Web Data API

5/1288 → 9/802; +0.73 percentage points of formation share.

The companies in this batch split cleanly along a fault line: some, like expand.ai and Riveter, sell the act of turning arbitrary websites into structured APIs, while others, like Fiber AI and Reprompt, sell the resulting dataset itself, already scraped, structured, and tied to a vertical use case like sales, recruiting, or mapping. That split reflects a maturing of the category, moving from generic scraping infrastructure toward pre-packaged data products that skip the extraction step entirely for a specific buyer. Reworkd and Webhound sit in between, framing extraction as an agentic research task rather than a simple API call, which suggests the harder technical problem has shifted from parsing HTML to giving an agent judgment over long, messy research jobs. This formation's growth at 2.89x looks modest next to the statistically related Search and Big Data formations, growing at 3.42x and 3.60x respectively, which hints that the demand pull is coming more from what's downstream of structured web data than from web-data extraction itself. The timing tracks the arrival of capable function-calling and tool-use LLMs in 2023, which made it practical for an agent to decide what to scrape, how to structure it, and hand back typed output without a human writing custom parsers for every site. Companies like bluedoor and Structured Labs, framing themselves explicitly around making the web legible to AIs rather than humans, show the category increasingly building for machine consumers rather than for developers browsing documentation.

No comparable outside activity is connected yet.

These share a word with “Web Data API” but are tracked as separate categories. The real overlap below is the actual share of Web Data API’s companies also found in that category — not a guess.