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superagentvscurl-cffi

MIT 177 16 16,600
44.9 million (month) Aug 22 2011 10.1.1(a month ago)
1,751 2 34 MIT
Feb 23 2022 594.9 thousand (month) 0.7.1(4 months ago)

superagent is an HTTP client library for Node.js that provides a simple, flexible, and powerful API for making HTTP requests. It supports all major HTTP methods, and has a clean and easy-to-use interface for handling responses and errors.

what differentiates superagent from other http clients is its simple declarative API.

Curl-cffi is a Python library for implementing curl-impersonate which is a HTTP client that appears as one of popular web browsers like: - Google Chrome - Microsoft Edge - Safari - Firefox Unlike requests and httpx which are native Python libraries, curl-cffi uses cURL and inherits it's powerful features like extensive HTTP protocol support and detection patches for TLS and HTTP fingerprinting.

Using curl-cffi web scrapers can bypass TLS and HTTP fingerprinting.

Highlights


declarativeproxypopular
bypasshttp2tls-fingerprinthttp-fingerprintsyncasync

Example Use


const superagent = require('superagent');

// superagent supports both Promises and async/await
superagent.get('https://httpbin.org/get')
    .then(res => console.log(res.text))
    .catch(err => console.error(err));
const response = superagent.get('https://httpbin.org/get')

// post requests:
superagent.post('https://httpbin.org/post').send({ name: 'John Doe' })

// setting proxy
superagent.get('https://httpbin.org/ip').proxy('http://proxy.example.com:8080')

// settings headers and proxies
superagent.get('https://httpbin.org/headers').set('Cookie', 'myCookie=123').set('X-My-Header', 'myValue')
curl-cffi can be accessed as low-level curl client as well as an easy high-level HTTP client:
from curl_cffi import requests

response = requests.get('https://httpbin.org/json')
print(response.json())

# or using sessions
session = requests.Session()
response = session.get('https://httpbin.org/json')

# also supports async requests using asyncio
import asyncio
from curl_cffi.requests import AsyncSession

urls = [
  "http://httpbin.org/html",
  "http://httpbin.org/html",
  "http://httpbin.org/html",
]

async with AsyncSession() as s:
    tasks = []
    for url in urls:
        task = s.get(url)
        tasks.append(task)
    # scrape concurrently:
    responses = await asyncio.gather(*tasks)

# also supports websocket connections
from curl_cffi.requests import Session, WebSocket

def on_message(ws: WebSocket, message):
    print(message)

with Session() as s:
    ws = s.ws_connect(
        "wss://api.gemini.com/v1/marketdata/BTCUSD",
        on_message=on_message,
    )
    ws.run_forever()

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