Extract All Businesses from a City on Google Maps: Complete Guide

You need contact details for every business in your city. Not just restaurants. Not just plumbers. All of them.

The old way? Run 50+ separate searches, one category at a time. Spend 3 hours. Get incomplete data.

There's a better way. Extract thousands of businesses in minutes — with filters applied, duplicates removed, and emails included.

This guide shows you exactly how.

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The Problem: Why Category-by-Category Scraping Fails

Google Maps contains over 4,000 business categories. That's not a feature. That's a problem.

Let's say you sell security systems. Your customers aren't just "restaurants." They're restaurants, beauty salons, retail stores, offices, warehouses, gyms, hotels, medical clinics — any business with property to protect.

The traditional approach: - Search "restaurants" in your city → export - Search "beauty salons" → export - Search "retail stores" → export - Repeat 47 more times - Spend 4+ hours - Still miss categories you didn't think of - End up with duplicate contacts across exports

What you actually need: - One search: "all businesses in this city" - Apply filters once - Export everything - Done in 5 minutes

The difference between incomplete data and complete data isn't just better results — it's a different business.

Why This Matters for Lead Generation

When you run category-specific searches, you're working with a partial market view. You see 20% of your addressable market, think you've covered everything, and miss 80%.

Your competitor who extracts all businesses? They see the full picture. They find prospects in categories they never considered. They close deals you didn't know existed.

This isn't about having more data. It's about having complete data.

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What Data Can You Extract from Google Maps?

Before we dive into the how, let's clarify the what. Modern Google Maps data extraction tools capture:

Core contact information: - Business name - Full address (street, city, postal code, country) - Phone number - Email address (enriched from website) - Website URL

Business profile data: - Google Maps categories - Google rating (0-5 stars) - Number of reviews - Business hours - Number of photos

Advanced data (tool-dependent): - Full review text, dates, and author names - Website technologies in use (WordPress, Shopify, etc.) - Social media profiles - Google Place ID and CID - GPS coordinates - Whether the business claims its listing

Compliance data (France only): - SIRET/SIREN numbers - Business legal structure - Business owner name - Creation date

The specific fields depend on your tool. Cheaper tools give you basics (name, address, phone). Better tools include emails, reviews, and technology detection.

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The Two Main Methods for Extracting Businesses

Method 1: Category-Specific Extraction (Traditional)

How it works: 1. Choose a category (e.g., "plumbers") 2. Choose a location (city, region, or country) 3. Apply filters (rating, phone number, website, etc.) 4. Export to CSV/Excel 5. Repeat for next category

Pros: - Simple to understand - Works for niche targeting - Good for studying one industry

Cons: - Takes hours for full market coverage - You miss categories you didn't search for - Creates duplicates (same business in multiple categories) - Incomplete market picture - Inefficient for broad prospecting

Best for: Studying one specific industry (e.g., all dental clinics in Paris).

Time cost: 3-6 hours for complete city coverage.

Method 2: All-Business Extraction (Modern)

How it works: 1. Select a city (or region, or entire country) 2. Leave category blank (or select "all businesses") 3. Apply filters 4. Export everything in one search 5. Done

Pros: - Complete market coverage in minutes - No category gaps - No duplicates - Finds prospects in unexpected categories - 10x faster than category-specific method

Cons: - Larger file sizes (can be 10,000+ rows for a city) - Requires more powerful filtering to narrow down results - Need a tool that supports this feature (not all do)

Best for: Broad prospecting, market analysis, finding all decision-makers in a region.

Time cost: 3-5 minutes for complete city coverage.

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Step-by-Step: How to Extract All Businesses from a City

Here's the exact process for all-business extraction. This example uses a modern tool with full geographic coverage.

Step 1: Choose Your Geographic Area

Most tools let you search at three levels:

City level (most common) - Example: "Nashville, Tennessee" - Returns: 12,000-50,000 businesses (depends on city size) - Time: 2-3 minutes

Region/State level (broader) - Example: "California, USA" - Returns: 500,000+ businesses - Time: 5-10 minutes - File size: Large (1GB+)

Country level (comprehensive) - Example: "France" - Returns: 2,000,000+ businesses - Time: 15-30 minutes - File size: Very large (5GB+)

Most users start with city-level extraction. It's manageable, fast, and gives you actionable data.

Step 2: Leave the Category Field Blank

This is the critical step. Instead of selecting "restaurants" or "plumbers," leave the category filter empty or select "all categories."

The tool now searches for every business in that geographic area, regardless of category.

Step 3: Apply Filters Before Export

This is where you save time and money. Filter before you export, not after.

Common filters:

Filter	Use Case	Impact
Has email address	Only contact businesses with email	Reduces results by 30-40%
Has phone number	Only contact businesses with phone	Reduces results by 10-20%
Has website	Target businesses with online presence	Reduces results by 40-50%
Rating ≥ 3.5 stars	Avoid poorly-rated businesses	Reduces results by 20-30%
Claimed listing	Business actively manages their Google page	Reduces results by 50-60%
Number of reviews ≥ 10	Target established businesses	Reduces results by 60-70%
Specific technologies	Find WordPress sites, Shopify stores, etc.	Reduces results by 80-90%+

Example: Extract all businesses in Austin, Texas with: - Email address ✓ - Rating ≥ 4.0 stars ✓ - Claimed listing ✓

Result: 5,000 high-quality leads instead of 50,000 random ones.

Step 4: Preview Results Before Committing

Good tools show you a preview: "Your search will return 8,347 results. This will cost 8,347 credits."

Check this number. If it's too high, add more filters. If it's too low, remove filters.

Step 5: Export and Choose Format

Export options typically include:

• CSV (opens in Excel, universal format)
• JSON (for APIs and integrations)
• Google Sheets (direct integration)
• Zapier/Make.com (automation tools)
• CRM integration (HubSpot, Salesforce, etc.)

Most users choose CSV. It's compatible with every tool.

Step 6: Open and Use Your Data

Your export contains columns like:

Business Name | Address | Phone | Email | Website | Rating | Reviews | Categories

Now you have options: - Import to your CRM - Use for cold email campaigns - Analyze market saturation - Identify prospects with bad reviews - Find businesses using specific tools

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Practical Example: Extracting Plumber Prospects in Nashville

Let's walk through a real scenario.

Goal: Find all service-based businesses in Nashville, Tennessee that might need plumbing services.

Traditional method: 1. Search "plumbers" → 200 results 2. Search "home services" → 150 results 3. Search "property management" → 80 results 4. Search "real estate agencies" → 120 results 5. Search "hotels" → 40 results 6. Search "restaurants" → 300 results 7. Search "fitness centers" → 35 results 8. Search "offices" → 500 results 9. Continue for 40+ more categories 10. Manually remove duplicates 11. Total time: 5-6 hours 12. Result: Incomplete list, missed categories

All-business method: 1. Select Nashville, Tennessee 2. Leave category blank 3. Apply filters: - Has phone number ✓ - Has email ✓ - Claimed listing ✓ 4. Export 5. Total time: 3 minutes 6. Result: 8,000+ complete leads, no duplicates, high quality

The second approach finds businesses in every relevant category automatically. You don't need to think about categories — the tool handles it.

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Advanced Filtering: Get Exactly What You Need

Raw all-business extracts are powerful but messy. You might get 12,000 results when you only want 2,000 high-quality leads.

This is where filtering saves you money and time.

Filter by Reviews and Ratings

Use case: Find businesses with poor online reputation.

If you sell reputation management services, you want to find businesses with: - Rating < 3.0 stars - Number of reviews > 5 (established, but struggling)

This identifies real problems worth solving, not new businesses with no reviews yet.

In data: Filter for rating < 3.0 AND reviews > 5

Filter by Business Type (Technology)

Use case: Find WordPress sites that need SEO help.

If you're an SEO agency, you want prospects using: - WordPress (most common CMS) - No Google Analytics (missing basic tracking) - No schema markup (SEO opportunity)

Tools that detect 160+ technologies let you filter by these. You find prospects with specific problems you can solve.

Filter by Claimed vs. Unclaimed Listings

Use case: Find businesses neglecting their Google presence.

Businesses with unclaimed listings: - Don't actively manage their Google page - Might be less tech-savvy - Often have outdated information - Are easier to convert to paid services

Filter for claimed = false to find these prospects.

Filter by Email Availability

Use case: Prepare for cold email campaigns.

If you're running email outreach, you need: - Email address ✓ - Phone number ✓ (backup contact method)

Filter for has_email = true AND has_phone = true

This reduces your 8,000-result export to 3,000 actionable leads you can actually contact.

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Legal and Ethical Considerations

Before you start extracting, understand the rules.

Is It Legal to Scrape Google Maps?

Short answer: Yes, in most jurisdictions.

Long answer: You can legally extract publicly available business information (name, address, phone, email, rating, hours). This data is: - Published by the business owner - Visible to anyone on Google Maps - Not protected by copyright - Treated as public information

What you cannot do: - Scrape private user reviews or comments - Extract personal data (employee names, IDs) - Violate Google's Terms of Service (some methods do) - Sell the data to third parties without consent

GDPR Compliance (Europe)

If you're in the EU or targeting EU businesses: - You can extract business contact info - You cannot extract personal data (employee emails, names) - You must have a lawful basis for processing (legitimate business interest) - You must respect opt-out requests

Most legitimate tools handle this automatically.

Google's Terms of Service

Google technically prohibits scraping in its ToS. However: - They don't enforce this against legitimate business data extraction - They do enforce it against high-volume automated scraping - Using a professional tool (not a bot) is safer

Best practice: Use a tool that respects rate limits and doesn't overload Google's servers.

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Common Mistakes to Avoid

Mistake 1: Not Filtering Before Export

You extract all 15,000 businesses in a city, then manually filter in Excel. This wastes time and money (you paid for 15,000 credits).

Better: Filter first, export second. Reduce 15,000 results to 3,000 high-quality leads before exporting.

Mistake 2: Forgetting About Duplicates

If you extract by category, the same business appears multiple times (it's listed in multiple categories).

Better: Use tools that automatically deduplicate. Or use all-business extraction (no duplicates by definition).

Mistake 3: Not Updating Old Extracts

Google Maps data changes constantly. Businesses close, move, change phone numbers. Your 6-month-old export is 20% outdated.

Better: Extract fresh data quarterly. Many tools let you see what's changed since your last export.

Mistake 4: Using Free Tools That Limit Results

Many free scrapers cap results at 100-200 per search. You think you've covered your market. You haven't.

Better: Use a tool that lets you extract thousands in one search.

Mistake 5: Not Enriching with Email Addresses

Phone numbers alone are weak. Email addresses are 3x more effective for outreach.

Better: Choose a tool that enriches contact data with emails extracted from websites.

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Tools for Extracting Businesses from Google Maps

There are three categories of tools:

Category 1: Free Browser Extensions

Examples: Maps Scraper Chrome extension, Google Maps Scraper (GitHub)

Pros: - Free or $5-10 one-time - No signup required - Works directly in your browser

Cons: - Limited to 100-500 results per search - No filtering - Slow (manual clicks) - No email enrichment - Unreliable (Google blocks them often)

Best for: Testing, small local searches only.

Time cost: 30-60 minutes per search.

Category 2: Mid-Range Tools

Examples: Apify, Outscraper, Maps Scraper Pro

Pros: - More reliable than free extensions - Support for larger extracts (1,000-10,000) - Basic filtering - Some email enrichment

Cons: - $50-150/month - Slower processing - Limited geographic coverage - Fewer advanced filters - No technology detection

Best for: Occasional users, small businesses.

Cost: $50-150/month

Category 3: Professional Platforms

Examples: IBLead, IBLead, Apollo.io

Pros: - Fast extraction (seconds, not hours) - Unlimited results (1,000-100,000+) - Advanced filtering (rating, reviews, tech stack, SIRET) - Email enrichment included - Review scraping - Technology detection (160+ tools) - API access - 24/7 support

Cons: - $35-500/month (depends on volume) - Requires account setup

Best for: Serious prospecting, agencies, scalable lead generation.

Cost: €44-250/month for most users

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How IBLead Simplifies All-Business Extraction

If you're extracting thousands of businesses, the right tool makes a huge difference.

IBLead is built specifically for this task. Here's how it works:

1. One-Click All-Business Search

Select a city, region, or country. Leave the category blank. That's it.

No need to run 50 separate searches. One search returns all businesses in your area.

2. Powerful Filtering Built In

Before you export, filter by: - Rating and reviews: Find businesses with 3.5+ stars, or find the struggling ones with <3 stars - Contact info: Only export businesses with email, phone, or website - Claimed listings: Target businesses actively managing their Google presence - Technology stack: Find WordPress sites, Shopify stores, HubSpot users, etc. (160+ technologies detected) - SIRET/SIREN (France): Match to official business registry data automatically

Apply filters, see the result count update in real-time, then export only what you need.

3. Review Scraping (Exclusive)

IBLead scrapes the actual review text, not just the rating. You see: - Full review content - Star rating - Review date - Author name

Use case: Find businesses with specific problems mentioned in reviews. If reviews mention "slow service," you can pitch a scheduling tool.

4. Email Enrichment Included

Most tools give you phone numbers. IBLead enriches every business with an email address extracted from their website.

You get a complete contact profile, not just a phone number.

5. Affordable Pricing

Plan	Credits/month	Price
Free	5,000	€0 (test)
Starter	10,000	€44/month
Pro	20,000	€89/month
Business	40,000	€179/month

All features (filtering, reviews, tech detection, email enrichment) are included in every paid plan. No feature gating.

Compare this to competitors who lock advanced filtering behind $199+ plans. IBLead includes everything at €44/month.

6. One-Time Setup, Reusable Exports

Extract all businesses in Paris once. Save the export. Use it for: - Cold email campaigns - CRM import - Market analysis - Competitor research - Technology stack studies

Update quarterly as data changes.

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Step-by-Step: Using IBLead for All-Business Extraction

Here's exactly how to do it in IBLead:

Step 1: Go to app.iblead.com and sign up (free, Free plan — no credit card required).

Step 2: Click "New Search" and select your location: - City: "Paris, France" - Or Region: "Île-de-France" - Or Country: "France"

Step 3: Leave the category field empty (or select "All Categories").

Step 4: Apply filters: - Has email? Yes - Rating ≥ 3.5 stars? Yes - Claimed listing? Yes - Any specific technologies? (optional)

Step 5: Click "Preview" to see results.

The tool shows: "Your search will return 5,247 results. This will cost 5,247 credits."

Step 6: Click "Export to CSV" (or integrate with your CRM).

Step 7: Download and use immediately.

Total time: 3-5 minutes. You now have 5,000+ high-quality leads with emails, phone numbers, ratings, and review data.

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Analyzing Your Extracted Data

Once you have your export, what do you do with it?

Use Case 1: Cold Email Campaign

Import your 5,000 leads into Lemlist, Instantly, or Apollo.io. Send personalized emails mentioning their business name, rating, or specific reviews.

Example: "Hi [Name], I noticed your business has great reviews (4.2 stars) but you're not using Google Analytics yet. We help businesses like yours track customer behavior and increase conversions by 20%."

Use Case 2: Market Analysis

Analyze the data in Excel: - How many businesses have email addresses? (conversion potential) - What's the average rating? (market health) - Which categories are most common? (market demand) - How many use WordPress? (SEO opportunity)

Use Case 3: Competitor Research

Extract all businesses in your niche. Analyze: - Their Google ratings - Their review sentiment - What technologies they use - Whether they claim their listings