treqvshrequests

NOASSERTION 60 15 605

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

1,001 1 51 MIT

Feb 23 2022 33.3 thousand (month) 0.9.2(2024-12-01 02:55:27 ago)

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.

hrequests is a feature rich modern replacement for a famous requests library for Python. It provides a feature rich HTTP client capable of resisting popular scraper identification techniques: - Seamless transition between headless browser and http client based requests - Integrated HTML parser - Mimicking of real browser TLS fingerprints - Javascript rendering - HTTP2 support - Realistic browser headers

Highlights

uses-twistedno-http2

bypasshttp2tls-fingerprinthttp-fingerprintsyncasync

Example Use

```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())) ``` ```

hrequests has almost identical API and UX as requests and here's a quick overview: ```python import hrequests # perform HTTP client requests resp = hrequests.get('https://httpbin.org/html') print(resp.status_code) # 200 # use headless browsers and sessions: session = hrequests.Session('chrome', version=122, os="mac") # supports asyncio and easy concurrency requests = [ hrequests.async_get('https://www.google.com/', browser='firefox'), hrequests.async_get('https://www.duckduckgo.com/'), hrequests.async_get('https://www.yahoo.com/'), hrequests.async_get('https://www.httpbin.org/'), ] responses = hrequests.map(requests, size=3) # max 3 conccurency ```

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