Ad-hoc scrapers break in production — provide resilient, managed web-data ingestion

Ad-hoc scrapers break in production — provide resilient, managed web-data ingestion targets a $12.0B = 120,000 mid+large firms x $100K avg annual spend on web-data ingestion & tooling total addressable market with medium saturation and a year-over-year growth rate of 18% (web-data + data-as-a-service growth driven by ML/AI projects).

Key trends driving demand: Data-as-a-Service adoption -- businesses increasingly buy or pipeline web data as a service rather than DIY scraping.; Anti-bot arms race -- sites employ more JS/rendering and fingerprinting, increasing demand for headless and stealth capabilities.; ML-driven parsing -- LLMs and pattern models automate selector creation and schema mapping, reducing manual maintenance.; Shift to observability -- production data pipelines require SLAs, monitoring, and lineage for downstream ML and analytics..