# Shopify Pixel Audit Leads Scraper & Contact Finder (`wishful_knowledge/shopify-pixel-audit-leads-scraper`) Actor Find Shopify stores with paid ads tracking gaps, public business emails, social profiles, tech stack signals, and pixel audit outreach angles. - **URL**: https://apify.com/wishful\_knowledge/shopify-pixel-audit-leads-scraper.md - **Developed by:** [sanfeng zhang](https://apify.com/wishful_knowledge) (community) - **Categories:** Lead generation, E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 pixel audit leads This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 Pixel Audit Leads Scraper & Contact Finder Find Shopify stores with paid ads tracking gaps, public business emails, social profiles, tech stack signals, and pixel audit outreach angles. This Actor is a focused Shopify agency prospecting tool for paid social agencies, tracking consultants, analytics specialists, and ecommerce growth teams. It discovers or enriches public Shopify storefronts, keeps only contactable higher-quality leads by default, and saves rows that match this buyer intent: contactable Shopify stores where a Meta, TikTok, Pinterest, GA4, or GTM audit is a natural outreach offer. ### Why use it - Find Shopify stores for a specific service offer instead of exporting raw domains. - Extract public business role emails such as info@, support@, sales@, and hello@. - Detect public Shopify signals, social profiles, product samples, and app or pixel stack signals. - Save a one-line outreach summary with buyer persona, recommended offer, and gap signals. - Filter weak or irrelevant stores before they become paid dataset rows. ### Fast start Paste known Shopify URLs or enable discovery for a small test: ```json { "startUrls": [ "https://www.allbirds.com" ], "includeSearchDiscovery": false, "includeCommonCrawlDiscovery": false, "targetUseCase": "paidAdsPixelAudit", "requireBusinessEmail": true, "includePhones": false, "includePersonalEmails": false, "minOpportunityScore": 50, "maxStores": 1, "maxPagesPerStore": 4 } ```` For discovery, keep the first run small: ```json { "queries": [ "fashion shopify", "jewelry shopify", "home decor shopify", "fitness products shopify" ], "includeSearchDiscovery": true, "includeCommonCrawlDiscovery": true, "commonCrawlLimit": 80, "targetUseCase": "paidAdsPixelAudit", "requireBusinessEmail": true, "minOpportunityScore": 55, "maxStores": 40 } ``` ### Output Each saved row includes: domain, URL, primary business email, public socials, niche, buyer persona, recommended offer, outreach summary, Shopify confidence, product samples, detected stack signals, missing stack signals, opportunity score, and agency audit score. ### Pricing The intended launch price is USD 0.004 per saved lead, equal to USD 4 per 1,000 saved leads. Low-scoring stores and stores that do not match the selected buyer intent are counted in RUN\_SUMMARY but are not saved by default. Free Apify-plan users can preview up to 3 saved leads per run. Paid Apify-plan users can request larger runs and receive the full eligible output, subject to their run charge limit. ### Compliance The Actor uses public web pages only. It does not log in, bypass permissions, or access paid areas. Personal-looking emails and phone extraction are disabled by default. ### Keywords Shopify pixel audit leads, Meta Pixel audit prospects, TikTok Pixel Shopify leads, ecommerce tracking audit, Shopify paid ads leads # Actor input Schema ## `queries` (type: `array`): Search terms used to discover candidate Shopify stores. Add a niche, country, or product category. ## `startUrls` (type: `array`): Known Shopify or ecommerce store URLs to analyze directly. Use this if you already have a prospect list. ## `includeSearchDiscovery` (type: `boolean`): When enabled, the Actor uses HTML search pages to find candidate stores from the search queries. This is best-effort and can be throttled by search engines. ## `includeCommonCrawlDiscovery` (type: `boolean`): When enabled, the Actor discovers public myshopify.com subdomains from the latest Common Crawl indexes. ## `commonCrawlLimit` (type: `integer`): Maximum myshopify.com candidate URLs to collect from Common Crawl before analysis. ## `includePhones` (type: `boolean`): When enabled, extracts public phone and WhatsApp numbers shown on store pages. Disabled by default to reduce privacy risk. ## `includePersonalEmails` (type: `boolean`): When disabled, keeps only generic business role emails such as info@, support@, sales@, and hello@. ## `requireBusinessEmail` (type: `boolean`): When enabled, only leads with at least one public business role email are saved to the dataset. This keeps paid-per-event outputs focused on contactable prospects. ## `targetUseCase` (type: `string`): Optional buyer-intent filter. Use it to save only leads matching a specific Shopify agency offer, such as Klaviyo retention audits or paid ads pixel audits. ## `includeProductSamples` (type: `boolean`): When enabled, includes a small sample of public product titles from Shopify JSON endpoints. ## `productSampleLimit` (type: `integer`): Maximum public product titles to include per store. Lower values reduce output size and copyright exposure. ## `minOpportunityScore` (type: `integer`): Only records with this score or higher are saved to the dataset. Lower-scoring confirmed stores are counted in RUN\_SUMMARY but filtered out to protect paid-per-result economics. ## `maxStores` (type: `integer`): Maximum number of unique store domains to analyze. Free Apify plan preview runs are capped to a smaller discovery size and save up to 3 leads. ## `maxSearchResultsPerQuery` (type: `integer`): Maximum candidate URLs to collect from each query. ## `maxPagesPerStore` (type: `integer`): Maximum public pages to fetch from each store, including homepage, contact/about pages, and Shopify JSON endpoints. ## `requestDelayMs` (type: `integer`): Delay between requests, in milliseconds. ## `timeoutSecs` (type: `integer`): Timeout for each HTTP request. ## `respectRobotsTxt` (type: `boolean`): Skips paths disallowed for generic crawlers by robots.txt when enabled. ## `userAgent` (type: `string`): HTTP User-Agent header used for requests. ## Actor input object example ```json { "queries": [ "fashion shopify", "jewelry shopify", "home decor shopify", "fitness products shopify" ], "startUrls": [ "https://www.allbirds.com" ], "includeSearchDiscovery": false, "includeCommonCrawlDiscovery": false, "commonCrawlLimit": 25, "includePhones": false, "includePersonalEmails": false, "requireBusinessEmail": true, "targetUseCase": "paidAdsPixelAudit", "includeProductSamples": true, "productSampleLimit": 5, "minOpportunityScore": 50, "maxStores": 25, "maxSearchResultsPerQuery": 10, "maxPagesPerStore": 4, "requestDelayMs": 750, "timeoutSecs": 15, "respectRobotsTxt": true, "userAgent": "Mozilla/5.0 (compatible; shopify-pixel-audit-leads-scraper/0.1; +https://apify.com/)" } ``` # Actor output Schema ## `leads` (type: `string`): Confirmed Shopify stores that passed the opportunity score, business email, and paid ads tracking intent filters. ## `runSummary` (type: `string`): Counts, filtering decisions, charge attempts, and cost-control information for the run. # 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 = { "queries": [ "fashion shopify", "jewelry shopify", "home decor shopify", "fitness products shopify" ], "startUrls": [ "https://www.allbirds.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("wishful_knowledge/shopify-pixel-audit-leads-scraper").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 = { "queries": [ "fashion shopify", "jewelry shopify", "home decor shopify", "fitness products shopify", ], "startUrls": ["https://www.allbirds.com"], } # Run the Actor and wait for it to finish run = client.actor("wishful_knowledge/shopify-pixel-audit-leads-scraper").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 '{ "queries": [ "fashion shopify", "jewelry shopify", "home decor shopify", "fitness products shopify" ], "startUrls": [ "https://www.allbirds.com" ] }' | apify call wishful_knowledge/shopify-pixel-audit-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wishful_knowledge/shopify-pixel-audit-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify Pixel Audit Leads Scraper & Contact Finder", "description": "Find Shopify stores with paid ads tracking gaps, public business emails, social profiles, tech stack signals, and pixel audit outreach angles.", "version": "0.1", "x-build-id": "keAJtWbZKtjbufvun" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wishful_knowledge~shopify-pixel-audit-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wishful_knowledge-shopify-pixel-audit-leads-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/wishful_knowledge~shopify-pixel-audit-leads-scraper/runs": { "post": { "operationId": "runs-sync-wishful_knowledge-shopify-pixel-audit-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/wishful_knowledge~shopify-pixel-audit-leads-scraper/run-sync": { "post": { "operationId": "run-sync-wishful_knowledge-shopify-pixel-audit-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "queries": { "title": "Niche search queries", "type": "array", "description": "Search terms used to discover candidate Shopify stores. Add a niche, country, or product category.", "items": { "type": "string" } }, "startUrls": { "title": "Seed store URLs", "type": "array", "description": "Known Shopify or ecommerce store URLs to analyze directly. Use this if you already have a prospect list.", "default": [ "https://www.allbirds.com" ], "items": { "type": "string" } }, "includeSearchDiscovery": { "title": "Discover URLs from search", "type": "boolean", "description": "When enabled, the Actor uses HTML search pages to find candidate stores from the search queries. This is best-effort and can be throttled by search engines.", "default": false }, "includeCommonCrawlDiscovery": { "title": "Discover myshopify.com stores from Common Crawl", "type": "boolean", "description": "When enabled, the Actor discovers public myshopify.com subdomains from the latest Common Crawl indexes.", "default": false }, "commonCrawlLimit": { "title": "Common Crawl candidate limit", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum myshopify.com candidate URLs to collect from Common Crawl before analysis.", "default": 25 }, "includePhones": { "title": "Include public phone and WhatsApp numbers", "type": "boolean", "description": "When enabled, extracts public phone and WhatsApp numbers shown on store pages. Disabled by default to reduce privacy risk.", "default": false }, "includePersonalEmails": { "title": "Include individual-looking emails", "type": "boolean", "description": "When disabled, keeps only generic business role emails such as info@, support@, sales@, and hello@.", "default": false }, "requireBusinessEmail": { "title": "Require business email for saved leads", "type": "boolean", "description": "When enabled, only leads with at least one public business role email are saved to the dataset. This keeps paid-per-event outputs focused on contactable prospects.", "default": true }, "targetUseCase": { "title": "Target outreach use case", "enum": [ "any", "klaviyoRetentionAudit", "paidAdsPixelAudit", "reviewAppAudit", "subscriptionAudit" ], "type": "string", "description": "Optional buyer-intent filter. Use it to save only leads matching a specific Shopify agency offer, such as Klaviyo retention audits or paid ads pixel audits.", "default": "paidAdsPixelAudit" }, "includeProductSamples": { "title": "Include sample product titles", "type": "boolean", "description": "When enabled, includes a small sample of public product titles from Shopify JSON endpoints.", "default": true }, "productSampleLimit": { "title": "Product sample limit", "minimum": 0, "maximum": 20, "type": "integer", "description": "Maximum public product titles to include per store. Lower values reduce output size and copyright exposure.", "default": 5 }, "minOpportunityScore": { "title": "Minimum opportunity score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only records with this score or higher are saved to the dataset. Lower-scoring confirmed stores are counted in RUN_SUMMARY but filtered out to protect paid-per-result economics.", "default": 50 }, "maxStores": { "title": "Max stores", "minimum": 1, "maximum": 250, "type": "integer", "description": "Maximum number of unique store domains to analyze. Free Apify plan preview runs are capped to a smaller discovery size and save up to 3 leads.", "default": 25 }, "maxSearchResultsPerQuery": { "title": "Max search results per query", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum candidate URLs to collect from each query.", "default": 10 }, "maxPagesPerStore": { "title": "Max pages per store", "minimum": 1, "maximum": 12, "type": "integer", "description": "Maximum public pages to fetch from each store, including homepage, contact/about pages, and Shopify JSON endpoints.", "default": 4 }, "requestDelayMs": { "title": "Request delay", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Delay between requests, in milliseconds.", "default": 750 }, "timeoutSecs": { "title": "Request timeout", "minimum": 5, "maximum": 60, "type": "integer", "description": "Timeout for each HTTP request.", "default": 15 }, "respectRobotsTxt": { "title": "Respect robots.txt", "type": "boolean", "description": "Skips paths disallowed for generic crawlers by robots.txt when enabled.", "default": true }, "userAgent": { "title": "User agent", "type": "string", "description": "HTTP User-Agent header used for requests.", "default": "Mozilla/5.0 (compatible; shopify-pixel-audit-leads-scraper/0.1; +https://apify.com/)" } } }, "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 } } } } } } } } } } ```