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 on requests so 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 vital HTTP2 support and is fully compatible with asyncio making it the best choice for web scraping.For more on how to use HTTPX in web scraping see our hands-on introduction article
In this article, we’ll take a look at SEO web scraping, what it is and how to use it for better SEO keyword optimization. We’ll also create an SEO keyword scraper that scrapes Google search rankings and suggested keywords.
In this article, we’ll take a look at the User-Agent header, what it is and how to use it in web scraping. We'll also generate and rotate user agents to avoid web scraping blocking.
In this example web scraping project we'll be taking a look at monitoring E-Commerce trends using Python, web scraping and data visualization tools.
