# Google Maps Lead I Scraper (Emails + AI + Sales Signals) (`akatsuki-eren/google-maps-premium-lead-gen`) Actor Find businesses, extract emails, and know exactly who to contact and how to pitch them - **URL**: https://apify.com/akatsuki-eren/google-maps-premium-lead-gen.md - **Developed by:** [Eren](https://apify.com/akatsuki-eren) (community) - **Categories:** AI, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.012 / actor start 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 ## AI Google Maps Premium Lead Generator 🚀 Stop manually searching for clients. This Actor is a complete B2B lead generation engine that combines Playwright's scraping power with AI-driven analysis to hand you high-converting sales pipelines. ### 🌟 Core Features * **Smart Email Hunter:** Doesn't just check the homepage. It simultaneously crawls `/contact`, `/about`, and `/team` pages to extract high-confidence decision-maker emails. * **AI-Powered Sales Angles:** Uses Llama-3.1 to analyze the business's website and write a custom, 1-line tailored sales pitch you can paste directly into your cold emails. * **Algorithmic Lead Scoring:** Automatically grades every lead as `High`, `Medium`, or `Low` priority based on their digital presence and reviews. * **Vulnerability Detection:** Automatically flags "High Intent" businesses that desperately need your services (e.g., businesses with low ratings, or successful businesses with no website). * **Anti-Bot Stealth:** Built with residential proxy rotation, randomized user-agents, and browser cloaking to bypass strict anti-scraping measures. ### 📊 Output Data Structure The dataset exports beautifully into CSV, JSON, or Excel. You will receive: * `name`, `address`, `phone`, `website`, `rating` * `emails` (Comma separated list of up to 5 smart-filtered emails) * `emailConfidence` (High/Medium/None based on extraction method) * `category` (AI-determined business niche) * `leadScore` & `intentScore` (Algorithmic pipeline grading) * `intentReason` (The exact reason this business was flagged as a good lead) * `aiSummary` (2-sentence analysis of their website operations) * `outreachSuggestion` (Custom pitch angle for your cold email) ### 💡 Best Practices for Usage 1. **Keep Max Results Reasonable:** Google Maps limits infinite scrolling. For best results, keep `maxResults` between 10 and 150 per run. 2. **Memory Allocation:** This actor runs a headless Chromium browser and executes parallel page requests. Please allocate **at least 4GB of Memory** in your Apify task settings for optimal performance and to prevent container crashes. # Actor input Schema ## `searchKeyword` (type: `string`): The type of business you want to find (e.g., Marketing Agency, Plumbers, Dentists). ## `location` (type: `string`): City, State, or Zip Code (e.g., Austin, TX). ## `maxResults` (type: `integer`): The absolute maximum number of businesses to scrape. Keep under 200 for best performance. ## `minRating` (type: `number`): Skip businesses with a rating lower than this number (Set to 0 to keep all). ## `onlyWithEmail` (type: `boolean`): If checked, the scraper will automatically delete any lead where a valid email could not be found. ## `onlyHighIntent` (type: `boolean`): If checked, only returns leads flagged as 'High Intent' by the algorithm (e.g., no website, poor ratings). ## Actor input object example ```json { "searchKeyword": "Marketing Agency", "location": "Austin, TX", "maxResults": 10, "minRating": 0, "onlyWithEmail": false, "onlyHighIntent": false } ```` # 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 = { "searchKeyword": "Marketing Agency", "location": "Austin, TX" }; // Run the Actor and wait for it to finish const run = await client.actor("akatsuki-eren/google-maps-premium-lead-gen").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 = { "searchKeyword": "Marketing Agency", "location": "Austin, TX", } # Run the Actor and wait for it to finish run = client.actor("akatsuki-eren/google-maps-premium-lead-gen").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 '{ "searchKeyword": "Marketing Agency", "location": "Austin, TX" }' | apify call akatsuki-eren/google-maps-premium-lead-gen --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=akatsuki-eren/google-maps-premium-lead-gen", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Lead I Scraper (Emails + AI + Sales Signals)", "description": "Find businesses, extract emails, and know exactly who to contact and how to pitch them", "version": "1.0", "x-build-id": "LtcZHfDtcldkTT6Ib" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/akatsuki-eren~google-maps-premium-lead-gen/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-akatsuki-eren-google-maps-premium-lead-gen", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/akatsuki-eren~google-maps-premium-lead-gen/runs": { "post": { "operationId": "runs-sync-akatsuki-eren-google-maps-premium-lead-gen", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/akatsuki-eren~google-maps-premium-lead-gen/run-sync": { "post": { "operationId": "run-sync-akatsuki-eren-google-maps-premium-lead-gen", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchKeyword", "location", "maxResults" ], "properties": { "searchKeyword": { "title": "Search Keyword", "type": "string", "description": "The type of business you want to find (e.g., Marketing Agency, Plumbers, Dentists)." }, "location": { "title": "Location", "type": "string", "description": "City, State, or Zip Code (e.g., Austin, TX)." }, "maxResults": { "title": "Maximum Results", "minimum": 1, "type": "integer", "description": "The absolute maximum number of businesses to scrape. Keep under 200 for best performance.", "default": 10 }, "minRating": { "title": "Minimum Rating Requirement", "minimum": 0, "maximum": 5, "type": "number", "description": "Skip businesses with a rating lower than this number (Set to 0 to keep all).", "default": 0 }, "onlyWithEmail": { "title": "Require Email Address", "type": "boolean", "description": "If checked, the scraper will automatically delete any lead where a valid email could not be found.", "default": false }, "onlyHighIntent": { "title": "Strict High-Intent Filtering", "type": "boolean", "description": "If checked, only returns leads flagged as 'High Intent' by the algorithm (e.g., no website, poor ratings).", "default": false } } }, "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 } } } } } } } } } } ```