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psf/requests

🔥 Hot53,999PythonAudience · developerComplexity · 2/5ActiveLicenseSetup · easy

TLDR

A Python library that makes it simple to send HTTP requests to web servers and APIs with just one line of code, handling all the tedious details automatically.

Mindmap

mindmap
  root((Requests))
    What it does
      Fetch web pages
      Call REST APIs
      Upload files
      Stream downloads
    Key features
      One-line requests
      Auto SSL verify
      Cookie sessions
      Redirect handling
    Use cases
      Web scraping
      API integration
      File downloads
      Web automation
    Tech stack
      Python 3.10+
      Pure Python
      Optional SOCKS

Things people build with this

USE CASE 1

Call a REST API from your Python script to fetch data or trigger actions on a remote service.

USE CASE 2

Download files from the web without writing boilerplate code for URL handling and decompression.

USE CASE 3

Scrape web pages by fetching HTML and parsing it to extract information.

USE CASE 4

Automate web interactions like logging in, submitting forms, and managing sessions across multiple requests.

Tech stack

PythonHTTPREST APIs

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

Requests is a Python library for making HTTP requests, which are the messages your code sends when it needs to talk to a web server, fetch a web page, call an API, or submit data to a remote service. Python has a built-in module for this called urllib, but it is notoriously verbose and awkward to use. Requests was created to make the same tasks simple and readable, following the philosophy that the code should express intent clearly without boilerplate. With Requests, fetching a web page or calling an API takes just one line. It automatically handles things that would otherwise require manual work: adding query parameters to URLs, encoding POST data, managing cookies across multiple requests in a session, verifying SSL certificates, handling redirects, and decompressing compressed responses. It also makes it easy to set timeouts so your program does not hang waiting forever, upload files in multipart format, stream large downloads without loading everything into memory at once, and use authentication schemes like basic auth or digest auth. You would use Requests any time your Python program needs to communicate with a web service, whether that is calling a REST API, scraping web pages, downloading files, or automating web interactions. It is one of the most downloaded packages in the entire Python ecosystem, used in millions of projects as the standard way to do HTTP in Python. The library requires Python 3.10 or newer and is installed via pip. The tech stack is pure Python with no compiled dependencies for the core functionality, though optional packages can add SOCKS proxy support.

Copy-paste prompts

Prompt 1
Show me how to use Requests to fetch JSON from a REST API and parse the response in Python.
Prompt 2
How do I upload a file using Requests with multipart form data?
Prompt 3
Write a Python script using Requests that logs into a website, maintains a session, and scrapes data from a protected page.
Prompt 4
How do I set a timeout and handle retries when making HTTP requests with Requests?
Prompt 5
Show me how to stream a large file download with Requests without loading it all into memory.
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.