# Google Maps Monitor: New Business & Fresh Local Leads (`obsidian937/google-maps-watchlist`) Actor Track a location + niche and get only the NEW businesses since your last run. Fresh local leads with phone, website, guessed emails, rating and lead score. Delta monitor, CRM-ready JSON, pay per result. - **URL**: https://apify.com/obsidian937/google-maps-watchlist.md - **Developed by:** [Obsidian IT Consulting SRL](https://apify.com/obsidian937) (community) - **Categories:** Lead generation, E-commerce, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Monitor: New Business & Fresh Local Leads Stop re-scraping the same businesses every week. This actor **watches a location and a niche for you and returns only what is new** since your last run: freshly listed businesses, ready to contact. Point it at "plumbers in London" or "coffee shops in Austin", run it on a schedule, and each run hands you the businesses that appeared since last time, with phone, website, guessed emails, rating and a 0-100 lead score. CRM-ready JSON, pay per result. ### Why a monitor instead of a one-shot scraper A normal Maps scraper dumps the same 200 businesses every time and leaves you to diff them by hand. A monitor keeps memory: - **First run** = your baseline (every current match, so you start with a full list). - **Every run after** = only the businesses that are genuinely new to your watchlist. That means the moment a new competitor, supplier or prospect gets listed in your area, it lands in your next run. Newly listed businesses are prime outreach targets: they are setting up, still choosing vendors, and rarely locked into contracts. ### Who uses it - **Agencies and freelancers** monitoring "new restaurants / clinics / gyms in {city}" to pitch websites, ads or SEO while the business is still ramping up. - **B2B sales teams** tracking new entrants in a category to reach out first. - **Suppliers and franchises** watching new openings that need equipment, POS, insurance or delivery. - **Real estate and local media** keeping a live pulse on what is opening where. ### Output (one row per business) | Field | Description | |-------|-------------| | `isNew` | `true` if first seen on this run | | `firstSeen` | ISO timestamp the watchlist first saw this business | | `leadScore` | 0-100 contactability + traction score | | `name`, `category` | Business identity | | `phone`, `website`, `guessedEmails` | Contact channels | | `rating`, `reviewsCount` | Reputation signals | | `address`, `latitude`, `longitude` | Location | | `hours` | Opening hours (when available) | | `placeUrl`, `searchQuery`, `scannedAt` | Provenance | ### Input | Field | Description | |-------|-------------| | `searchQueries` | Location + niche to watch, e.g. `["plumbers in London"]`. Keep stable across runs. | | `emit` | `new` (only new since last run, default) or `all` (full pull, each flagged new/known) | | `maxResults` | Businesses scanned per query each run (default 20, up to 500) | | `watchlistId` | Optional fixed name to preserve memory even if you tweak the queries | | `minRating` / `requireWebsite` / `requirePhone` | Quality filters | | `includeReviews` | Attach up to 5 recent reviews per place | | `resetWatchlist` | Wipe memory and re-baseline | #### Run it on a schedule Use Apify Schedules to run the actor daily or weekly with `emit: "new"`. Each scheduled run delivers only the fresh leads. Keep `searchQueries` (or `watchlistId`) identical between runs so the monitor stays consistent. ### How memory works Each unique combination of queries (or your `watchlistId`) has its own private memory, stored in your Apify account and persisted across runs. Your watchlists are yours; nothing is shared. ### Related actors Building a local + business lead pipeline? Pair this with **Google Maps Scraper: B2B Leads & Scoring** for full one-shot pulls, and the **App Store / Google Play Reviews** scrapers for reputation intelligence. ### Notes Public Google Maps data only. No login, no personal data beyond what a business publicly lists. Runs on Apify's proxy out of the box. # Actor input Schema ## `searchQueries` (type: `array`): Location + niche to monitor (e.g. 'plumbers in London', 'coffee shops in Austin'). Keep these stable across runs so the monitor can tell what is new. ## `emit` (type: `string`): 'Only new since last run' = monitor mode (fresh leads only). 'All matches' = full pull, each flagged as new or known. ## `maxResults` (type: `integer`): How many businesses to scan per query each run (up to 500) ## `watchlistId` (type: `string`): Give this watchlist a fixed name to keep its memory even if you tweak the queries. Leave blank to derive it automatically from the queries. ## `language` (type: `string`): Language for results ## `minRating` (type: `number`): Only return businesses with rating >= this value (0 = no filter) ## `requireWebsite` (type: `boolean`): Skip businesses without a website ## `requirePhone` (type: `boolean`): Skip businesses without a phone number ## `includeReviews` (type: `boolean`): Scrape up to 5 most recent reviews per place (slower) ## `resetWatchlist` (type: `boolean`): Wipe this watchlist's memory and treat every current match as new (re-baseline) ## `proxyConfiguration` (type: `object`): Proxy settings ## Actor input object example ```json { "searchQueries": [ "coffee shops in Austin" ], "emit": "new", "maxResults": 20, "language": "en", "minRating": 0, "requireWebsite": false, "requirePhone": false, "includeReviews": false, "resetWatchlist": false, "proxyConfiguration": { "useApifyProxy": 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 = { "searchQueries": [ "coffee shops in Austin" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("obsidian937/google-maps-watchlist").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"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("obsidian937/google-maps-watchlist").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" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call obsidian937/google-maps-watchlist --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=obsidian937/google-maps-watchlist", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Maps Monitor: New Business & Fresh Local Leads", "description": "Track a location + niche and get only the NEW businesses since your last run. Fresh local leads with phone, website, guessed emails, rating and lead score. Delta monitor, CRM-ready JSON, pay per result.", "version": "1.0", "x-build-id": "Wc3JTestP9bCdqwpN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/obsidian937~google-maps-watchlist/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-obsidian937-google-maps-watchlist", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/obsidian937~google-maps-watchlist/runs": { "post": { "operationId": "runs-sync-obsidian937-google-maps-watchlist", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/obsidian937~google-maps-watchlist/run-sync": { "post": { "operationId": "run-sync-obsidian937-google-maps-watchlist", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchQueries": { "title": "Watchlist queries", "type": "array", "description": "Location + niche to monitor (e.g. 'plumbers in London', 'coffee shops in Austin'). Keep these stable across runs so the monitor can tell what is new.", "items": { "type": "string" } }, "emit": { "title": "What to return", "enum": [ "new", "all" ], "type": "string", "description": "'Only new since last run' = monitor mode (fresh leads only). 'All matches' = full pull, each flagged as new or known.", "default": "new" }, "maxResults": { "title": "Max businesses scanned per query", "minimum": 1, "maximum": 500, "type": "integer", "description": "How many businesses to scan per query each run (up to 500)", "default": 20 }, "watchlistId": { "title": "Watchlist ID (optional)", "type": "string", "description": "Give this watchlist a fixed name to keep its memory even if you tweak the queries. Leave blank to derive it automatically from the queries." }, "language": { "title": "Language", "enum": [ "en", "fr", "de", "es", "it", "nl", "pt", "pl" ], "type": "string", "description": "Language for results", "default": "en" }, "minRating": { "title": "Minimum rating filter", "minimum": 0, "maximum": 5, "type": "number", "description": "Only return businesses with rating >= this value (0 = no filter)", "default": 0 }, "requireWebsite": { "title": "Require website", "type": "boolean", "description": "Skip businesses without a website", "default": false }, "requirePhone": { "title": "Require phone number", "type": "boolean", "description": "Skip businesses without a phone number", "default": false }, "includeReviews": { "title": "Include recent reviews", "type": "boolean", "description": "Scrape up to 5 most recent reviews per place (slower)", "default": false }, "resetWatchlist": { "title": "Reset watchlist memory", "type": "boolean", "description": "Wipe this watchlist's memory and treat every current match as new (re-baseline)", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings" } } }, "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 } } } } } } } } } } ```