# Tomato Cart Maps Intelligence – Full Toolkit，100/mo free (`tomato_cart/maps-intelligence`) Actor Full‑city Google Maps scanning with change detection, competitor analysis, and professional reports. Monitors new, closed, and changed places. Built‑in manufacturing, retail, healthcare, services & B2B presets. Exports Excel + PDF. The all‑in‑one business intelligence toolkit.100/m free. - **URL**: https://apify.com/tomato\_cart/maps-intelligence.md - **Developed by:** [Richard](https://apify.com/tomato_cart) (community) - **Categories:** Agents, Automation, Developer tools - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.49 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 undefined # Actor input Schema ## `searchTerm` (type: `string`): Keyword to search for. Example: pizza, restaurant, manufacturer. ## `location` (type: `string`): City or area. Example: Austin, TX; New York, NY; London, UK ## `bounds` (type: `string`): Override location with custom bounds: north,south,east,west ## `preset` (type: `string`): Quick preset that populates search terms and filters. ## `maxResultsPerGrid` (type: `integer`): Saturation threshold per grid cell. Higher = less subdivision. ## `maxSubdivisionDepth` (type: `integer`): How many times to subdivide. 1=no subdivision, 4=up to 256 cells. ## `minRating` (type: `number`): Only include places with rating >= this value (0=no filter). ## `skipClosedPlaces` (type: `boolean`): Exclude permanently closed businesses. ## `maxRunSeconds` (type: `integer`): Maximum seconds before actor saves partial results and stops. ## `enableChangeDetection` (type: `boolean`): Compare with previous snapshot and output new/closed/changed places. ## `scheduleCron` (type: `string`): Optional cron expression for manual scheduler setup. ## `webhookUrl` (type: `string`): URL to receive POST notification when run completes. ## `competitorAnalysis` (type: `boolean`): Find competitors around a target place. ## `targetPlaceId` (type: `string`): Google Maps place ID of the target business. ## `targetPlaceUrl` (type: `string`): Google Maps URL of the target business (alternative to place ID). ## `competitorRadiusKm` (type: `integer`): Radius to search for competitors around the target. ## `maxCompetitors` (type: `integer`): Maximum number of competitors to return. ## `generateReport` (type: `boolean`): Create Excel and/or PDF report after scanning. ## `reportFormat` (type: `string`): Format(s) for the generated report. ## Actor input object example ```json { "searchTerm": "pizza", "location": "Austin, TX", "bounds": "", "preset": "none", "maxResultsPerGrid": 100, "maxSubdivisionDepth": 4, "minRating": 0, "skipClosedPlaces": false, "maxRunSeconds": 360, "enableChangeDetection": false, "scheduleCron": "", "webhookUrl": "", "competitorAnalysis": false, "targetPlaceId": "", "targetPlaceUrl": "", "competitorRadiusKm": 2, "maxCompetitors": 20, "generateReport": false, "reportFormat": "both" } ```` # 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 = { "searchTerm": "pizza", "location": "Austin, TX" }; // Run the Actor and wait for it to finish const run = await client.actor("tomato_cart/maps-intelligence").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 = { "searchTerm": "pizza", "location": "Austin, TX", } # Run the Actor and wait for it to finish run = client.actor("tomato_cart/maps-intelligence").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 '{ "searchTerm": "pizza", "location": "Austin, TX" }' | apify call tomato_cart/maps-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tomato_cart/maps-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tomato Cart Maps Intelligence – Full Toolkit，100/mo free", "description": "Full‑city Google Maps scanning with change detection, competitor analysis, and professional reports. Monitors new, closed, and changed places. Built‑in manufacturing, retail, healthcare, services & B2B presets. Exports Excel + PDF. The all‑in‑one business intelligence toolkit.100/m free.", "version": "0.4", "x-build-id": "Jlr3fC6ObgacVbgYb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tomato_cart~maps-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tomato_cart-maps-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tomato_cart~maps-intelligence/runs": { "post": { "operationId": "runs-sync-tomato_cart-maps-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tomato_cart~maps-intelligence/run-sync": { "post": { "operationId": "run-sync-tomato_cart-maps-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "location" ], "properties": { "searchTerm": { "title": "Search Term (Search)", "type": "string", "description": "Keyword to search for. Example: pizza, restaurant, manufacturer." }, "location": { "title": "Location (Search) (Required)", "type": "string", "description": "City or area. Example: Austin, TX; New York, NY; London, UK" }, "bounds": { "title": "Custom Bounds (Search)", "type": "string", "description": "Override location with custom bounds: north,south,east,west", "default": "" }, "preset": { "title": "Industry Preset (Search)", "enum": [ "none", "restaurants", "healthcare", "retail", "services", "b2b", "manufacturing" ], "type": "string", "description": "Quick preset that populates search terms and filters.", "default": "none" }, "maxResultsPerGrid": { "title": "Max Results Per Grid Cell (Search)", "minimum": 10, "maximum": 500, "type": "integer", "description": "Saturation threshold per grid cell. Higher = less subdivision.", "default": 100 }, "maxSubdivisionDepth": { "title": "Max Subdivision Depth (Search)", "minimum": 1, "maximum": 6, "type": "integer", "description": "How many times to subdivide. 1=no subdivision, 4=up to 256 cells.", "default": 4 }, "minRating": { "title": "Minimum Rating (Filter)", "minimum": 0, "maximum": 5, "type": "number", "description": "Only include places with rating >= this value (0=no filter).", "default": 0 }, "skipClosedPlaces": { "title": "Skip Closed Places (Filter)", "type": "boolean", "description": "Exclude permanently closed businesses.", "default": false }, "maxRunSeconds": { "title": "Max Run Time (Advanced)", "minimum": 30, "maximum": 900, "type": "integer", "description": "Maximum seconds before actor saves partial results and stops.", "default": 360 }, "enableChangeDetection": { "title": "Enable Change Detection (Change Detection)", "type": "boolean", "description": "Compare with previous snapshot and output new/closed/changed places.", "default": false }, "scheduleCron": { "title": "Schedule Cron (Scheduling)", "type": "string", "description": "Optional cron expression for manual scheduler setup.", "default": "" }, "webhookUrl": { "title": "Webhook URL (Scheduling)", "type": "string", "description": "URL to receive POST notification when run completes.", "default": "" }, "competitorAnalysis": { "title": "Enable Competitor Analysis (Competitor Analysis)", "type": "boolean", "description": "Find competitors around a target place.", "default": false }, "targetPlaceId": { "title": "Target Place ID (Competitor Analysis)", "type": "string", "description": "Google Maps place ID of the target business.", "default": "" }, "targetPlaceUrl": { "title": "Target Place URL (Competitor Analysis)", "type": "string", "description": "Google Maps URL of the target business (alternative to place ID).", "default": "" }, "competitorRadiusKm": { "title": "Search Radius km (Competitor Analysis)", "minimum": 1, "maximum": 10, "type": "integer", "description": "Radius to search for competitors around the target.", "default": 2 }, "maxCompetitors": { "title": "Max Competitors (Competitor Analysis)", "minimum": 5, "maximum": 30, "type": "integer", "description": "Maximum number of competitors to return.", "default": 20 }, "generateReport": { "title": "Generate Report (Report)", "type": "boolean", "description": "Create Excel and/or PDF report after scanning.", "default": false }, "reportFormat": { "title": "Report Format (Report)", "enum": [ "excel", "pdf", "both" ], "type": "string", "description": "Format(s) for the generated report.", "default": "both" } } }, "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 } } } } } } } } } } ```