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A modern API for Amazon Product Data
Canopy APIv2.0Version updatev2.0Jul 17, 2026Canopy API v2: Faster Amazon data, lower high-volume pricing, and MCP support
Canopy API v2 is live. This release is focused on three things: speed, reliability, and making Amazon product data dead simple to plug into AI agents.
- MCP server for AI agents. Canopy now ships a native MCP integration alongside our GraphQL and REST APIs. Connect Claude, Cursor, or any MCP-compatible agent to live Amazon product data, search results, pricing, and seller information with a single config entry. No wrapper code, no glue scripts.
- Three ways to query, one data layer. GraphQL when you want precise, nested queries in a single request. REST with a full OpenAPI 3.1 spec when you want simple, predictable endpoints. MCP when the consumer is an agent instead of an app. All three run on the same infrastructure and return the same normalized product data.
- Performance improvements. We rearchitected request batching and caching across our edge network. Typical product lookups now return in 200ms at p95, and multi-product queries are dramatically faster thanks to smarter request handling.
- Data reliability improvements. New retry and validation layers mean fewer empty fields, fewer stale prices, and consistent product schemas across marketplaces. If we return a field, you can trust it.
- Lower prices at volume. High-volume tiers got a real price cut. Requests beyond 20K per month now cost up to 50% less, and usage-based billing means you only pay for what you actually pull.
Whether you're building price trackers, market research tools, or AI shopping agents, v2 is the fastest way to get structured Amazon data into your product. Start at canopyapi.co.
Keywords.am
ScrapeOps | Scraper Builder
DiffScout
ShoppingScraper
Overview
The Canopy API is a modern tool made for obtaining real-time data from Amazon.com. This API is designed to provide users with product, pricing, reviews, and sales estimates for any product found on Amazon.com.
Ideal for those needing to fetch and process data for Amazon, it is known for its intuitive and convenient APIs. Three types of APIs are offered - REST, GraphQL, and MCP, giving users the freedom to choose the one that integrates perfectly with their workflow or product.
With Canopy API, users can retrieve important product data such as the title, description, pricing, sales, and stock estimations. It also allows users to easily gather all reviews data for further analysis to optimize Amazon listings.
Furthermore, it provides a feature to retrieve product search results for any given keywords, enabling users to process search result rankings rapidly.
For those who want to use the API extensively, the service can scale according to their requirements, with the cost of each API request dropping as usage increases.
Notably, the Canopy API strives for easy integration, offering detailed documentation and open-source examples to streamline the process. Thus, this tool is valuable to anyone looking for an efficient and reliable way to extract and process Amazon.com data.
Key Features
- Amazon Product Data Api
- Amazon Search Results Api
- Amazon Deals Api
- Amazon Category Data Api
- Amazon Reviews Api
- Amazon Books Api
- Amazon Bestsellers Api
Releases
Canopy API v2 is live. This release is focused on three things: speed, reliability, and making Amazon product data dead simple to plug into AI agents.
- MCP server for AI agents. Canopy now ships a native MCP integration alongside our GraphQL and REST APIs. Connect Claude, Cursor, or any MCP-compatible agent to live Amazon product data, search results, pricing, and seller information with a single config entry. No wrapper code, no glue scripts.
- Three ways to query, one data layer. GraphQL when you want precise, nested queries in a single request. REST with a full OpenAPI 3.1 spec when you want simple, predictable endpoints. MCP when the consumer is an agent instead of an app. All three run on the same infrastructure and return the same normalized product data.
- Performance improvements. We rearchitected request batching and caching across our edge network. Typical product lookups now return in 200ms at p95, and multi-product queries are dramatically faster thanks to smarter request handling.
- Data reliability improvements. New retry and validation layers mean fewer empty fields, fewer stale prices, and consistent product schemas across marketplaces. If we return a field, you can trust it.
- Lower prices at volume. High-volume tiers got a real price cut. Requests beyond 20K per month now cost up to 50% less, and usage-based billing means you only pay for what you actually pull.
Whether you're building price trackers, market research tools, or AI shopping agents, v2 is the fastest way to get structured Amazon data into your product. Start at canopyapi.co.
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