curl-cffivstreq

MIT 34 2 1,751

594.9 thousand (month) Feb 23 2022 0.7.1(2024-07-13 09:07:25 ago)

605 15 60 NOASSERTION

Dec 28 2012 212.8 thousand (month) 25.5.0(2025-06-03 03:42:30 ago)

Curl-cffi is a Python library for implementing curl-impersonate which is a HTTP client that appears as one of popular web browsers like: - Google Chrome - Microsoft Edge - Safari - Firefox Unlike requests and httpx which are native Python libraries, curl-cffi uses cURL and inherits it's powerful features like extensive HTTP protocol support and detection patches for TLS and HTTP fingerprinting.

Using curl-cffi web scrapers can bypass TLS and HTTP fingerprinting.

treq is a Python library for making HTTP requests that provides a simple, convenient API for interacting with web services. It is inspired byt the popular requests library, but powered by Twisted asynchronous engine which allows promise based concurrency.

treq provides a simple, high-level API for making HTTP requests, including methods for GET, POST, PUT, DELETE, etc. It also allows for easy handling of JSON data, automatic decompression of gzipped responses, and connection pooling.

treq is a lightweight library and it's easy to use, it's a good choice for small to medium-sized projects where ease of use is more important than performance.

In web scraping treq isn't commonly used as it doesn't support HTTP2 but it's the only Twisted based HTTP client. treq is also based on callback/errback promises (like Scrapy) which can be easier to understand and maintain compared to asyncio's corountines.

Highlights

bypasshttp2tls-fingerprinthttp-fingerprintsyncasync

uses-twistedno-http2

Example Use

curl-cffi can be accessed as low-level curl client as well as an easy high-level HTTP client: ```python from curl_cffi import requests response = requests.get('https://httpbin.org/json') print(response.json()) # or using sessions session = requests.Session() response = session.get('https://httpbin.org/json') # also supports async requests using asyncio import asyncio from curl_cffi.requests import AsyncSession urls = [ "http://httpbin.org/html", "http://httpbin.org/html", "http://httpbin.org/html", ] async with AsyncSession() as s: tasks = [] for url in urls: task = s.get(url) tasks.append(task) # scrape concurrently: responses = await asyncio.gather(*tasks) # also supports websocket connections from curl_cffi.requests import Session, WebSocket def on_message(ws: WebSocket, message): print(message) with Session() as s: ws = s.ws_connect( "wss://api.gemini.com/v1/marketdata/BTCUSD", on_message=on_message, ) ws.run_forever() ```

```python from twisted.internet import reactor from twisted.internet.task import react from twisted.internet.defer import ensureDeferred import treq # treq can be used with twisted's reactor with callbacks response_deferred = treq.get( "http://httpbin.org/get" ) # or POST response_deferred = treq.post( "http://httpbin.org/post", json={"key": "value"}, # JSON data={"key": "value"}, # Form Data ) # add callback or errback def handle_response(response): print(response.code) response.text().addCallback(lambda body: print(body)) def handle_error(failure): print(failure) # this callback will be called when request completes: response_deferred.addCallback(handle_response) # this errback will be called if request fails response_deferred.addErrback(handle_error) # this will be called if request completes or fails: response_deferred.addBoth(lambda _: reactor.stop()) # close twisted once finished if __name__ == '__main__': reactor.run() #Note that treq can also be used with async/await: async def main(): # content reads response data and get sends a get request: print(await treq.content(await treq.get("https://example.com/"))) if __name__ == '__main__': react(lambda reactor: ensureDeferred(main())) ``` ```

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