cryinglee/curl_cffi

Python binding for curl-impersonate via cffi. A http client that can impersonate browser tls/ja3/http2 fingerprints.

curl_cffi

Python binding for curl-impersonate via cffi.

Documentation | 中文 README

Unlike other pure python http clients like httpx or requests, curl_cffi can impersonate browsers' TLS signatures or JA3 fingerprints. If you are blocked by some website for no obvious reason, you can give this package a try.

Features

• Supports JA3/TLS and http2 fingerprints impersonation.
• Much faster than requests/httpx, on par with aiohttp/pycurl, see benchmarks.
• Mimics requests API, no need to learn another one.
• Pre-compiled, so you don't have to compile on your machine.
• Supports asyncio with proxy rotation on each request.
• Supports http 2.0, which requests does not.

library	requests	aiohttp	httpx	pycurl	curl_cffi
http2	❌	❌	✅	✅	✅
sync	✅	❌	✅	✅	✅
async	❌	✅	✅	❌	✅
fingerprints	❌	❌	❌	❌	✅
speed	🐇	🐇🐇	🐇	🐇🐇	🐇🐇

Install

pip install curl_cffi --upgrade

This should work on Linux(x86_64/aarch64), macOS(Intel/Apple Silicon) and Windows(amd64). If it does not work on you platform, you may need to compile and install curl-impersonate first and set some environment variables like LD_LIBRARY_PATH.

To install beta releases:

pip install curl_cffi --pre

Usage

requests-like

from curl_cffi import requests

# Notice the impersonate parameter
r = requests.get("https://tls.browserleaks.com/json", impersonate="chrome110")

print(r.json())
# output: {..., "ja3n_hash": "aa56c057ad164ec4fdcb7a5a283be9fc", ...}
# the js3n fingerprint should be the same as target browser

# http/socks proxies are supported
proxies = {"https": "http://localhost:3128"}
r = requests.get("https://tls.browserleaks.com/json", impersonate="chrome110", proxies=proxies)

proxies = {"https": "socks://localhost:3128"}
r = requests.get("https://tls.browserleaks.com/json", impersonate="chrome110", proxies=proxies)

Sessions

# sessions are supported
s = requests.Session()
# httpbin is a http test website
s.get("https://httpbin.org/cookies/set/foo/bar")
print(s.cookies)
# <Cookies[<Cookie foo=bar for httpbin.org />]>
r = s.get("https://httpbin.org/cookies")
print(r.json())
# {'cookies': {'foo': 'bar'}}

Supported impersonate versions, as supported by curl-impersonate:

• chrome99
• chrome100
• chrome101
• chrome104
• chrome107
• chrome110
• chrome99_android
• edge99
• edge101
• safari15_3
• safari15_5

asyncio

from curl_cffi.requests import AsyncSession

async with AsyncSession() as s:
    r = await s.get("https://example.com")

More concurrency:

import asyncio
from curl_cffi.requests import AsyncSession

urls = [
    "https://googel.com/",
    "https://facebook.com/",
    "https://twitter.com/",
]

async with AsyncSession() as s:
    tasks = []
    for url in urls:
        task = s.get("https://example.com")
        tasks.append(task)
    results = await asyncio.gather(*tasks)

curl-like

Alternatively, you can use the low-level curl-like API:

from curl_cffi import Curl, CurlOpt
from io import BytesIO

buffer = BytesIO()
c = Curl()
c.setopt(CurlOpt.URL, b'https://tls.browserleaks.com/json')
c.setopt(CurlOpt.WRITEDATA, buffer)

c.impersonate("chrome110")

c.perform()
c.close()
body = buffer.getvalue()
print(body.decode())

See the docs for more details.

If you are using scrapy, check out this middleware: tieyongjie/scrapy-fingerprint

Acknowledgement

• Originally forked from multippt/python_curl_cffi, which is under the MIT license.
• Headers/Cookies files are copied from httpx, which is under the BSD license.
• Asyncio support is inspired by Tornado's curl http client.