Google Maps Lead Monitor
Pricing
Pay per event
Collect ONLY NEW Google Maps business leads on every run — no duplicates, no waste, just high-value prospects you can use immediately for outreach or CRM workflows.
Pricing
Pay per event
Rating
0.0
(0)
Developer
Hayder Al-Khalissi
Actor stats
0
Bookmarked
6
Total users
4
Monthly active users
2 days ago
Last modified
Categories
Share
You can access the Google Maps Lead Monitor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "hmOEDIir3Y8FM5p4q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/quantifiable_bouquet~google-maps-lead-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-quantifiable_bouquet-google-maps-lead-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/quantifiable_bouquet~google-maps-lead-monitor/runs": { "post": { "operationId": "runs-sync-quantifiable_bouquet-google-maps-lead-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/quantifiable_bouquet~google-maps-lead-monitor/run-sync": { "post": { "operationId": "run-sync-quantifiable_bouquet-google-maps-lead-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Search Queries", "type": "array", "description": "Array of search terms to scrape (e.g., ['restaurant', 'cafe'])", "default": [ "restaurant" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Location to search in (e.g., 'New York, NY')" }, "categories": { "title": "Categories", "type": "array", "description": "Google Maps categories to filter results", "items": { "type": "string" } }, "targetCategory": { "title": "Target category (for opportunity score)", "type": "string", "description": "Optional. When set, places whose category contains this text get +1 on opportunityScore (e.g. 'restaurant')." }, "customGeolocation": { "title": "Custom Geolocation", "type": "object", "description": "Define a custom area to search: Point (circle), Polygon, or MultiPolygon. When set, search runs inside this area instead of using the Location text field.", "properties": { "type": { "title": "Type", "type": "string", "description": "Point = circle around a center. Polygon = single closed shape. MultiPolygon = multiple shapes.", "enum": [ "Point", "Polygon", "MultiPolygon" ], "default": "Point", "editor": "select" }, "latitude": { "title": "Latitude (Point)", "type": "number", "description": "Center latitude for Point type (-90 to 90).", "minimum": -90, "maximum": 90, "editor": "number" }, "longitude": { "title": "Longitude (Point)", "type": "number", "description": "Center longitude for Point type (-180 to 180).", "minimum": -180, "maximum": 180, "editor": "number" }, "radiusKm": { "title": "Radius (km)", "type": "number", "description": "For Point: search radius in kilometers. Ignored for Polygon/MultiPolygon.", "default": 5, "minimum": 0.1, "maximum": 200, "editor": "number" }, "coordinatesJson": { "title": "Coordinates (Polygon / MultiPolygon)", "type": "string", "description": "GeoJSON coordinates as JSON. Polygon: [[lng,lat],[lng,lat],...] — close the ring (first point = last). MultiPolygon: [[[lng,lat],[lng,lat],...],...]. Example: [[-0.32,51.59],[-0.31,51.38],[0.06,51.39],[0.05,51.60],[-0.32,51.59]]", "editor": "textarea" } } }, "maxResults": { "title": "Max Results (alias for Max Places)", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of places to scrape. Same as 'maxPlaces' — use either field.", "default": 100 }, "maxPlaces": { "title": "Maximum Places to Scrape", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Stop after scraping this many valid places. If both maxPlaces and maxResults are set, the lower value is used.", "default": 100 }, "maxCrawledPlacesPerSearch": { "title": "Max Places Per Search", "minimum": 1, "type": "integer", "description": "Maximum places to crawl per search query" }, "leadMode": { "title": "Lead mode", "type": "boolean", "description": "One toggle for lead generation: enables place details, contacts, and enrichment; keeps reviews off to save cost. When on, you get phone/website and derived fields (hasPhone, opportunityScore, etc.) without enabling each option separately.", "default": true }, "includeReviews": { "title": "Include Reviews", "type": "boolean", "description": "Extract reviews for each place (review text, rating, author, date). Requires includePlaceDetails. Increases collection of personal data (review text, reviewer names, etc.).", "default": false }, "includeImages": { "title": "Include Images", "type": "boolean", "description": "Extract images for each place", "default": false }, "includeContacts": { "title": "Include Contacts", "type": "boolean", "description": "Enrich with contact information (e.g. from website). Increases collection of personal data.", "default": false }, "includePlaceDetails": { "title": "Include Place Details", "type": "boolean", "description": "Visit each place's detail page and extract phone, website, coordinates, and categories from embedded page data. Also enables review extraction when includeReviews is true. Slower but more complete.", "default": false }, "includeEnrichment": { "title": "Include Enrichment", "type": "boolean", "description": "Enable additional data enrichment", "default": false }, "includeReviewerNames": { "title": "Include Reviewer Names", "type": "boolean", "description": "If false, reviewer name is omitted or anonymized in output (reviews and reviews-flat views). Use for privacy-friendly runs.", "default": true }, "minimalLogging": { "title": "Minimal Logging", "type": "boolean", "description": "When true, info-level logs avoid place titles, full addresses, and full URLs (only counts and non-PII identifiers). Full details only in debug or verbose logging; may log PII when disabled.", "default": false }, "enableCaching": { "title": "Enable Caching", "type": "boolean", "description": "Enable smart caching to avoid re-scraping unchanged places", "default": true }, "incrementalUpdate": { "title": "Incremental Update", "type": "boolean", "description": "Only scrape places that have changed since last run", "default": false }, "streamResults": { "title": "Stream Results", "type": "boolean", "description": "Stream results in real-time as they are collected", "default": false }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum concurrent requests", "default": 10 }, "rateLimit": { "title": "Rate Limit Mode", "enum": [ "adaptive", "conservative", "moderate", "aggressive" ], "type": "string", "description": "Rate limiting strategy", "default": "adaptive" }, "placeIds": { "title": "Place IDs", "type": "array", "description": "Direct Google Maps Place IDs to scrape", "items": { "type": "string" } }, "placeUrls": { "title": "Place URLs", "type": "array", "description": "Direct Google Maps URLs to scrape", "items": { "type": "string" } }, "exportFormat": { "title": "Export Format", "enum": [ "json", "csv", "excel" ], "type": "string", "description": "Output format for exports", "default": "json" }, "compressOutput": { "title": "Compress Output", "type": "boolean", "description": "Compress output files", "default": false }, "saveSearchResults": { "title": "Save Search Results", "type": "boolean", "description": "Save all places extracted from the search list (before maxPlaces limit) to dataset 'search-results'. Use for later runs: feed placeUrls from that dataset to get details for all of them.", "default": false }, "useProxy": { "title": "Use Proxy", "type": "boolean", "description": "Use Apify Proxy for Google Maps requests (recommended to avoid blocks)", "default": false }, "navigationTimeout": { "title": "Navigation Timeout (seconds)", "minimum": 10, "maximum": 300, "type": "integer", "description": "Max time in seconds to wait for a Google Maps page to load. Increase if you see 'Navigation timed out' errors. Default is 90.", "default": 90 }, "detailsConcurrency": { "title": "Detail pages concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "When place details are enabled (leadMode/includePlaceDetails): max concurrent detail-page requests. Default 2 to avoid CPU overload.", "default": 2 }, "maxDetailsToFetch": { "title": "Max detail pages to fetch", "minimum": 1, "maximum": 1000, "type": "integer", "description": "When place details are enabled: cap how many place detail pages to fetch. Defaults to maxPlaces." }, "runMode": { "title": "Run Mode", "enum": [ "fresh", "incremental" ], "type": "string", "description": "fresh = new scan (outputs all). incremental = skip places seen in previous runs and only output new/updated.", "default": "fresh" }, "stateKey": { "title": "State Key (KVS record name)", "type": "string", "description": "Name of the KVS record where the Actor stores seen places between runs.", "default": "places-state" }, "resetState": { "title": "Reset Stored State", "type": "boolean", "description": "If true, clears stored places-state before running (forces a fresh baseline).", "default": false }, "dedupeStrategy": { "title": "Dedupe Strategy", "enum": [ "placeId", "hash" ], "type": "string", "description": "Use placeId if available; otherwise use a stable hash of key fields.", "default": "placeId" }, "detectUpdates": { "title": "Detect Updates (incremental only)", "type": "boolean", "description": "If true in incremental mode, emit UPDATED places when key fields changed since last run.", "default": true }, "updateFields": { "title": "Fields Used to Detect Updates", "type": "array", "description": "Compare these fields to decide whether a place is updated.", "items": { "type": "string" }, "default": [ "title", "address", "rating", "reviewsCount", "phone", "website", "categoryName", "openingHours" ] }, "n8nEvent": { "title": "n8n Event Payload", "type": "object", "description": "Raw n8n workflow event (e.g. from HTTP Request/Webhook). When set, custom fields are mapped to actor input and full attribution is stored." }, "n8nFieldMapping": { "title": "n8n Field Mapping", "type": "object", "description": "Map n8n payload keys to canonical input (e.g. {\"query\": \"searchQueries\", \"city\": \"location\", \"limit\": \"maxPlaces\"})." }, "n8nPromptMaxBytes": { "title": "n8n Prompt Hash Max Bytes", "type": "integer", "description": "Max bytes of prompt string to include in SHA-256 hash (default 10 KB).", "default": 10240 }, "n8nLateEventThresholdSeconds": { "title": "n8n Late Event Threshold (seconds)", "type": "integer", "description": "Events older than this many seconds are marked as late (default 300 = 5 min).", "default": 300 }, "n8nPromptField": { "title": "n8n Prompt Field Name", "type": "string", "description": "Payload key used for prompt hashing when not using search query.", "default": "prompt" }, "openClaw": { "title": "OpenClaw Integration", "type": "object", "description": "Send scraped places to an OpenClaw gateway. Uses bounded concurrency (configurable). Token can be set via input or OPENCLAW_GATEWAY_TOKEN env.", "properties": { "enabled": { "title": "Enabled", "type": "boolean", "default": false, "description": "Enable sending places to OpenClaw." }, "gatewayUrl": { "title": "Gateway URL", "type": "string", "description": "OpenClaw gateway base URL (e.g. https://gateway.example.com:18789)." }, "token": { "title": "Token", "type": "string", "description": "Bearer token for gateway auth. Falls back to OPENCLAW_GATEWAY_TOKEN env." }, "agentId": { "title": "Agent ID", "type": "string", "default": "main", "description": "Target agent id (x-openclaw-agent-id)." }, "concurrency": { "title": "Concurrency", "type": "integer", "default": 5, "minimum": 1, "maximum": 20, "description": "Max concurrent outbound requests to OpenClaw." }, "sendMode": { "title": "Send Mode", "type": "string", "enum": [ "perPlace", "batch" ], "default": "perPlace", "description": "perPlace: one request per place. batch: group places into single requests." }, "batchSize": { "title": "Batch Size", "type": "integer", "default": 10, "minimum": 1, "description": "Places per batch when sendMode is batch." }, "api": { "title": "API", "type": "string", "enum": [ "responses", "chatCompletions" ], "default": "responses", "description": "OpenResponses (/v1/responses) or OpenAI-compatible (/v1/chat/completions)." } } } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Google Maps Lead Monitor from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: