Extract clean, structured product data from any URL using Schema.org standards and AI extraction. Built for developers who need reliable product information parsing without manual data cleaning.
io.github.laundromatic/shopgraph
https://shopgraph.dev/mcp
HTTP
No auth required
How models use it and what it is built for.
Extract clean, structured product data from any URL using Schema.org standards and AI extraction. Built for developers who need reliable product information parsing without manual data cleaning.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for Laundromatic Shopgraph.
Paste any of these into Agent Studio after connecting Laundromatic Shopgraph.
Common questions about connecting and running Laundromatic Shopgraph.
What data does ShopGraph extract from product URLs?
ShopGraph extracts structured product data including pricing, descriptions, images, and other metadata using Schema.org standards combined with AI extraction. It works on any URL with product information.
How many API calls do I get and what's the pricing?
You get 200 free calls per month. Check the ShopGraph documentation or dashboard for paid tier pricing and higher usage limits.
How do I authenticate with the ShopGraph MCP server?
Install via `npx shopgraph@1.0.1` and connect to the hosted endpoint at https://shopgraph.dev/mcp. Refer to the setup documentation for API key configuration if required.
Does ShopGraph work with all e-commerce sites?
ShopGraph is designed to extract product data from any URL using Schema.org standards and AI extraction. Success may vary depending on page structure, but it handles most modern e-commerce platforms.
What's the difference between Schema.org extraction and AI extraction?
Schema.org extraction pulls structured metadata already embedded in the page markup, while AI extraction infers product data from page content when Schema.org data is missing or incomplete. ShopGraph uses both methods for comprehensive results.
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