A simple Python module to bypass Cloudflare's anti-bot page (also known as "I'm Under Attack Mode", or IUAM), implemented with Requests. Cloudflare changes their techniques periodically, so I will update this repo frequently.
This can be useful if you wish to scrape or crawl a website protected with Cloudflare. Cloudflare's anti-bot page currently just checks if the client supports Javascript, though they may add additional techniques in the future.
Due to Cloudflare continually changing and hardening their protection page, cloudflare-scrape now uses Js2Py. Js2Py transpiles Javascript to Python, which allows Cloudflare's Javascript challenges to be evaluated and solved with pure Python.
Note: This only works when regular Cloudflare anti-bots is enabled (the "Checking your browser before accessing..." loading page). If there is a reCAPTCHA challenge, you're out of luck. Thankfully, the Javascript check page is much more common.
For reference, this is the default message Cloudflare uses for these sorts of pages:
Checking your browser before accessing website.com.
This process is automatic. Your browser will redirect to your requested content shortly.
Please allow up to 5 seconds...
Any script using cloudflare-scrape will sleep for 5 seconds for the first visit to any site with Cloudflare anti-bots enabled, though no delay will occur after the first request.
Simply run pip install cfscrape. The PyPI package is at https://pypi.python.org/pypi/cfscrape/
Alternatively, clone this repository and run python setup.py install.
python setup.py install will install all of these dependencies.
Cloudflare modifies their anti-bot protection page occasionally. So far it has changed maybe once per year on average.
If you notice that the anti-bot page has changed, or if this module suddenly stops working, please create a GitHub issue so that I can update the code accordingly.
In your issue, please include:
- The full exception and stack trace.
- The URL of the Cloudflare-protected page which the script does not work on.
- A Pastebin or Gist containing the HTML source of the protected page.
This issue comment is a good example.
The simplest way to use cloudflare-scrape is by calling create_scraper().
import cfscrape
scraper = cfscrape.create_scraper() # returns a CloudflareScraper instance
# Or: scraper = cfscrape.CloudflareScraper() # CloudflareScraper inherits from requests.Session
print scraper.get("http://somesite.com").content # => "<!DOCTYPE html><html><head>..."That's it. Any requests made from this session object to websites protected by Cloudflare anti-bot will be handled automatically. Websites not using Cloudflare will be treated normally. You don't need to configure or call anything further, and you can effectively treat all websites as if they're not protected with anything.
You use cloudflare-scrape exactly the same way you use Requests. (CloudflareScraper works identically to a requests Session object.) Just instead of calling requests.get() or requests.post(), you call scraper.get() or scraper.post(). Consult Requests' documentation for more information.
If you already have an existing requests session, you can pass it to create_scraper() to continue using that session.
session = requests.session()
session.headers = ...
scraper = cfscrape.create_scraper(sess=session)Unfortunately, not all of requests' session attributes are easily transferable, so if you run into problems with this, you should replace your initial sess = requests.session() call with sess = cfscrape.create_scraper().
It's easy to integrate cloudflare-scrape with other applications and tools. Cloudflare uses two cookies as tokens: one to verify you made it past their challenge page and one to track your session. To bypass the challenge page, simply include both of these cookies (with the appropriate user-agent) in all HTTP requests you make.
To retrieve just the cookies (as a dictionary), use cfscrape.get_tokens(). To retrieve them as a full Cookie HTTP header, use cfscrape.get_cookie_string().
User-Agent Handling
The two integration functions return a tuple of (cookie, user_agent_string). You must use the same user-agent string for obtaining tokens and for making requests with those tokens, otherwise Cloudflare will flag you as a bot. That means you have to pass the returned user_agent_string to whatever script, tool, or service you are passing the tokens to (e.g. curl, or a specialized scraping tool), and it must use that passed user-agent when it makes HTTP requests.
If your tool already has a particular user-agent configured, you can make cloudflare-scrape use it with cfscrape.get_tokens("http://somesite.com/", user_agent="User-Agent Here") (also works for get_cookie_string). Otherwise, a user-agent spoofing Firefox on Linux will be chosen by default.
Remember, you must always use the same user-agent when retrieving or using these cookies. These functions all return a tuple of (data, user_agent).
Retrieving a cookie dict
get_tokens is a convenience function for returning a Python dict containing Cloudflare's session cookies.
import cfscrape
tokens, user_agent = cfscrape.get_tokens("http://somesite.com")
print tokens
# => {'cf_clearance': 'c8f913c707b818b47aa328d81cab57c349b1eee5-1426733163-3600', '__cfduid': 'dd8ec03dfdbcb8c2ea63e920f1335c1001426733158'}Retrieving a cookie string
get_cookie_string is a convenience function for returning the tokens as a string for use as a Cookie HTTP header value.
This is useful when crafting an HTTP request manually, or working with an external application or library that passes on raw cookie headers.
import cfscrape
request = "GET / HTTP/1.1\r\n"
cookie_value, user_agent = cfscrape.get_cookie_string("http://somesite.com")
request += "Cookie: %s\r\nUser-Agent: %s\r\n" % (cookie_value, user_agent)
print request
# GET / HTTP/1.1\r\n
# Cookie: cf_clearance=c8f913c707b818b47aa328d81cab57c349b1eee5-1426733163-3600; __cfduid=dd8ec03dfdbcb8c2ea63e920f1335c1001426733158
# User-Agent: Some/User-Agent Stringcurl example
Here is an example of integrating cloudflare-scrape with curl. As you can see, all you have to do is pass the cookies and user-agent to curl.
import subprocess
import cfscrape
# With get_tokens() cookie dict:
# tokens, user_agent = cfscrape.get_tokens("http://somesite.com")
# cookie_arg = "cf_clearance=%s; __cfduid=%s" % (tokens["cf_clearance"], tokens["__cfduid"])
# With get_cookie_string() cookie header; recommended for curl and similar external applications:
cookie_arg, user_agent = cfscrape.get_cookie_string("http://somesite.com")
# With a custom user-agent string you can optionally provide:
# ua = "Scraping Bot"
# cookie_arg, user_agent = cfscrape.get_cookie_string("http://somesite.com", user_agent=ua)
result = subprocess.check_output(["curl", "--cookie", cookie_arg, "-A", user_agent, "http://somesite.com"])Trimmed down version. Prints page contents of any site protected with Cloudflare, via curl. (Warning: shell=True can be dangerous to use with subprocess in real code.)
url = "http://somesite.com"
cookie_arg, user_agent = cfscrape.get_cookie_string(url)
cmd = "curl --cookie {cookie_arg} -A {user_agent} {url}"
print(subprocess.check_output(cmd.format(cookie_arg=cookie_arg, user_agent=user_agent, url=url), shell=True))curl through proxy example
Fetch page contents of any site protected with Cloudflare via curl through a proxy. cfscrape and curl must use the same proxy and thus the proxy must be sticky (It cannot change IP address on each HTTP request).
import subprocess
import cfscrape
url = "http://somesite.com"
useragent = "Scraping Bot"
proxy = "http://someproxy.com:1234"
proxies = {
'http': proxy,
'https': proxy,
}
cookie_arg, user_agent = cfscrape.get_cookie_string(url, useragent, proxies=proxies)
print(subprocess.check_output(["curl", "--cookie", cookie_arg, "-A", user_agent, "--proxy", proxy, url]), shell=True)This is a very simple and small library that just about anyone could make, but if you are interested in donating to support my efforts, you can donate Bitcoin to:
1FDQDWLdYDxTnuJzKL6bDqJ5KYT7yqvBVH
All donations are unnecessary and not expected, but greatly appreciated.