# Google Maps Business Lead Exporter (`glowing_glove/google-maps-lead-finder`) Actor Build local business lead lists from Google Maps searches with names, categories, ratings, addresses, phones, websites, and map URLs. - **URL**: https://apify.com/glowing\_glove/google-maps-lead-finder.md - **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community) - **Categories:** Lead generation, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $20.00 / 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 Business Lead Exporter Build local business lead lists from Google Maps searches with names, categories, ratings, addresses, phones, websites, and map URLs. This Ushba actor is prepared for clean exports, predictable limits, and scheduled workflows. It focuses on useful rows instead of noisy scrape artifacts. ### What You Get - business names, categories, ratings, review counts, addresses, and phone numbers - website links, Google Maps URLs, keyword, location, and search metadata - fast result caps for prospecting, local SEO, market research, and CRM enrichment ### Best For - lead generation, research, monitoring, enrichment, and reporting workflows - exporting clean rows to CSV, Excel, JSON, APIs, CRMs, or automation tools - scheduled runs where predictable output and clear result limits matter ### How To Use 1. Add the public URLs, keywords, locations, handles, or settings required by the input form. 2. Set the result limit to match the number of rows you want to pay for. 3. Run the actor once for a sample, then schedule it if you need monitoring. 4. Export the dataset or connect it to your workflow through the Apify API or integrations. ### Output The default dataset returns structured rows using the fields listed above. Empty, blocked, or failed targets are handled clearly so downstream tools can filter results without guessing. ### Notes - Works with public data that the target website exposes during the run. - Uses result caps and error handling to avoid runaway runs. - Private, login-only, or heavily blocked pages may return fewer rows than requested. # Actor input Schema ## `keywords` (type: `array`): Business types, niches, or services to search for. Add one keyword per line. ## `locations` (type: `array`): Cities, regions, neighborhoods, or postal areas to search in. Add one location per line. ## `maxResultsPerSearch` (type: `integer`): Maximum number of businesses to save for each keyword and location combination. ## `maxConcurrency` (type: `integer`): How many keyword/location searches can be processed in parallel. Use 2-3 for stability, up to 6 for faster runs with more memory. ## `language` (type: `string`): Language code used for Google Maps results and labels. ## `includeSearchMetadata` (type: `boolean`): Adds searchKeyword and searchLocation to every dataset item. ## `includeSponsoredResults` (type: `boolean`): Includes Google Maps sponsored listings when they appear in the map results. ## Actor input object example ```json { "keywords": [ "dentist", "coffee shop" ], "locations": [ "New York, USA" ], "maxResultsPerSearch": 50, "maxConcurrency": 3, "language": "en", "includeSearchMetadata": true, "includeSponsoredResults": true } ```` # Actor output Schema ## `overview` (type: `string`): No description ## `summary` (type: `string`): No description # 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 = { "keywords": [ "dentist", "coffee shop" ], "locations": [ "New York, USA" ], "maxResultsPerSearch": 50, "maxConcurrency": 3, "language": "en" }; // Run the Actor and wait for it to finish const run = await client.actor("glowing_glove/google-maps-lead-finder").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 = { "keywords": [ "dentist", "coffee shop", ], "locations": ["New York, USA"], "maxResultsPerSearch": 50, "maxConcurrency": 3, "language": "en", } # Run the Actor and wait for it to finish run = client.actor("glowing_glove/google-maps-lead-finder").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 '{ "keywords": [ "dentist", "coffee shop" ], "locations": [ "New York, USA" ], "maxResultsPerSearch": 50, "maxConcurrency": 3, "language": "en" }' | apify call glowing_glove/google-maps-lead-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=glowing_glove/google-maps-lead-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Business Lead Exporter", "description": "Build local business lead lists from Google Maps searches with names, categories, ratings, addresses, phones, websites, and map URLs.", "version": "1.2", "x-build-id": "DKxTQpcXefTuyOWR5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/glowing_glove~google-maps-lead-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-glowing_glove-google-maps-lead-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/glowing_glove~google-maps-lead-finder/runs": { "post": { "operationId": "runs-sync-glowing_glove-google-maps-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/glowing_glove~google-maps-lead-finder/run-sync": { "post": { "operationId": "run-sync-glowing_glove-google-maps-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords", "locations" ], "properties": { "keywords": { "title": "Business keywords", "type": "array", "description": "Business types, niches, or services to search for. Add one keyword per line.", "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "Cities, regions, neighborhoods, or postal areas to search in. Add one location per line.", "items": { "type": "string" } }, "maxResultsPerSearch": { "title": "Max results per keyword/location", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of businesses to save for each keyword and location combination.", "default": 50 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 6, "type": "integer", "description": "How many keyword/location searches can be processed in parallel. Use 2-3 for stability, up to 6 for faster runs with more memory.", "default": 3 }, "language": { "title": "Google Maps language", "type": "string", "description": "Language code used for Google Maps results and labels.", "default": "en" }, "includeSearchMetadata": { "title": "Include search metadata", "type": "boolean", "description": "Adds searchKeyword and searchLocation to every dataset item.", "default": true }, "includeSponsoredResults": { "title": "Include sponsored results", "type": "boolean", "description": "Includes Google Maps sponsored listings when they appear in the map results.", "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 } } } } } } } } } } ```