
Amazon Scraper API
io.github.ChocoData-comPublished by GitHub account ChocoData-comv0.1.4Updated Oct 24, 2026
Scrape Amazon products, search, and async batch ASIN lookups across 20 marketplaces
The publisher's own server: Scraper API
Overview
Lets an assistant fetch live Amazon product and search data across 20+ marketplaces through the Amazon Scraper API, with async batch ASIN lookups.
- What you can do
- Fetch a single product by ASIN or URL, returning price, rating, reviews, availability and buybox
- Run keyword searches with sort and pagination, one page per call
- Queue up to 1000 ASINs for asynchronous scraping and poll batch progress
- Return structured JSON with variants, images, bullets, categories and spec tables
- When to use it
- Useful when you want an assistant to look up current Amazon prices, ratings and stock, compare the same product across country marketplaces, or bulk-collect data for a catalog without building your own scraper.
- Requirements
- Runs locally over stdio, typically launched with npx, so Node.js is needed. Requires an Amazon Scraper API key supplied in the ASA_API_KEY environment variable; a free signup tier of 1000 requests is offered. Network access to the scraping service is required.
Installation
In SourceWeft
- Open Amazon Scraper API in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
amazon-scraper-api-mcp
[npm] [npm downloads] [license] [Glama MCP server]
MCP (Model Context Protocol) server for Amazon Scraper API. Plugs into Claude Desktop, Cursor, Claude Code, Continue, or any MCP-compatible AI client. Gives your model live Amazon product data as a first-class tool call.
What it unlocks
"Find me the highest-rated wireless earbuds under $150 on amazon.com, then check if they're cheaper on amazon.de"
That's one prompt. Without MCP, your AI can't fetch Amazon pages (Amazon blocks LLM browsing) and has zero recency for prices and stock. With this MCP server, it calls amazon_search + amazon_product directly and comes back with structured data from Amazon Scraper API.
Tools exposed
Each returns structured JSON: title, price, rating, reviews count, availability, buybox, variants, images, bullets, categories, spec tables.
Benchmark (live production, 2026-04)
Claude Desktop setup
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
Restart Claude Desktop. Tools appear under the MCP icon in the chat composer.
Cursor setup
Settings → MCP → Add server:
- Command:
npx -y amazon-scraper-api-mcp - Env:
ASA_API_KEY=asa_live_...
Claude Code setup
Example conversation (Claude Desktop)
You: What's the current price of AirPods Pro 3rd gen on amazon.com?
Claude: [calls
amazon_productwith ASIN B09HN3Q81F]The AirPods Pro 3rd gen are currently $199.00 on amazon.com, down from $249.00 (20% off). They have a 4.7-star rating from 58,214 reviews and are in stock, shipping from and sold by Amazon.com with Prime.
You: Compare that to the German Amazon listing.
Claude: [calls
amazon_productwithquery=B09HN3Q81F, domain=de]On amazon.de the same product is listed at 229.00 EUR. At today's exchange rate that's about $245, roughly 23% more than the US price. German listing ships from Amazon and qualifies for Prime delivery.
Why this vs. a generic "browse the web" MCP
Generic browser tools that try to load amazon.com typically get blocked (robot check) or serve a mobile-stripped page. This server routes every call through Amazon Scraper API, which:
- Detects and retries robot/CAPTCHA pages through escalating proxy tiers
- Returns structured JSON (typed fields), not HTML soup
- Supports 20+ marketplaces with country-matched residential IPs
- Handles batch (hundreds to thousands of ASINs) with webhook delivery
Error handling
Errors are surfaced to the model as tool errors whose message carries the HTTP status and the API's error code, for example HTTP 502: target_unreachable or HTTP 402: INSUFFICIENT_CREDITS. The model then decides whether to retry or abandon the sub-task. The server itself does not retry.
Common codes: INVALID_API_KEY, INSUFFICIENT_CREDITS, RATE_LIMITED, CONCURRENCY_LIMIT, product_not_found, target_unreachable (retry after 60s or more), extraction_failed, SERVICE_OVERLOADED. Full table: amazonscraperapi.com/docs/guides/errors.
Get an API key
app.amazonscraperapi.com. 1,000 free requests on signup, no credit card required. Enough to test every tool this MCP exposes plus a few dozen productive chats.
Links
- Website: https://www.amazonscraperapi.com/
- Docs: https://amazonscraperapi.com/docs
- Pricing: https://amazonscraperapi.com/pricing
- Node SDK: amazon-scraper-api-sdk · Python SDK: amazonscraperapi-sdk · Go SDK: github.com/ChocoData-com/amazon-scraper-api-sdk-go · CLI: amazon-scraper-api-cli
License
MIT
Source: README.md at commit fbc13ae
Tools
0Version history
1- v0.1.4LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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