Most web scraping tutorials start with BeautifulSoup or Cheerio. But many popular websites already return structured JSON — you just need to know how to ask.
1. Reddit
Append .json to any URL:
https://www.reddit.com/r/webdev.json
https://www.reddit.com/r/python/top.json?t=week
2. YouTube (Innertube API)
fetch("https://www.youtube.com/youtubei/v1/search", {
method: "POST",
body: JSON.stringify({
context: { client: { clientName: "WEB", clientVersion: "2.20240101" } },
query: "python tutorial"
})
});
3. Hacker News (Algolia)
https://hn.algolia.com/api/v1/search?query=python&tags=story
4. Wikipedia
https://en.wikipedia.org/w/api.php?action=query&list=search&srsearch=machine+learning&format=json
5. GitHub
https://api.github.com/search/repositories?q=web+scraping&sort=stars
6. npm Registry
https://registry.npmjs.org/-/v1/search?text=scraping&size=10
7. Stack Overflow
https://api.stackexchange.com/2.3/search?order=desc&sort=votes&intitle=web+scraping&site=stackoverflow
Why This Matters
| Approach | Speed | Stability | Data Quality |
|---|---|---|---|
| HTML Parsing | Slow (render JS) | Breaks on redesign | Messy, needs cleaning |
| JSON API | Fast (direct) | Rarely breaks | Clean, structured |
After building 77 scrapers, I use HTML parsing as a last resort, not the default.
More Resources
Need data from any website? $20 flat rate. JSON/CSV/Excel. 24-hour delivery. Email: Spinov001@gmail.com | Hire me →
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