UnifAPI vs ScrapingBee
How UnifAPI compares to ScrapingBee for AI agents that need web data.
TL;DR. ScrapingBee is a web-scraping API — headless browser, proxies, JS rendering, behind one HTTP call. UnifAPI is an agent gateway that includes scrape plus social, SERP, and news — one key, one bill, one normalized shape, and an MCP server.
Side-by-side
| UnifAPI | ScrapingBee | |
|---|---|---|
| Scope | Social + SERP + scrape + news | Scrape (HTML / JS / screenshot) |
| URL → markdown | ✅ unifapi.com/apis/url-to-markdown | partial (raw HTML; you convert) |
| URL → structured (LLM extraction) | ✅ unifapi.com/apis/url-to-data | partial |
| Twitter / YouTube / TikTok / Reddit | ✅ first-class APIs | ❌ (you’d build them on top of scrape) |
| Google SERP / Bing / Trends | ✅ | ✅ (Google SERP endpoint) |
| News search | ✅ | ❌ |
| MCP server | ✅ hosted | ❌ |
| Pricing | Pay-per-call credits, no subscription | Monthly subscription tiers |
When ScrapingBee is the right call
- You only need HTML / JS rendering for arbitrary URLs
- You want to keep your own parsers and just need a headless browser
- The subscription tier model fits
When UnifAPI is the right call
- The agent needs scrape plus social, search, or news
- You want LLM-ready markdown / structured JSON out of the box, not raw HTML
- You want pay-per-call billing
- You want a single MCP surface for Claude / Cursor / Codex
Coexistence
Some teams keep ScrapingBee for legacy HTML pipelines and adopt UnifAPI for everything new on the agent side. The two don’t conflict, but most new builds collapse to UnifAPI to avoid maintaining multiple vendor accounts.