Google Maps Scraping: Complete 2025 Guide to Extract Business Data & Generate Leads

Google Maps holds 200 million+ businesses across 4,000 categories. Manually copying contact info from listings? That's 10+ hours per 100 leads.

Google Maps scraping automates this. You specify a business type and location, then extract names, phone numbers, emails, websites, ratings, reviews, and more—in minutes, not days.

This guide covers what you can actually extract, 5 methods to do it, legal realities, and which approach fits your workflow.

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What Is Google Maps Scraping?

Google Maps scraping means automating data collection from Google Maps listings. Instead of clicking through 500 bakery listings and copy-pasting contact info, you run a scraper and get a CSV file with all the data.

The technique works because Google Maps is a public directory. You're not hacking anything. You're extracting information that anyone with a browser can see.

Common use cases:

• Lead generation: Find all plumbers in Denver with 4+ star ratings
• Market research: Analyze competitor locations, pricing, review patterns
• Sales prospecting: Build targeted lists for outbound campaigns
• Reputation monitoring: Track businesses with low ratings in your category
• Expansion planning: Identify underserved areas with few competitors

The difference between manual work and scraping: a sales team can gather 50 leads in 8 hours. A scraper gets 5,000 in 2 minutes.

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What Data Can You Extract from Google Maps?

Google Maps listings contain two layers of data: on-page and off-page.

On-Page Data (Directly from Google Maps)

This is what you see on every business listing:

• Business name and primary category
• Full address (street, city, postal code, country)
• Phone number
• Website URL
• Google Maps link and Place ID
• Rating (1-5 stars) and review count
• Operating hours (including holidays)
• Service options (delivery, dine-in, takeout, etc.)
• Price range indicator ($ to $$$$)
• Photos (number and links)
• GPS coordinates (latitude/longitude)
• Claimed status (whether owner verified the listing)

Off-Page Data (From Business Websites)

Advanced scrapers dig into the business website and extract:

• Email addresses (from contact pages, footers, forms)
• Social media profiles (Facebook, Instagram, LinkedIn, TikTok)
• Website technologies (WordPress, Shopify, HubSpot, Google Analytics, etc.)
• Meta titles and descriptions (SEO signals)
• Contact forms (presence/absence)
• Ad pixels (Facebook Pixel, Google Analytics 4, LinkedIn Insight Tag)

Example: You scrape a dentist's Google Maps listing and get their phone and address. The scraper also visits their website and finds their email, Instagram handle, and the fact they use HubSpot—valuable intel for personalization.

Exclusive Data: Google Maps Reviews

Some advanced tools also scrape the review section itself:

• Review text (full comment)
• Star rating (1-5)
• Reviewer name and profile
• Review date
• Response from business owner (if any)

This is powerful for reputation analysis. You can identify businesses with 100+ reviews but a 2.8-star average—potential clients for reputation management services.

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Why Google Maps Is Perfect for Lead Generation

Three structural reasons make Google Maps the best source for B2B and local B2C lead generation.

1. It's a Comprehensive, Categorized Database

Google Maps covers 200+ million businesses organized into 4,000+ categories. This isn't a partial list. It's nearly every registered local business on Earth.

You're not guessing who exists or hunting through fragmented sources. Google Maps is the canonical directory.

Practical impact: Want all restaurants in Paris? 2,847 results. All SEO agencies in London? 342 results. All dentists in New York State? 18,904 results. The data is there, categorized, filterable.

Compare this to LinkedIn, where you'd need to manually search profiles, or a Chamber of Commerce directory, which is often outdated.

2. Global Availability and Consistency

Google Maps operates in 195 countries with consistent data structure. Whether you're scraping businesses in Brazil, Japan, or Germany, the data fields remain the same.

This means:

• No language barriers: Category names are standardized
• No fragmented sources: One source, not 50 different directories
• Scalability: The same scraping method works worldwide

A lead generation agency can build a single workflow and deploy it across 15 countries without rewriting code.

3. Public Access (No Login Required)

Unlike LinkedIn, Facebook, or Instagram, Google Maps doesn't require authentication. You don't need an account to see business listings.

This matters because:

• No account suspension risk: Social platforms ban scrapers. Google Maps treats scraping as acceptable if done respectfully.
• No rate-limiting per account: You're not limited by "X posts per day per account"
• No endless account creation: You don't need to create 100 accounts to scale

This is why scraping Google Maps is viable at scale, while scraping LinkedIn or Instagram is a constant cat-and-mouse game.

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Five Methods to Scrape Google Maps (Compared)

You have options. Here's what each method offers and what it costs.

Method 1: No-Code Platforms (Recommended for Most Users)

What it is: A web app where you log in, specify a business type + location, apply filters, and export to CSV.

How it works:

1. Search for a category (e.g., "plumbers")
2. Choose a geographic area (city, region, or country)
3. Apply filters (rating, review count, claimed status, website required, etc.)
4. Click "Export"
5. Download CSV with all data

Pros: - Zero technical knowledge required - Instant results (2-5 seconds for most searches) - Advanced filtering built-in - Automatic email extraction from websites - Technology detection (WordPress, Shopify, HubSpot, etc.) - Includes Google Maps reviews (if tool supports it) - No IP blocking risk

Cons: - Monthly credit cost (typically €44-€449/month depending on volume) - Data is pre-indexed (updated monthly, not real-time) - Limited customization of output columns

Best for: Sales teams, marketing agencies, small business owners, anyone without developer resources.

Cost range: €44-€449/month for 10,000-100,000 leads/month.

Method 2: Python Scraping (DIY, For Developers)

What it is: Write custom Python code using libraries like Selenium, BeautifulSoup, or Playwright to automate data extraction.

How it works:

1. Write a script that opens Google Maps in a headless browser
2. Automate searches for your target category + location
3. Parse the HTML to extract business data
4. Save to CSV/database

Example libraries: - Selenium: Browser automation, handles JavaScript - BeautifulSoup: HTML parsing - Playwright: Modern alternative to Selenium - Requests: Simple HTTP requests

Pros: - Full control over what data you extract - No monthly subscription (one-time setup cost) - Customizable to your exact needs - Can run on your own servers

Cons: - Requires coding knowledge (intermediate Python) - Google frequently changes their HTML structure (breaks scripts) - IP blocking risk (Google detects bot traffic) - Requires proxies for large-scale scraping - Maintenance burden (fix code when Google updates) - Rate-limiting (Google throttles repeated requests) - No built-in email extraction from websites - Legal/ToS gray area

Best for: Developers with specific, one-off needs; teams with in-house technical capacity.

Cost range: €0 (labor only) + proxy costs (€50-€500/month for large operations).

Reality check: Building a robust Python scraper takes 40+ hours. Maintaining it as Google changes their platform takes 5+ hours/month. Most teams find this ROI-negative after month 2.

Method 3: Chrome Extensions

What it is: A browser plugin that adds a "scrape this page" button to Google Maps.

How it works:

1. Install extension from Chrome Web Store
2. Open Google Maps, search for your category
3. Click the extension button
4. Data downloads as CSV

Popular options: Maps Scraper, Google Maps Scraper, Data Miner

Pros: - Extremely easy (literally 2 clicks) - Usually free - No setup required

Cons: - Uses your own IP address (you get blocked, your browser gets blocked) - Limited data extraction (basic fields only) - Can't scale beyond 100-200 leads without being detected - No email extraction from websites - No review scraping - No filtering options - Slow (manual process for each search)

Best for: Testing if scraping is worth your time; extracting 20-50 leads for a specific neighborhood.

Cost range: Free to €50/year.

Honest assessment: Chrome extensions work for micro-scale needs. Scale them to 1,000 leads and Google will block your IP. Not suitable for professional lead generation.

Method 4: Automation Platforms (Phantom Buster, Zapier)

What it is: Automation-as-a-service platforms that run pre-built "recipes" for Google Maps scraping.

How Phantom Buster works:

1. Choose the "Google Maps Scraper" recipe
2. Input a Google Maps URL (e.g., search results page)
3. Set parameters (number of results, filters)
4. Run the automation
5. Get CSV output

Pros: - No coding required - Reliable execution - Handles some proxy rotation

Cons: - Pricing is per execution time, not per result - Hard to predict cost per lead (might be €0.10/lead or €1.00/lead depending on page load time) - Limited filtering options - No email extraction - Slower than dedicated scrapers - Can be expensive at scale

Best for: One-off projects; teams already using Phantom Buster for other automations.

Cost range: €10-€50 per execution + subscription. For 1,000 leads, expect €100-€300.

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Method 5: Octoparse (Visual Web Scraper)

What it is: A drag-and-drop web scraper where you visually select data elements instead of writing code.

How it works:

1. Open Octoparse
2. Load Google Maps
3. Click the data you want (name, phone, address)
4. Octoparse learns the pattern
5. Set it to loop through all results
6. Export CSV

Pros: - Easier than Python, harder than Chrome extension - Visual interface (no coding) - Customizable workflows - Can handle JavaScript-heavy pages

Cons: - Steep learning curve (XPath, regex, loops) - Limited email extraction capabilities - No built-in review scraping - IP blocking risk (uses your IP or basic proxy) - Requires maintenance as Google updates - Slower than dedicated platforms

Best for: Technical non-programmers; one-off projects with custom data needs.

Cost range: €179-€199/month subscription + setup time.

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Comparison Table: Which Method Is Right for You?

Method	Ease	Speed	Scale	Cost	Email Extraction	Reviews	Best For
No-Code Platform	⭐⭐⭐⭐⭐	⭐⭐⭐⭐⭐	⭐⭐⭐⭐⭐	€44-€449/mo	✅ Yes	✅ Yes	Teams, agencies
Python	⭐⭐	⭐⭐⭐⭐	⭐⭐⭐⭐	€0 + proxies	✅ Custom	❌ No	Developers
Chrome Extension	⭐⭐⭐⭐⭐	⭐⭐	⭐	Free	❌ No	❌ No	Testing
Phantom Buster	⭐⭐⭐⭐	⭐⭐⭐	⭐⭐	€10-€50/run	⚠️ Limited	❌ No	One-offs
Octoparse	⭐⭐⭐	⭐⭐⭐	⭐⭐⭐	€179-€199/mo	⚠️ Limited	❌ No	Custom needs

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How to Extract Google Maps Data: Step-by-Step

Here's the practical workflow using a no-code platform (the most common approach).

Step 1: Define Your Target

Before scraping, answer three questions:

1. What category? (e.g., "dentists", "Italian restaurants", "SEO agencies") - Most platforms support 4,000+ categories - Be specific (not "restaurants" but "pizza restaurants")

2. What geography? (e.g., "Austin, TX" or "all of France") - City-level searches: 50-2,000 results - Country-level searches: 10,000-500,000 results

3. What filters? (e.g., "4+ stars", "has website", "claimed listing") - This determines lead quality

Example target: All dentists in Los Angeles with 4+ star ratings and a website.

Step 2: Set Up Filters for Lead Quality

Don't scrape everything. Use filters to get qualified leads.

Essential filters:

• Rating minimum: Exclude businesses below 3.5 stars (low quality)
• Review count minimum: 10+ reviews (established business, not new)
• Has website: Indicates professional operation
• Has phone number: Essential for outreach
• Claimed listing: Owner verified the listing (more legitimate)

Advanced filters (if available):

• Price range: Match your target (luxury vs. budget)
• Business status: Exclude closed/permanently closed
• Specific services: Filter by amenities (e.g., "accepts insurance")

Impact: Filtering reduces results by 30-70% but improves lead quality by 3-5x.

Step 3: Preview Results

Before exporting, check the result count. This tells you:

• If your search is too broad (10,000+ results = refine)
• If your search is too narrow (0-5 results = expand)
• If filters are working (results dropped 50%+ = filters active)

Target range: 50-5,000 results per search (manageable for outreach).

Step 4: Export to CSV/Excel

Click "Export" and choose your format:

• CSV: Universal, opens in Excel, Google Sheets, any database
• Excel: Formatted, easier to share
• Direct integration: Some platforms push directly to HubSpot, Salesforce, etc.

Columns you'll get:

Column	Example
Business Name	"John's Dental Practice"
Address	"123 Main St, Los Angeles, CA 90001"
Phone	"+1-213-555-0123"
Website	"johnsdental.com"
Email	"[email protected]"
Rating	4.8
Review Count	247
Google Maps URL	https://maps.google.com/?cid=...
Claimed	Yes
Hours	"Mon-Fri 9am-6pm, Sat 10am-2pm"

Step 5: Clean & Validate Data

Before using the list:

1. Remove duplicates (same phone number, different name = likely duplicate)
2. Verify emails (optional: use an email validation tool)
3. Check for closed businesses (filter should catch these, but double-check)
4. Sort by rating (if quality is priority, start with 4.5+ stars)

Time investment: 30 minutes per 1,000 leads.

Step 6: Import to Your CRM or Email Tool

If you're doing outreach:

1. Import to HubSpot/Salesforce: Create new contacts
2. Import to email tool (Lemlist, Instantly, Apollo): Add to campaign
3. Import to Google Sheets: Manual follow-up

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What You Can Actually Extract: Real Example

Here's what a typical export looks like (12 columns, 5 sample records):

Name,Address,Phone,Website,Email,Rating,Reviews,Claimed,Hours,Category,Technologies,Google Maps URL

"Smile Dental Studio","456 Oak Ave, Austin TX 78701","+1-512-555-0145","smiledental.com","[email protected]",4.9,182,Yes,"Mon-Fri 8am-5pm, Sat 9am-1pm","Dentist","WordPress, Google Analytics, Facebook Pixel","https://maps.google.com/?cid=123456"

"Advanced Orthodontics","789 Elm St, Austin TX 78702","+1-512-555-0189","advortho.com","[email protected]",4.6,95,Yes,"Mon-Fri 9am-6pm, Sat 10am-3pm","Orthodontist","Shopify, HubSpot, LinkedIn Ads","https://maps.google.com/?cid=789012"

"Bright Smile Clinic","321 Maple Dr, Austin TX 78703","+1-512-555-0167","brightsmileclinic.com","[email protected]",4.2,43,No,"Mon-Fri 8:30am-5:30pm","Dental Clinic","WordPress, Google Analytics","https://maps.google.com/?cid=345678"

"Emergency Dental Care","654 Pine Ln, Austin TX 78704","+1-512-555-0134","emergencydental24.com","[email protected]",3.9,28,Yes,"24/7","Emergency Dentistry","Wix, Facebook Pixel","https://maps.google.com/?cid=567890"

"Pediatric Dentistry Plus","987 Birch Rd, Austin TX 78705","+1-512-555-0156","peddental.com","[email protected]",4.7,156,Yes,"Mon-Fri 8am-5pm, Sat 9am-12pm","Pediatric Dentist","Squarespace, Google Analytics, HubSpot","https://maps.google.com/?cid=234567"

Key insights from this data:

• All 5 have websites and emails (filters worked)
• Ratings range 3.9-4.9 (quality variation)
• Review counts: 28-182 (engagement varies)
• Some use HubSpot (potential upsell for CRM vendors)
• All have Google Analytics (potential upsell for SEO/analytics agencies)

This is actionable lead data. You can now:

• Call each business (phone is there)
• Email personalized outreach (email