FineData is an AI-native scraping API based in the United States. The platform extracts structured data from any website with LLM-based data extraction, automatic anti-bot bypass (defeating Cloudflare, DataDome and PerimeterX), CAPTCHA solving and native Model Context Protocol (MCP) support for AI agents.
Network and pool size
FineData routes traffic across rotating residential and datacenter proxies covering a global footprint. The pool is paired with an AI extraction layer that handles LLM-based parsing and anti-bot bypass automatically. The MCP server for AI agents is the headline differentiator.
Pricing and plans
Pricing is per-API-call on the FineData API rather than per-gigabyte on the underlying proxy network, with metered bands starting low and scaling by volume. Plans span pay-as-you-go and monthly commitments with tiered concurrency. The value proposition is the AI extraction layer.
Where FineData fits
FineData is positioned for AI-driven structured data extraction and anti-bot bypass. It is well suited to AI agent workflows that need native MCP support and to buyers who want LLM-based parsing on top of a managed scraping API rather than building their own extraction pipeline.
Reputation and support
Independent review data is still developing for a newer platform. User feedback commonly highlights the AI-native scraping API positioning and the built-in anti-bot bypass and MCP support. As with any newer entrant, validate the LLM extraction accuracy on your specific destinations with a paid test.
What to watch for
LLM-based extraction accuracy varies by destination schema; confirm the parser handles the specific structure you need. API-call pricing rewards efficient request design; heavy extraction workloads can climb quickly on small testing budgets.
