You found the businesses on Google Maps. Now you need them in a spreadsheet. That is where things get frustrating.
Google Maps does not have an export button. There is no “download CSV” link, no “send to Excel” option, no way to select multiple listings and save them as a file. Google built a massive database of over 200 million businesses and locked it behind a visual interface designed for individual lookups, not bulk extraction.
This guide covers every method to get Google Maps data into CSV or Excel format, from manual approaches that cost nothing but take hours, to automated tools that handle thousands of rows in minutes. By the end, you will know exactly which approach fits your situation and how to execute it.
Why you need Google Maps data in a spreadsheet
Raw Google Maps data in a spreadsheet unlocks work that is impossible from the Maps interface itself:
- Cold email campaigns require email addresses in a CSV file to upload into outreach tools like Instantly, Lemlist, or Mailshake
- CRM imports need structured data with separate columns for name, phone, email, and address
- Lead scoring and filtering means sorting by rating, review count, or claimed status to find the best prospects
- Direct mail campaigns need clean addresses formatted for mail merge
- Competitive analysis involves tracking competitor ratings, review counts, and listing completeness across regions
None of this happens inside Google Maps. It happens in Excel, Google Sheets, HubSpot, or Salesforce. The first step is getting the data out.
What data you can export from Google Maps
Each Google Maps business listing contains a set of structured data fields. Here is what is available and what each field is useful for:
| Field | Example | Use Case |
|---|---|---|
| Business Name | Sunrise Plumbing LLC | Personalization, CRM record |
| Address | 123 Main St, Austin, TX 78701 | Direct mail, territory planning, geo-analysis |
| Phone Number | (555) 123-4567 | Cold calling, SMS outreach |
| Email Address | [email protected] | Cold email campaigns (not on Maps, requires tool) |
| Website URL | sunriseplumbing.com | Research, retargeting audiences, link building |
| Rating | 4.7 | Lead quality scoring, prioritization |
| Review Count | 128 | Engagement signals, outreach timing |
| Claimed Status | Unclaimed | Identifies businesses needing GBP management |
| Business Category | Plumber | List segmentation, niche targeting |
The email address field deserves attention. Google Maps listings rarely display email addresses directly. Tools that export this field work by visiting each business’s website and extracting emails from contact pages. If email outreach is your goal, this field alone determines which export method is worth your time.
Methods to export Google Maps data
There are four main approaches, each with different tradeoffs in speed, cost, and data completeness.
| Method | Speed | Cost | Email Data | Technical Skill | Best For |
|---|---|---|---|---|---|
| Manual copy-paste | 20-30 per hour | Free | Manual | None | One-time lists under 30 businesses |
| Google Places API | Fast (programmatic) | $17 per 1K requests | No | Developer | App builders, custom integrations |
| Chrome extensions | 50-200 per session | $10-20/month | No | None | Small, occasional exports |
| Desktop tools | 50-200 per session | One-time ($79) or monthly | Yes | None | Regular outreach, agencies, sales teams |
Method 1: Manual copy-paste
Search Google Maps, click each business, highlight the name and address, paste into a spreadsheet. For phone numbers and websites, click through to the listing and copy those individually.
This works for a list of 10-20 businesses. Beyond that, the time investment becomes hard to justify. A list of 200 businesses at 2 minutes each equals nearly 7 hours of mindless copying. You will also miss email addresses entirely, since they are not displayed on Google Maps.
Method 2: Google Places API
Google’s Places API gives programmatic access to business data. You write code that sends requests and receives JSON responses, which you then convert to CSV.
New accounts get a $200 monthly credit. Each search costs $17 per 1,000 requests. Each detail lookup costs another $17 per 1,000. A session of 200 businesses typically burns 400-600 API calls.
The API returns name, address, phone, website, rating, and coordinates. It does not return email addresses or claimed status. You need to write code to handle pagination, parse JSON, and generate the CSV file.
Worth it if: You are a developer building an application or data pipeline. Not worth it if you just want a spreadsheet of leads.
Method 3: Chrome extensions
Browser extensions like MapsScraper.io add a scraping layer on top of Google Maps. You run a normal search, click the extension, and it extracts visible results into a downloadable CSV.
The limitation is depth. Extensions can only see what is loaded on your screen. A search for “dentists in Chicago” returns hundreds of results, but Google only loads 20-30 at a time. Extensions struggle with large result sets and rarely include email extraction.
Method 4: Desktop scraping tools
Desktop applications like MapGopher automate the entire process. You enter a keyword and location, the tool browses Google Maps like a real user, collects data from each listing, visits business websites to find email addresses, and exports everything to CSV or Excel.
This is the approach that balances speed, completeness, and cost for most people who need Google Maps data in a spreadsheet regularly.
CSV vs Excel vs JSON: Which format to use
Most export tools offer multiple file formats. Here is how they compare for practical use:
| Feature | CSV | Excel (XLSX) | JSON |
|---|---|---|---|
| Opens in | Excel, Sheets, any text editor | Excel, Numbers | Code editors, databases |
| File size | Smallest | Larger (formatting overhead) | Smallest |
| Formatting support | None (plain text) | Colors, fonts, filters, formulas | None (structured data) |
| CRM compatibility | Universal (all CRMs accept CSV) | Most CRMs | API integrations only |
| Special characters | Can break if encoding is wrong | Handles all characters | Handles all characters |
| Best for | CRM import, email tools, databases | Analysis, filtering, human review | Developer workflows, API consumption |
| Edit after export | Any spreadsheet app | Native Excel features | Code or specialized editors |
Recommendation: Export to CSV for CRM imports and email campaign uploads. Export to Excel if you plan to filter, sort, and analyze the data before using it. Skip JSON unless you are feeding data into code.
Step-by-step: Exporting Google Maps data with MapGopher
Here is the exact workflow to go from a Google Maps search to a clean, ready-to-use spreadsheet.
Step 1: Download and install
Download MapGopher from the website. It is a desktop application available for Windows and Mac. Install it like any other program. No account creation, no subscription signup.
Step 2: Enter your search criteria
Open the app and type in a keyword and location. Be specific for better results.
Good searches:
- “roofing contractors in Nashville”
- “med spas in Scottsdale”
- “auto repair shops in Portland, OR”
Avoid overly broad searches like “businesses in California.” Focused lists of 50-200 businesses convert better than massive untargeted lists.
Step 3: Run the extraction
Click start. MapGopher browses Google Maps at a human pace, visiting each business listing in your search results. It collects all the standard fields: name, address, phone, website, rating, review count, and claimed status.
When a listing has a website, MapGopher visits it in the background and scans contact pages, about pages, and footers for email addresses. This happens automatically without any extra configuration.
Step 4: Export your data
When the session finishes, click export. Choose CSV or Excel format. The file downloads immediately with every field in its own column.
Here is what the exported data looks like:
| Business Name | Address | Phone | Website | Rating | Reviews | Claimed | |
|---|---|---|---|---|---|---|---|
| Apex Roofing Co | 456 Oak Ave, Nashville, TN | (615) 555-0142 | [email protected] | apexroofing.com | 4.8 | 94 | Claimed |
| Summit Roof Solutions | 789 Pine Rd, Nashville, TN | (615) 555-0298 | [email protected] | summitroof.com | 4.2 | 17 | Unclaimed |
| Heritage Roofing LLC | 321 Elm St, Nashville, TN | (615) 555-0371 | — | — | 3.9 | 6 | Unclaimed |
Step 5: Import into your tool of choice
Open the CSV in Excel or Google Sheets for review. Upload it to your CRM, email platform, or dialer. Most tools accept CSV imports directly.
Structuring exported data for CRM import
Different CRMs expect different column names and data formats. Here are the standard mappings for popular platforms:
| MapGopher Field | HubSpot Column | Salesforce Column | Pipedrive Column |
|---|---|---|---|
| Business Name | Company Name | Account Name | Organization |
| Address | Street Address | Billing Street | Address |
| Phone Number | Phone Number | Phone | Phone |
| Email Address | |||
| Website URL | Website URL | Website | Website |
| Rating | (Custom Field) | (Custom Field) | (Custom Field) |
| Review Count | (Custom Field) | (Custom Field) | (Custom Field) |
| Claimed Status | (Custom Field) | (Custom Field) | (Custom Field) |
Tips for clean CRM imports:
- Rename your CSV column headers to match what your CRM expects before uploading
- Remove any rows missing critical data (no email = no email campaign)
- Add a column for the search query used (e.g., “roofers Nashville”) so you can track list sources
- Create a custom field for Rating and Review Count in your CRM to use them for lead scoring
Cleaning up large exports
When you export hundreds or thousands of rows, your data needs cleanup before it is usable. Here is a systematic approach.
Deduplication
Run your export through a dedup step. In Excel, select all rows and use Remove Duplicates on the Business Name + Address columns together. Some businesses appear multiple times if they rank for different keywords or have slight name variations (e.g., “Apex Roofing” vs “Apex Roofing Co.”).
In Google Sheets, use the UNIQUE function on the combined name and address columns to flag duplicates.
Removing incomplete rows
Sort by email address and filter out blanks if you are running email campaigns. A list of 200 businesses might yield 120-150 with email addresses. Those 120-150 are your outreach targets. The rest still have phone numbers and addresses for calling or direct mail.
Standardizing phone numbers
Phone formats vary across listings: (555) 123-4567, 555-123-4567, +1 555 123 4567. Standardize to one format before importing into a dialer or SMS tool. Excel’s text functions or a quick find-and-replace session handles this.
Adding enrichment columns
After export, add columns that help with segmentation:
- Has Email (Yes/No) — for filtering outreach-ready rows
- Has Website (Yes/No) — for web design pitches
- Review Bucket (Low/Medium/High) — group by review count ranges
- Priority Score — calculate based on rating, reviews, and claimed status
Handling special characters
Business names with ampersands, accents, or non-English characters can cause import errors in some CRMs. Export to CSV with UTF-8 encoding to preserve these characters. MapGopher exports in UTF-8 by default.
Common questions
Can I export Google Maps data directly from the browser?
No. Google Maps has no built-in export feature. You need a tool or manual process to extract data into a file.
How many rows can I export at once?
With MapGopher, each session typically produces 50-200 results depending on how many businesses match your search. You can run unlimited sessions with no per-row charges. For reference, a search like “plumbers in Chicago” returns 200+ results.
Is it legal to export Google Maps data?
Google’s Terms of Service prohibit automated scraping. However, tools like MapGopher operate by mimicking real user behavior through an actual browser session, which differs from server-side data harvesting. Many businesses use this approach for lead generation. Use responsibly and at reasonable volumes.
What if I need data from multiple cities?
Run separate sessions for each city. This keeps your data organized and lets you segment by location in your CRM. With MapGopher’s unlimited usage, there is no cost penalty for running multiple searches.
The bottom line
Getting Google Maps data into a spreadsheet is not complicated once you pick the right method. Manual copy-paste works for tiny lists. The API works for developers. Chrome extensions work for small, one-off exports. Desktop tools work for everyone else.
If you need to export Google Maps data to CSV or Excel on a regular basis, a desktop tool that includes email extraction and charges once instead of monthly is the most practical option. MapGopher handles the entire workflow from search to export for a one-time $79 payment. No per-row fees, no subscription, no coding required.