Skip to content

primpvshttr

MIT 3 1 504
7.1 million (month) Jun 01 2024 1.2.2(2026-04-03 07:11:15 ago)
985 9 10 MIT
May 06 2012 1.2 million (month) 1.4.8(2023-08-15 11:00:00 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.

The aim of httr is to provide a wrapper for the curl package, customised to the demands of modern web APIs.

Key features:

  • Functions for the most important http verbs: GET(), HEAD(), PATCH(), PUT(), DELETE() and POST().
  • Automatic connection sharing across requests to the same website (by default, curl handles are managed automatically), cookies are maintained across requests, and a up-to-date root-level SSL certificate store is used.
  • Requests return a standard reponse object that captures the http status line, headers and body, along with other useful information.
  • Response content is available with content() as a raw vector (as = "raw"), a character vector (as = "text"), or parsed into an R object (as = "parsed"), currently for html, xml, json, png and jpeg.
  • You can convert http errors into R errors with stop_for_status().
  • Config functions make it easier to modify the request in common ways: set_cookies(), add_headers(), authenticate(), use_proxy(), verbose(), timeout(), content_type(), accept(), progress().
  • Support for OAuth 1.0 and 2.0 with oauth1.0_token() and oauth2.0_token(). The demo directory has eight OAuth demos: four for 1.0 (twitter, vimeo, withings and yahoo) and four for 2.0 (facebook, github, google, linkedin). OAuth credentials are automatically cached within a project.

Highlights


bypasstls-fingerprinthttp-fingerprinthttp2fast

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']}") ```
```r library(httr) # GET requests: resp <- GET("http://httpbin.org/get") status_code(resp) # status code headers(resp) # headers str(content(resp)) # body # POST requests: # Form encoded resp <- POST(url, body = body, encode = "form") # Multipart encoded resp <- POST(url, body = body, encode = "multipart") # JSON encoded resp <- POST(url, body = body, encode = "json") # setting cookies: resp <- GET("http://httpbin.org/cookies", set_cookies("MeWant" = "cookies")) content(r)$cookies # get response cookies ```

Alternatives / Similar


Was this page helpful?