# Google Maps Local Business Leads Scraper (`coregent/google-maps-local-business-leads-scraper`) Actor Scrape local business leads from Google Maps by keyword and location. Export clean, flat, CSV-friendly business data for outreach, SEO, web design sales, competitor research, and local lead generation. - **URL**: https://apify.com/coregent/google-maps-local-business-leads-scraper.md - **Developed by:** [Delowar Munna](https://apify.com/coregent) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.80 / 1,000 business results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Local Business Leads Scraper ![Google Maps Local Business Leads Scraper](https://raw.githubusercontent.com/coregentdevspace/google-maps-local-business-leads-scraper-assets/main/thumbnail-google-maps-local-business-leads-scraper.jpg) Lead-focused Google Maps scraping by **keyword + location**. Returns a clean, flat, CSV-friendly business row per result — built for **outreach, SEO, web design sales, competitor research, and local lead generation**. V1 deliberately avoids website crawling, email extraction, full review scraping, photos, menus, and AI enrichment so the run stays **fast and cheap**. You only pay for unique business rows that pass your filters and are successfully written to the dataset. ### ✨ Why this scraper - **Lead-focused** — 28 flat fields tuned for cold outreach (phone, website, rating, review count, address parts, lead score, reason tags). - **Pay-Per-Event** — `$` per saved unique business row. Duplicates, filtered rows, and failed pushes are not charged. - **No login, no cookies, no sessions** — just keyword + location. - **CSV-friendly output** — flat structure, no nested objects, drops cleanly into Sheets/Excel/CRMs. - **Transparent lead score** — rule-based (no AI), explained below. --- ### 🚀 Quick start — sample inputs #### Example 1 — single query ```json { "searchQueries": [ { "key": "plumbers", "value": "Canberra ACT" } ], "maxResults": 100, "country": "AU", "language": "en", "websiteFilter": "any", "phoneRequired": false, "includeOpeningHours": true, "includeCoordinates": true, "includeLeadScore": true, "deduplicateResults": true, "proxyConfiguration": { "useApifyProxy": true } } ```` #### Example 2 — multi-query, phone required, only businesses without a website (web-design lead list) ```json { "searchQueries": [ { "key": "electricians", "value": "Sydney NSW" }, { "key": "dentists", "value": "Melbourne VIC" }, { "key": "cafes", "value": "Brisbane QLD" } ], "maxResults": 200, "country": "AU", "language": "en", "minRating": 4.0, "minReviewCount": 10, "websiteFilter": "missingWebsite", "phoneRequired": true, "categoryFilter": "", "includeOpeningHours": true, "includeCoordinates": true, "includeLeadScore": true, "deduplicateResults": true, "proxyConfiguration": { "useApifyProxy": true } } ``` > The `searchQueries` field uses Apify's **Key/Value form editor** — the **Key** column is the business keyword (e.g. `plumbers`), the **Value** column is the location (e.g. `Canberra ACT`). Add one row per search. *** ### 📦 Output The dataset has one view: **Business leads** — a 28-column flat table. ![Business leads table view](https://raw.githubusercontent.com/coregentdevspace/google-maps-local-business-leads-scraper-assets/main/google-maps-local-business-leads-scraper-output-business-leads-table-view.png) #### Sample record — Business leads ```json { "search_keyword": "electricians", "search_location": "Sydney NSW", "business_name": "Hello Electrical | Electrician Sydney", "category": "Electrician", "rating": 5, "review_count": 442, "phone": "+61 2 8000 1185", "website": "https://www.helloelectrical.com.au/", "website_domain": "helloelectrical.com.au", "address": "192 Edgeware Rd, Newtown NSW 2042, Australia", "street_address": "192 Edgeware Rd", "suburb": "", "city": "Newtown", "state": "NSW", "postcode": "2042", "country": "Australia", "google_maps_url": "https://www.google.com/maps/place/Hello+Electrical+%7C+Electrician+Sydney/", "place_id": "0x6b0d57cca361e2b1:0x3828b97e7714dc6d", "latitude": -33.9044935, "longitude": 151.1733881, "opening_hours": "Closes 5 pm", "is_open_now": true, "has_website": true, "has_phone": true, "lead_quality_score": 100, "lead_quality_label": "Strong", "reason_tags": [ "has_phone", "has_website", "high_rating", "many_reviews", "complete_address", "category_found", "opening_hours_found", "outreach_ready" ], "scraped_at": "2026-05-05T05:20:53.092Z" } ``` #### Output fields (28) `search_keyword`, `search_location`, `business_name`, `category`, `rating`, `review_count`, `phone`, `website`, `website_domain`, `address`, `street_address`, `suburb`, `city`, `state`, `postcode`, `country`, `google_maps_url`, `place_id`, `latitude`, `longitude`, `opening_hours`, `is_open_now`, `has_website`, `has_phone`, `lead_quality_score`, `lead_quality_label`, `reason_tags`, `scraped_at`. *** ### 🎯 Lead quality score Transparent rule-based score (0–100) computed from visible fields — no AI, no external enrichment. | Signal | Points | | ------------------- | -----: | | Has phone | +20 | | Has website | +20 | | Rating ≥ 4.3 | +15 | | Review count ≥ 30 | +15 | | Has full address | +10 | | Category found | +10 | | Opening hours found | +10 | **Labels**: `Strong` (80–100) · `Good` (60–79) · `Moderate` (40–59) · `Weak` (0–39). **Reason tags** include `outreach_ready` when `has_phone`, `business_name`, and `address` are all present — sort by this tag to get a clean call/email list. *** ### 💰 Pricing **Pay-Per-Event**. The actor charges a single `business-result` event for each unique, filtered business row that is successfully written to the dataset. The actor honors the user-configured per-run spending cap (Apify `eventChargeLimitReached`) and stops cleanly when reached. Not charged: - Duplicates (de-duplicated by `place_id`, listing URL, or name+address). - Rows filtered out by `minRating`, `minReviewCount`, `websiteFilter`, `phoneRequired`, or `categoryFilter`. - Rows missing a `business_name`. - Failed dataset pushes. - Anything after the per-run spending cap is reached. *** ### 📊 Run summary After each run, a `RUN_SUMMARY` entry is written to the key-value store: ```json { "search_queries_total": 3, "successful_queries": 3, "failed_queries": 0, "raw_results_found": 240, "results_saved": 187, "duplicates_removed": 21, "filtered_out": 32, "charged_events": 187, "blocked_requests": 0, "retried_requests": 4, "runtime_seconds": 142, "scraped_at": "2026-05-05T12:00:00.000Z" } ``` `charged_events` always equals `results_saved`. *** ### ⚙️ Filters | Filter | Effect | | ------------------ | --------------------------------------------------------------------- | | `minRating` | Drop businesses below this star rating (0 disables). | | `minReviewCount` | Drop businesses with fewer reviews (0 disables). | | `websiteFilter` | `any` / `hasWebsite` / `missingWebsite`. | | `phoneRequired` | If `true`, keep only businesses with a visible phone. | | `categoryFilter` | Case-insensitive contains match against the business category. | | `deduplicateResults` | Drop duplicates across queries (recommended ON). | Filters are applied **after** extraction and **before** dataset push or event charge. *** ### 🚧 Limitations (V1) - **Cards-only extraction**: V1 reads each business row directly from the search results panel and **does not click into individual place detail panels**. Phone, website, full opening hours, and `place_id` only appear when Google surfaces them on the card itself; otherwise these fields are empty/`null`. - No website crawling, email extraction, or social link extraction. - No full review text or sentiment. - No photos, menus, prices, or popular times. - No login/cookie/session-based scraping. - Address parsing into street/suburb/city/state/postcode is best-effort; the full `address` field is the source of truth. - Per-query hard cap is **500 results**; per-run hard cap is **5,000 results**. *** ### 🛠️ Technical notes - **Stack**: Node.js 22 · Apify SDK 3 · Crawlee · Puppeteer. - **Concurrency**: `min=1`, `max=3` (conservative to reduce blocking). - **Memory**: 1 GB min · 2 GB default · 4 GB max. - **Proxy**: Apify Proxy enabled by default; custom configs accepted. - **Diagnostics**: On the first failed render (no feed, or feed but zero cards), the actor saves the page HTML and URL to the key-value store as `debug-no-feed-html` / `debug-zero-cards-html`. # Actor input Schema ## `searchQueries` (type: `array`): List of keyword + location pairs to search on Google Maps. Add one row per search — "Key" is the business keyword (e.g. plumbers), "Value" is the location (e.g. Canberra ACT). Each row becomes one search like "plumbers in Canberra ACT". ## `maxResults` (type: `integer`): Maximum number of saved business rows per search query. Hard cap is 500 per query and 5000 per run. ## `country` (type: `string`): Optional ISO country code used as a Google Maps locale hint, for example AU, US, GB. Leave empty to use the default Google locale. ## `language` (type: `string`): Language code used for Google Maps UI (IETF BCP-47), for example en, es, de. ## `minRating` (type: `integer`): Filter out businesses with a star rating below this value (0-5). Set to 0 to disable. ## `minReviewCount` (type: `integer`): Filter out businesses with fewer than this many Google reviews. Set to 0 to disable. ## `websiteFilter` (type: `string`): Filter by website availability. "any" keeps everything; "hasWebsite" keeps only businesses with a website; "missingWebsite" keeps only businesses without a website. ## `phoneRequired` (type: `boolean`): If enabled, only keep businesses that have a visible phone number. ## `categoryFilter` (type: `string`): Optional case-insensitive contains match against the business category. Leave empty to disable. ## `includeOpeningHours` (type: `boolean`): Include opening hours summary when visible without expensive extra steps. ## `includeCoordinates` (type: `boolean`): Include latitude/longitude when available from the listing URL. ## `includeLeadScore` (type: `boolean`): Add lead\_quality\_score, lead\_quality\_label and reason\_tags to each row. When disabled, score fields are null/empty. ## `deduplicateResults` (type: `boolean`): Remove duplicate businesses across queries using place\_id, listing URL, and name+address keys. ## `proxyConfiguration` (type: `object`): Apify Proxy configuration. Defaults to Apify Proxy enabled. ## Actor input object example ```json { "searchQueries": [ { "key": "plumbers", "value": "Canberra ACT" }, { "key": "electricians", "value": "Sydney NSW" } ], "maxResults": 100, "country": "", "language": "en", "minRating": 0, "minReviewCount": 0, "websiteFilter": "any", "phoneRequired": false, "categoryFilter": "", "includeOpeningHours": true, "includeCoordinates": true, "includeLeadScore": true, "deduplicateResults": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `overview` (type: `string`): Flat 28-field table view of every business row pushed to the 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": [ { "key": "plumbers", "value": "Canberra ACT" }, { "key": "electricians", "value": "Sydney NSW" } ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("coregent/google-maps-local-business-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 = { "searchQueries": [ { "key": "plumbers", "value": "Canberra ACT", }, { "key": "electricians", "value": "Sydney NSW", }, ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("coregent/google-maps-local-business-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 '{ "searchQueries": [ { "key": "plumbers", "value": "Canberra ACT" }, { "key": "electricians", "value": "Sydney NSW" } ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call coregent/google-maps-local-business-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=coregent/google-maps-local-business-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Local Business Leads Scraper", "description": "Scrape local business leads from Google Maps by keyword and location. Export clean, flat, CSV-friendly business data for outreach, SEO, web design sales, competitor research, and local lead generation.", "version": "1.0", "x-build-id": "b5VLJnHabAlWELV5E" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/coregent~google-maps-local-business-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-coregent-google-maps-local-business-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/coregent~google-maps-local-business-leads-scraper/runs": { "post": { "operationId": "runs-sync-coregent-google-maps-local-business-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/coregent~google-maps-local-business-leads-scraper/run-sync": { "post": { "operationId": "run-sync-coregent-google-maps-local-business-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", "required": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search Queries (keyword + location)", "type": "array", "description": "List of keyword + location pairs to search on Google Maps. Add one row per search — \"Key\" is the business keyword (e.g. plumbers), \"Value\" is the location (e.g. Canberra ACT). Each row becomes one search like \"plumbers in Canberra ACT\".", "default": [ { "key": "plumbers", "value": "Canberra ACT" } ], "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "maxResults": { "title": "Max results per query", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of saved business rows per search query. Hard cap is 500 per query and 5000 per run.", "default": 100 }, "country": { "title": "Country (locale hint)", "type": "string", "description": "Optional ISO country code used as a Google Maps locale hint, for example AU, US, GB. Leave empty to use the default Google locale.", "default": "" }, "language": { "title": "Language", "type": "string", "description": "Language code used for Google Maps UI (IETF BCP-47), for example en, es, de.", "default": "en" }, "minRating": { "title": "Minimum rating", "minimum": 0, "maximum": 5, "type": "integer", "description": "Filter out businesses with a star rating below this value (0-5). Set to 0 to disable.", "default": 0 }, "minReviewCount": { "title": "Minimum review count", "minimum": 0, "type": "integer", "description": "Filter out businesses with fewer than this many Google reviews. Set to 0 to disable.", "default": 0 }, "websiteFilter": { "title": "Website filter", "enum": [ "any", "hasWebsite", "missingWebsite" ], "type": "string", "description": "Filter by website availability. \"any\" keeps everything; \"hasWebsite\" keeps only businesses with a website; \"missingWebsite\" keeps only businesses without a website.", "default": "any" }, "phoneRequired": { "title": "Phone required", "type": "boolean", "description": "If enabled, only keep businesses that have a visible phone number.", "default": false }, "categoryFilter": { "title": "Category contains filter", "type": "string", "description": "Optional case-insensitive contains match against the business category. Leave empty to disable.", "default": "" }, "includeOpeningHours": { "title": "Include opening hours", "type": "boolean", "description": "Include opening hours summary when visible without expensive extra steps.", "default": true }, "includeCoordinates": { "title": "Include coordinates", "type": "boolean", "description": "Include latitude/longitude when available from the listing URL.", "default": true }, "includeLeadScore": { "title": "Include lead quality score", "type": "boolean", "description": "Add lead_quality_score, lead_quality_label and reason_tags to each row. When disabled, score fields are null/empty.", "default": true }, "deduplicateResults": { "title": "Deduplicate results", "type": "boolean", "description": "Remove duplicate businesses across queries using place_id, listing URL, and name+address keys.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy configuration. Defaults to Apify Proxy enabled.", "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 } } } } } } } } } } ```