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primpvspycurl

MIT 3 1 504
7.1 million (month) Jun 01 2024 1.2.2(2026-04-03 07:11:15 ago)
1,147 10 6 LGPL-2.1
Feb 25 2003 5.2 million (month) 7.45.7(2025-09-24 13:35:56 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.

PycURL is a Python interface to libcurl, a multi-protocol file transfer library written in C. PycURL allows developers to use a variety of network protocols in their Python programs, including HTTP, FTP, SMTP, POP3, and many more.

PycURL is often used in web scraping, data analysis, and automation tasks, as it allows developers to send and receive data over the internet. It can be used to perform various types of requests, such as GET, POST, PUT, and DELETE, and can also handle file uploads and downloads, cookies, and redirects.

One of the key features of PycURL is its support for SSL and proxy servers, which allows developers to securely transfer data over the internet and work around any network restrictions. PycURL also supports a wide range of authentication methods, such as Basic, Digest, and NTLM, and allows developers to easily set custom headers and query parameters.

Just like cURL itself, PycURL is also highly configurable and allows for fine-grained control over various aspects of the transfer, such as timeouts, retries, buffer sizes, and verbosity levels. Additionally, PycURL also provides easy access to the underlying libcurl library, which allows developers to access advanced functionality that is not exposed by the PycURL API.

It's important to note that PycURL is a wrapper around the libcurl library and therefore provides the same functionality and performance as libcurl.

Main strengths of PycURL is that it uses cURL which is one of the most feature rich low-level http clients. The downside is that it's a very low-level client (see the examples below) with complex API making use in web scraping very difficult and niche.

Highlights


bypasstls-fingerprinthttp-fingerprinthttp2fast
uses-curlhttp2multi-partresponse-streaminghttp-proxy

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 pycurl from io import BytesIO buf = BytesIO() headers = BytesIO() c = pycurl.Curl() c.setopt(c.HTTP_VERSION, c.CURL_HTTP_VERSION_2_0) # set to use http2 # set proxy c.setopt(c.PROXY, 'http://proxy.example.com:8080') c.setopt(c.PROXYUSERNAME, 'username') c.setopt(c.PROXYPASSWORD, 'password') # make a request c.setopt(c.URL, 'https://httpbin.org/get') c.setopt(c.WRITEFUNCTION, buf.write) # where to save response body c.setopt(c.HEADERFUNCTION, headers.write) # where to save response headers # to make post request enable POST option: # c.setopt(c.POST, 1) # c.setopt(c.POSTFIELDS, 'key1=value1&key2=value2') c.perform() # send request # read response data = buf.getvalue().decode() headers = headers.getvalue().decode() # headers as a string headers = dict([h.split(': ') for h in headers.splitlines() if ': ' in h]) # headers as a dict c.close() # multiple concurrent requests can be made using CurlMulti object: # Create a CurlMulti object multi = pycurl.CurlMulti() # Set the number of maximum connections multi.setopt(pycurl.MAXCONNECTS, 5) # Create a list to store the Curl objects curls = [] # Add the first request c1 = pycurl.Curl() c1.setopt(c1.URL, 'https://httpbin.org/get') c1.setopt(c1.WRITEFUNCTION, BytesIO().write) multi.add_handle(c1) curls.append(c1) # Add the second request c2 = pycurl.Curl() c2.setopt(c2.URL, 'https://httpbin.org/') c2.setopt(c2.WRITEFUNCTION, BytesIO().write) multi.add_handle(c2) curls.append(c2) # Start the requests while True: ret, _ = multi.perform() if ret != pycurl.E_CALL_MULTI_PERFORM: break # Close the connections for c in curls: multi.remove_handle(c) c.close() ```

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