Ecommerce Store Discovery

Temukan toko Shopify, WooCommerce, dan BigCommerce berdasarkan produk, yang dikonfirmasi di setiap beranda.

Dokumentasi

Ecommerce Store Discovery MCP Server

An MCP server for the Mamba Labs Ecommerce Store Discovery actor on Apify. Give it product keywords and a platform. Each run finds stores through Google, confirms each one on its own homepage, and returns one row per store.

What it does

Searches Google with each keyword plus a footprint the platform prints on its stores, and drops marketplaces, social networks, and reference sites.
Reads each candidate's robots.txt and homepage, and returns the store only when the homepage carries the platform's marks, with the evidence and a confidence.
Per store: payment methods, subscription apps, currencies, Shopify product count, Tranco rank band and trend, contact emails, phone, and Instagram, Facebook, and TikTok links from the homepage.
Unconfirmed sites are skipped and not charged.

All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

{
  "mcpServers": {
    "mamba-ecommerce-store-discovery": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-ecommerce-store-discovery"
      ],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Restart the client. The discover_ecommerce_stores tool appears.

Prerequisites

Node.js 18 or newer.
An Apify API token from console.apify.com/account/integrations, set as APIFY_TOKEN. The server lists its tool without a token; a call needs one.

Example prompts

"Find 30 Shopify stores that sell coffee beans and show their product counts and contact emails."
"Which WooCommerce stores in the UK sell dog treats?"
"List BigCommerce stores selling auto parts, with their payment providers."

Tool

discover_ecommerce_stores. One tool. Example arguments:

{
  "keywords": ["coffee beans"],
  "platform": "shopify",
  "max_stores": "25"
}

Inputs

Every buyer facing input of the actor, unchanged. Omitted inputs take the actor's own defaults. Numbers and booleans are sent as strings.

Input	Type	Description
`keywords`	array	What the stores sell. Required
`platform`	string	shopify (default), woocommerce, bigcommerce, or any
`max_stores`	string	Confirmed stores to return, up to 500. Default 25
`country`	string	Google market. Default US
`location_term`	string	Word added to every search
`language`	string	Google interface language. Default en
`include_product_count`	string	true or false. Default true
`include_traffic_rank`	string	true or false. Default true
`include_unconfirmed`	string	true or false. Default false
`exclude_domains`	array	Domains to skip
`max_search_pages`	string	Cap on Google pages read
`max_charge_usd`	string	Optional cost cap for the run

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

Event	Free plan	Bronze	Silver	Gold
`store-found`, one confirmed store	$0.0055	$0.005225	$0.00495	$0.004675
`search-page`, one Google result page read	$0.019	$0.01805	$0.0171	$0.01615
`apify-actor-start`, per run start	$0.002	$0.002	$0.002	$0.002

Unconfirmed, refused, and failed sites are free.

Your keys

The actor needs no key. It reads Google result pages through the Apify Google SERP proxy and the stores' own public pages, and holds no key of any kind. Mamba Labs pays the platform and proxy costs of the run.

Full actor documentation

apify.com/mambalabs/ecommerce-store-discovery

License

MIT. See LICENSE.