Parsing Google SERPs eats 20-50% of dev time on any AI agent that touches the web. HasData ships it back as ready JSON — your agent reads fields, not HTML.
Web-scraping infra explicitly built for AI agents. Their own homepage is the demo: a query for "Coffee" returns structured JSON with organic results, knowledge graph, perspectives from YouTube/Reddit/Instagram/X, related searches, short videos — all parsed into named fields. Skip the CSS selectors, the Cloudflare 403s, the random div-tag drift.
The mental shift: scraping moves from a parsing problem to a contract problem. The agent reads an API response, not a webpage. Fields stable, schemas predictable.
Free tier exists; production is paid. The math for early-stage teams is straightforward: build your own scraping infra (3-6 months + ongoing maintenance) vs API per call. The second wins until traffic scales past a vendor.
https://hasdata.com/
Web-scraping infra explicitly built for AI agents. Their own homepage is the demo: a query for "Coffee" returns structured JSON with organic results, knowledge graph, perspectives from YouTube/Reddit/Instagram/X, related searches, short videos — all parsed into named fields. Skip the CSS selectors, the Cloudflare 403s, the random div-tag drift.
The mental shift: scraping moves from a parsing problem to a contract problem. The agent reads an API response, not a webpage. Fields stable, schemas predictable.
Free tier exists; production is paid. The math for early-stage teams is straightforward: build your own scraping infra (3-6 months + ongoing maintenance) vs API per call. The second wins until traffic scales past a vendor.
https://hasdata.com/