10 Developer Tools I Use Every Day After Building 77 Web Scrapers

After publishing 600+ articles and building 77 web scrapers, I have a clear picture of which tools and APIs actually get used day after day. Here are the ones I keep coming back to. 1. httpx (Python HTTP Client) Forget requests. httpx supports async, HTTP/2, and has a cleaner API: import httpx # Sync resp = httpx . get ( " https://api.github.com/repos/encode/httpx " ) print ( resp . json ()[ " stargazers_count " ]) # Async async with httpx . AsyncClient () as client : resp = await client . get ( " https://api.github.com/repos/encode/httpx " ) Why I use it: Every scraper I build starts with httpx. It handles redirects, cookies, and timeouts better than requests. 2. jq (Command-Line JSON Processor) The single most useful tool for working with API responses: # Pretty print curl -s https://api.github.com/users/torvalds | jq . # Extract specific fields curl -s https://api.github.com/users/torvalds | jq '{name, followers, repos: .public_repos}' # Filter arrays curl -s https://api.github.com/