How to Use Google Maps Scraper to Extract Data (2026 Guide)

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What is Google Maps Scraper?

Extract business data from Google Maps including names, addresses, phone numbers, reviews, and ratings. Perfect for B2B lead generation.

The Google Maps Scraper is the most comprehensive data extraction tool for local business intelligence and B2B lead generation. It allows you to scrape complete profiles from Google Maps, including verified phone numbers, website URLs, email addresses (when available on websites), operating hours, popular times, high-resolution photos, and detailed customer reviews. Whether you are building targeted sales lists, conducting competitor analysis, or tracking local market trends, this tool provides clean, structured data at scale. It bypasses Google's anti-scraping protections automatically and supports detailed search filters like location, business category, and minimum rating.

Key Features

Extract up to 500 businesses per search term
Get phone numbers, emails, and social media links
Download complete customer reviews with ratings and text
Filter by specific geographic polygon or radius
Filter by minimum star rating
Extract 'Popular Times' histogram data
Automatic pagination handling
Proxy rotation to prevent blocking
Export directly to Excel spreadsheets or CRM systems

How to Extract Data (Step by Step)

Extracting data using the Google Maps Scraper is incredibly straightforward. It runs entirely in the cloud, meaning you don't need to install any desktop software.

Click 'Try for Free' to open the Google Maps scraper on Apify.
Sign up for a free Apify account if you don't have one.
In the input configuration, enter your target search terms (e.g., 'digital agencies in London').
Set the maximum number of results you want to scrape.
Click the 'Start' button and wait for the tool to collect the data.
Download your extracted business data in Excel, CSV, or JSON format.

Ready to start extracting data?

Join thousands of businesses relying on this tool every week.

Run Google Maps Scraper Now

What does the exported data look like?

You can export the results into Excel, CSV, JSON, or HTML. Here is a sample of what the raw JSON data looks like:

{
  "title": "Joe's Coffee Shop",
  "subTitle": "Espresso bar",
  "price": "$$",
  "categoryName": "Cafe",
  "address": "123 Main St, New York, NY 10001",
  "neighborhood": "Manhattan",
  "street": "123 Main St",
  "city": "New York",
  "postalCode": "10001",
  "state": "New York",
  "countryCode": "US",
  "website": "http://www.joescoffee.com",
  "phone": "+1 212-555-0199",
  "phoneUnformatted": "+12125550199",
  "totalScore": 4.8,
  "reviewsCount": 1240,
  "reviews": [...]
}