy already:

import asyncio
import aiohttp


@asyncio.coroutine
def do_request():
    proxy_url = 'http://localhost:8118'  # your proxy address
    response = yield from aiohttp.request(
        'GET', 'http://google.com',
        proxy=proxy_url,
    )
    return response

loop = asyncio.get_event_loop()
loop.run_until_complete(do_request())

Question 11

The answers above are still using the old Python 3.4 style coroutines. Here is what you would write if you got Python 3.5+.

aiohttp supports http proxy now

import aiohttp
import asyncio

async def fetch(session, url):
    async with session.get(url) as response:
        return await response.text()

async def main():
    urls = [
            'http://python.org',
            'https://google.com',
            'http://yifei.me'
        ]
    tasks = []
    async with aiohttp.ClientSession() as session:
        for url in urls:
            tasks.append(fetch(session, url))
        htmls = await asyncio.gather(*tasks)
        for html in htmls:
            print(html[:100])

if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

Question 12

Requests does not currently support asyncio and there are no plans to provide such support. It’s likely that you could implement a custom “Transport Adapter” (as discussed here) that knows how to use asyncio.

If I find myself with some time it’s something I might actually look into, but I can’t promise anything.

Question 13

There is a good case of async/await loops and threading in an article by Pimin Konstantin Kefaloukos Easy parallel HTTP requests with Python and asyncio:

To minimize the total completion time, we could increase the size of the thread pool to match the number of requests we have to make. Luckily, this is easy to do as we will see next. The code listing below is an example of how to make twenty asynchronous HTTP requests with a thread pool of twenty worker threads:

# Example 3: asynchronous requests with larger thread pool
import asyncio
import concurrent.futures
import requests

async def main():

    with concurrent.futures.ThreadPoolExecutor(max_workers=20) as executor:

        loop = asyncio.get_event_loop()
        futures = [
            loop.run_in_executor(
                executor, 
                requests.get, 
                'http://example.org/'
            )
            for i in range(20)
        ]
        for response in await asyncio.gather(*futures):
            pass


loop = asyncio.get_event_loop()
loop.run_until_complete(main())

Question 14

I’m performing a simple task of uploading a file using Python requests library. I searched Stack Overflow and no one seemed to have the same problem, namely, that the file is not received by the server:

import requests
url='http://nesssi.cacr.caltech.edu/cgi-bin/getmulticonedb_release2.cgi/post'
files={'files': open('file.txt','rb')}
values={'upload_file' : 'file.txt' , 'DB':'photcat' , 'OUT':'csv' , 'SHORT':'short'}
r=requests.post(url,files=files,data=values)

I’m filling the value of ‘upload_file’ keyword with my filename, because if I leave it blank, it says

Error - You must select a file to upload!

And now I get

File  file.txt  of size    bytes is  uploaded successfully!
Query service results:  There were 0 lines.

Which comes up only if the file is empty. So I’m stuck as to how to send my file successfully. I know that the file works because if I go to this website and manually fill in the form it returns a nice list of matched objects, which is what I’m after. I’d really appreciate all hints.

Some other threads related (but not answering my problem):

Question 15

If upload_file is meant to be the file, use:

files = {'upload_file': open('file.txt','rb')}
values = {'DB': 'photcat', 'OUT': 'csv', 'SHORT': 'short'}

r = requests.post(url, files=files, data=values)

and requests will send a multi-part form POST body with the upload_file field set to the contents of the file.txt file.

The filename will be included in the mime header for the specific field:

>>> import requests
>>> open('file.txt', 'wb')  # create an empty demo file
<_io.BufferedWriter name='file.txt'>
>>> files = {'upload_file': open('file.txt', 'rb')}
>>> print(requests.Request('POST', 'http://example.com', files=files).prepare().body.decode('ascii'))
--c226ce13d09842658ffbd31e0563c6bd
Content-Disposition: form-data; name="upload_file"; filename="file.txt"


--c226ce13d09842658ffbd31e0563c6bd--

Note the filename="file.txt" parameter.

You can use a tuple for the files mapping value, with between 2 and 4 elements, if you need more control. The first element is the filename, followed by the contents, and an optional content-type header value and an optional mapping of additional headers:

files = {'upload_file': ('foobar.txt', open('file.txt','rb'), 'text/x-spam')}

This sets an alternative filename and content type, leaving out the optional headers.

If you are meaning the whole POST body to be taken from a file (with no other fields specified), then don’t use the files parameter, just post the file directly as data. You then may want to set a Content-Type header too, as none will be set otherwise. See Python requests – POST data from a file.

Question 16

(2018) the new python requests library has simplified this process, we can use the ‘files’ variable to signal that we want to upload a multipart-encoded file

url = 'http://httpbin.org/post'
files = {'file': open('report.xls', 'rb')}

r = requests.post(url, files=files)
r.text

Question 17

Client Upload

If you want to upload a single file with Python requests library, then requests lib supports streaming uploads, which allow you to send large files or streams without reading into memory.

with open('massive-body', 'rb') as f:
    requests.post('http://some.url/streamed', data=f)

Server Side

Then store the file on the server.py side such that save the stream into file without loading into the memory. Following is an example with using Flask file uploads.

@app.route("/upload", methods=['POST'])
def upload_file():
    from werkzeug.datastructures import FileStorage
    FileStorage(request.stream).save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
    return 'OK', 200

Or use werkzeug Form Data Parsing as mentioned in a fix for the issue of “large file uploads eating up memory” in order to avoid using memory inefficiently on large files upload (s.t. 22 GiB file in ~60 seconds. Memory usage is constant at about 13 MiB.).

@app.route("/upload", methods=['POST'])
def upload_file():
    def custom_stream_factory(total_content_length, filename, content_type, content_length=None):
        import tempfile
        tmpfile = tempfile.NamedTemporaryFile('wb+', prefix='flaskapp', suffix='.nc')
        app.logger.info("start receiving file ... filename => " + str(tmpfile.name))
        return tmpfile

    import werkzeug, flask
    stream, form, files = werkzeug.formparser.parse_form_data(flask.request.environ, stream_factory=custom_stream_factory)
    for fil in files.values():
        app.logger.info(" ".join(["saved form name", fil.name, "submitted as", fil.filename, "to temporary file", fil.stream.name]))
        # Do whatever with stored file at `fil.stream.name`
    return 'OK', 200

Question 18

In Ubuntu you can apply this way,

to save file at some location (temporary) and then open and send it to API

      path = default_storage.save('static/tmp/' + f1.name, ContentFile(f1.read()))
      path12 = os.path.join(os.getcwd(), "static/tmp/" + f1.name)
      data={} #can be anything u want to pass along with File
      file1 = open(path12, 'rb')
      header = {"Content-Disposition": "attachment; filename=" + f1.name, "Authorization": "JWT " + token}
       res= requests.post(url,data,header)

Question 19

I am using the terrific Python Requests library. I notice that the fine documentation has many examples of how to do something without explaining the why. For instance, both r.text and r.content are shown as examples of how to get the server response. But where is it explained what these properties do? For instance, when would I choose one over the other? I see thar r.text returns a unicode object sometimes, and I suppose that there would be a difference for a non-text response. But where is all this documented? Note that the linked document does state:

You can also access the response body as bytes, for non-text requests:

But then it goes on to show an example of a text response! I can only suppose that the quote above means to say non-text responses instead of non-text requests, as a non-text request does not make sense in HTTP.

In short, where is the proper documentation of the library, as opposed to the (excellent) tutorial on the Python Requests site?

Question 20

The requests.Response class documentation has more details:

r.text is the content of the response in Unicode, and r.content is the content of the response in bytes.

Question 21

It seems clear from the documentation is that r.content

You can also access the response body as bytes, for non-text requests:

 >>> r.content

If you read further down the page it addresses for example an image file

Question 22

I am using the requests module (version 0.10.0 with Python 2.5). I have figured out how to submit data to a login form on a website and retrieve the session key, but I can’t see an obvious way to use this session key in subsequent requests. Can someone fill in the ellipsis in the code below or suggest another approach?

>>> import requests
>>> login_data =  {'formPosted':'1', 'login_email':'me@example.com', 'password':'pw'}
>>> r = requests.post('https://localhost/login.py', login_data)
>>> 
>>> r.text
u'You are being redirected <a href="profilePage?_ck=1349394964">here</a>'
>>> r.cookies
{'session_id_myapp': '127-0-0-1-825ff22a-6ed1-453b-aebc-5d3cf2987065'}
>>> 
>>> r2 = requests.get('https://localhost/profile_data.json', ...)

Question 23

You can easily create a persistent session using:

s = requests.Session()

After that, continue with your requests as you would:

s.post('https://localhost/login.py', login_data)
#logged in! cookies saved for future requests.
r2 = s.get('https://localhost/profile_data.json', ...)
#cookies sent automatically!
#do whatever, s will keep your cookies intact :)

For more about sessions: https://requests.kennethreitz.org/en/master/user/advanced/#session-objects

Question 24

the other answers help to understand how to maintain such a session. Additionally, I want to provide a class which keeps the session maintained over different runs of a script (with a cache file). This means a proper “login” is only performed when required (timout or no session exists in cache). Also it supports proxy settings over subsequent calls to ‘get’ or ‘post’.

It is tested with Python3.

Use it as a basis for your own code. The following snippets are release with GPL v3

import pickle
import datetime
import os
from urllib.parse import urlparse
import requests    

class MyLoginSession:
    """
    a class which handles and saves login sessions. It also keeps track of proxy settings.
    It does also maintine a cache-file for restoring session data from earlier
    script executions.
    """
    def __init__(self,
                 loginUrl,
                 loginData,
                 loginTestUrl,
                 loginTestString,
                 sessionFileAppendix = '_session.dat',
                 maxSessionTimeSeconds = 30 * 60,
                 proxies = None,
                 userAgent = 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:40.0) Gecko/20100101 Firefox/40.1',
                 debug = True,
                 forceLogin = False,
                 **kwargs):
        """
        save some information needed to login the session

        you'll have to provide 'loginTestString' which will be looked for in the
        responses html to make sure, you've properly been logged in

        'proxies' is of format { 'https' : 'https://user:pass@server:port', 'http' : ...
        'loginData' will be sent as post data (dictionary of id : value).
        'maxSessionTimeSeconds' will be used to determine when to re-login.
        """
        urlData = urlparse(loginUrl)

        self.proxies = proxies
        self.loginData = loginData
        self.loginUrl = loginUrl
        self.loginTestUrl = loginTestUrl
        self.maxSessionTime = maxSessionTimeSeconds
        self.sessionFile = urlData.netloc + sessionFileAppendix
        self.userAgent = userAgent
        self.loginTestString = loginTestString
        self.debug = debug

        self.login(forceLogin, **kwargs)

    def modification_date(self, filename):
        """
        return last file modification date as datetime object
        """
        t = os.path.getmtime(filename)
        return datetime.datetime.fromtimestamp(t)

    def login(self, forceLogin = False, **kwargs):
        """
        login to a session. Try to read last saved session from cache file. If this fails
        do proper login. If the last cache access was too old, also perform a proper login.
        Always updates session cache file.
        """
        wasReadFromCache = False
        if self.debug:
            print('loading or generating session...')
        if os.path.exists(self.sessionFile) and not forceLogin:
            time = self.modification_date(self.sessionFile)         

            # only load if file less than 30 minutes old
            lastModification = (datetime.datetime.now() - time).seconds
            if lastModification < self.maxSessionTime:
                with open(self.sessionFile, "rb") as f:
                    self.session = pickle.load(f)
                    wasReadFromCache = True
                    if self.debug:
                        print("loaded session from cache (last access %ds ago) "
                              % lastModification)
        if not wasReadFromCache:
            self.session = requests.Session()
            self.session.headers.update({'user-agent' : self.userAgent})
            res = self.session.post(self.loginUrl, data = self.loginData, 
                                    proxies = self.proxies, **kwargs)

            if self.debug:
                print('created new session with login' )
            self.saveSessionToCache()

        # test login
        res = self.session.get(self.loginTestUrl)
        if res.text.lower().find(self.loginTestString.lower()) < 0:
            raise Exception("could not log into provided site '%s'"
                            " (did not find successful login string)"
                            % self.loginUrl)

    def saveSessionToCache(self):
        """
        save session to a cache file
        """
        # always save (to update timeout)
        with open(self.sessionFile, "wb") as f:
            pickle.dump(self.session, f)
            if self.debug:
                print('updated session cache-file %s' % self.sessionFile)

    def retrieveContent(self, url, method = "get", postData = None, **kwargs):
        """
        return the content of the url with respect to the session.

        If 'method' is not 'get', the url will be called with 'postData'
        as a post request.
        """
        if method == 'get':
            res = self.session.get(url , proxies = self.proxies, **kwargs)
        else:
            res = self.session.post(url , data = postData, proxies = self.proxies, **kwargs)

        # the session has been updated on the server, so also update in cache
        self.saveSessionToCache()            

        return res

A code snippet for using the above class may look like this:

if __name__ == "__main__":
    # proxies = {'https' : 'https://user:pass@server:port',
    #           'http' : 'http://user:pass@server:port'}

    loginData = {'user' : 'usr',
                 'password' :  'pwd'}

    loginUrl = 'https://...'
    loginTestUrl = 'https://...'
    successStr = 'Hello Tom'
    s = MyLoginSession(loginUrl, loginData, loginTestUrl, successStr, 
                       #proxies = proxies
                       )

    res = s.retrieveContent('https://....')
    print(res.text)

    # if, for instance, login via JSON values required try this:
    s = MyLoginSession(loginUrl, None, loginTestUrl, successStr, 
                       #proxies = proxies,
                       json = loginData)

Question 25

Check out my answer in this similar question:

python: urllib2 how to send cookie with urlopen request

import urllib2
import urllib
from cookielib import CookieJar

cj = CookieJar()
opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cj))
# input-type values from the html form
formdata = { "username" : username, "password": password, "form-id" : "1234" }
data_encoded = urllib.urlencode(formdata)
response = opener.open("https://page.com/login.php", data_encoded)
content = response.read()

EDIT:

I see I’ve gotten a few downvotes for my answer, but no explaining comments. I’m guessing it’s because I’m referring to the urllib libraries instead of requests. I do that because the OP asks for help with requests or for someone to suggest another approach.

Question 26

The documentation says that get takes in an optional cookies argument allowing you to specify cookies to use:

from the docs:

>>> url = 'http://httpbin.org/cookies'
>>> cookies = dict(cookies_are='working')

>>> r = requests.get(url, cookies=cookies)
>>> r.text
'{"cookies": {"cookies_are": "working"}}'

http://docs.python-requests.org/en/latest/user/quickstart/#cookies

Question 27

Upon trying all the answers above, I found that using “RequestsCookieJar” instead of the regular CookieJar for subsequent requests fixed my problem.

import requests
import json

# The Login URL
authUrl = 'https://whatever.com/login'

# The subsequent URL
testUrl = 'https://whatever.com/someEndpoint'

# Logout URL
testlogoutUrl = 'https://whatever.com/logout'

# Whatever you are posting
login_data =  {'formPosted':'1', 
               'login_email':'me@example.com', 
               'password':'pw'
               }

# The Authentication token or any other data that we will receive from the Authentication Request. 
token = ''

# Post the login Request
loginRequest = requests.post(authUrl, login_data)
print("{}".format(loginRequest.text))

# Save the request content to your variable. In this case I needed a field called token. 
token = str(json.loads(loginRequest.content)['token'])  # or ['access_token']
print("{}".format(token))

# Verify Successful login
print("{}".format(loginRequest.status_code))

# Create your Requests Cookie Jar for your subsequent requests and add the cookie
jar = requests.cookies.RequestsCookieJar()
jar.set('LWSSO_COOKIE_KEY', token)

# Execute your next request(s) with the Request Cookie Jar set
r = requests.get(testUrl, cookies=jar)
print("R.TEXT: {}".format(r.text))
print("R.STCD: {}".format(r.status_code))

# Execute your logout request(s) with the Request Cookie Jar set
r = requests.delete(testlogoutUrl, cookies=jar)
print("R.TEXT: {}".format(r.text))  # should show "Request Not Authorized"
print("R.STCD: {}".format(r.status_code))  # should show 401

Question 28

snippet to retrieve json data, password protected

import requests

username = "my_user_name"
password = "my_super_secret"
url = "https://www.my_base_url.com"
the_page_i_want = "/my_json_data_page"

session = requests.Session()
# retrieve cookie value
resp = session.get(url+'/login')
csrf_token = resp.cookies['csrftoken']
# login, add referer
resp = session.post(url+"/login",
                  data={
                      'username': username,
                      'password': password,
                      'csrfmiddlewaretoken': csrf_token,
                      'next': the_page_i_want,
                  },
                  headers=dict(Referer=url+"/login"))
print(resp.json())

Question 29

Save only required cookies and reuse them.

import os
import pickle
from urllib.parse import urljoin, urlparse

login = 'my@email.com'
password = 'secret'
# Assuming two cookies are used for persistent login.
# (Find it by tracing the login process)
persistentCookieNames = ['sessionId', 'profileId']
URL = 'http://example.com'
urlData = urlparse(URL)
cookieFile = urlData.netloc + '.cookie'
signinUrl = urljoin(URL, "/signin")
with requests.Session() as session:
    try:
        with open(cookieFile, 'rb') as f:
            print("Loading cookies...")
            session.cookies.update(pickle.load(f))
    except Exception:
        # If could not load cookies from file, get the new ones by login in
        print("Login in...")
        post = session.post(
            signinUrl,
            data={
                'email': login,
                'password': password,
            }
        )
        try:
            with open(cookieFile, 'wb') as f:
                jar = requests.cookies.RequestsCookieJar()
                for cookie in session.cookies:
                    if cookie.name in persistentCookieNames:
                        jar.set_cookie(cookie)
                pickle.dump(jar, f)
        except Exception as e:
            os.remove(cookieFile)
            raise(e)
    MyPage = urljoin(URL, "/mypage")
    page = session.get(MyPage)

Question 30

This will work for you in Python;

# Call JIRA API with HTTPBasicAuth
import json
import requests
from requests.auth import HTTPBasicAuth

JIRA_EMAIL = "****"
JIRA_TOKEN = "****"
BASE_URL = "https://****.atlassian.net"
API_URL = "/rest/api/3/serverInfo"

API_URL = BASE_URL+API_URL

BASIC_AUTH = HTTPBasicAuth(JIRA_EMAIL, JIRA_TOKEN)
HEADERS = {'Content-Type' : 'application/json;charset=iso-8859-1'}

response = requests.get(
    API_URL,
    headers=HEADERS,
    auth=BASIC_AUTH
)

print(json.dumps(json.loads(response.text), sort_keys=True, indent=4, separators=(",", ": ")))

Question 31

I like very much the requests package and its comfortable way to handle JSON responses.

Unfortunately, I did not understand if I can also process XML responses. Has anybody experience how to handle XML responses with the requests package? Is it necessary to include another package for the XML decoding?

Question 32

requests does not handle parsing XML responses, no. XML responses are much more complex in nature than JSON responses, how you’d serialize XML data into Python structures is not nearly as straightforward.

Python comes with built-in XML parsers. I recommend you use the ElementTree API:

import requests
from xml.etree import ElementTree

response = requests.get(url)

tree = ElementTree.fromstring(response.content)

or, if the response is particularly large, use an incremental approach:

    response = requests.get(url, stream=True)
    # if the server sent a Gzip or Deflate compressed response, decompress
    # as we read the raw stream:
    response.raw.decode_content = True

    events = ElementTree.iterparse(response.raw)
    for event, elem in events:
        # do something with `elem`

The external lxml project builds on the same API to give you more features and power still.

Question 33

I am trying to post a request to log in to a website using the Requests module in Python but its not really working. I’m new to this…so I can’t figure out if I should make my Username and Password cookies or some type of HTTP authorization thing I found (??).

from pyquery import PyQuery
import requests

url = 'http://www.locationary.com/home/index2.jsp'

So now, I think I’m supposed to use “post” and cookies….

ck = {'inUserName': 'USERNAME/EMAIL', 'inUserPass': 'PASSWORD'}

r = requests.post(url, cookies=ck)

content = r.text

q = PyQuery(content)

title = q("title").text()

print title

I have a feeling that I’m doing the cookies thing wrong…I don’t know.

If it doesn’t log in correctly, the title of the home page should come out to “Locationary.com” and if it does, it should be “Home Page.”

If you could maybe explain a few things about requests and cookies to me and help me out with this, I would greatly appreciate it. :D

Thanks.

…It still didn’t really work yet. Okay…so this is what the home page HTML says before you log in:

</td><td><img src="http://www.locationary.com/img/LocationaryImgs/icons/txt_email.gif">    </td>
<td><input class="Data_Entry_Field_Login" type="text" name="inUserName" id="inUserName"  size="25"></td>
<td><img src="http://www.locationary.com/img/LocationaryImgs/icons/txt_password.gif"> </td>
<td><input  class="Data_Entry_Field_Login"  type="password" name="inUserPass"     id="inUserPass"></td>

So I think I’m doing it right, but the output is still “Locationary.com”

2nd EDIT:

I want to be able to stay logged in for a long time and whenever I request a page under that domain, I want the content to show up as if I were logged in.

Question 34

If the information you want is on the page you are directed to immediately after login…

Lets call your ck variable payload instead, like in the python-requests docs:

payload = {'inUserName': 'USERNAME/EMAIL', 'inUserPass': 'PASSWORD'}
url = 'http://www.locationary.com/home/index2.jsp'
requests.post(url, data=payload)

Otherwise…

See https://stackoverflow.com/a/17633072/111362 below.

Question 35

I know you’ve found another solution, but for those like me who find this question, looking for the same thing, it can be achieved with requests as follows:

Firstly, as Marcus did, check the source of the login form to get three pieces of information – the url that the form posts to, and the name attributes of the username and password fields. In his example, they are inUserName and inUserPass.

Once you’ve got that, you can use a requests.Session() instance to make a post request to the login url with your login details as a payload. Making requests from a session instance is essentially the same as using requests normally, it simply adds persistence, allowing you to store and use cookies etc.

Assuming your login attempt was successful, you can simply use the session instance to make further requests to the site. The cookie that identifies you will be used to authorise the requests.

Example

import requests

# Fill in your details here to be posted to the login form.
payload = {
    'inUserName': 'username',
    'inUserPass': 'password'
}

# Use 'with' to ensure the session context is closed after use.
with requests.Session() as s:
    p = s.post('LOGIN_URL', data=payload)
    # print the html returned or something more intelligent to see if it's a successful login page.
    print p.text

    # An authorised request.
    r = s.get('A protected web page url')
    print r.text
        # etc...

Question 36

Let me try to make it simple, suppose URL of the site is http://example.com/ and let’s suppose you need to sign up by filling username and password, so we go to the login page say http://example.com/login.php now and view it’s source code and search for the action URL it will be in form tag something like

 <form name="loginform" method="post" action="userinfo.php">

now take userinfo.php to make absolute URL which will be ‘http://example.com/userinfo.php‘, now run a simple python script

import requests
url = 'http://example.com/userinfo.php'
values = {'username': 'user',
          'password': 'pass'}

r = requests.post(url, data=values)
print r.content

I Hope that this helps someone somewhere someday.

Question 37

Find out the name of the inputs used on the websites form for usernames <...name=username.../> and passwords <...name=password../> and replace them in the script below. Also replace the URL to point at the desired site to log into.

login.py

#!/usr/bin/env python

import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
payload = { 'username': 'user@email.com', 'password': 'blahblahsecretpassw0rd' }
url = 'https://website.com/login.html'
requests.post(url, data=payload, verify=False)

The use of disable_warnings(InsecureRequestWarning) will silence any output from the script when trying to log into sites with unverified SSL certificates.

Extra:

To run this script from the command line on a UNIX based system place it in a directory, i.e. home/scripts and add this directory to your path in ~/.bash_profile or a similar file used by the terminal.

# Custom scripts
export CUSTOM_SCRIPTS=home/scripts
export PATH=$CUSTOM_SCRIPTS:$PATH

Then create a link to this python script inside home/scripts/login.py

ln -s ~/home/scripts/login.py ~/home/scripts/login

Close your terminal, start a new one, run login

Question 38

The requests.Session() solution assisted with logging into a form with CSRF Protection (as used in Flask-WTF forms). Check if a csrf_token is required as a hidden field and add it to the payload with the username and password:

import requests
from bs4 import BeautifulSoup

payload = {
    'email': 'email@example.com',
    'password': 'passw0rd'
}     

with requests.Session() as sess:
    res = sess.get(server_name + '/signin')
    signin = BeautifulSoup(res._content, 'html.parser')
    payload['csrf_token'] = signin.find('input', id='csrf_token')['value']
    res = sess.post(server_name + '/auth/login', data=payload)

Question 39

I am using python Requests. I need to debug some OAuth activity, and for that I would like it to log all requests being performed. I could get this information with ngrep, but unfortunately it is not possible to grep https connections (which are needed for OAuth)

How can I activate logging of all URLs (+ parameters) that Requests is accessing?

Question 40

The underlying urllib3 library logs all new connections and URLs with the logging module, but not POST bodies. For GET requests this should be enough:

import logging

logging.basicConfig(level=logging.DEBUG)

which gives you the most verbose logging option; see the logging HOWTO for more details on how to configure logging levels and destinations.

Short demo:

>>> import requests
>>> import logging
>>> logging.basicConfig(level=logging.DEBUG)
>>> r = requests.get('http://httpbin.org/get?foo=bar&baz=python')
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): httpbin.org:80
DEBUG:urllib3.connectionpool:http://httpbin.org:80 "GET /get?foo=bar&baz=python HTTP/1.1" 200 366

Depending on the exact version of urllib3, the following messages are logged:

INFO: Redirects
WARN: Connection pool full (if this happens often increase the connection pool size)
WARN: Failed to parse headers (response headers with invalid format)
WARN: Retrying the connection
WARN: Certificate did not match expected hostname
WARN: Received response with both Content-Length and Transfer-Encoding, when processing a chunked response
DEBUG: New connections (HTTP or HTTPS)
DEBUG: Dropped connections
DEBUG: Connection details: method, path, HTTP version, status code and response length
DEBUG: Retry count increments

This doesn’t include headers or bodies. urllib3 uses the http.client.HTTPConnection class to do the grunt-work, but that class doesn’t support logging, it can normally only be configured to print to stdout. However, you can rig it to send all debug information to logging instead by introducing an alternative print name into that module:

import logging
import http.client

httpclient_logger = logging.getLogger("http.client")

def httpclient_logging_patch(level=logging.DEBUG):
    """Enable HTTPConnection debug logging to the logging framework"""

    def httpclient_log(*args):
        httpclient_logger.log(level, " ".join(args))

    # mask the print() built-in in the http.client module to use
    # logging instead
    http.client.print = httpclient_log
    # enable debugging
    http.client.HTTPConnection.debuglevel = 1

Calling httpclient_logging_patch() causes http.client connections to output all debug information to a standard logger, and so are picked up by logging.basicConfig():

>>> httpclient_logging_patch()
>>> r = requests.get('http://httpbin.org/get?foo=bar&baz=python')
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): httpbin.org:80
DEBUG:http.client:send: b'GET /get?foo=bar&baz=python HTTP/1.1\r\nHost: httpbin.org\r\nUser-Agent: python-requests/2.22.0\r\nAccept-Encoding: gzip, deflate\r\nAccept: */*\r\nConnection: keep-alive\r\n\r\n'
DEBUG:http.client:reply: 'HTTP/1.1 200 OK\r\n'
DEBUG:http.client:header: Date: Tue, 04 Feb 2020 13:36:53 GMT
DEBUG:http.client:header: Content-Type: application/json
DEBUG:http.client:header: Content-Length: 366
DEBUG:http.client:header: Connection: keep-alive
DEBUG:http.client:header: Server: gunicorn/19.9.0
DEBUG:http.client:header: Access-Control-Allow-Origin: *
DEBUG:http.client:header: Access-Control-Allow-Credentials: true
DEBUG:urllib3.connectionpool:http://httpbin.org:80 "GET /get?foo=bar&baz=python HTTP/1.1" 200 366

Question 41

You need to enable debugging at httplib level (requests → urllib3 → httplib).

Here’s some functions to both toggle (..._on() and ..._off()) or temporarily have it on:

import logging
import contextlib
try:
    from http.client import HTTPConnection # py3
except ImportError:
    from httplib import HTTPConnection # py2

def debug_requests_on():
    '''Switches on logging of the requests module.'''
    HTTPConnection.debuglevel = 1

    logging.basicConfig()
    logging.getLogger().setLevel(logging.DEBUG)
    requests_log = logging.getLogger("requests.packages.urllib3")
    requests_log.setLevel(logging.DEBUG)
    requests_log.propagate = True

def debug_requests_off():
    '''Switches off logging of the requests module, might be some side-effects'''
    HTTPConnection.debuglevel = 0

    root_logger = logging.getLogger()
    root_logger.setLevel(logging.WARNING)
    root_logger.handlers = []
    requests_log = logging.getLogger("requests.packages.urllib3")
    requests_log.setLevel(logging.WARNING)
    requests_log.propagate = False

@contextlib.contextmanager
def debug_requests():
    '''Use with 'with'!'''
    debug_requests_on()
    yield
    debug_requests_off()

Demo use:

>>> requests.get('http://httpbin.org/')
<Response [200]>

>>> debug_requests_on()
>>> requests.get('http://httpbin.org/')
INFO:requests.packages.urllib3.connectionpool:Starting new HTTP connection (1): httpbin.org
DEBUG:requests.packages.urllib3.connectionpool:"GET / HTTP/1.1" 200 12150
send: 'GET / HTTP/1.1\r\nHost: httpbin.org\r\nConnection: keep-alive\r\nAccept-
Encoding: gzip, deflate\r\nAccept: */*\r\nUser-Agent: python-requests/2.11.1\r\n\r\n'
reply: 'HTTP/1.1 200 OK\r\n'
header: Server: nginx
...
<Response [200]>

>>> debug_requests_off()
>>> requests.get('http://httpbin.org/')
<Response [200]>

>>> with debug_requests():
...     requests.get('http://httpbin.org/')
INFO:requests.packages.urllib3.connectionpool:Starting new HTTP connection (1): httpbin.org
...
<Response [200]>

You will see the REQUEST, including HEADERS and DATA, and RESPONSE with HEADERS but without DATA. The only thing missing will be the response.body which is not logged.

Source

Question 42

For those using python 3+

import requests
import logging
import http.client

http.client.HTTPConnection.debuglevel = 1

logging.basicConfig()
logging.getLogger().setLevel(logging.DEBUG)
requests_log = logging.getLogger("requests.packages.urllib3")
requests_log.setLevel(logging.DEBUG)
requests_log.propagate = True

Question 43

When trying to get the Python logging system (import logging) to emit low level debug log messages, it suprised me to discover that given:

requests --> urllib3 --> http.client.HTTPConnection

that only urllib3 actually uses the Python logging system:

requests no
http.client.HTTPConnection no
urllib3 yes

Sure, you can extract debug messages from HTTPConnection by setting:

HTTPConnection.debuglevel = 1

but these outputs are merely emitted via the print statement. To prove this, simply grep the Python 3.7 client.py source code and view the print statements yourself (thanks @Yohann):

curl https://raw.githubusercontent.com/python/cpython/3.7/Lib/http/client.py |grep -A1 debuglevel`

Presumably redirecting stdout in some way might work to shoe-horn stdout into the logging system and potentially capture to e.g. a log file.

Choose the ‘`urllib3`‘ logger not ‘`requests.packages.urllib3`‘

To capture urllib3 debug information through the Python 3 logging system, contrary to much advice on the internet, and as @MikeSmith points out, you won’t have much luck intercepting:

log = logging.getLogger('requests.packages.urllib3')

instead you need to:

log = logging.getLogger('urllib3')

Debugging `urllib3` to a log file

Here is some code which logs urllib3 workings to a log file using the Python logging system:

import requests
import logging
from http.client import HTTPConnection  # py3

# log = logging.getLogger('requests.packages.urllib3')  # useless
log = logging.getLogger('urllib3')  # works

log.setLevel(logging.DEBUG)  # needed
fh = logging.FileHandler("requests.log")
log.addHandler(fh)

requests.get('http://httpbin.org/')

the result:

Starting new HTTP connection (1): httpbin.org:80
http://httpbin.org:80 "GET / HTTP/1.1" 200 3168

Enabling the `HTTPConnection.debuglevel` print() statements

If you set HTTPConnection.debuglevel = 1

from http.client import HTTPConnection  # py3
HTTPConnection.debuglevel = 1
requests.get('http://httpbin.org/')

you’ll get the print statement output of additional juicy low level info:

send: b'GET / HTTP/1.1\r\nHost: httpbin.org\r\nUser-Agent: python- 
requests/2.22.0\r\nAccept-Encoding: gzip, deflate\r\nAccept: */*\r\nConnection: keep-alive\r\n\r\n'
reply: 'HTTP/1.1 200 OK\r\n'
header: Access-Control-Allow-Credentials header: Access-Control-Allow-Origin 
header: Content-Encoding header: Content-Type header: Date header: ...

Remember this output uses print and not the Python logging system, and thus cannot be captured using a traditional logging stream or file handler (though it may be possible to capture output to a file by redirecting stdout).

Combine the two above – maximise all possible logging to console

To maximise all possible logging, you must settle for console/stdout output with this:

import requests
import logging
from http.client import HTTPConnection  # py3

log = logging.getLogger('urllib3')
log.setLevel(logging.DEBUG)

# logging from urllib3 to console
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
log.addHandler(ch)

# print statements from `http.client.HTTPConnection` to console/stdout
HTTPConnection.debuglevel = 1

requests.get('http://httpbin.org/')

giving the full range of output:

Starting new HTTP connection (1): httpbin.org:80
send: b'GET / HTTP/1.1\r\nHost: httpbin.org\r\nUser-Agent: python-requests/2.22.0\r\nAccept-Encoding: gzip, deflate\r\nAccept: */*\r\nConnection: keep-alive\r\n\r\n'
reply: 'HTTP/1.1 200 OK\r\n'
http://httpbin.org:80 "GET / HTTP/1.1" 200 3168
header: Access-Control-Allow-Credentials header: Access-Control-Allow-Origin 
header: Content-Encoding header: ...

Question 44

I’m using python 3.4, requests 2.19.1:

‘urllib3’ is the logger to get now (no longer ‘requests.packages.urllib3’). Basic logging will still happen without setting http.client.HTTPConnection.debuglevel

Question 45

Having a script or even a subsystem of an application for a network protocol debugging, it’s desired to see what request-response pairs are exactly, including effective URLs, headers, payloads and the status. And it’s typically impractical to instrument individual requests all over the place. At the same time there are performance considerations that suggest using single (or few specialised) requests.Session, so the following assumes that the suggestion is followed.

requests supports so called event hooks (as of 2.23 there’s actually only response hook). It’s basically an event listener, and the event is emitted before returning control from requests.request. At this moment both request and response are fully defined, hence can be logged.

import logging

import requests


logger = logging.getLogger('httplogger')

def logRoundtrip(response, *args, **kwargs):
    extra = {'req': response.request, 'res': response}
    logger.debug('HTTP roundtrip', extra=extra)

session = requests.Session()
session.hooks['response'].append(logRoundtrip)

That’s basically how to log all HTTP round-trips of a session.

Formatting HTTP round-trip log records

For the logging above to be useful there can be specialised logging formatter that understands req and res extras on logging records. It can look like this:

import textwrap

class HttpFormatter(logging.Formatter):   

    def _formatHeaders(self, d):
        return '\n'.join(f'{k}: {v}' for k, v in d.items())

    def formatMessage(self, record):
        result = super().formatMessage(record)
        if record.name == 'httplogger':
            result += textwrap.dedent('''
                ---------------- request ----------------
                {req.method} {req.url}
                {reqhdrs}

                {req.body}
                ---------------- response ----------------
                {res.status_code} {res.reason} {res.url}
                {reshdrs}

                {res.text}
            ''').format(
                req=record.req,
                res=record.res,
                reqhdrs=self._formatHeaders(record.req.headers),
                reshdrs=self._formatHeaders(record.res.headers),
            )

        return result

formatter = HttpFormatter('{asctime} {levelname} {name} {message}', style='{')
handler = logging.StreamHandler()
handler.setFormatter(formatter)
logging.basicConfig(level=logging.DEBUG, handlers=[handler])

Now if you do some requests using the session, like:

session.get('https://httpbin.org/user-agent')
session.get('https://httpbin.org/status/200')

The output to stderr will look as follows.

2020-05-14 22:10:13,224 DEBUG urllib3.connectionpool Starting new HTTPS connection (1): httpbin.org:443
2020-05-14 22:10:13,695 DEBUG urllib3.connectionpool https://httpbin.org:443 "GET /user-agent HTTP/1.1" 200 45
2020-05-14 22:10:13,698 DEBUG httplogger HTTP roundtrip
---------------- request ----------------
GET https://httpbin.org/user-agent
User-Agent: python-requests/2.23.0
Accept-Encoding: gzip, deflate
Accept: */*
Connection: keep-alive

None
---------------- response ----------------
200 OK https://httpbin.org/user-agent
Date: Thu, 14 May 2020 20:10:13 GMT
Content-Type: application/json
Content-Length: 45
Connection: keep-alive
Server: gunicorn/19.9.0
Access-Control-Allow-Origin: *
Access-Control-Allow-Credentials: true

{
  "user-agent": "python-requests/2.23.0"
}


2020-05-14 22:10:13,814 DEBUG urllib3.connectionpool https://httpbin.org:443 "GET /status/200 HTTP/1.1" 200 0
2020-05-14 22:10:13,818 DEBUG httplogger HTTP roundtrip
---------------- request ----------------
GET https://httpbin.org/status/200
User-Agent: python-requests/2.23.0
Accept-Encoding: gzip, deflate
Accept: */*
Connection: keep-alive

None
---------------- response ----------------
200 OK https://httpbin.org/status/200
Date: Thu, 14 May 2020 20:10:13 GMT
Content-Type: text/html; charset=utf-8
Content-Length: 0
Connection: keep-alive
Server: gunicorn/19.9.0
Access-Control-Allow-Origin: *
Access-Control-Allow-Credentials: true

A GUI way

When you have a lot of queries, having a simple UI and a way to filter records comes at handy. I’ll show to use Chronologer for that (which I’m the author of).

First, the hook has be rewritten to produce records that logging can serialise when sending over the wire. It can look like this:

def logRoundtrip(response, *args, **kwargs): 
    extra = {
        'req': {
            'method': response.request.method,
            'url': response.request.url,
            'headers': response.request.headers,
            'body': response.request.body,
        }, 
        'res': {
            'code': response.status_code,
            'reason': response.reason,
            'url': response.url,
            'headers': response.headers,
            'body': response.text
        },
    }
    logger.debug('HTTP roundtrip', extra=extra)

session = requests.Session()
session.hooks['response'].append(logRoundtrip)

Second, logging configuration has to be adapted to use logging.handlers.HTTPHandler (which Chronologer understands).

import logging.handlers

chrono = logging.handlers.HTTPHandler(
  'localhost:8080', '/api/v1/record', 'POST', credentials=('logger', ''))
handlers = [logging.StreamHandler(), chrono]
logging.basicConfig(level=logging.DEBUG, handlers=handlers)

Finally, run Chronologer instance. e.g. using Docker:

docker run --rm -it -p 8080:8080 -v /tmp/db \
    -e CHRONOLOGER_STORAGE_DSN=sqlite:////tmp/db/chrono.sqlite \
    -e CHRONOLOGER_SECRET=example \
    -e CHRONOLOGER_ROLES="basic-reader query-reader writer" \
    saaj/chronologer \
    python -m chronologer -e production serve -u www-data -g www-data -m

And run the requests again:

session.get('https://httpbin.org/user-agent')
session.get('https://httpbin.org/status/200')

The stream handler will produce:

DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): httpbin.org:443
DEBUG:urllib3.connectionpool:https://httpbin.org:443 "GET /user-agent HTTP/1.1" 200 45
DEBUG:httplogger:HTTP roundtrip
DEBUG:urllib3.connectionpool:https://httpbin.org:443 "GET /status/200 HTTP/1.1" 200 0
DEBUG:httplogger:HTTP roundtrip

Now if you open http://localhost:8080/ (use “logger” for username and empty password for the basic auth popup) and click “Open” button, you should see something like:

Question 46

I’ve been looking through the Python Requests documentation but I cannot see any functionality for what I am trying to achieve.

In my script I am setting allow_redirects=True.

I would like to know if the page has been redirected to something else, what is the new URL.

For example, if the start URL was: www.google.com/redirect

And the final URL is www.google.co.uk/redirected

How do I get that URL?

Question 47

You are looking for the request history.

The response.history attribute is a list of responses that led to the final URL, which can be found in response.url.

response = requests.get(someurl)
if response.history:
    print("Request was redirected")
    for resp in response.history:
        print(resp.status_code, resp.url)
    print("Final destination:")
    print(response.status_code, response.url)
else:
    print("Request was not redirected")

Demo:

>>> import requests
>>> response = requests.get('http://httpbin.org/redirect/3')
>>> response.history
(<Response [302]>, <Response [302]>, <Response [302]>)
>>> for resp in response.history:
...     print(resp.status_code, resp.url)
... 
302 http://httpbin.org/redirect/3
302 http://httpbin.org/redirect/2
302 http://httpbin.org/redirect/1
>>> print(response.status_code, response.url)
200 http://httpbin.org/get

Question 48

This is answering a slightly different question, but since I got stuck on this myself, I hope it might be useful for someone else.

If you want to use allow_redirects=False and get directly to the first redirect object, rather than following a chain of them, and you just want to get the redirect location directly out of the 302 response object, then r.url won’t work. Instead, it’s the “Location” header:

r = requests.get('http://github.com/', allow_redirects=False)
r.status_code  # 302
r.url  # http://github.com, not https.
r.headers['Location']  # https://github.com/ -- the redirect destination

Question 49

the documentation has this blurb https://requests.readthedocs.io/en/master/user/quickstart/#redirection-and-history

import requests

r = requests.get('http://www.github.com')
r.url
#returns https://www.github.com instead of the http page you asked for

Question 50

I think requests.head instead of requests.get will be more safe to call when handling url redirect,check the github issue here:

r = requests.head(url, allow_redirects=True)
print(r.url)

Question 51

For python3.5, you can use the following code:

import urllib.request
res = urllib.request.urlopen(starturl)
finalurl = res.geturl()
print(finalurl)

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回答 2

客户上传

服务器端

Client Upload

Server Side

回答 3

将文件保存在某个位置（临时），然后打开并发送给API

to save file at some location (temporary) and then open and send it to API

问题：“内容”和“文本”有什么区别

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问题：Python请求和持久会话

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问题：Python请求包：处理xml响应

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问题：如何使用Python的“请求”模块“登录”网站？

回答 0

如果您想要的信息在页面上，登录后将立即定向到该页面。

除此以外…

If the information you want is on the page you are directed to immediately after login…

Otherwise…

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问题：记录来自python-requests模块的所有请求

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选择’ urllib3‘logger not’ requests.packages.urllib3‘

调试urllib3到日志文件

启用HTTPConnection.debuglevelprint（）语句

结合以上两者-将所有可能的日志记录最大化到控制台

Choose the ‘urllib3‘ logger not ‘requests.packages.urllib3‘

Debugging urllib3 to a log file

Enabling the HTTPConnection.debuglevel print() statements

Combine the two above – maximise all possible logging to console

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回答 5

格式化HTTP往返日志记录

GUI方式

Formatting HTTP round-trip log records

A GUI way

问题：Python请求库重定向新网址

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有趣好用的Python教程

选择’ `urllib3`‘logger not’ `requests.packages.urllib3`‘

调试`urllib3`到日志文件

启用`HTTPConnection.debuglevel`print（）语句

Choose the ‘`urllib3`‘ logger not ‘`requests.packages.urllib3`‘

Debugging `urllib3` to a log file

Enabling the `HTTPConnection.debuglevel` print() statements