# Turn any company website into structured B2B data (one API call) > Source: > Published: 2026-06-13 00:08:28+00:00 If you've ever needed to go from a company's website to clean, structured data — its name, sector, a short description, social links, a contact email, and the technologies it runs on — you know the options aren't great: - **Build your own scraper.** Brittle, and every site is different. You'll spend more time maintaining selectors than using the data. - **Pay a heavyweight data provider.** Expensive, and the data is often a stale snapshot from months ago. - **Paste HTML into an LLM and pray.** Sometimes you get valid JSON. Sometimes you get a hallucinated CEO email that doesn't exist. I kept hitting this wall while working with lists of company domains, so I built a small API that does one thing well: **send a company URL, get back clean JSON.** ## The two rules that shaped it **1. It reads the live site at request time.** Not a database snapshot from last quarter. If a company rebranded yesterday, you get today's version. **2. It never guesses.** This was the hardest constraint to enforce with an LLM in the pipeline. Missing fields come back as `null` — never invented. If there's no contact email on the site, you get `"email": null` , not a plausible-looking fake you'd import straight into your CRM. ## What a call looks like And the response: ## How it works under the hood A few design decisions, for the curious: - **Two-pass tech detection.** A fast pattern-matching pass first (think Wappalyzer-style fingerprints), then an LLM enrichment pass only for what patterns can't catch. Cheaper and faster than going full-LLM on everything. - **Hard content trimming before the LLM.** Page content is capped before any model call. This keeps latency and cost predictable instead of exploding on heavy JS-rendered sites. - **Caching with a 14-day TTL.** Repeat lookups on the same domain return in ~200 ms instead of re-scraping. The `cached` field in the response tells you which path you hit. - **Strict schema validation.** Every response is validated against a strict schema (Pydantic v2) before it leaves the API. Either the JSON conforms, or you get a proper error — never half-broken output. ## Use cases I built it for - **Lead enrichment:** turn a list of prospect domains into CRM-ready records. - **Tech-based targeting:** filter prospects by their stack ("show me companies running Shopify"). - **Data hygiene:** verify and refresh company records against the live web instead of stale databases. ## Try it There's a free tier (100 requests/month), enough to test it against your own data: 👉 [AI Live Company Enrichment & Tech Detector on RapidAPI](https://rapidapi.com/coinduciel143/api/ai-live-company-enrichment-tech-detector) I'd genuinely love feedback from other builders — on the positioning, the pricing, and especially: **what field would you want it to extract next?** Drop a comment below.