How to Export Google Maps Data to Excel (5 Methods, 2026)

Why Export Google Maps Data to Excel?

Google Maps contains detailed information on over 200 million businesses worldwide — names, phone numbers, addresses, websites, ratings, reviews, and opening hours. But there is no built-in "Export to Excel" button. If you have ever tried to copy business listings one by one into a spreadsheet, you know the pain.

Exporting Google Maps data to Excel unlocks powerful use cases:

• Lead generation — Build prospect lists for cold email or cold calling campaigns
• Market research — Analyze competitor density, pricing, and ratings across regions
• Sales territory planning — Map all potential customers in a geographic area
• Local SEO audits — Track review counts and ratings for clients or competitors
• Real estate analysis — Catalog property managers, agents, and service providers by neighborhood

The good news: in 2026, there are multiple ways to get Google Maps data into Excel or CSV format — from completely free manual methods to one-click automated tools. This guide covers all five, so you can pick the one that fits your budget and technical skill level.

Method 1: Use an Online Google Maps Scraper (Fastest — 60 Seconds)

The fastest way to export Google Maps data to Excel is using a web-based scraping tool. No software to install, no code to write — you type a search query and download a spreadsheet.

How It Works with GMapsScraper.io

1. Go to gmapsscraper.io and sign in (free tier available)
2. Enter your search query — exactly what you would type on Google Maps (e.g., "plumbers in Chicago")
3. Click Scrape — the AI engine extracts all matching businesses
4. Wait 30-60 seconds for results to appear
5. Click Export to Excel (or CSV/JSON) — done

What You Get in the Excel File

Each row is a business, with columns for:

Why This Method Wins

• Speed: 100+ results exported in under 60 seconds
• No installation: Works in any browser on any device (even your phone)
• Email enrichment: The AI visits each business website to find email addresses — something Google Maps does not show directly
• Social media included: Finds Facebook, Instagram, LinkedIn profiles automatically
• Bulk operations: Queue multiple searches and export everything at once

When to Use This Method

Use this when you need a clean, ready-to-use Excel file with complete business data including emails and social profiles. Best for lead generation, sales prospecting, and market research where you need actionable contact information.

Method 2: Google Maps + Copy-Paste to Excel (Free but Painful)

If you only need 10-20 businesses and do not want to use any tool, you can manually copy data from Google Maps into Excel.

Step-by-Step Process

1. Open Google Maps in your browser
2. Search for your target (e.g., "dentists in Austin, TX")
3. Click on the first result to open its details panel
4. Copy the business name, phone number, address, and website
5. Paste into your Excel spreadsheet
6. Click the back arrow and repeat for the next business
7. Scroll down in the results panel to load more listings (Google shows about 20 at a time)

Limitations

• Brutally slow — expect 2-3 minutes per business (100 businesses = 4+ hours)
• No email addresses — Google Maps rarely shows emails; you would need to visit each website separately
• Limited results — Google Maps only shows 60-120 results per search before stopping
• Error-prone — copy-paste fatigue leads to mistakes
• No social media data — you would need to search each business on Facebook/Instagram manually

When to Use This Method

Only when you need fewer than 20 specific businesses and have time to spare. For anything larger, the time cost makes this impractical.

Method 3: Instant Data Scraper Chrome Extension (Free, Basic)

Instant Data Scraper is a free Chrome extension that detects data tables on any webpage and lets you export them. It works on Google Maps search results, though with some limitations.

How to Use It

1. Install Instant Data Scraper from the Chrome Web Store
2. Open Google Maps and search for your target businesses
3. Important: Scroll down in the results panel to load all listings (the extension only captures what is visible)
4. Click the Instant Data Scraper extension icon
5. It will auto-detect the business listings as a data table
6. Click "Start crawling" if you want it to paginate through results
7. Click "Download" to export as CSV or Excel

What You Get

• Business name
• Address (sometimes partial)
• Rating and review count
• Phone number (if visible in the listing preview)
• Website URL (if visible)

What You Do NOT Get

• No email addresses — the extension only captures what is visible on the page
• No social media profiles — not shown on Google Maps listings
• Inconsistent data — some fields may be missing depending on how Google renders the results
• No bulk search — you have to run one search at a time and scroll manually

Limitations

• Only works on Chrome desktop (no mobile, no Firefox, no Safari)
• Breaks periodically when Google updates the Maps interface
• Limited to what is visible on screen — cannot extract data from inside business detail pages
• No email enrichment — you get raw Maps data only

When to Use This Method

Good for quick, one-off exports when you do not need email addresses and are comfortable with potentially incomplete data. It is free and requires no signup, which makes it great for testing whether Google Maps data is useful for your use case before investing in a paid tool.

Method 4: Google Maps API + Python Script (For Developers)

If you are comfortable writing code, Google's official Places API lets you programmatically extract business data and export it to any format including Excel and CSV.

Prerequisites

• Google Cloud Platform account (free to create)
• Places API enabled
• API key
• Python 3.8+ with requests and openpyxl libraries

Python Script: Google Maps to Excel

import requests
import time
from openpyxl import Workbook

API_KEY = "your_google_api_key"
BASE_URL = "https://maps.googleapis.com/maps/api/place"

def search_and_export(query, location, output_file="leads.xlsx"):
    """Search Google Maps and export results to Excel."""

    # Step 1: Search for places
    url = f"{BASE_URL}/textsearch/json"
    params = {
        "query": query,
        "location": location,
        "radius": 10000,
        "key": API_KEY
    }

    all_results = []
    response = requests.get(url, params=params).json()
    all_results.extend(response.get("results", []))

    # Paginate (max 60 results)
    while "next_page_token" in response:
        time.sleep(2)
        params["pagetoken"] = response["next_page_token"]
        response = requests.get(url, params=params).json()
        all_results.extend(response.get("results", []))

    # Step 2: Get details for each place
    leads = []
    for place in all_results:
        detail_url = f"{BASE_URL}/details/json"
        detail_params = {
            "place_id": place["place_id"],
            "fields": "name,formatted_phone_number,website,"
                      "formatted_address,rating,user_ratings_total",
            "key": API_KEY
        }
        detail = requests.get(
            detail_url, params=detail_params
        ).json().get("result", {})
        leads.append({
            "Name": detail.get("name", ""),
            "Phone": detail.get("formatted_phone_number", ""),
            "Website": detail.get("website", ""),
            "Address": detail.get("formatted_address", ""),
            "Rating": detail.get("rating", ""),
            "Reviews": detail.get("user_ratings_total", ""),
        })
        time.sleep(0.1)

    # Step 3: Export to Excel
    wb = Workbook()
    ws = wb.active
    ws.title = "Google Maps Leads"
    headers = list(leads[0].keys())
    ws.append(headers)
    for lead in leads:
        ws.append([lead[h] for h in headers])
    wb.save(output_file)
    print(f"Exported {len(leads)} leads to {output_file}")

# Usage
search_and_export("restaurants in Miami", "25.7617,-80.1918")

Cost Breakdown

• Free tier: $200/month in API credits (approximately 10,000 Place Detail requests)
• After free tier: $17 per 1,000 Place Detail requests
• Text Search: $32 per 1,000 requests

Limitations

• No email addresses — Google's API does not return emails
• No social media profiles — not included in API responses
• 60 results max per search — pagination limited to 3 pages
• Costs add up — a large export can exceed the free tier quickly
• Requires coding — not accessible to non-technical users

When to Use This Method

Best for developers building automated pipelines who need structured, reliable data and are comfortable with the API's limitations (no emails, 60 result cap). Good for recurring scheduled exports.

Method 5: Google My Maps + KML Export (Free, Limited)

A lesser-known method: you can use Google My Maps to save locations and export them as KML, then convert to Excel.

How to Do It

1. Go to Google My Maps
2. Create a new map
3. Use the search bar to find businesses
4. Click "Add to map" for each business you want
5. Once you have added all locations, click the three dots menu then "Export to KML"
6. Open the KML file in Excel (or convert using an online KML-to-CSV converter)

Limitations

• Extremely manual — you add businesses one by one
• Limited data fields — only gets name, address, and coordinates
• No phone, email, website, or reviews — just location data
• Not scalable — practical for maybe 20-50 locations max

When to Use This Method

Only useful if you specifically need geographic coordinates for mapping purposes and do not need contact information. For lead generation, this method is essentially useless.

Comparison: Which Method Should You Use?

The verdict: For most people, an online scraper gives you the best combination of speed, data completeness, and ease of use. The free methods work for tiny one-off tasks, but they all miss the most valuable data field — email addresses.

Pro Tips: Getting Better Data in Your Excel Export

Tip 1: Use Specific Search Queries

"Restaurants in New York" returns generic results. "Farm-to-table restaurants in Williamsburg Brooklyn" returns highly targeted leads. The more specific your query, the more relevant your Excel export will be.

Tip 2: Run Multiple Searches and Merge

Google Maps returns different results for different query phrasings. Search for "plumber," "plumbing company," "plumbing service," and "emergency plumber" separately, then merge the Excel files and remove duplicates. You will capture 3-5x more businesses.

Tip 3: Filter by Review Count After Export

Once your data is in Excel, sort by review count. Businesses with 50-200 reviews are often the sweet spot for outreach — established enough to have budget, but not so large they are unreachable.

Tip 4: Verify Emails Before Sending

If your export includes email addresses, run them through a verification service (NeverBounce, ZeroBounce) before sending campaigns. Scraped emails have a 60-70% validity rate — sending to unverified lists damages your sender reputation.

Tip 5: Add a "Last Updated" Column

Google Maps data changes constantly — businesses close, phone numbers change, new ones open. Add a date column to your Excel file so you know how fresh the data is. Re-scrape monthly for active campaigns.

Common Issues When Exporting Google Maps to Excel

"I only get 20 results"

Google Maps loads results progressively as you scroll. If using a Chrome extension, you need to scroll to the bottom of the results panel first. If using an online scraper or API, this is handled automatically.

"Phone numbers are missing"

Not all businesses list their phone number on Google Maps. Coverage is typically 80-90% for established businesses. For the remaining 10-20%, you will need to visit their website manually or use an enrichment tool.

"The data has duplicates"

If you ran multiple searches with overlapping keywords, duplicates are expected. In Excel, use Remove Duplicates (Data tab, then Remove Duplicates) and match on phone number or address for best results.

"Excel shows weird characters in addresses"

This is usually a UTF-8 encoding issue. When importing CSV files into Excel, use "Data then From Text/CSV" instead of double-clicking the file, and select UTF-8 encoding.

"I need emails but none of the free methods provide them"

Correct — Google Maps itself does not display email addresses for most businesses. Email extraction requires visiting each business's website and parsing contact pages. Only dedicated scraping tools (like GMapsScraper.io) do this automatically. Free methods give you everything except emails.

Frequently Asked Questions

Can I export Google Maps data to Excel for free?

Yes. The manual copy-paste method and Instant Data Scraper extension are completely free. However, free methods do not include email addresses and are limited to approximately 120 results per search. GMapsScraper.io also offers a free tier for testing.

What is the maximum number of businesses I can export?

It depends on the method. Manual: about 120. Chrome extensions: about 120. Google API: 60 per search. Online scrapers like GMapsScraper.io: 500+ per search with no hard cap.

Is it legal to export Google Maps data to Excel?

Exporting publicly available business information (names, phones, addresses) is generally legal. You are accessing the same data any person would see by searching Google Maps. However, do not republish the data as a competing directory, and comply with GDPR/CAN-SPAM when using it for outreach.

Can I export Google Maps data on my phone?

With web-based tools like GMapsScraper.io, yes — it works in any mobile browser. Chrome extensions and Python scripts require a desktop computer.

How often should I re-export the data?

For active outreach campaigns, re-scrape monthly. Google Maps data changes frequently — businesses open and close, phone numbers change, ratings fluctuate. Stale data leads to bounced emails and disconnected numbers.

Can I export Google Maps reviews to Excel?

Yes, but it requires a specialized tool. Standard exports include the review count and average rating. To export individual review text, you need a tool with review scraping capability (GMapsScraper.io supports this via API).

Advanced: Automating Google Maps to Excel with Make.com or n8n

If you need fresh Google Maps data in Excel on a recurring schedule — say, every Monday morning — you can automate the entire workflow using no-code automation platforms.

The Automation Workflow

Trigger (Schedule: every Monday)
  → Scrape Google Maps (via API or scraper node)
  → Clean & deduplicate results
  → Export to Google Sheets or Excel file
  → Send notification (email/Slack)

Using Make.com (formerly Integromat)

Make.com is a visual automation platform that connects hundreds of apps. Here is how to set up a Google Maps to Excel pipeline:

1. Create a new Scenario in Make.com
2. Add an HTTP module — configure it to call the GMapsScraper.io API with your search query
3. Add a JSON parser — parse the API response into individual business records
4. Add a Google Sheets module — write each record as a new row (or use the Excel module for .xlsx files)
5. Set a schedule — run weekly, daily, or on-demand

Key insight: do not try to scrape Google Maps directly from Make.com. Google will block your requests. Instead, use a dedicated scraper API (like GMapsScraper.io) as the data source, and let Make.com handle the formatting and delivery.

Using n8n (Self-Hosted Alternative)

n8n is an open-source automation tool you can self-host for free. The workflow is similar:

1. Schedule Trigger node — fires on your chosen schedule
2. HTTP Request node — calls the scraper API
3. Split In Batches node — processes results one by one
4. Spreadsheet File node — creates an Excel file from the data
5. Email node — sends the file to your inbox

The advantage of n8n over Make.com: it is free to self-host, has no execution limits, and your data never leaves your server.

Why Automation Matters for Lead Generation

Manual exports get stale fast. Businesses open and close, phone numbers change, new competitors appear. An automated weekly export ensures your sales team always has fresh data without anyone spending time on manual scraping.

The typical ROI calculation: if a sales rep spends 2 hours per week manually building prospect lists from Google Maps, that is 100+ hours per year. At $50/hour loaded cost, that is $5,000/year in wasted time — versus $19/month for an automated scraper.

Google Maps to Excel: Data Quality Checklist

Before using your exported data for outreach, run through this quality checklist:

Pre-Send Verification

• Remove duplicates — deduplicate by phone number or Place ID
• Verify emails — run through NeverBounce or ZeroBounce (aim for 95%+ valid)
• Check for closed businesses — filter out any marked as "Permanently closed"
• Validate phone numbers — remove obviously invalid formats
• Add personalization columns — note each business's rating, review count, or category for email personalization

Data Freshness Rules

Excel Formatting Best Practices

• Use Table format (Ctrl+T) for easy filtering and sorting
• Add conditional formatting on the Rating column (green for 4.5+, yellow for 3.5-4.4, red for below 3.5)
• Create a pivot table to summarize businesses by category or neighborhood
• Add a "Status" column for tracking outreach progress (Not Contacted, Emailed, Responded, Meeting Booked)

Real-World Example: Exporting 500 Dentists in Miami to Excel

Let us walk through a complete real-world example from start to finish.

The Goal

A dental marketing agency needs a list of every dentist in Miami with their contact details to pitch website redesign services.

Step 1: Define the Search

Instead of one broad search, we use multiple specific queries to maximize coverage:

• "dentist in Miami"
• "dental clinic Miami"
• "cosmetic dentistry Miami"
• "emergency dentist Miami"
• "pediatric dentist Miami"
• "orthodontist Miami"
• "dental implants Miami"

Step 2: Run the Export

Using GMapsScraper.io, queue all 7 searches. Total time: about 3 minutes. Results: 487 unique businesses after deduplication.

Step 3: Review the Excel File

The exported file contains:

• 487 rows (one per business)
• 312 with email addresses (64% coverage)
• 461 with phone numbers (95% coverage)
• 487 with full addresses (100%)
• Average rating: 4.3 stars
• Average review count: 127

Step 4: Segment for Outreach

In Excel, filter the data:

• Hot leads (no website): 43 dentists with no website listed — perfect prospects for web design services
• Warm leads (low reviews): 89 dentists with fewer than 20 reviews — likely need marketing help
• Qualified leads (has email + website): 267 dentists ready for a personalized cold email

Step 5: Launch Campaign

Import the 267 qualified leads into Instantly.ai with a 4-email sequence:

1. Email 1: Reference their Google Maps rating and offer a free website audit
2. Email 2: Share a case study of another Miami dentist you helped
3. Email 3: Offer a limited-time discount
4. Email 4: Breakup email

Result: 267 personalized emails sent in 15 minutes. Expected response rate: 3-5% (8-13 replies). Expected close rate: 2-3 new clients.

Total time from zero to campaign launched: Under 30 minutes.
Total cost: $19 (one month of GMapsScraper.io Starter plan)
Potential revenue from 2-3 new clients: $3,000-$15,000+

That is the power of automating Google Maps to Excel exports.

What to Do Next After Exporting to Excel

Getting data into Excel is step one. Here is what high-performing sales teams do next:

1. Import to CRM

Upload your Excel file to HubSpot, Salesforce, or Pipedrive. Map columns to CRM fields. This creates a trackable pipeline from raw Google Maps data to closed deals.

2. Launch Cold Email Sequences

Import verified emails into Instantly, Smartlead, or Lemlist. Set up a 4-5 email sequence with personalization based on the scraped data (mention their rating, category, or location).

3. Build Targeted Ad Audiences

Upload your business list to Facebook or Google Ads as a custom audience. Run retargeting ads to businesses you have already emailed for multi-channel touchpoints.

4. Enrich with Additional Data

Use tools like Apollo.io or Clearbit to append decision-maker names, company size, and revenue estimates to your Google Maps export. This turns a basic business list into a qualified prospect database.

Start Exporting Google Maps Data Today

You now have five methods to get Google Maps business data into Excel — from free manual approaches to one-click automated tools. The right choice depends on your volume needs and whether you need email addresses.

For most lead generation use cases, the math is simple: spending 4 hours manually copying 100 businesses makes no sense when you can export 500+ with emails in 60 seconds.

Ready to try it? GMapsScraper.io lets you export Google Maps data to Excel with one click — including emails, phone numbers, and social profiles. Free tier available, no plugin required.

Tools Mentioned in This Guide

Last updated: June 2026. All pricing and features verified at time of writing.