API comparison

Canopy API vs. Amazon scraping APIs

ScraperAPI, Bright Data, and Oxylabs are generic web-scraping platforms with Amazon endpoints bolted on. Here's how a purpose-built Amazon API compares.

Side by side

Canopy API vs. three generic scraping APIs

All four can return Amazon product data. The difference is whether Amazon is the product, or one target among dozens supported by a general-purpose scraping platform.

Canopy APIScraperAPIBright DataOxylabs
Built for AmazonYes — purpose-built Amazon product APINo — Amazon is one of many Structured Data EndpointsPartial — dedicated Amazon scrapers inside a general scraping platformNo — Amazon is one target among 200+ prebuilt scraper endpoints
Starting price$0.01/request$49/month (Hobby, 100K credits; Amazon requests cost 5x standard credits)$1.50 per 1,000 records; $499/mo Scale plan for 384K records$49/month (Micro); Amazon results ~$0.25–$0.50 per 1,000
Free trial100 requests/month, ongoing5,000 free credits, one-time5,000 free credits/month (~$7.50 value)Up to 2,000 results, about a 1-week trial
OutputStructured JSONStructured JSON or CSVStructured JSON, NDJSON, or CSVStructured JSON or raw HTML, your choice
InterfacesREST, GraphQL, MCP server, LLM skillsREST onlyREST onlyREST only (agent-framework integrations, no native MCP)

Pricing and features shown as of July 2026, based on each provider's publicly published plans. Per-1,000-result cost figures for ScraperAPI are third-party estimates, not stated verbatim on their pricing page. Confirm current numbers on each provider's site before deciding.

Purpose-built vs. general-purpose

Amazon as the product, not a target

ScraperAPI, Bright Data, and Oxylabs are, at their core, proxy and scraping infrastructure companies. Amazon support shows up as a dedicated endpoint, a pre-built parser, or a slice of a much larger catalog of supported sites — useful if you're scraping Amazon alongside Google, Walmart, or a long tail of other targets through one vendor.

Canopy API is built around Amazon specifically: a schema modeled on Amazon's own product structure, endpoints for the data types Amazon shoppers and sellers actually care about, and interfaces — REST, GraphQL, MCP, LLM skills — chosen for how developers build on Amazon data today, not retrofitted onto a generic scraping product.

Why teams switch

Where a purpose-built API fits best

Built for Amazon, not bolted on
Amazon is Canopy’s only focus, not one of dozens of supported sites behind a generic scraping platform.
GraphQL and MCP, not just REST
None of the three platforms studied offer GraphQL, and none publish a native MCP server for AI-agent tool calls.
No special-case pricing for Amazon
ScraperAPI charges 5x credits for Amazon requests specifically. Canopy charges the same flat rate for every request.
A real, ongoing free tier
100 free requests every month, not a one-time free-credit allotment that runs out.
Which one fits

Depends on how many sites you're pulling from

Choose Canopy API if…

  • Amazon is your only, or primary, data source
  • You want GraphQL or native MCP/agent support
  • You want one flat per-request price with no special-case multipliers for Amazon
  • You want a ready-made Amazon schema instead of parsing raw HTML yourself

Choose a generic scraping API if…

  • You need to scrape many different sites beyond Amazon through one vendor
  • You need raw HTML output for a custom parsing pipeline
  • You need general-purpose proxy infrastructure for scraping outside of Amazon too
FAQ

Frequently asked questions

What’s the difference between Canopy API and generic scraping APIs like ScraperAPI, Bright Data, or Oxylabs?

ScraperAPI, Bright Data, and Oxylabs are general-purpose web-scraping platforms — Amazon is one of many sites they support, alongside Google, Walmart, eBay, and others. Canopy API is purpose-built for Amazon only, with a schema and endpoints designed specifically around Amazon product data rather than generic page scraping.

Do ScraperAPI, Bright Data, or Oxylabs support GraphQL?

No — all three offer REST APIs only. None publish a native MCP server for AI-agent tool calls, though Oxylabs documents integrations with agent frameworks like LangChain and CrewAI. Canopy API offers REST, GraphQL, a native MCP server, and LLM skills.

Is Amazon data more expensive on generic scraping APIs?

It can be. ScraperAPI, for example, charges 5x its standard credit rate for Amazon and other e-commerce requests specifically, rather than a flat rate. Canopy API charges the same flat per-request rate regardless of which fields or endpoints you use.

Which is best for scraping multiple sites, not just Amazon?

If Amazon is one of several sites you need data from, a generic platform like ScraperAPI, Bright Data, or Oxylabs consolidates that under one vendor and one proxy infrastructure. If Amazon is your primary or only data source, a purpose-built API like Canopy is a more direct fit — you get an Amazon-specific schema instead of parsing raw HTML or a generic structured response.

Is Canopy API’s free tier ongoing?

Yes. Every account gets 100 free requests every month, on an ongoing basis — not a one-time credit allotment like the free trials offered by ScraperAPI, Bright Data, and Oxylabs.

Try an API built for Amazon, not bolted on

Get an API key and start pulling live Amazon data over REST, GraphQL, or MCP — no special pricing tier for Amazon-specific fields.