Avoid platform lock‑in: multi‑target scraping platform for escape routes

Many firms—SaaS companies, data teams at e‑commerce and fintech firms, and integrators working with marketplaces—are increasingly exposed to API monetization and lock‑in: platforms gate or charge for access, raising costs and creating single‑point failures for downstream products. The practical problem is losing control of critical data flows and escalating bills; across an addressable universe of roughly 3,000,000 companies with an illustrative $6,000 ACV this market is estimated at $18.0B, and our assessment scores market attractiveness 92/100 with revenue potential 88/100. You could build a multi‑target scraping platform that treats site and API change as the norm: automated discovery and mapping of “escape routes” from proprietary APIs, LLM‑driven parser synthesis and self‑repair, serverless orchestration of headless browsers for scalable execution, and enterprise features like rate‑limit shaping, provenance metadata, and legal-compliance tooling. Technical differentiation relies on combining rapid parser generation (reducing break‑fix latency from days to hours), scalable execution (serverless browser pools to control marginal cost), and a unified control plane where customers can route requests through multiple targets transparently. This market is attractive now because three forces converge—platforms monetizing APIs, maturation of LLMs that can synthesize and repair scrapers, and cheaper serverless/headless automation—making a practical product feasible and timely rather than speculative. The main strengths are clear unit economics and a defensible product moat built from automation and enterprise controls, but challenges are real: legal/ethical risk, an arms race with anti‑bot defenses, and ongoing maintenance costs that force continuous investment in model and infra robustness.