How to scrape a website which requires login using python and beautifulsoup?

You can use selenium to log in and retrieve the page source, which you can then pass to Beautiful Soup to extract the data you want.

If you go for selenium, then you can do something like below:

from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support.ui import WebDriverWait

# If you want to open Chrome
driver = webdriver.Chrome()
# If you want to open Firefox
driver = webdriver.Firefox()

username = driver.find_element_by_id("username")
password = driver.find_element_by_id("password")
username.send_keys("YourUsername")
password.send_keys("YourPassword")
driver.find_element_by_id("submit_btn").click()

However, if you’re adamant that you’re only going to use BeautifulSoup, you can do that with a library like requests or urllib. Basically all you have to do is POST the data as a payload with the URL.

import requests
from bs4 import BeautifulSoup

login_url = 'http://example.com/login'
data = {
    'username': 'your_username',
    'password': 'your_password'
}

with requests.Session() as s:
    response = s.post(login_url , data)
    print(response.text)
    index_page= s.get('http://example.com')
    soup = BeautifulSoup(index_page.text, 'html.parser')
    print(soup.title)

There is a simpler way, from my pov, that gets you there without selenium or mechanize, or other 3rd party tools, albeit it is semi-automated.

Basically, when you login into a site in a normal way, you identify yourself in a unique way using your credentials, and the same identity is used thereafter for every other interaction, which is stored in cookies and headers, for a brief period of time.

What you need to do is use the same cookies and headers when you make your http requests, and you’ll be in.

To replicate that, follow these steps:

1. In your browser, open the developer tools
2. Go to the site, and login
3. After the login, go to the network tab, and then refresh the page
   At this point, you should see a list of requests, the top one being the actual site – and that will be our focus, because it contains the data with the identity we can use for Python and BeautifulSoup to scrape it
4. Right click the site request (the top one), hover over copy, and then copy as
cURL
   Like this:

5. Then go to this site which converts cURL into python requests: https://curl.trillworks.com/
6. Take the python code and use the generated cookies and headers to proceed with the scraping

Since Python version wasn’t specified, here is my take on it for Python 3, done without any external libraries (StackOverflow). After login use BeautifulSoup as usual, or any other kind of scraping.

Likewise, script on my GitHub here

Whole script replicated below as to StackOverflow guidelines:

# Login to website using just Python 3 Standard Library
import urllib.parse
import urllib.request
import http.cookiejar

def scraper_login():
    ####### change variables here, like URL, action URL, user, pass
    # your base URL here, will be used for headers and such, with and without https://
    base_url = 'www.example.com'
    https_base_url = 'https://' + base_url

    # here goes URL that's found inside form action='.....'
    #   adjust as needed, can be all kinds of weird stuff
    authentication_url = https_base_url + '/login'

    # username and password for login
    username = 'yourusername'
    password = 'SoMePassw0rd!'

    # we will use this string to confirm a login at end
    check_string = 'Logout'

    ####### rest of the script is logic
    # but you will need to tweak couple things maybe regarding "token" logic
    #   (can be _token or token or _token_ or secret ... etc)

    # big thing! you need a referer for most pages! and correct headers are the key
    headers={"Content-Type":"application/x-www-form-urlencoded",
    "User-agent":"Mozilla/5.0 Chrome/81.0.4044.92",    # Chrome 80+ as per web search
    "Host":base_url,
    "Origin":https_base_url,
    "Referer":https_base_url}

    # initiate the cookie jar (using : http.cookiejar and urllib.request)
    cookie_jar = http.cookiejar.CookieJar()
    opener = urllib.request.build_opener(urllib.request.HTTPCookieProcessor(cookie_jar))
    urllib.request.install_opener(opener)

    # first a simple request, just to get login page and parse out the token
    #       (using : urllib.request)
    request = urllib.request.Request(https_base_url)
    response = urllib.request.urlopen(request)
    contents = response.read()

    # parse the page, we look for token eg. on my page it was something like this:
    #    <input type="hidden" name="_token" value="random1234567890qwertzstring">
    #       this can probably be done better with regex and similar
    #       but I'm newb, so bear with me
    html = contents.decode("utf-8")
    # text just before start and just after end of your token string
    mark_start = '<input type="hidden" name="_token" value="'
    mark_end = '">'
    # index of those two points
    start_index = html.find(mark_start) + len(mark_start)
    end_index = html.find(mark_end, start_index)
    # and text between them is our token, store it for second step of actual login
    token = html[start_index:end_index]

    # here we craft our payload, it's all the form fields, including HIDDEN fields!
    #   that includes token we scraped earler, as that's usually in hidden fields
    #   make sure left side is from "name" attributes of the form,
    #       and right side is what you want to post as "value"
    #   and for hidden fields make sure you replicate the expected answer,
    #       eg. "token" or "yes I agree" checkboxes and such
    payload = {
        '_token':token,
    #    'name':'value',    # make sure this is the format of all additional fields !
        'login':username,
        'password':password
    }

    # now we prepare all we need for login
    #   data - with our payload (user/pass/token) urlencoded and encoded as bytes
    data = urllib.parse.urlencode(payload)
    binary_data = data.encode('UTF-8')
    # and put the URL + encoded data + correct headers into our POST request
    #   btw, despite what I thought it is automatically treated as POST
    #   I guess because of byte encoded data field you don't need to say it like this:
    #       urllib.request.Request(authentication_url, binary_data, headers, method='POST')
    request = urllib.request.Request(authentication_url, binary_data, headers)
    response = urllib.request.urlopen(request)
    contents = response.read()

    # just for kicks, we confirm some element in the page that's secure behind the login
    #   we use a particular string we know only occurs after login,
    #   like "logout" or "welcome" or "member", etc. I found "Logout" is pretty safe so far
    contents = contents.decode("utf-8")
    index = contents.find(check_string)
    # if we find it
    if index != -1:
        print(f"We found '{check_string}' at index position : {index}")
    else:
        print(f"String '{check_string}' was not found! Maybe we did not login ?!")

scraper_login()