# Google Maps Lead Scraper + AI (Local Business Leads) (`lizzyyy2/gmaps-lead-signals-ai`) Actor Feasibility spike: verify datacenter proxy renders the Google Maps results feed and we can extract business listings. - **URL**: https://apify.com/lizzyyy2/gmaps-lead-signals-ai.md - **Developed by:** [Lizzy](https://apify.com/lizzyyy2) (community) - **Categories:** AI, Lead generation, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 business 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 ## Google Maps Lead Scraper + AI — Local Business Leads with Contact Details Search **Google Maps** for any kind of local business and get back a clean list of **sales leads** — name, category, full address, rating, review count, **phone and website** — then let built-in **AI** score each lead, read its buying signal, and write a **personalized outreach opener**. Give it a search like `dentists in Miami FL`, `coffee shops in Austin TX`, or `plumbers near Denver CO`. You get one tidy row per business, ready for outreach. Built-in AI. **No OpenAI / OpenRouter API key required.** --- ### Why this beats a raw Maps dump Most Google Maps scrapers just dump pins. This one is built for **outreach**: | | Raw Maps scrapers | **Google Maps Lead Scraper + AI** | |---|:---:|:---:| | Business name, address, rating | ✅ | ✅ | | **Phone & website** (for contact) | sometimes | ✅ | | Deduped clean lead rows | ❌ | ✅ | | AI fit score (0–100) for *your* offer | ❌ | ✅ | | Buying-intent signal + sales angle | ❌ | ✅ | | Personalized outreach opener per business | ❌ | ✅ | | Best contact channel suggestion | ❌ | ✅ | | Works with **no API key** | — | ✅ | A category, a review count and a missing website tell you a lot: a busy clinic with no booking link, an independent cafe with weak web presence, a contractor with hundreds of reviews but a one-page site. The AI ties each of those to **what you sell**. --- ### Input | Field | Type | Description | |---|---|---| | `searchQueries` | array (required) | Natural Google Maps searches, e.g. `coffee shops in Austin TX`, `dentists in Miami FL`. Each becomes a list of leads. | | `maxResultsPerQuery` | integer | How many businesses to collect per query. Default `20`. | | `maxLeads` | integer | Hard cap on total unique leads across all queries. Default `100`. | | `includeContactDetails` | boolean | Open each business to pull **phone + website**. Off = faster/cheaper, but name/category/address/rating only. Default `true`. | | `aiSignals` | boolean | Built-in AI fit score, buying signal, sales angle, opener and best contact channel. Default `true`. | | `offerDescription` | string | What you sell — the AI ties each business to your offer and writes a tailored opener. | | `aiLanguage` | string | Language for AI text. Default `English`. | | `proxyConfiguration` | object | Apify Proxy rotates IPs to keep Maps requests flowing. Keep the default. | #### Example input ```json { "searchQueries": ["coffee shops in Austin TX", "dentists in Miami FL"], "maxResultsPerQuery": 20, "maxLeads": 100, "includeContactDetails": true, "aiSignals": true, "offerDescription": "We sell a website + online-booking platform for local service businesses.", "aiLanguage": "English" } ```` *** ### Output One row per **unique business**: ```json { "query": "dentists in Miami FL", "name": "Brickell Dental Care", "category": "Dental clinic", "address": "1450 Brickell Ave, Miami, FL 33131", "phone": "+1 305-555-0142", "website": "https://brickelldentalcare.com", "rating": 4.8, "reviewCount": 612, "lat": 25.762, "lng": -80.193, "plusCode": "76QX+2C Miami, Florida", "placeUrl": "https://www.google.com/maps/place/...", "businessType": "Modern dental clinic", "fitScore": 82, "intentSignal": "High review volume but a basic site with no visible online booking — strong fit for a booking platform.", "salesAngle": "Lead with reduced no-shows and 24/7 self-booking for a high-demand clinic.", "personalizedOpener": "With 600+ reviews, Brickell Dental Care clearly stays busy — I help clinics like yours capture after-hours bookings automatically.", "bestContactChannel": "phone", "aiAnalyzed": true } ``` *** ### How it works 1. Searches **Google Maps** for each query and scrolls the results feed to collect businesses. 2. Optionally opens each business to extract **phone and website** (the fields that make a lead actionable). 3. **Dedupes** so each business appears once. 4. Runs **one AI call per lead** to score fit (0–100), summarize the buying signal, suggest a sales angle, pick the best contact channel, and write a personalized opener tied to that specific business. 5. Saves one clean lead row per business. IPs are rotated via Apify Proxy to keep requests flowing. *** ### Tips - Add an `offerDescription` to get openers and a fit score tailored to *your* product. - Run several cities/niches in one go: `["med spas in Scottsdale AZ", "med spas in Dallas TX"]`. - Turn off `includeContactDetails` for a quick, cheap census (name/category/address/rating only); turn off `aiSignals` for raw leads. - Higher `maxResultsPerQuery` digs deeper into each search. *** ### FAQ **Do I need a Google or AI API key?** No. It reads public Google Maps and uses Apify's built-in AI model — nothing to manage. **Is phone/website always present?** Only when the business has published them on Google Maps. Most established businesses have at least one. You also get address and a Maps link to reach the rest. **Why dedupe to one row per business?** Because your lead is the business — one clean row keeps your outreach list tidy. **Can I turn AI or contact enrichment off?** Yes. Turn off `aiSignals` for raw leads, or `includeContactDetails` for a faster/cheaper census — both lower cost. *** ### Related Actors — build a full pipeline - Feed the **websites** from these leads into an **AI Lead Enricher** to pull emails and a cold-email opener. - Cross-reference with review-intelligence or hiring-signal actors to prioritize the businesses most likely to buy. > Workflow: **Google Maps Lead Scraper (find local businesses)** → **AI Lead Enricher (emails + opener)** → your CRM / sequencer. # Actor input Schema ## `searchQueries` (type: `array`): What to search on Google Maps. Use natural local-business searches, e.g. "coffee shops in Austin TX", "dentists in Miami FL", "plumbers near Denver CO". Each query becomes a list of business leads. ## `maxResultsPerQuery` (type: `integer`): How many businesses to collect from each search query (Google typically shows up to ~120 per search). ## `maxLeads` (type: `integer`): Hard cap on the total number of unique business leads returned across all queries. ## `includeContactDetails` (type: `boolean`): Open each business to extract phone number and website (the strongest contact fields for outreach). Turning this off is faster/cheaper but returns only name, category, address and rating. ## `aiSignals` (type: `boolean`): Use built-in AI (no API key) to add a fit score (0-100), a buying-intent signal, a sales angle, a personalized outreach opener and the best contact channel for each business. ## `offerDescription` (type: `string`): Describe your product/service. The AI ties each business to your offer and writes a tailored opener and fit score. Leave empty for a generic angle. ## `aiLanguage` (type: `string`): Language for the AI-written fields (e.g. English, Spanish, Turkish, German). ## `proxyConfiguration` (type: `object`): Apify Proxy rotates IPs to keep Google Maps requests flowing. Keep the default (automatic datacenter). ## Actor input object example ```json { "searchQueries": [ "coffee shops in Austin TX", "dentists in Miami FL" ], "maxResultsPerQuery": 20, "maxLeads": 100, "includeContactDetails": true, "aiSignals": true, "offerDescription": "We sell a website + online-booking platform for local service businesses.", "aiLanguage": "English", "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `leads` (type: `string`): Unique local-business leads with contact details and AI sales intelligence in the default dataset. # 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 = { "searchQueries": [ "coffee shops in Austin TX" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("lizzyyy2/gmaps-lead-signals-ai").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 = { "searchQueries": ["coffee shops in Austin TX"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("lizzyyy2/gmaps-lead-signals-ai").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 '{ "searchQueries": [ "coffee shops in Austin TX" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call lizzyyy2/gmaps-lead-signals-ai --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lizzyyy2/gmaps-lead-signals-ai", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Lead Scraper + AI (Local Business Leads)", "description": "Feasibility spike: verify datacenter proxy renders the Google Maps results feed and we can extract business listings.", "version": "0.1", "x-build-id": "NkS2lpYaa1X5l9QXd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lizzyyy2~gmaps-lead-signals-ai/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lizzyyy2-gmaps-lead-signals-ai", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lizzyyy2~gmaps-lead-signals-ai/runs": { "post": { "operationId": "runs-sync-lizzyyy2-gmaps-lead-signals-ai", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lizzyyy2~gmaps-lead-signals-ai/run-sync": { "post": { "operationId": "run-sync-lizzyyy2-gmaps-lead-signals-ai", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search queries", "type": "array", "description": "What to search on Google Maps. Use natural local-business searches, e.g. \"coffee shops in Austin TX\", \"dentists in Miami FL\", \"plumbers near Denver CO\". Each query becomes a list of business leads.", "items": { "type": "string" } }, "maxResultsPerQuery": { "title": "Max results per query", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many businesses to collect from each search query (Google typically shows up to ~120 per search).", "default": 20 }, "maxLeads": { "title": "Max leads (total)", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Hard cap on the total number of unique business leads returned across all queries.", "default": 100 }, "includeContactDetails": { "title": "Include phone & website", "type": "boolean", "description": "Open each business to extract phone number and website (the strongest contact fields for outreach). Turning this off is faster/cheaper but returns only name, category, address and rating.", "default": true }, "aiSignals": { "title": "AI lead scoring & outreach", "type": "boolean", "description": "Use built-in AI (no API key) to add a fit score (0-100), a buying-intent signal, a sales angle, a personalized outreach opener and the best contact channel for each business.", "default": true }, "offerDescription": { "title": "What you sell (for AI)", "type": "string", "description": "Describe your product/service. The AI ties each business to your offer and writes a tailored opener and fit score. Leave empty for a generic angle." }, "aiLanguage": { "title": "AI output language", "type": "string", "description": "Language for the AI-written fields (e.g. English, Spanish, Turkish, German).", "default": "English" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy rotates IPs to keep Google Maps requests flowing. Keep the default (automatic datacenter).", "default": { "useApifyProxy": 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 } } } } } } } } } } ```