libcurl ffi bindings for Python, with impersonation support
Project description
curl_cffi
Python binding for curl-impersonate via cffi.
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/tls_client, 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.
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.
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Hashes for curl_cffi-0.5.9b5-cp37-abi3-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7d1dc679f48e33215962c6bc9433fab76603e8552a8c2fabce56cf37703b18f9 |
|
MD5 | 41a13ed8f966362807ebbf09b7d87674 |
|
BLAKE2b-256 | 1b325d8c21dbe4ac02002973823410a83fa7e69c04dc70e7b5f5af0b5c105fe5 |
Hashes for curl_cffi-0.5.9b5-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 670eefaba864085ed0a43dc63f7c09162a7593ee8bf575edb79d7961ed109517 |
|
MD5 | 4aa9c5b94bbbaeef24cae24565345591 |
|
BLAKE2b-256 | 3a907456b9f89f2bdc9698a239205d903884a854b537e0f25557fabf64816824 |
Hashes for curl_cffi-0.5.9b5-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b86c73a61acb03e185d2a71c762e2303bbafa702f4c31582d0d85bd4b16d9a41 |
|
MD5 | eeec4cc39adcea13533fa4f94d66f63a |
|
BLAKE2b-256 | 4a34ce13ac3cf86cbdeeb3c695600a28b15eb495d0bc7e7c9aeea67cf7a5bd89 |
Hashes for curl_cffi-0.5.9b5-cp37-abi3-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ddb60dd2a1f091b8a0098c2f854a0863c7ebbbb07cf71e41b79e0ed2ea2630f7 |
|
MD5 | 79a5e4334004e0b68b3275d2f0f26192 |
|
BLAKE2b-256 | b9652cc569cc824fca4132cd103629e8ddd58ebf5a277fadb1249bb2ce70f230 |
Hashes for curl_cffi-0.5.9b5-cp37-abi3-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b1f89ce1b3f451ec83381f58fb5b62c9f18e0124a7963f6dbe691d1d6bdf7d2e |
|
MD5 | 738ff79d16a1d4e6fb8ee0629478d757 |
|
BLAKE2b-256 | 0877dc05511b61ccc6ee00d394fb9bb0641d1e74419cc5cdd509a0b0af37d0c4 |