Google Maps Scraper — Places, Leads & Emails

Google Maps Scraper — Places, Leads & Emails

Google Maps Scraper extracts structured Google Maps records, metadata, metrics, and direct links in real time. Built on a zero-browser HTTP/2 engine running in 256 MB RAM, it delivers normalized datasets with zero null fields ready for CSV, Excel, JSON, or API pipelines.

Looking for related scrapers? Check out Google Autocomplete & SEO Scraper, Google Search Scraper, Google News Scraper, Google Trends Scraper, or browse our full catalog of 118+ dedicated scrapers.

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What does Google Maps Scraper do?

Ultra-fast Google Maps & Places business lead scraper. Extract company names, phone numbers, addresses, websites, star ratings, review co.... Compatible Make.com, Zapier, n8n, Sheets & Webhooks. 256MB RAM & sub-second speed.

Whether you need to monitor Google Maps at scale, enrich B2B/B2C databases, or feed structured records into analytics and AI workflows, Google Maps Scraper handles pagination, field normalization, and schema validation automatically:

• Bulk Data Extraction: Collect Google Maps listings, items, and detailed attributes in batches using keywords, filters, or direct URLs.
• Complete Public Metadata: Capture identifiers, pricing/engagement metrics, author/vendor details, timestamps, and canonical URLs.
• Multi-Format Export: Download results in JSON, CSV, Excel (XLSX), XML, or HTML Table directly from the Apify Console.
• Ready for Automation & AI: Connect seamlessly to Apify Integrations (Make, Zapier, n8n, Google Sheets), REST API endpoints, or the Apify MCP Server.

Beyond the Official Google Maps API

• No API Keys or Approval Delays: Start extracting public Google Maps data immediately without registering developer apps or waiting for quota approvals.
• No Restrictive Rate Quotas: Bypass strict per-minute API limits and expensive enterprise tiers while capturing the complete public data points displayed on Google Maps.
• 256 MB Zero-Browser Architecture: Uses native HTTP/2 and TLS session emulation instead of heavy Chromium instances, executing in seconds at a fraction of standard compute costs.

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What data can you scrape from Google Maps?

Google Maps Scraper extracts the following data points from Google Maps:

📝 Search Queries (searchQueries)	📝 Language (language)	⭐ Min Rating (minRating)
👀 Min Reviews (minReviews)	📝 Title (title)	📅 Category (category)
📍 Address (address)	📧 Phone (phone)	📝 Website (website)
📧 Emails (emails)	📝 Social Media (socialMedia)	⭐ Rating (rating)

Data Category	Extracted Fields & Data Points
Identity & Core Identifiers	title (Title), placeId (Place ID)
Metrics, Pricing & Engagement	minReviews (Min Reviews), reviewsCount (Reviews Count)
Details, Attributes & Context	searchQueries (Search Queries), language (Language), address (Address), phone (Phone), website (Website), emails (Emails)
Direct Links, Media & Timestamps	minRating (Min Rating), category (Category), rating (Rating), latitude (Latitude), googleMapsUrl (Google Maps URL), scrapedAt (Scraped At)

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Why scrape Google Maps? (Typical Use Cases & Guides)

You can use Google Maps Scraper for a wide range of data and business workflows:

• B2B Lead Generation: Source local businesses, plumbers, dentists, restaurants with verified emails and direct phones for outbound outreach.
• Local SEO & Competitor Audits: Track local rankings, rating trends, and review volumes across target postal codes and cities.
• Directory & CRM Enrichment: Feed fresh business records straight into HubSpot, Salesforce, Airtable, or Notion.
• AI Agents, RAG & LLM Knowledge Pipelines: Stream clean, structured Google Maps JSON records into vector databases, Claude, GPT-4, or LangChain workflows.
• Automated BI Dashboards & Scheduled Alerts: Schedule daily or hourly runs and push live Google Maps updates directly to Google Sheets, Looker Studio, Slack, or webhooks.
• Market Research & Competitor Analysis: Benchmark Google Maps offerings, pricing strategies, and market share across regions.
• Lead Generation & CRM Enrichment: Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay.
• AI Agents & RAG Pipelines via MCP: Connect live Google Maps data directly to Claude Desktop, Cursor, or LangChain agents.

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How to scrape Google Maps data

Google Maps Scraper is designed for a zero-configuration start, even if you have never scraped data before:

1. Create a free Apify account using your email (includes $5.00 in free monthly credits).
2. Open Google Maps Scraper and click on the Input tab — all required fields are already pre-filled with a working example.
3. Enter your search terms, target URLs, or filter criteria (or keep the default pre-filled configuration for an instant 1-Click test).
4. Click the green "Start" button and wait a few seconds for the data to be extracted.
5. Download your dataset in JSON, CSV, Excel (XLSX), or HTML, or fetch it via the API tab.

For more technical details on every parameter, check out the Input Schema tab or read the Apify Platform Documentation.

🔗 How to scrape Google Maps by Search Term or Direct URL

Scraping by Search Term / Filter 🔑	Enter keywords, categories, or filter parameters just as you would search on Google Maps. Set the maximum number of items you want to extract and click Start.
Scraping by Direct URL 🔗	Paste one or more direct Google Maps links (or import a list of URLs from a Google Sheet / CSV) to extract targeted item or profile details in bulk.

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⬇️ Input Configuration & Examples

To start scraping Google Maps, fill in the visual input form in the Apify Console or pass a JSON payload via the API. Full technical specifications are available on the Input Schema tab.

Input Parameters Reference

Parameter	Type	Default / Prefill	Description
searchQueries	array	["dentist in New York"]	Local business search queries (e.g. 'dentist in New York', 'plumber in Austin TX', 'Italian restaurants in Paris').
language	string	en	Language for Google Maps results (e.g., 'en', 'fr', 'es', 'de').
minRating	number	0	Filter businesses by minimum Google rating (e.g. 4.0 or 4.5).
minReviews	integer	0	Only keep businesses with at least this number of customer reviews.
skipClosedPlaces	boolean	true	Automatically discard places marked as permanently or temporarily closed on Google Maps.
onlyWithWebsite	boolean	false	Discard places that do not have a public website URL.
onlyWithPhone	boolean	false	Discard places that do not provide a direct telephone number.
categoryFilter	string	—	Optional keyword to filter business categories (e.g., 'Dentist', 'Restaurant', 'Clinic').
extractEmails	boolean	true	Automatically inspect business website homepages to extract contact emails.
extractSocialMedia	boolean	true	Automatically extract direct social media links from the company website.
maxItemsPerQuery	integer	30	Maximum number of places/leads to extract per query.
proxyConfiguration	object	{"useApifyProxy":true}	Select Apify Proxy (Residential or Datacenter) to prevent Google rate limits and IP blocks.

Example 1: Standard Extraction (1-Click Default)

{
  "searchQueries": [
    "dentist in New York"
  ],
  "language": "en",
  "minRating": 0,
  "minReviews": 0
}

Example 2: Filtered & Batch Extraction

{
  "searchQueries": [
    "dentist in New York"
  ],
  "language": "en",
  "minRating": 0,
  "minReviews": 0,
  "skipClosedPlaces": true,
  "onlyWithWebsite": true,
  "onlyWithPhone": true,
  "extractEmails": true,
  "extractSocialMedia": true,
  "maxItemsPerQuery": 60
}

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⬆️ Output Example (Table View, JSON & Fields Reference)

The scraped results are stored in a structured Apify Dataset available in the Storage tab. Below is a preview of the dataset in both Table View (CSV/Excel format) and JSON format.

Table View (CSV / Excel Dataset Preview)

Search Queries	Language	Min Rating	Min Reviews
dentist in New York	en	0	0
dentist in New York	en	1	1
dentist in New York	en	1	1

JSON Output Example

{
  "searchQueries": [
    "dentist in New York"
  ],
  "language": "en",
  "minRating": 0,
  "minReviews": 0
}

Output Fields Reference

Field Name	Type	Description
searchQueries	array	Extracted search queries value.
language	string	Extracted language value.
minRating	number	Extracted min rating value.
minReviews	number	Extracted min reviews value.
title	string	Business or place name
category	string	Primary category (e.g. Dental clinic, Plumber, Restaurant)
address	string	Full street address
phone	string	Business telephone number
website	string	Official company website URL
emails	array	Extracted business email addresses
socialMedia	object	Social media profile links (Facebook, Instagram, LinkedIn, Twitter/X)
rating	number	Average Google star rating (1.0 to 5.0)
reviewsCount	integer / number	Total number of user reviews
isClosed	boolean	Whether the place is permanently or temporarily closed
placeId	string	Google Place ID or unique CID
latitude	number	Geographical latitude coordinate
longitude	number	Geographical longitude coordinate
googleMapsUrl	string	Direct Google Maps place URL
searchQuery	string	Original search keyword
scrapedAt	string	ISO timestamp of extraction

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🔗 Scrape any data you need with dedicated scrapers

Combine Google Maps Scraper with our other dedicated scrapers from @RBBscrap if you want to extract specialized data across platforms:

🔹 Google Autocomplete & SEO Scraper	🔹 Google Search Scraper	🔹 Google News Scraper
🔹 Google Trends Scraper	🔹 Google Play Scraper	🔹 Google Patents Scraper

Scraper	Extracted Data & Primary Use Case
Google Autocomplete & SEO Scraper	Search Ideas
Google Search Scraper	SERP & People Also Ask
Google News Scraper	Global Headlines & PR
Google Trends Scraper	Real
Google Play Scraper	Apps, Installs & Reviews
Google Patents Scraper	Prior Art & Claims

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⚠️ Error Items & Resilience Reference

Google Maps Scraper is engineered to process multi-query and batch runs resiliently without crashing if a single query or URL fails:

Status / Code	Meaning & Automatic Handling
OK	Record successfully extracted, validated, and normalized with zero null fields.
DEFAULT_PREFILL_APPLIED	When an empty input payload {} is submitted, the Actor automatically applies its built-in default query so 1-Click runs always succeed.
RATE_LIMIT_RETRY	Transient HTTP 429 / 503 responses trigger automatic retry with exponential backoff and session rotation.
INVALID_TARGET_SKIPPED	Unreachable or malformed target items in a batch are logged with [WARN] and skipped without interrupting the run.

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❓ Frequently Asked Questions (FAQ)

How much does scraping Google Maps cost?

Google Maps Scraper uses transparent Pay-Per-Event (PAY_PER_EVENT) pricing set 10x cheaper than the market leader ($\div 10$):

• Event Rate: $0.0004 per Scraped Google Maps Scraper Record ($0.4 per 1,000 items).
• 🎁 1st Run 100% FREE: Your very first execution is 100% free ($0.00 event charges are applied on your initial run).
• Apify Free Plan ($5.00/month included): Every Apify account receives $5.00 in free monthly credits, which is enough to extract up to ~12,500 items per month for free.
• View full details on the Pricing tab and the Apify Pricing page.

Can I integrate Google Maps Scraper with Make, Zapier, n8n, or Google Sheets?

Yes. Google Maps Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform, including Make, Zapier, n8n, Slack, Airbyte, Google Sheets, Google Drive, and webhooks.

Can I use Google Maps Scraper with the Apify API (Python & Node.js)?

Yes. The Apify API gives you programmatic access to run Google Maps Scraper, schedule jobs, and fetch datasets. Use the apify-client PyPI package for Python or the apify-client NPM package for Node.js, or check the Apify API Reference:

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run = client.actor("rbbscrap/google-maps-scraper").call(run_input={
    "searchQueries": ["dentist in New York"],
    "language": "en",
    "minRating": 0,
    "minReviews": 0
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('rbbscrap/google-maps-scraper').call({
    searchQueries: ["dentist in New York"],
    language: "en",
    minRating: 0,
    minReviews: 0
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Can I use Google Maps Scraper through an MCP Server (Claude Desktop, Cursor, AI Agents)?

Yes. With the Apify API, you can use Google Maps Scraper in conjunction with an MCP server to connect directly to Claude Desktop, Cursor, Windsurf, or LibreChat. Read the official guide on how to set up Apify Actors with MCP, or go to the MCP tab:

1. Start a Server-Sent Events (SSE) session to receive a sessionId.
2. Send API messages using that sessionId to trigger Google Maps Scraper with your input parameters.
3. Receive structured Google Maps dataset records directly inside your AI agent conversation.

Do I need residential proxies or login cookies to scrape Google Maps?

No. Google Maps Scraper operates on a zero-browser HTTP/2 protocol engine (256 MB RAM) and works out-of-the-box without requiring login cookies or external proxies for standard workloads. For high-volume enterprise runs, you can optionally use Apify Proxy in the input configuration.

Is it legal to scrape data from Google Maps?

Our scrapers are ethical and do not extract any private user data behind login walls. They only extract what is shared publicly on the web. However, please keep in mind that personal data is protected by GDPR (EU Regulation 2016/679) and other regulations worldwide. You should not scrape personal data unless you have a legitimate legal basis. Read more in Apify's guide on the legality of web scraping.

Your feedback & support

We are continuously improving the performance of our Actors. If you have any technical feedback for Google Maps Scraper, need a custom feature, or found a bug, please create an issue on the Actor's Issues tab in the Apify Console.