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primpvshttpx

MIT 3 1 504
7.1 million (month) Jun 01 2024 1.2.2(2026-04-03 07:11:15 ago)
15,183 12 149 BSD-3-Clause
Jul 26 2019 518.7 million (month) 0.28.1(2024-12-06 15:37:21 ago)

Primp is a Python HTTP client that impersonates real web browsers by replicating their TLS fingerprints, HTTP/2 settings, and header ordering. It is a lightweight alternative to curl-cffi for bypassing TLS and HTTP fingerprinting-based bot detection.

Key features include:

  • Browser impersonation Can impersonate Chrome, Firefox, Safari, Edge, and OkHttp clients by replicating their exact TLS fingerprints (JA3/JA4), HTTP/2 frame settings, header ordering, and other connection-level characteristics.
  • HTTP/2 support Full HTTP/2 support with configurable settings that match real browser behavior.
  • Lightweight Smaller and simpler than curl-cffi while providing similar impersonation capabilities. Built on Rust for performance.
  • Familiar API Provides a requests-like API with Session support, making it easy to adopt for developers familiar with the Python requests library.
  • Proxy support HTTP and SOCKS5 proxy support with authentication.
  • Cookie management Automatic cookie handling across requests within a session.

Primp fills a similar niche to curl-cffi and hrequests — HTTP clients designed to avoid TLS/HTTP fingerprinting — but takes a Rust-powered approach for better performance. It is particularly useful when you need to bypass bot detection that relies on connection-level fingerprinting without using a full browser.

httpx is a fully featured HTTP client for Python 3, which provides sync and async APIs, and support for both HTTP/1.1 and HTTP/2. It is designed to be a replacement for the popular requests package, with the added benefit of being fully compatible with Python 3's async features.

One of the main features of httpx is its support for asynchronous programming. This means that it can send multiple requests at the same time, without blocking the execution of your program. This can lead to significant performance improvements, especially when working with many small requests, or when dealing with slow or unreliable network connections.

httpx also supports sending HTTP/2 requests, which allows for more efficient use of network resources and can result in faster page loads.

One of the strengths of httpx is the possibility of working on streaming mode for the response data. This means you can process the response as it comes in, instead of waiting for the entire response to be received. This is useful when working with large files, or when you need to process the data in real-time.

Additionally, httpx provides a number of other features that are common in modern HTTP clients, such as support for sending and receiving cookies, handling redirects, and working with multipart file uploads. It also include support for several well-known authentication modules like BasicAuth, DigestAuth, and BearerAuth.

Highlights


bypasstls-fingerprinthttp-fingerprinthttp2fast
asynciotriosynchttp2

Example Use


```python import primp # Create a session that impersonates Chrome session = primp.Session(impersonate="chrome_131") # Make requests - TLS fingerprint matches real Chrome response = session.get("https://example.com") print(response.status_code) print(response.text) # POST with JSON data response = session.post( "https://api.example.com/data", json={"key": "value"}, ) # With proxy session = primp.Session( impersonate="firefox_133", proxy="http://user:pass@proxy.example.com:8080", ) response = session.get("https://example.com") # Different browser impersonation profiles for browser in ["chrome_131", "firefox_133", "safari_18", "edge_131"]: session = primp.Session(impersonate=browser) resp = session.get("https://tls.peet.ws/api/all") print(f"{browser}: {resp.json()['ja3_hash']}") ```
```python import httpx # Just like requests httpx can be used directly response = httpx.get("http://webscraping.fyi/") response.status_code 200 response.text "text" response.content b"bytes" # HTTP2 needs to be enabled explicitly and is recommended for web scraping: response = httpx.get("http://webscraping.fyi/", http2=True) # httpx can automatically convert json responses to Python dictionaries: response = httpx.get("http://httpbin.org/json") print(response.json()) {'slideshow': {'author': 'Yours Truly', 'date': 'date of publication', 'slides': [{'title': 'Wake up to WonderWidgets!', 'type': 'all'}, {'items': ['Why WonderWidgets are great', 'Who buys WonderWidgets'], 'title': 'Overview', 'type': 'all'}], 'title': 'Sample Slide Show'}} # for POST request it can ingest Python's dictionaries as JSON: response = requests.post("http://httpbin.org/post", json={"query": "hello world"}) # or form data: response = requests.post("http://httpbin.org/post", data={"query": "hello world"}) # persistent client can be established using Client object # this allows to set default values and automatically track cookies from httpx import Client c = Client(headers={"User-Agent": "webscraping.fyi"}, http2=True) c.get('http://httpbin.org/cookies/set/foo/bar') print(c.cookies['foo']) 'bar' print(c.get('http://httpbin.org/cookies').json()) {'cookies': {'foo': 'bar'}} # for asynchronous requests AsyncClient must be used: import asyncio from httpx import AsyncClient async def example_use(): async with AsyncClient(headers={"User-Agent": "webscraping.fyi"}) as client: response = await client.get("http://httpbing.org/get") # to schedule multiple requests concurrently use asyncio gather or as_completed three_concurrent_responses = await asyncio.gather( client.get("http://httpbing.org/get"), client.get("http://httpbing.org/get"), client.get("http://httpbing.org/get"), ) asyncio.run(example_use()) ```

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