Crawl MCP
One endpoint.
Any Amazon URL.
Agent-ready output.
Your agent asks a product question — "what is it, what does it cost, is it in stock, what do buyers say?" — and gets the answer in a structure it can use. One call. Median 280ms. No scraper to babysit.
Built for agents
Built for how agents actually work — one question, one answer.
Focused, not firehose
Your agent asks a specific question and gets a specific answer. No HTML soup, no token-burning page dumps — just the fields that matter.
Built for Amazon's defenses
Stealth mode, Firefox-backed rendering, adaptive 2–15s backoff, CAPTCHA-aware retries, and auto-fallback across direct URL → JS → page hooks.
Self-healing extraction
Multi-selector fallbacks on every field. When Amazon shuffles the DOM, the template tries the next selector instead of returning empty.
Agent-ready output
Clean Markdown, structured JSON, or a hybrid — whatever format your model handles best. No post-processing layer required.
Respectful by default
Single-stream crawls, adaptive delays, retry-on-captcha. Designed to coexist with Amazon, not fight it.
Spot-Check Mode
Lightweight lookup grabs title, brand, price, rating, review count, availability, description, and ASIN — perfect for fast verification loops.
Spot-Check Mode
Eight fields. One call. 280 milliseconds.
The fast lookup for confirmation loops — when the agent just needs to confirm "is this still the right product at the right price?" Eight fields. Median 280ms. One round-trip.
What teams build with it
From repricing to RAG — one endpoint, many workflows.
Repricing & competitive monitoring
Agents that watch buy-box prices and flag drift the moment it happens.
Catalog enrichment
Fill in missing fields on your own product database from live Amazon listings.
Buyer-side research agents
"Find me the best-reviewed option under $50 with Prime shipping."
Brand protection
Track listing accuracy, A+ content compliance, and seller authorization.
Sourcing & arbitrage
Pull pricing, BSR, and variant data across SKUs in a single pass.
RAG over commerce
Feed clean Amazon data into a vector store the agent can query naturally.
The bottom line
Crawl fetches the page. Your agent ships the answer.
Your agent asks a product question and gets a structured answer back — no DOM wrangling, no retry loops to maintain, no anti-bot game of whack-a-mole.