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primpvsnodriver

MIT 3 1 504
7.1 million (month) Jun 01 2024 1.2.2(2026-04-03 07:11:15 ago)
4,003 2 14 AGPL-3.0
Jan 15 2024 321.9 thousand (month) 0.48.1(2025-11-09 05:57:23 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.

nodriver is a Python library for browser automation that communicates directly with the browser via the Chrome DevTools Protocol (CDP), without relying on Selenium or chromedriver. It is the successor to undetected-chromedriver, created by the same author, and is designed from the ground up to be undetectable by anti-bot systems.

Key advantages over traditional browser automation:

  • No chromedriver dependency Communicates directly with Chrome/Chromium via CDP websocket, eliminating the most common detection vector (chromedriver fingerprint).
  • Undetectable by default Does not set the navigator.webdriver flag, does not inject automation-related JavaScript, and avoids CDP detection patterns that anti-bot systems look for.
  • Fast and lightweight Without the Selenium/WebDriver protocol overhead, nodriver is significantly faster at launching browsers and executing commands.
  • Async-first Built entirely on Python's asyncio, enabling efficient concurrent browser automation.
  • Simple API Clean, Pythonic API that is easier to use than raw CDP or Selenium.

nodriver is particularly useful for scraping websites protected by advanced anti-bot systems like Cloudflare, DataDome, or PerimeterX, where standard Selenium or Playwright setups get detected and blocked.

Highlights


bypasstls-fingerprinthttp-fingerprinthttp2fast
anti-detectcdpasyncfast

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 nodriver as uc import asyncio async def main(): # Launch browser - undetected by default browser = await uc.start() # Open a new tab and navigate tab = await browser.get("https://example.com") # Wait for an element and interact with it search_box = await tab.find("input[name='q']") await search_box.send_keys("web scraping") # Click a button button = await tab.find("button[type='submit']") await button.click() # Wait for navigation and extract content await tab.wait_for("div.results") results = await tab.query_selector_all("div.result") for result in results: title = await result.query_selector("h3") print(await title.get_text()) # Take a screenshot await tab.save_screenshot("results.png") browser.stop() asyncio.run(main()) ```

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