How to Scrape Google Maps: Complete Guide for 2026

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Google Maps is a goldmine of business data. With 2.2 billion active users worldwide and over 40 million verified businesses listed (with 1.2 million new listings added monthly), it’s the perfect source for lead generation, market research, and competitive analysis. In this comprehensive guide, we’ll show you how to extract this data efficiently and ethically.

What Data Can You Extract from Google Maps?

Before diving into the technical how-to, let’s look at the valuable data points you can collect from a standard Google Maps listing. The depth of information available publicly is staggering.

• Business Names - The exact registered company or establishment name.
• Addresses - Full street addresses, including city, state, postal code, and country.
• Phone Numbers - Direct contact numbers for sales, support, or general inquiries.
• Websites - The official company website URLs, which can be further scraped for emails.
• Email Addresses - Direct contact emails (usually extracted by cross-referencing their official website).
• Operating Hours - Daily opening and closing times, including holiday variations.
• Star Ratings - The average aggregate customer rating (from 1 to 5 stars).
• Review Count - Total number of customer reviews left by users.
• Review Text - The actual textual feedback provided by customers (great for sentiment analysis).
• Categories - The primary and secondary business type and industry classification.
• Photos - Links to business images and high-resolution user-submitted photos.
• Price Range - The $ to $$$$ pricing indicator, showing relative affordability.
• Coordinates - Exact Latitude and Longitude for mapping visualization.

Why Scrape Google Maps?

Understanding the why is just as important as the how. Here are the top reasons professionals rely on Google Maps data:

2026 Google Maps Statistics:

• 93% of consumers use Google Maps to search for local businesses.
• 80% of local searches lead to a physical visit within 24 hours.
• Businesses with complete, rich profiles get 7x more clicks.
• 70% of consumers visit a business solely based on information found in Maps.

1. B2B Lead Generation

Build highly targeted prospect lists for sales outreach. Instead of buying outdated lists, you can get verified phone numbers, websites, and physical addresses for businesses in any specific industry or location right now. For example, you can search for “plumbers in Chicago” to immediately build a local outreach campaign.

2. Market Research and Competitor Analysis

Analyze competitor locations, their aggregate ratings, and customer feedback. Understand market saturation in specific regions and identify geographic opportunities where demand outstrips supply. By extracting competitor reviews, you can identify their exact weaknesses and capitalize on them.

3. Local SEO Monitoring

Track your own business listings and compare them with top-ranking competitors in the Local Pack. Monitor incoming reviews, track keyword rankings based on location, and ensure your NAP (Name, Address, Phone) consistency across the region.

4. Niche Directory Creation

Build niche directories for specific industries. For example, you could scrape data on “vegan restaurants in London” to build a specialized dining guide, creating valuable resources for a specific audience.

The No-Code Solution: Using a Ready-Made Scraper

The easiest, fastest, and most scalable way to extract Google Maps data is by using a pre-built actor like the Google Maps Scraper. It bypasses Google’s dynamic UI loading and rate limits without you needing to write a single line of Python or JavaScript.

Step 1: Choose Your Search Query

Think about the exact business archetype you want to find. Be specific to yield better localized results:

• “Italian restaurants in Downtown Dubai”
• “B2B SaaS companies in Riyadh”
• “Emergency dentists near me”

Step 2: Configure the Scraper on Apify

Navigate to the scraper console and set your parameters:

• Search Terms: The queries you decided on in Step 1.
• Maximum Results: Limit the extraction (e.g., to the first 200 businesses) to control costs and time.
• Language and Location Filters: Ensure the extracted data matches your target demographic.
• Deep Scraping: Toggle settings to extract detailed reviews and high-resolution popular photos if necessary.

Step 3: Run and Export

Click the “Start” button. The scraper will launch an automated browser, navigate Google Maps, and systematically scroll and extract the data points. Once finished, you can export the clean dataset in multiple formats:

• Excel (.xlsx) - Perfect for non-technical users and direct CRM imports.
• CSV - Universal compatibility for databases and mailing tools.
• JSON - Ideal for developers integrating the data directly into custom applications.

Best Practices for Google Maps Scraping

While scraping is incredibly powerful, it’s vital to follow industry best practices to ensure longevity and ethical operation:

Respect Rate Limits and Use Proxies

Google actively monitors traffic to prevent bot abuse. If you are building a custom scraper in Python (e.g., using Selenium or Playwright), you must use high-quality residential rotating proxies and implement human-like delays. Using a managed tool like the Google Maps Scraper handles this automatically for you.

Verify Data Quality Before Outreach

Always validate the extracted data. Phone numbers can be outdated, and generic emails (like info@company.com) have lower conversion rates. Process your exported CSV through an email verification tool before initiating any cold email marketing campaigns.

Stay Legal and Ethical

Only collect publicly available information. Google Maps is a public directory, making business data extraction generally safe, but avoid aggressive crawling that disrupts service. Use the data for legitimate purposes like lead generation, B2B sales, and market research. Spam, harassment, and selling raw data without added value are strictly discouraged.

Export Format Comparison

Depending on your technical expertise, choosing the right export format is key:

Format	Best For	Pros	Cons
Excel	Business teams and Sales	Easy to view, edit, and apply formulas immediately.	Can become sluggish with over 500,000 rows.
CSV	Database import operations	Universal format supported by every CRM (HubSpot, Salesforce).	Lacks formatting and styling.
JSON	Software Developers	Highly structured, perfect for nested data (like arrays of reviews).	Not easily readable by non-technical users.
XML	Legacy Integrations	Standardized format useful for enterprise data pipelines.	Highly verbose and large file sizes.

Conclusion

Scraping Google Maps in 2026 remains one of the highest-ROI activities for B2B sales teams and market researchers. By leveraging no-code tools like the Google Maps Scraper, you can bypass technical hurdles, avoid being blocked by Google, and focus entirely on analyzing the data and closing deals.

Remember to always extract responsibly, clean your data before outreach, and use the insights to build better business relationships. Happy harvesting!

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Have more complex data needs? Explore our full directory of Apify Actors for specialized extraction tools.