Pangolinfo Amazon Data MCP

Run the official Pangolinfo Amazon Data MCP from Apify and receive structured, automation-ready results in a Dataset. This Actor is an MCP client adapter—not a duplicate REST scraper. It connects to the fixed official hosted endpoint, discovers the live tool schema, calls one selected read-only tool, and preserves both native MCP content blocks and parsed data for agents, workflows, scheduled runs, webhooks, and API integrations.

Learn about Amazon Data MCP, read the agent connection guide, or create an API key in the Pangolinfo Console.

What you can build

• Research Amazon products, keyword search results, reviews, seller catalogs, Best Sellers, and New Releases.
• Discover niches and categories, traverse category trees, and resolve category paths in batch.
• Monitor Google AI Overview and SERP visibility or retrieve keyword trends.
• Study Amazon Alexa shopping recommendations and conversational share of voice.
• Search local maps and WIPO design records, with an optional US patent-litigation chain, from agent workflows.
• Schedule MCP calls in Apify and export results to JSON, CSV, webhooks, cloud storage, or another Actor.

The 19 read-only business tools

Amazon core: search_amazon, get_amazon_product, get_amazon_delivery_time, get_amazon_reviews, list_seller_products, list_category_products, scrape_url.

Category and niche intelligence: filter_niches, filter_categories, search_categories, get_category_children, get_category_paths, list_bestsellers, list_new_releases.

Search intelligence: ai_search, keyword_trends, search_amazon_alexa.

Maps and public records: search_local_maps, wipo_search. When supported by the selected WIPO query, enableLitigation chains the related US litigation lookup into the same tool response.

The free pangolinfo_capabilities utility is also available for inspecting the server before a business data call; it is intentionally not counted among the 19 business tools.

Input

1. Add your Pangolinfo API key to the secret input. Apify encrypts the field, and this Actor never writes the key to its Dataset or logs.
2. Select an MCP tool.
3. Enter the tool arguments as a JSON object. Keep Verify the live tool schema enabled so the Actor checks tools/list before tools/call.

Start safely with:

{
  "toolName": "pangolinfo_capabilities",
  "toolArguments": {}
}

For a business call, choose a tool and use the argument names shown by its current live schema. Example Tasks published with this Actor provide tested inputs for common workflows such as product research, review analysis, niche discovery, AI Overview monitoring, and Alexa recommendation tracking.

Output and reliability

Each successful run writes one Dataset item containing toolName, calledAt, argumentKeys, attempts, protocol provenance, the live inputSchema, original MCP content, optional structuredContent, and normalized data. Argument values are not copied into provenance metadata. The Actor uses MCP Streamable HTTP, enforces a fixed Pangolinfo endpoint and an explicit allowlist, validates the selected live tool, caps the timeout at five minutes, performs only bounded retries for transient failures, and redacts the API key from error text.

Official resources

• Pangolinfo Amazon Data MCP product page
• MCP documentation for agents
• Open-source npm bridge
• GitHub repository
• Smithery server page

Related data services include the Amazon Scraper API, Amazon Niche Data API, AI Overview SERP API, and Amazon Alexa API.

This official integration is maintained by Pangolinfo and released under the MIT License. Pangolinfo API usage is governed by the terms and plan associated with your own account.