Everything to Know to Start Web Scraping in Python Today
Complete introduction to web scraping using Python: http, parsing, AI, scaling and deployment.
Python httpx vs requests vs aiohttp - key differences
Python is full of great HTTP client libraries but which one is best for web scraping?
By far the most popular choices are httpx, requests and aiohttp - so here are the key differences:
requests- is the oldest and most mature library. It's easy to learn as there are many resources but it doesn't support asyncio or http2aiohttp- is asynchronous take onrequestsso it fully supports asyncio which can be a major speed boost for web scrapers. Aiohttp also offers a http server making it great for creating web scraping applications that can scrape data and deliver it.httpx- is the new de facto standard when it comes to HTTP clients in Python. It offers vitalHTTP2support and is fully compatible withasynciomaking it the best choice for web scraping.
How to Web Scrape with HTTPX and Python
For more on how to use HTTPX in web scraping see our hands-on introduction article
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Guide to Python requests POST method
Discover how to use Python's requests library for POST requests, including JSON, form data, and file uploads, along with response handling tips.
Guide to Python Requests Headers
Our guide to request headers for Python requests library. How to configure and what do they mean.
What is Parsing? From Raw Data to Insights
Learn about the fundamentals of parsing data, across formats like JSON, XML, HTML, and PDFs. Learn how to use Python parsers and AI models for efficient data extraction.