Every Google Maps business listing has a phone number. Restaurants, plumbers, dentists, law firms, salons. They are all there, publicly displayed, one click away.
The problem is getting them out at scale. Clicking through 200 listings and copying numbers into a spreadsheet takes hours. And if you need phone numbers from multiple cities or business categories, manual collection becomes a full-time job.
This guide covers the practical ways to extract phone numbers from Google Maps in bulk, what data comes with each number, and how to end up with a clean CSV ready for cold calling or SMS outreach.
What phone data is available on Google Maps?
Every verified Google Business Profile includes a phone number as a required field. When you extract listings, each phone number comes attached to a full business record:
- Business name (e.g., Sunrise Plumbing LLC)
- Phone number (e.g., (555) 123-4567)
- Street address (e.g., 456 Oak Ave, Suite 2, Austin, TX 78701)
- Website URL (e.g., sunriseplumbing.com)
- Email address (extracted from the business website, not the listing itself)
- Rating and review count (e.g., 4.7 stars, 128 reviews)
- Claimed vs. unclaimed status (whether the owner manages the profile)
The phone number is the most reliable field. Nearly every Google Maps listing has one, unlike email addresses which Google does not display. This makes phone numbers the single most consistent piece of contact data you can pull from Google Maps.
Why extract phone numbers from Google Maps?
Phone numbers from Google Maps are valuable for three specific use cases.
Cold calling. Local businesses expect phone calls. A plumber, contractor, or salon owner answers their phone all day. Cold calling local businesses converts at 2-5x the rate of cold calling consumers, and the data from Google Maps gives you context (their name, location, rating) that makes every call more relevant.
SMS outreach. Text messages have open rates above 90%. For quick introductions, appointment reminders, or follow-ups after a call, SMS outperforms email on response speed. You need phone numbers to send them.
Business verification and prospecting. Sales teams use phone numbers to verify that a business is active and reachable before investing time in deeper research. A disconnected number tells you the listing is stale. A working number confirms a live prospect.
3 methods to extract phone numbers from Google Maps
Method 1: Manual copy-paste
Search Google Maps for a keyword and city, click each listing, and copy the phone number into a spreadsheet.
It works. It is also the slowest possible approach. Copying 50 business details takes 1-2 hours. For 500 businesses across multiple cities, you are looking at days of work.
Best for: One-time lists of 10-20 businesses.
Method 2: Google Places API
Google’s Places API returns structured business data including phone numbers through the formatted_phone_number field. Developers can query it programmatically and export results.
The API requires a Google Cloud account, an API key, and per-request pricing. It also returns data in JSON format, so you need code to parse and convert it to a usable spreadsheet.
Best for: Engineering teams building custom data pipelines.
Method 3: Desktop scraping tools
Desktop applications like MapGopher automate the entire process in a tool designed for non-technical users. You enter a keyword and location, the tool browses Google Maps like a real user, collects the data from each listing, and exports everything to CSV.
No coding. No API keys. No per-request charges.
Best for: Sales teams, freelancers, and agencies who need outreach-ready lists.
Comparing the three methods
| Criteria | Manual copy-paste | Google Places API | MapGopher |
|---|---|---|---|
| Speed | 1-2 hrs per 50 | Fast (requires code) | Minutes per 200+ |
| Cost | Free | Pay per request | $79 one-time |
| Technical skill | None | Moderate to high | None |
| Email included | If you dig | No | Yes (auto from website) |
| CSV export | Manual entry | Requires code | Built-in |
| Phone coverage | 100% of clicked | 100% of queried | 100% of listings |
| Scalability | Poor | Good | Good |
For anyone extracting phone numbers more than once, the manual approach wastes time. The API works but requires developer resources. A desktop tool gives you speed and simplicity without recurring costs.
Step-by-step: Extracting phone numbers with MapGopher
Here is the exact workflow to go from a search idea to a spreadsheet of phone numbers.
Step 1: Pick your target
Choose a specific business type and location. Focused searches produce better lists than broad ones.
Good examples:
- “HVAC contractors in Phoenix”
- “Med spas in Miami”
- “Wedding photographers in Portland”
Avoid generic searches like “businesses in California.” The more specific your search, the more relevant your call list.
Step 2: Run the extraction
Open MapGopher, type in your keyword and location, and start the session. The tool browses Google Maps at a natural pace, visiting each business listing and pulling the data. For businesses with websites, it also scans their site in the background to find email addresses.
Step 3: Export to CSV
When the session finishes, export your list. Each row looks like this:
| Field | Example |
|---|---|
| Business Name | Sunrise Plumbing LLC |
| Phone | (555) 123-4567 |
| [email protected] | |
| Address | 123 Main St, Austin, TX |
| Rating | 4.7 (128 reviews) |
| Website | sunriseplumbing.com |
| Claimed Status | Unclaimed |
Every listing includes a phone number. The email field is populated for roughly 40-60% of businesses that have a website with a discoverable address.
Step 4: Clean and format the phone numbers
Raw extracted phone numbers come in different formats. Some have parentheses, others use dashes or dots, and international listings include country codes. Before loading them into a dialer or SMS tool, standardize the format.
Remove formatting characters. Strip parentheses, dashes, dots, and spaces to get a raw 10-digit number: 5551234567.
Add country code if needed. For US numbers, prepend +1. Your dialer or SMS platform may require this format: +15551234567.
Filter out invalid numbers. Look for numbers that are too short, too long, or obviously fake (e.g., 123-456-7890). Google Maps occasionally displays placeholder numbers.
Check for duplicates. Some businesses appear under multiple categories or locations. Deduplicate your list before outreach to avoid calling the same business twice.
Most spreadsheet tools can handle this with a combination of SUBSTITUTE functions and conditional formatting. Or use a free phone validation API like Twilio Lookup to batch-verify numbers before you start calling.
TCPA compliance basics for cold calling
If you plan to call or text the phone numbers you extract, you need to understand the Telephone Consumer Protection Act (TCPA). This is not legal advice, but here are the fundamentals.
Business-to-business calls have more flexibility than B2C. The TCPA’s strictest provisions apply to calls and texts to consumer mobile phones. Calling a business phone number (landline or mobile) to discuss business services generally faces fewer restrictions. But the rules are nuanced, and misclassification carries real penalties.
Do not use auto-dialers or prerecorded messages without consent. The TCPA prohibits using automatic telephone dialing systems (ATDS) or artificial/prerecorded voices to call mobile phones without prior express consent. If you manually dial each number, this restriction does not apply in the same way.
Honor do-not-call requests. If a business asks you to stop calling, stop. The TCPA requires companies to maintain an internal do-not-call list and honor requests within a reasonable timeframe.
SMS has stricter rules than voice calls. Text messages to mobile numbers generally require prior express written consent under the TCPA. Cold SMS to business numbers exists in a grayer area, but the safest approach is to get permission before texting.
Maintain records. Document where you obtained each phone number, when you called, and the outcome. This protects you if a complaint arises.
For US-based outreach, the FCC provides detailed TCPA guidance. For international campaigns, check the regulations in each country you target. GDPR in Europe, for instance, imposes strict consent requirements for any outreach.
Bottom line
Google Maps is the largest publicly available database of local business phone numbers. Every listed plumber, dentist, restaurant, and contractor has their number on display. The challenge is extracting those numbers at scale without spending hours on manual work.
Three approaches exist: copy-paste by hand (free but impractical beyond 20 leads), the Google Places API (powerful but requires code and ongoing costs), and desktop scraping tools (fast, simple, one-time cost).
For most people building call lists, the desktop tool approach is the practical choice. MapGopher extracts phone numbers from Google Maps along with business names, addresses, emails, ratings, and claimed status. Export to CSV, clean the numbers, load them into your dialer, and start calling. One-time $79 payment, unlimited usage, Windows and Mac.