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Google Maps Email Extractor example run

A ready-to-run example for Google Maps Email Extractor — Leads, Emails, Phones & Socials. It starts with a small working input; change searchTerms, location, maxPlacesPerSearch to your own values and run. Results come as JSON, CSV or Excel, and you pay only for the results you get.

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Google Maps Email Extractor — Leads, Emails, Phones & Socials
Google Maps Email Extractor — Leads, Emails, Phones & Socialstortuga/google-maps-email-scraper
Name
Category
Emails
Phone (Maps)
+18 fields
Text
Number
Boolean
List
Object

Input

Search terms:dentist
Location:Austin, TX
Max places per search:15

Output fields

Name
Category
Emails
Phone (Maps)
Phones (website)
Website
Contact page
Facebook
Instagram
LinkedIn
X / Twitter
YouTube
TikTok
WhatsApp
Rating
Reviews
Address
City
Website visit
Google Maps
Search term
Change

How it works

Sign up on Apify or log in

The Google Maps Email Extractor — Leads, Emails, Phones & Socials Actor is ready to run with the inputs already set for "Google Maps Email Extractor example run". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Google Maps Email Extractor example run" task

The Google Maps Email Extractor — Leads, Emails, Phones & Socials Actor will start running based on the input automatically. You can also change all the input fields, like search terms, location, and more, to match your specific use case.

Receive the "Google Maps Email Extractor example run" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as name, category, emails, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Google Maps Email Extractor example run" task via API.

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Integrate "Google Maps Email Extractor example run" into your workflow

Connect "Google Maps Email Extractor example run" with 100+ integrations, or run it via API or MCP.

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