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node-fetchvscrul

MIT 207 10 8,659
220.2 million (month) Dec 28 2012 3.3.2(5 months ago)
102 1 15 MIT
Nov 09 2016 80.9 thousand (month) 1.4.2(1 year, 10 days ago)

node-fetch is a lightweight library that provides a fetch()-like API for making HTTP requests in Node.js. It is a light-weight implementation of the Fetch API, which is mostly compatible with the browser's version.

node-fetch is primarily known as almost identical package fetch() is included in web browsers so it shares the same use common API. It's great starting point for people coming from front-end environment.

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


popular
http2uses-curlasync

Example Use


const fetch = require('node-fetch');

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

// for concurrent scraping Promise.all can be used
const results = await Promise.all([
  fetch('http://httpbin.org/html'),
  fetch('http://httpbin.org/html'),
  fetch('http://httpbin.org/html'),
])

// POST requests
await fetch('http://httpbin.org/post', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ name: 'John Doe' }),
})

// Proxy use:
const agent = new https.Agent({
    rejectUnauthorized: false,
    proxy: {
        host: 'proxy.example.com',
        port: 8080
    }
});

await fetch('https://httpbin.org/ip', { agent })

// setting headers and cookies
const headers = new fetch.Headers();
headers.append('Cookie', 'myCookie=123');
headers.append('X-My-Header', 'myValue');

await fetch('https://httpbin.org/headers', { headers })
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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