# Google Maps Lead Enrichment (`peterpsync/google-maps-lead-enrichment`) Actor Enrich Google Maps business listings with AI-extracted emails, contacts, and social media. CRM-ready output. - **URL**: https://apify.com/peterpsync/google-maps-lead-enrichment.md - **Developed by:** [Peter Corapi](https://apify.com/peterpsync) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $30.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Google Maps Lead Enrichment Turn any Google Maps search into **enriched B2B leads with ready-to-send cold emails**. Get emails, contact names, social media, services — plus a personalized outreach draft for every lead. **50 enriched leads + cold emails for ~$1.50** | **Works globally** | **AI-powered** ### What You Get For each business found on Google Maps, this actor returns: | Field | Source | Example | |-------|--------|---------| | Business name | Google Maps | Joe's Plumbing | | Address | Google Maps | 1234 Lamar Blvd, Austin, TX | | Phone | Google Maps | +1-512-555-0123 | | Website | Google Maps | joesplumbing.com | | Rating & reviews | Google Maps | 4.8 (312 reviews) | | **Emails** | **AI extraction** | joe@joesplumbing.com | | **Contact name & title** | **AI extraction** | Joe Smith, Owner | | **Social media** | **AI extraction** | facebook.com/joesplumbing | | **Services offered** | **AI extraction** | Emergency plumbing, Water heater repair | | **Business description** | **AI extraction** | Family-owned plumbing since 1995 | | **Cold email draft** | **AI-generated** | Personalized outreach referencing their services | | **Lead score** | **Computed** | 85/100 (Hot) | ### How It Works 1. **Search** — Finds businesses on Google Maps matching your query and location 2. **Crawl** — Visits each business website (homepage, contact, about pages) 3. **Extract** — AI reads the website text and pulls out emails, contacts, socials, and services 4. **Score** — Rates each lead 0-100 based on data completeness (Hot / Warm / Cold) ### Who Is This For - **Lead gen agencies** building prospect lists for clients - **Cold email marketers** who need verified contact data - **B2B sales teams** prospecting in specific industries and regions - **Market researchers** analyzing local business landscapes ### Input | Field | Required | Description | |-------|----------|-------------| | Search Query | Yes | What to search (e.g., "plumbers", "dentists") | | Location | Yes | Where to search (e.g., "Austin, TX", "London, UK") | | Max Leads | No | How many businesses to fetch (default: 50, max: 500) | | Enrich Websites | No | Enable AI extraction from websites (default: true) | | Place IDs | No | Specific Google Maps place IDs instead of search | ### Pricing **$0.03 per lead** — that's $1.50 for 50 enriched results. Compare that to 2+ hours of manual research, or $50+/month for a lead enrichment subscription. Plus the Google Maps sub-actor cost (~$0.05-0.10 per 50 results, billed to your Apify account). ### Output Example ```json { "name": "Austin Premier Plumbing", "address": "1234 Lamar Blvd, Austin, TX 78703", "phone": "+1-512-555-0101", "website": "https://austinpremierplumbing.com", "rating": 4.8, "review_count": 312, "category": "Plumber", "emails": ["info@austinpremierplumbing.com", "joe@austinpremierplumbing.com"], "contact_name": "Joe Smith", "contact_title": "Owner", "social_media": { "facebook": "https://facebook.com/austinpremierplumbing", "instagram": "https://instagram.com/austinplumbing", "linkedin": null, "twitter": null, "youtube": null }, "services": [ "Emergency plumbing", "Water heater installation", "Drain clearing", "Pipe repair", "Bathroom remodeling" ], "description": "Family-owned plumbing company serving Austin since 1995, specializing in emergency repairs and water heater installation.", "score": 85, "score_label": "hot", "enrichment_status": "enriched" } ```` ### Tips - **Start small** — Test with 10 leads first to see the output quality for your industry - **Be specific** — "emergency plumbers" works better than just "plumbers" - **Location matters** — "Austin, TX" gives better results than just "Austin" - **Score filtering** — Export the dataset and filter by `score_label: "hot"` for the best leads - **No website?** — Businesses without websites still return phone, address, rating from Google Maps (charged at basic rate) ### Limitations - Websites that require JavaScript rendering (single-page apps) may return incomplete data - Some businesses don't have websites — they're returned with Google Maps data only - Email extraction depends on emails being visible on the business website - Rate-limited to be respectful to business websites (1.5s between page requests) ### Support Found a bug or have a feature request? Open an issue on the actor's GitHub page or contact the developer through Apify. # Actor input Schema ## `searchQuery` (type: `string`): Business type to search for (e.g., 'plumbers', 'dentists', 'HVAC contractors') ## `location` (type: `string`): City, state, or region (e.g., 'Austin, TX', 'London, UK', 'Sydney, Australia') ## `placeIds` (type: `array`): Optional: provide specific place IDs instead of a search query ## `maxLeads` (type: `integer`): Maximum number of businesses to fetch and enrich ## `enrichWebsites` (type: `boolean`): Crawl business websites to extract emails, contact names, and social media using AI ## Actor input object example ```json { "searchQuery": "plumbers", "location": "Austin, TX", "maxLeads": 50, "enrichWebsites": true } ``` # 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 = { "searchQuery": "plumbers", "location": "Austin, TX" }; // Run the Actor and wait for it to finish const run = await client.actor("peterpsync/google-maps-lead-enrichment").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 = { "searchQuery": "plumbers", "location": "Austin, TX", } # Run the Actor and wait for it to finish run = client.actor("peterpsync/google-maps-lead-enrichment").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 '{ "searchQuery": "plumbers", "location": "Austin, TX" }' | apify call peterpsync/google-maps-lead-enrichment --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=peterpsync/google-maps-lead-enrichment", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Lead Enrichment", "description": "Enrich Google Maps business listings with AI-extracted emails, contacts, and social media. CRM-ready output.", "version": "0.1", "x-build-id": "7NadPRyFQffrSnJ2f" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/peterpsync~google-maps-lead-enrichment/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-peterpsync-google-maps-lead-enrichment", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/peterpsync~google-maps-lead-enrichment/runs": { "post": { "operationId": "runs-sync-peterpsync-google-maps-lead-enrichment", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/peterpsync~google-maps-lead-enrichment/run-sync": { "post": { "operationId": "run-sync-peterpsync-google-maps-lead-enrichment", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQuery", "location" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Business type to search for (e.g., 'plumbers', 'dentists', 'HVAC contractors')" }, "location": { "title": "Location", "type": "string", "description": "City, state, or region (e.g., 'Austin, TX', 'London, UK', 'Sydney, Australia')" }, "placeIds": { "title": "Google Maps Place IDs", "type": "array", "description": "Optional: provide specific place IDs instead of a search query", "items": { "type": "string" } }, "maxLeads": { "title": "Maximum Leads", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of businesses to fetch and enrich", "default": 50 }, "enrichWebsites": { "title": "Enrich from Websites", "type": "boolean", "description": "Crawl business websites to extract emails, contact names, and social media using AI", "default": true } } }, "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 } } } } } } } } } } ```