Enterprise Google Maps Scrapers APIs on Apify (2026)
Extracting POI (Point of Interest) and Local Business data from Google Maps at scale requires complex architectural engineering to bypass the platform's hard 120-result pagination limit per search query.
The Google Maps Scrapers collection on Apify hosts dedicated serverless Actors that use geographic grid partitioning to support high-coverage ingestion for city-wide or nation-wide location targeting.
For hydrating a multi-tenant CRM, geospatial competitive analysis, or routing real-time reviews to a central dashboard, the Apify Store provides the extraction patterns you need.
High-Volume Extraction Actors
1. Google Maps Scraper — 297K users · 4.7 ⭐ · $2.10/1,000 places
Widely used for Maps extraction on Apify. It is designed to work around the 120-result cap by recursively dividing geographic bounds until coverage is complete. Extracts structured JSON arrays of business leads, reviews, Lat/Long coordinates, nested contact info, and operational hours. Deploy Google Maps Scraper on Apify →
2. Google Maps Extractor — 72K users · 4.7 ⭐ · $2.10/1,000 places
A highly optimized alternative offering robust extraction mapping for complex nested objects including popular times histograms, granular pricing tiers, full restaurant menus, and high-resolution photo URLs (crucial for visual modeling). Deploy Google Maps Extractor on Apify →
3. Google Maps Reviews Scraper — 28K users · 4.6 ⭐ · $0.35/1,000 reviews
A localized endpoint explicitly designed for continuous Natural Language Processing (NLP) ingestion. Extract verified text reviews at just $0.35/1K objects. Returns immutable reviewer profiles, epoch timestamps, precise star ratings, and nested owner response strings. Deploy Google Maps Reviews Scraper on Apify →
4. Enrich Google Maps Dataset with Contacts — 1.5K users · 3.1 ⭐ · Pay-per-usage
The secondary "Hydration" node in a two-part pipeline. Once you extract base Google Maps data (which rarely contains verified email addresses), pipe the resulting Website URLs into this crawler to execute deep domain traversal, extracting specific mailto: anchors, LinkedIn endpoints, and corporate Twitter handles.
Deploy Enrich Google Maps Dataset with Contacts on Apify →
Architectural Tiers and Webhooks
Running local Puppeteer scripts against Google Maps often blows up from DOM memory pressure around Google’s WebGL canvas rendering.
On Apify, the same Maps workloads run without those local V8 limits. You can also attach Apify Webhooks to these Actors so that, after a successful extraction (for example a New York restaurant dataset), Apify issues an HTTP POST straight to your PostgreSQL database or AWS Lambda ingestor.
Apify provides $5 in free monthly Serverless compute. Evaluate the Google Maps JSON schema against your native database structure immediately without providing payment credentials.
The Google Maps Scraper utilizes Geographic Grid Partitioning. If you search 'Restaurants in Chicago', Google only renders the top 120. The Apify Actor automatically divides the Chicago polygon map into microscopic quadrants, zooming in iteratively to extract every single endpoint in the database before merging the JSON payload natively.
Google Maps UI does not natively display email addresses. You must deploy a two-stage pipeline: Tool #1 extracts the base business website URL. Tool #2 (the Contact Enricher) crawls that specific domain to extract the raw contact emails and social coordinates.
Data is deposited into an immutable Apify Dataset. You can execute an API call to retrieve the payload natively formatted as JSON, CSV, JSONL, or Excel, fully prepared for immediate CRM ingestion.