How to Scrape Google Maps Data Without Code (2025)

Google Maps contains a wealth of valuable business data that can transform your market research, lead generation, and competitive analysis. From business listings and contact information to customer reviews and operating hours, this data holds immense potential for businesses and researchers alike. However, manually collecting this information from hundreds or thousands of locations would take weeks of tedious work.

The good news? You can scrape Google Maps data without writing a single line of code. Webtable is the best no-code option for fast, accurate Google Maps data extraction right in your browser — and it's free to use. It automatically detects business listings, contact details, ratings, and reviews from Google Maps search results, then exports everything to Google Sheets or Excel with one click.

In this comprehensive 2025 guide, you'll learn exactly how to extract valuable data from Google Maps without any coding knowledge. Whether you're building a local business directory, conducting market research, or generating sales leads, this step-by-step tutorial will show you how to turn Google Maps into a powerful data source.

What Data Can You Extract from Google Maps?

Google Maps is essentially a massive business directory with rich, structured data that goes far beyond basic location information. Understanding what data is available will help you plan your scraping strategy and maximize the value of your extraction.

Core Business Listing Information

Every business listing on Google Maps contains fundamental data that forms the foundation of most scraping projects:

• Business Name and Categories — Primary business name, category classifications, and subcategories
• Address Details — Full street address, city, state/province, postal code, and country
• Geographic Coordinates — Latitude and longitude for precise mapping and location analysis
• Contact Information — Phone numbers, website URLs, and email addresses when available
• Operating Hours — Regular business hours, holiday schedules, and special hours

Customer Engagement and Review Data

Google Maps captures extensive customer interaction data that provides valuable insights into business performance:

• Star Ratings — Overall rating from 1-5 stars based on customer reviews
• Review Count — Total number of customer reviews and feedback
• Individual Reviews — Full review text, reviewer names, dates, and individual ratings
• Photo Contributions — Customer-uploaded photos of the business, products, and services
• Response Data — Business owner responses to reviews and customer inquiries

Advanced Business Intelligence

Beyond basic information, Google Maps provides deeper business intelligence:

• Service Offerings — Detailed service menus, pricing information, and product catalogs
• Accessibility Features — Wheelchair accessibility, parking availability, and accommodations
• Payment Methods — Accepted payment types including credit cards, digital wallets, and cash
• Business Attributes — Delivery options, takeout availability, reservations, and online ordering
• Update History — When the business was added and last updated on Google Maps

Local Search and Discovery Data

Google Maps search results provide additional contextual information:

• Search Rankings — How businesses appear in local search results for specific queries
• Popular Times — Historical and real-time busyness data for locations
• Price Range Indicators — Relative cost indicators ($, $$, $$$, $$$$)
• User-Generated Content — Questions and answers from the Google Maps community
• Related Businesses — Cross-referenced similar businesses and competitors

Step-by-Step Guide: Scraping Google Maps with Webtable

Webtable makes Google Maps data extraction remarkably simple. The entire process takes just a few minutes once you have the extension installed. Let's walk through each step in detail.

Step 1: Install Webtable Chrome Extension

Getting started requires just one simple installation:

1. Open Chrome Web Store — Navigate to the Chrome Web Store in your browser

2. Search for Webtable — Type 'Webtable' in the search bar

3. Click Install — Click the 'Add to Chrome' button to install the extension

4. Grant Permissions — Approve any requested permissions for the extension to function

The installation process takes less than 30 seconds, and Webtable works immediately after installation.

Step 2: Navigate to Google Maps and Perform Your Search

Prepare your target data by setting up the right Google Maps search:

Choose Your Search Strategy

Different search approaches yield different types of data:

• Location-Based Search — Search for 'restaurants in New York' to find all restaurants in a specific area
• Category Search — Search for 'plumbers' or 'dentists' to find businesses in a specific industry
• Specific Business Search — Search for 'Starbucks near me' to find chain locations
• Advanced Filters — Use Google Maps filters for ratings, price range, or hours

Optimize Your Search Results

To maximize data quality and completeness:

• Broad vs Narrow Searches — Start with broader searches to capture more data, then filter later
• Location Specificity — Include city names or zip codes for more targeted results
• Language Settings — Ensure Google Maps is set to your preferred language for consistent data
• Result Limits — Google Maps typically shows 20 results per page, plan for pagination

Step 3: Activate Webtable and Scan for Data

With your Google Maps search results loaded, it's time to extract the data:

Launch Webtable

1. Click the Webtable Icon — Look for the Webtable icon in your Chrome toolbar (it may be in the extensions menu)

2. Open Side Panel — Click the icon to open Webtable's side panel interface

3. Verify Page Detection — Webtable should automatically detect that you're on Google Maps

Initiate Data Scanning

1. Click 'Scan' Button — Webtable's primary action button to start data detection

2. Wait for Detection — The extension analyzes the page structure (typically takes 5-10 seconds)

3. Review Detected Tables — Webtable presents all detected data structures in an organized list

Select Your Data Tables

Webtable typically detects multiple data tables on Google Maps results:

• Main Business Listings — Primary search results with business names, addresses, and ratings
• Additional Details — Phone numbers, websites, and hours when expanded
• Review Summaries — Rating averages and review counts
• Photo Galleries — Image URLs and captions

Step 4: Clean and Refine Your Data

Raw Google Maps data often needs cleaning before it's analysis-ready:

Remove Unwanted Data

Webtable's intelligent cleaning features help you focus on valuable data:

• Filter Sponsored Results — Remove paid advertisements and sponsored listings
• Exclude Irrelevant Categories — Filter out businesses that don't match your criteria
• Remove Duplicate Entries — Eliminate duplicate business listings
• Clean Empty Fields — Remove columns or rows with insufficient data

Enhance Data Quality

Improve the usability of your extracted data:

• Standardize Formats — Ensure phone numbers, addresses, and ratings follow consistent formats
• Merge Related Columns — Combine address components into full addresses
• Add Calculated Fields — Create rating categories or distance calculations
• Validate Data Integrity — Check for missing required information

Step 5: Export Your Google Maps Data

Webtable offers multiple export options to fit your workflow:

Primary Export Formats

• Google Sheets — Direct one-click export to Google Sheets (recommended for most users)
• Excel (.xlsx) — Download as Excel spreadsheet for local analysis
• CSV — Comma-separated values for import into other tools
• JSON — Structured data format for developers and advanced analysis

Export Configuration

Optimize your export for maximum utility:

1. Select Export Format — Choose Google Sheets for immediate collaboration

2. Choose Destination — Select existing sheet or create new one

3. Configure Sheet Name — Give your sheet a descriptive name

4. Set Permissions — Ensure team members can access the exported data

Post-Export Processing

After export, you may want to:

• Sort and Filter — Organize data by rating, location, or category
• Create Pivot Tables — Summarize data by business type or location
• Add Formulas — Calculate distances, averages, or rankings
• Share with Team — Grant access to colleagues for collaborative analysis

Alternative Methods for Google Maps Data Extraction

While Webtable offers the most straightforward approach, several alternative methods exist for extracting Google Maps data. Understanding these options helps you choose the best tool for your specific needs.

Other No-Code Chrome Extensions

DataMiner

A popular alternative with different strengths:

• Template Library — Pre-built templates for common websites including Google Maps
• Advanced Filtering — More sophisticated data filtering and cleaning options
• API Integration — Connects with Zapier and other automation tools
• Pricing — Free basic version with premium features starting at $20/month

Instant Data Scraper

Simple and free alternative focusing on basic extraction:

• Zero Cost — Completely free with no usage limits
• Basic Functionality — Simple point-and-click data selection
• Limited Features — Fewer cleaning and export options
• Learning Curve — Minimal setup but less automation

Google Maps Platform APIs (Requires Coding)

For developers, Google's official APIs provide structured access:

• Places API — Official access to business listing data
• Geocoding API — Convert addresses to coordinates and vice versa
• Structured Data — Clean, reliable data with usage quotas
• Cost — Pay-per-use pricing starting at $0.0168 per request

Manual Data Collection Methods

Traditional approaches for small-scale data collection:

• Copy and Paste — Manual copying of individual business information
• Spreadsheet Entry — Typing data directly into Excel or Google Sheets
• Screenshot Methods — Capturing images and manually transcribing data
• Crowdsourcing — Distributing data collection tasks to multiple people

Why Webtable Stands Out

“ Webtable combines the simplicity of no-code tools with the intelligence of advanced scraping technology, making Google Maps data extraction accessible to everyone. ”

What makes Webtable the superior choice for most users:

• Intelligent Detection — Automatically finds and structures Google Maps data without manual selection
• One-Click Export — Direct Google Sheets integration eliminates format conversion steps
• Smart Cleaning — Automatically removes duplicates, ads, and irrelevant data
• Free Unlimited Use — No usage limits or premium feature gates
• Real-Time Processing — Handles dynamic Google Maps content that breaks other tools

Real-World Use Cases for Google Maps Data

Google Maps data serves diverse business and research applications across multiple industries. Understanding these use cases helps you extract the most relevant data for your specific needs.

Local Business Market Research

Analyze local markets and competitive landscapes:

• Competitor Analysis — Map all competitors in your service area
• Market Saturation — Identify underserved locations and market gaps
• Pricing Research — Compare pricing across similar businesses
• Service Gap Analysis — Find unmet customer needs in your area

Lead Generation and Sales Prospecting

Build targeted prospect lists for sales and marketing:

• B2B Prospecting — Find businesses in specific industries or locations
• Local Service Providers — Build databases of plumbers, electricians, or contractors
• Franchise Opportunities — Identify potential franchise locations
• Partnership Opportunities — Find complementary businesses for collaboration

Real Estate and Property Analysis

Support property investment and development decisions:

• Commercial Property Analysis — Assess business density and foot traffic
• Location Scoring — Evaluate property locations based on surrounding businesses
• Demographic Insights — Understand local business ecosystems
• Development Planning — Identify optimal locations for new developments

Academic and Research Applications

Support academic research and data analysis:

• Urban Planning Studies — Analyze business distribution patterns
• Economic Research — Study local economic indicators through business data
• Geographic Analysis — Map business types and distributions
• Social Science Research — Study community characteristics through local businesses

E-commerce and Retail Analysis

Optimize retail strategies and operations:

• Store Location Planning — Identify optimal locations for new stores
• Competitive Intelligence — Monitor competitor store openings and closings
• Customer Behavior Analysis — Understand local shopping patterns
• Supply Chain Optimization — Optimize delivery routes and logistics

Best Practices for Google Maps Data Scraping

Successful Google Maps scraping requires attention to technical, legal, and ethical considerations. Following these best practices ensures reliable results and compliance.

Technical Optimization Strategies

Search Query Optimization

Craft searches that maximize data quality:

• Specific Location Terms — Include city names, neighborhoods, or zip codes
• Category Specificity — Use precise categories like 'Italian restaurants' instead of 'food'
• Filter Application — Apply Google Maps filters before scraping for cleaner data
• Result Verification — Cross-check results with known businesses for accuracy

Rate Limiting and Pacing

Avoid triggering Google's anti-scraping measures:

• Request Spacing — Wait 2-3 seconds between searches to avoid rate limiting
• Session Management — Use different browser sessions for large data collection projects
• IP Rotation — Consider VPN services for extensive scraping projects
• Time Distribution — Spread scraping activities across different times and days

Data Quality and Validation

Data Cleaning Techniques

Ensure your extracted data is accurate and usable:

• Duplicate Removal — Identify and eliminate duplicate business listings
• Address Standardization — Format addresses consistently for analysis
• Contact Validation — Verify phone numbers and email addresses
• Category Consistency — Ensure business categories are standardized

Data Enrichment Strategies

Add value to your basic Google Maps data:

• Geocoding Enhancement — Add precise coordinates for mapping applications
• Category Classification — Create standardized business categories
• Review Sentiment Analysis — Analyze review text for sentiment insights
• Competitor Proximity — Calculate distances to nearby competitors

Legal and Ethical Considerations

Compliance Requirements

Ensure your scraping activities remain legal:

• Terms of Service Review — Understand Google Maps' usage policies
• Data Usage Rights — Only use data for legitimate business purposes
• Privacy Protection — Avoid collecting personal data without consent
• Attribution Requirements — Provide proper credit when publishing data

Ethical Scraping Practices

Maintain responsible data collection practices:

• Reasonable Volume Limits — Don't overwhelm Google Maps servers
• Data Minimization — Only collect data you actually need
• Transparency — Be clear about data sources when sharing information
• Regular Policy Review — Stay updated on changing terms and regulations

Common Challenges and Solutions

Even with the best tools, Google Maps scraping can present challenges. Here's how to address the most common issues.

Dynamic Content Loading

Google Maps loads content dynamically as you scroll:

• Solution: Use Webtable's pagination support to capture all results
• Alternative: Scroll through all results before scanning
• Prevention: Start with focused searches to limit result volume

Inconsistent Data Formats

Business information appears in different formats:

• Solution: Use Webtable's data cleaning features to standardize formats
• Alternative: Post-process data in Google Sheets with formulas
• Prevention: Focus on consistent data types within each scraping project

Rate Limiting and Blocks

Google may temporarily block excessive requests:

• Solution: Space out your scraping activities over time
• Alternative: Use different IP addresses or VPN services
• Prevention: Start with smaller data collection projects

Incomplete Business Profiles

Some businesses have minimal information listed:

• Solution: Cross-reference with other data sources for complete profiles
• Alternative: Focus on businesses with complete information
• Prevention: Set minimum data requirements before starting large projects

Future of Google Maps Data Extraction

As Google continues to evolve Google Maps, scraping technologies must adapt. Understanding these trends helps you prepare for future changes.

Evolving Google Maps Features

New features create new data opportunities:

• Live Data Integration — Real-time updates for business hours and availability
• Enhanced Reviews — More detailed review systems and verification
• AI-Powered Insights — Google Maps may add AI-generated business insights
• Sustainability Data — Environmental impact information for businesses

Technological Advancements

Scraping technology continues to improve:

• AI-Powered Detection — Machine learning improves data recognition accuracy
• Real-Time Processing — Instant data extraction from dynamic content
• Multi-Platform Support — Extract data from mobile apps and websites
• Automated Workflows — End-to-end data collection and processing

Regulatory Landscape Changes

Evolving privacy and data regulations impact scraping:

• GDPR and CCPA Compliance — Stricter data protection requirements
• API-Only Access — Potential restrictions on direct website scraping
• Consent Requirements — New requirements for data collection
• Transparency Mandates — Requirements to disclose automated data collection

Conclusion: Unlock Google Maps Data Power

Google Maps represents one of the most comprehensive sources of business data available on the internet. From local restaurant listings to national retail chains, the platform contains valuable information that can drive business decisions, market research, and competitive analysis.

Webtable transforms this data treasure trove into actionable insights without requiring any coding knowledge. Its intelligent detection, automatic cleaning, and one-click export capabilities make Google Maps data extraction accessible to business professionals, researchers, and analysts of all technical backgrounds.

Whether you're conducting local market research, building prospect lists, or analyzing competitive landscapes, Google Maps data provides the foundation for data-driven decisions. With Webtable, you can access this valuable resource quickly, efficiently, and ethically.

Ready to turn Google Maps into your data source? Install the Webtable Chrome extension today and start extracting valuable business intelligence in minutes. The local data advantage that was once limited to large corporations is now available to businesses and researchers everywhere.

Remember to always scrape responsibly, respect website terms of service, and use the data ethically for legitimate business purposes. When used properly, Google Maps scraping with Webtable becomes a powerful tool in your data analysis toolkit.