Learn how to export Google Maps business data and reviews to Excel or CSV using API-based tools. A complete step-by-step guide for lead generation, SEO, and market research.
How to Export Google Maps Reviews and Business Data to Excel/CSV (Step-by-Step)

How to Export Google Maps Reviews and Business Data to Excel/CSV (Step-by-Step)

Learn how to export Google Maps business data and reviews to Excel or CSV using API-based tools. A complete step-by-step guide for lead generation, SEO, and market research.

June 13, 2026

Exporting Google Maps business data — including names, addresses, phone numbers, websites, ratings, and reviews — is extremely valuable for:

  • lead generation
  • local SEO
  • competitor analysis
  • market research
  • outreach campaigns

But Google Maps does not offer a built‑in export button. So you need an alternative method.

This guide shows you the fastest and most reliable ways to export Google Maps data to Excel or CSV in 2026.


Why You Can’t Export Directly from Google Maps

Google Maps does not allow:

  • exporting business lists
  • exporting reviews
  • downloading business data
  • scraping the interface

Any attempt to scrape the UI violates Google’s Terms of Service and often results in:

  • blocked IPs
  • incomplete data
  • unstable scripts

The only reliable method is using a Google Places API–based tool.


Method 1: Export Google Maps Data Using LeadAtlas (Best & API‑Based)

If you want a legal, stable, and scalable way to export Google Maps data, LeadAtlas is the best option because it uses the official Google Places API.

Step 1 — Enter Your Search Query

Examples:

  • “grocery store new york”
  • “dentist los angeles”
  • “restaurants miami”
  • “coffee shop chicago”

LeadAtlas instantly returns:

  • business name
  • address
  • phone number
  • website
  • rating
  • review count
  • Google Maps URL
  • latitude & longitude
  • emails (when available)

Step 2 — View the Results

No scraping. No proxies. No blocks.

Step 3 — Click Export CSV

LeadAtlas generates a clean CSV file containing all business data.

Step 4 — Open the CSV in Excel

You now have a fully structured dataset ready for:

  • outreach
  • CRM import
  • analysis
  • segmentation

Method 2: Export Google Maps Reviews (Step-by-Step)

If you need reviews, not just business data:

Step 1 — Search for the business

Example: “Starbucks Times Square”.

Step 2 — Open the business details

LeadAtlas displays:

  • rating
  • review count
  • top reviews
  • business metadata

Step 3 — Click Export Reviews

You receive a CSV containing:

  • reviewer name
  • rating
  • review text
  • review date
  • profile URL
  • business ID

Step 4 — Open in Excel

All reviews are now structured and ready for analysis.


CSV Structure Examples

Business Data CSV

| name | address | phone | website | rating | reviews | url | lat | lng | |------|---------|--------|---------|--------|---------|-----|-----|-----|

Reviews CSV

| reviewer | rating | text | date | profile_url | |----------|--------|-------|-------|--------------|


Method 3: Using Scrapers (Not Recommended)

Tools like:

  • Outscraper
  • LeadScrape
  • Phantombuster
  • BrightData

…attempt to scrape Google Maps.

Problems:

  • violates Google ToS
  • unstable
  • breaks often
  • requires proxies
  • inconsistent data
  • reviews export is unreliable

Good for experiments, not for production.


Method 4: Manual Copy-Paste (Slow & Not Scalable)

You can manually copy:

  • business names
  • addresses
  • phone numbers
  • reviews

But:

  • it’s slow
  • not scalable
  • error‑prone
  • impossible for large datasets

Only useful for 1–2 businesses.


Final Recommendation

If you need to export Google Maps business data or reviews to Excel/CSV:

  • LeadAtlas → best, legal, API‑based, stable
  • Scrapers → unstable, risky
  • Manual → too slow

For any dataset larger than 20–30 businesses, API‑based extraction is the only reliable method.

Try searches like:

  • “grocery store new york”
  • “dentist los angeles”
  • “restaurants miami”

…and export everything in seconds.