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requestsvsfaraday

Apache 2.0 271 30 51,138
408.5 million (month) Feb 14 2011 2.31.0(10 months ago)
5,646 7 37 MIT
2.9.0(2 months ago) Dec 19 2009 4.5 million (month)

The requests package is a popular library for making HTTP requests in Python. It provides a simple, easy-to-use API for sending HTTP/1.1 requests, and it abstracts away many of the low-level details of working with HTTP. One of the key features of requests is its simple API. You can send a GET request with a single line of code:

import requests
response = requests.get('https://webscraping.fyi/lib/requests/')
requests makes it easy to send data along with your requests, including JSON data and files. It also automatically handles redirects and cookies, and it can handle both basic and digest authentication. Additionally, it's also providing powerful functionality for handling exceptions, managing timeouts and session, also handling a wide range of well-known content-encoding types. One thing to keep in mind is that requests is a synchronous library, which means that your program will block (stop execution) while waiting for a response. In some situations, this may not be desirable, and you may want to use an asynchronous library like httpx or aiohttp. You can install requests package via pip package manager:
pip install requests
requests is a very popular library and has a large and active community, which means that there are many third-party libraries that build on top of it, and it has a wide range of usage.

Faraday is a Ruby gem that provides a simple and flexible interface for making HTTP requests. It allows you to create a Faraday connection object, which you can use to send requests and receive responses.

Faraday abstracts away the details of the underlying HTTP client library, so you can use it with different libraries such as Net::HTTP, HTTPClient, typhoeus and others.

Since Faraday can adapt many other HTTP clients it's very popular choice in web scraping.

Highlights


syncease-of-useno-http2no-asyncpopular

Example Use


import requests

# get request:
response = requests.get("http://webscraping.fyi/")
response.status_code
200
response.text
"text"
response.content
b"bytes"

# requests can automatically convert json responses to Python dictionaries:
response = requests.get("http://httpbin.org/json")
print(response.json())
{'slideshow': {'author': 'Yours Truly', 'date': 'date of publication', 'slides': [{'title': 'Wake up to WonderWidgets!', 'type': 'all'}, {'items': ['Why <em>WonderWidgets</em> are great', 'Who <em>buys</em> WonderWidgets'], 'title': 'Overview', 'type': 'all'}], 'title': 'Sample Slide Show'}}

# for POST request it can ingest Python's dictionaries as JSON:
response = requests.post("http://httpbin.org/post", json={"query": "hello world"})
# or form data:
response = requests.post("http://httpbin.org/post", data={"query": "hello world"})

# Session object can be used to automatically keep track of cookies and set defaults:
from requests import Session
s = Session()
s.headers = {"User-Agent": "webscraping.fyi"}
s.get('http://httpbin.org/cookies/set/foo/bar')
print(s.cookies['foo'])
'bar'
print(s.get('http://httpbin.org/cookies').json())
{'cookies': {'foo': 'bar'}}
# GET requests
response = Faraday.get('http://httpbingo.org')
put response.status
put response.headers
put response.body

# or use a persistent client session:
conn = Faraday.new(
  url: 'http://httpbin.org/get',
  params: {param: '1'},
  headers: {'Content-Type' => 'application/json'}
)

# POST requests
response = conn.post('/post') do |req|
  req.params['limit'] = 100
  req.body = {query: 'chunky bacon'}.to_json
end

Alternatives / Similar