# Shopify Store Intelligence / Lead Builder (`isotonic/shopify-store-intelligence`) Actor Analyze public Shopify stores for contacts, social links, apps, tracking pixels, catalog signals, and technical gaps for ecommerce lead research. - **URL**: https://apify.com/isotonic/shopify-store-intelligence.md - **Developed by:** [Brian Keefe](https://apify.com/isotonic) (community) - **Categories:** E-commerce, Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Shopify Store Intelligence / Lead Builder Production-oriented Apify Actor that inspects public Shopify storefront signals and emits one intelligence row per store. ### What it collects - Store URL and domain - Shopify detection status, confidence, and supporting signals - Public `/products.json` availability and product summary - SKU count, sample products, categories, price range, currency - Public sold-out or out-of-stock signals - Contact emails, phones, and contact page URLs - Social profiles - Newsletter or email capture hints - Visible analytics and ad pixel hints - Public app/script and technology hints - Shipping and return clues - B2B or wholesale pitch triggers ### Public-data compliance - Uses public storefront pages and public endpoints only - Uses `/products.json` when publicly available - Avoids login, account, checkout, cart actions, admin paths, and private APIs - Designed for lead building and storefront intelligence from publicly visible data ### Input The actor accepts domains or `startUrls`, plus crawl limits. ```json { "domains": ["example-store.com"], "startUrls": [{ "url": "https://example-store.com" }], "maxStores": 10, "maxRequestsPerStore": 12, "maxProducts": 250, "requestTimeoutSecs": 20 } ```` See `.actor/input_schema.json` and `examples/sample-input.json`. ### Output The actor writes one dataset item per store. Key fields: - `domain`, `url` - `shopifyDetected`, `shopifyConfidence`, `shopifyScore`, `shopifySignals` - `productsJsonAvailable`, `productCount`, `skuCount`, `sampleProducts`, `categories` - `priceMin`, `priceMax`, `currency` - `soldOutSignals` - `contactEmails`, `contactPhones`, `contactPages` - `socialLinks` - `newsletterHints` - `analyticsPixels` - `appScriptHints`, `technologyHints` - `shippingReturnClues` - `b2bPitchTriggers` - `pagesVisited`, `errors` See `examples/sample-output.json`. ### Local development Install dependencies: ```bash npm install ``` Run smoke tests: ```bash npm test ``` or: ```bash npm run smoke ``` Run locally with Apify CLI input: ```bash npx --yes apify-cli run --purge --input-file examples/sample-input.json ``` Example `INPUT.json`: ```json { "domains": ["example-store.com"], "maxStores": 1, "maxRequestsPerStore": 8, "maxProducts": 100 } ``` Dataset output is written to local Apify storage. ### Apify build and publish workflow Run locally through Apify CLI: ```bash npx --yes apify-cli run --purge --input-file examples/sample-input.json ``` Push source and wait for the Apify build to finish after authenticating: ```bash npx --yes apify-cli push --wait-for-finish 600 ``` If using a token in CI or a headless shell: ```bash export APIFY_TOKEN= npx --yes apify-cli push --wait-for-finish 600 --json ``` This repo does not publish automatically. ### Implementation notes - Detection combines public Shopify HTML, CDN, script, theme, and `/products.json` signals - Product intelligence is derived from public `products.json` payloads when available - HTML extraction inspects home, contact/about, policy, collection, product, and sitemap-discovered public pages within request limits - Smoke tests are deterministic and offline: they use static HTML, XML, and JSON fixtures instead of live network access # Actor input Schema ## `domains` (type: `array`): Shopify candidate store domains to inspect. ## `startUrls` (type: `array`): Optional storefront URLs. Domains can be derived from these URLs. ## `maxStores` (type: `integer`): Maximum number of stores to process. ## `maxRequestsPerStore` (type: `integer`): Maximum number of public pages/endpoints fetched per store. ## `maxProducts` (type: `integer`): Maximum number of products fetched from /products.json per store. ## `requestTimeoutSecs` (type: `integer`): Per-request timeout for public pages and JSON endpoints. ## Actor input object example ```json { "startUrls": [ { "url": "https://example.com" } ], "maxStores": 25, "maxRequestsPerStore": 12, "maxProducts": 250, "requestTimeoutSecs": 20 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://example.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("isotonic/shopify-store-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://example.com" }] } # Run the Actor and wait for it to finish run = client.actor("isotonic/shopify-store-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://example.com" } ] }' | apify call isotonic/shopify-store-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=isotonic/shopify-store-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify Store Intelligence / Lead Builder", "description": "Analyze public Shopify stores for contacts, social links, apps, tracking pixels, catalog signals, and technical gaps for ecommerce lead research.", "version": "0.1", "x-build-id": "ZTAR2KLcShALu2Auz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/isotonic~shopify-store-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-isotonic-shopify-store-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/isotonic~shopify-store-intelligence/runs": { "post": { "operationId": "runs-sync-isotonic-shopify-store-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/isotonic~shopify-store-intelligence/run-sync": { "post": { "operationId": "run-sync-isotonic-shopify-store-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "domains": { "title": "Domains", "type": "array", "description": "Shopify candidate store domains to inspect.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional storefront URLs. Domains can be derived from these URLs.", "items": { "type": "object", "properties": { "url": { "title": "URL", "description": "Storefront URL to inspect.", "type": "string" } }, "required": [ "url" ] } }, "maxStores": { "title": "Max stores", "minimum": 1, "type": "integer", "description": "Maximum number of stores to process.", "default": 25 }, "maxRequestsPerStore": { "title": "Max requests per store", "minimum": 3, "type": "integer", "description": "Maximum number of public pages/endpoints fetched per store.", "default": 12 }, "maxProducts": { "title": "Max products", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of products fetched from /products.json per store.", "default": 250 }, "requestTimeoutSecs": { "title": "Request timeout seconds", "minimum": 5, "maximum": 120, "type": "integer", "description": "Per-request timeout for public pages and JSON endpoints.", "default": 20 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```