How to Scrape Google Maps Data: Free and Easy Method

Google Maps holds data on over 200 million businesses worldwide, and most of it just sits there waiting to be collected. Sales teams, market researchers, and analysts all want this information—but copying it manually is painfully slow.

This guide covers three methods for extracting Google Maps data, along with practical ways to bypass limits and avoid blocks.

What is Google Maps Scraping?

Google Maps scraping pulls business listing data automatically instead of copying it manually.

There are three main methods:

• No-code browser extensions
• Cloud-based scraping platforms
• Custom scripts using Python or Node.js

You can extract publicly visible data such as:

• Business names
• Addresses
• Phone numbers
• Ratings and reviews

Scraping simply automates what you already see.

Why Scrape Data from Google Maps?

Google Maps is one of the largest local business databases.

Lead Generation

Build targeted lists based on:

• Location
• Business type
• Ratings

Market Research

• Analyze competitors
• Identify gaps in local markets

Local SEO Audits

• Check competitor listings
• Validate citations

Real Estate Analysis

• Understand nearby business activity

Manual collection doesn’t scale. Automation does.

What Data Can You Extract?

Data Field	Description
Business Name	Official listing name
Address	Full address
Phone Number	Contact number
Website URL	Business website
Ratings	Average rating
Review Count	Total reviews
Review Text	Customer feedback
Operating Hours	Opening hours
Coordinates	Latitude & longitude
Categories	Business type
Place ID	Unique identifier

Note: Emails are not directly available—they are extracted from websites separately.

Three Ways to Scrape Google Maps Data

1. Browser Extensions (No-Code)

Tools:

• Instant Data Scraper
• G Maps Extractor

Best for:

• Small projects
• Quick data extraction

Limitations:

• Can’t handle large datasets
• Limited to visible results

2. Cloud-Based Platforms

Tools:

• Apify
• Outscraper
• Octoparse

Benefits:

• Handle proxies and CAPTCHAs
• Scalable to large datasets

3. Custom Code

Tools:

• Playwright
• Puppeteer

Best for:

• Developers
• Full customization

Downside:

• Requires maintenance

Step-by-Step: Scrape Google Maps

Step 1: Install Extension

Install from Chrome Web Store:

• Instant Data Scraper
• G Maps Extractor

Step 2: Search Businesses

Example:
coffee shops in Austin, TX

Step 3: Scroll Results

Scroll fully to load all listings.

Step 4: Run Scraper

• Click extension
• Detect data
• Preview results

Step 5: Export Data

Download as:

• CSV
• Excel

Best Tools Comparison

Tool	Type	Free Tier	Best For
Instant Data Scraper	Extension	Yes	Small tasks
G Maps Extractor	Extension	Limited	Email scraping
Outscraper	Cloud	Yes	Scalable scraping
Apify	Cloud	Yes	Large datasets
Octoparse	Desktop/Cloud	Limited	Visual scraping
google-maps-scraper	Open Source	Yes	Developers

How to Bypass 120-Result Limit

Break by Location

Instead of:
restaurants in New York

Use:
restaurants in SoHo

restaurants in 10012

Use Grid Scraping

Divide area into smaller zones.

Use Categories

Instead of:
restaurants

Try:
pizza restaurants

sushi restaurants

Export Formats

• CSV → Universal
• Excel → Structured
• JSON → Developer-friendly

How to Extract Emails

Steps:

1. Extract website URLs
2. Crawl website pages
3. Find emails (Contact/About pages)
4. Validate emails

Using Proxies

To avoid blocking:

• Use rotating proxies
• Use residential IPs

Cloud tools handle this automatically.

Is Scraping Google Maps Legal?

Scraping public business data is generally allowed.

But consider:

• Google Terms of Service
• Avoid personal data
• Follow GDPR
• Commercial use increases risk

When to Use Managed Services

Use them if:

• You need large datasets
• You want regular updates
• You lack technical skills
• Data quality matters

They handle:

• Scraping
• Proxies
• CAPTCHA
• Data cleaning

Conclusion

• Small tasks → use extensions
• Medium/large → use cloud tools
• Enterprise → use managed services

Choose based on your needs.

FAQs

How to scrape a specific location?

Search:
plumbers in 90210

dentists in Chicago

Can I scrape reviews?

Yes, tools allow extracting:

• Review text
• Ratings
• Dates

Why only 120 results?

Google limits results per search.

What if layout changes?

Scrapers may break. Cloud tools fix this automatically.

How to remove duplicates?

Use Place ID to filter duplicates.

Is API better?

Google Places API is reliable but costly at scale.

How to avoid blocks?

• Use proxies
• Add delays
• Mimic human behavior