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curl-cffivsrvest

MIT 28 2 1,603
282.6 thousand (month) Feb 23 2022 0.6.4(a month ago)
1,485 1 23 MIT
Nov 22 2014 502.9 thousand (month) 1.0.4(1 year, 10 months ago)

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.

rvest is a popular R library for web scraping and parsing HTML and XML documents. It is built on top of the xml2 and httr libraries and provides a simple and consistent API for interacting with web pages.

One of the main advantages of using rvest is its simplicity and ease of use. It provides a number of functions that make it easy to extract information from web pages, even for those who are not familiar with web scraping. The html_nodes and html_node functions allow you to select elements from an HTML document using CSS selectors, similar to how you would select elements in JavaScript.

rvest also provides functions for interacting with forms, including html_form, set_values, and submit_form functions. These functions make it easy to navigate through forms and submit data to the server, which can be useful when scraping sites that require authentication or when interacting with dynamic web pages.

rvest also provides functions for parsing XML documents. It includes xml_nodes and xml_node functions, which also use CSS selectors to select elements from an XML document, as well as xml_attrs and xml_attr functions to extract attributes from elements.

Another advantage of rvest is that it provides a way to handle cookies, so you can keep the session alive while scraping a website, and also you can handle redirections with handle_redirects

Highlights


bypasshttp2tls-fingerprinthttp-fingerprintsyncasync

Example Use


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()
library("rvest")

# Rvest can use basic HTTP client to download remote HTML:
tree <- read_html("http://webscraping.fyi/lib/r/rvest")
# or read from string:
tree <- read_html('
<div class="products">
  <a href="/product/1">Cat Food</a>
  <a href="/product/2">Dog Food</a>
</div>
')

# to parse HTML trees with rvest we use r pipes (the %>% symbol) and html_element function:
# we can use css selectors:
print(tree %>% html_element(".products>a") %>% html_text())
# "[1] "\nCat Food\nDog Food\n""

# or XPath:
print(tree %>% html_element(xpath="//div[@class='products']/a") %>% html_text())
# "[1] "\nCat Food\nDog Food\n""

# Additionally rvest offers many quality of life functions:
# html_text2 - removes trailing and leading spaces and joins values
print(tree %>% html_element("div") %>% html_text2())
# "[1] "Cat Food Dog Food""

# html_attr - selects element's attribute:
print(tree %>% html_element("div") %>% html_attr('class'))
# "products"

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