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curl-impersonatevscrul

MIT 65 1 3,751
Feb 23 2022 v0.6.1(7 months ago)
106 1 15 MIT
Nov 09 2016 30.7 thousand (month) 1.5.0(6 months ago)

Curl-impersonate is a special build of libcurl and cURL HTTP client that impersonates the four major browsers: - Google Chrome - Microsoft Edge - Safari - Firefox Curl-impersonate achieves this by patching TLS and HTTP fingerprints to be identical to that of one of these real browsers.

Unlike other HTTP clients curl-impersonate can bypass TSL and HTTP fingerprinting and detection techniques though it does not implement anything for Javascript fingerprint or bypass.

crul is a R library for sending HTTP requests and web scraping. It is designed to be simple and easy to use, while still providing powerful functionality for working with HTTP requests and scraping web pages.

One of the main features of crul is its intuitive and easy-to-use syntax for sending HTTP requests. It allows you to easily specify the HTTP method, headers, and body of a request, and also provides a simple way to handle the response.

crul also has the ability to handle different types of requests and responses, including GET, POST, PUT, DELETE, and PATCH. It also support for handling redirects, cookies, and authentication.

Another feature of crul is its support for web scraping. The library provides a simple and efficient way to extract data from web pages, using a syntax similar to that of the XML and httr libraries. It also allows to easily filter the extracted data based on a specific criteria.

crul also supports parallel scraping, which allows to make multiple requests at the same time, thus speeding up the scraping process.

In addition to these features, crul has a good compatibility with other R packages such as tidyverse and purrr which facilitates the manipulation of the data obtained after scraping.

Highlights


bypasshttp2tls-fingerprinthttp-fingerprintlow-level
http2uses-curlasync

Example Use


curl-impersonate installs itself under `curl_` terminal commands like `curl_chrome116`:
$ curl_chrome116 https://www.wikipedia.org
To use it in HTTP client libraries that use `libcurl` replace curl path with one of these. To use it in python directly see curl-cffi Python package
library(crul)

# Sending a GET request to a website
response <- HttpClient$new("https://www.example.com")$get()
# Sending a POST request to a website
request_body <- list(param1 = "value1", param2 = "value2")
response <- HttpClient$new("https://www.example.com")$post(body = request_body)

# Extracting the status code and body of the response
status_code <- response$status_code()
body <- response$body()

# crul also allows easy asynchronous requests:
urls <- c("https://www.example1.com", "https://www.example2.com", "https://www.example3.com")
# Creating a list of request objects from urls
requests <- lapply(urls, function(url) {
  HttpClient$new(url)$get()
})

# Sending the requests asynchronously
responses <- async(requests)

# Extracting the status code and body of the responses
status_codes <- lapply(responses, function(response) response$status_code())
bodies <- lapply(responses, function(response) response$body())

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