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Google Maps Extractor — Google Maps | Lagic

Built ForMarketing & AdvertisingReal EstateHospitality

Extract detailed business listings, reviews, and contacts from Google Maps for any location.

Curated by Lagic·Verified working

Configure Agent

Type what you'd normally search for in the Google Maps search bar, like English breakfast or pet shelter. Aim for unique terms for faster processing. Using similar terms (e.g., bar vs. restaurant vs. cafe) may slightly increase your capture rate but is less efficient.⚠️ Searching for a specific place? If you're looking for a particular business or location (e.g., M&M Indian Thai Halal Restaurant), make sure to also specify the city or coun..

Define location using free text. Simpler formats work best; e.g., use City + Country rather than City + Country + State. Verify with the OpenStreetMap webapp for visual validation of the exact area you want to cover. 💡 Pro tip: Always specify a location when searching for specific place names in the 🔍 Search terms field above. This helps narrow down results to the geographic area you're interested in and pre..

Number of results you expect to get per each Search term, Category or URL. The higher the number, the longer it will take. If you want to scrape all places available, leave this field empty or use this section 🧭 Scrape all places on the map*.

Scraping results will show in this language.

You can limit the places that are scraped based on the Category filter; you can choose as many categories for one flat fee for the whole field. ⚠️ Using categories can sometimes lead to false negatives, as many places do not properly categorize themselves, and there are over 4,000 available categories which Google Maps has. Using categories might filter out places that you’d like to scrape. To avoid thi..

Restrict what places are scraped based on matching their name with provided 🔍 Search term. E.g., all places that have chicken in their name vs. places called Kentucky Fried Chicken.

Scrape only places with a rating equal to or above the selected stars. Places without reviews will also be skipped. Keep in mind, filtering by reviews reduces the number of places found per credit spent, as many will be excluded.

Use this to exclude places without a website, or vice versa. This option is turned off by default.

Results to deliver

400 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

4 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Business Name, Address, and Phone NumberWebsite URL and Google Maps URLOverall Star Rating and Total Review CountBusiness Category (e.g., 'Italian Restaurant')Full Opening Hours by DayGeographical Coordinates (Latitude and Longitude)
Sample Text...https://...389Value...Value...Value...
Sample Text...https://...518Value...Value...Value...
..................
Exports as:CSVXLSXJSON

Overview

Scrape Google Maps for business names, addresses, phone numbers, websites, and star ratings. Ideal for building local lead lists or conducting market research.

This tool extracts comprehensive public data about businesses and places from Google Maps. It's designed for sales teams, marketing agencies, local SEO specialists, and market researchers who need structured data about local businesses at scale. ### How It Works You can target businesses in several ways: by providing a search term (like "coffee shop" or "plumber") and a location, by pasting a list of specific Google Maps URLs, or by defining a precise geographical area. The tool offers powerful filtering options, allowing you to narrow down results by minimum star rating, whether a business has a website, or if it's currently open. ### What Data You Get Beyond the basics like name, address, phone number, and website, you can access a rich set of data points. This includes customer ratings, review counts, business categories, opening hours, and specific service options (e.g., "dine-in", "delivery", "in-store pickup"). For deeper insights, optional add-ons can enrich this data with: * **Detailed Place Information:** Scrape Q&As, popular times, review distributions, and full opening hours. * **Company Contacts:** Extract employee names, job titles, emails, and LinkedIn profiles from the business's website. * **Social Media Profiles:** Find and scrape data from a company's Facebook, Instagram, TikTok, and other social profiles. This turns a simple map listing into a detailed profile for lead generation, competitor analysis, or market mapping.

Key Capabilities

  • Business Name, Address, and Phone Number
  • Website URL and Google Maps URL
  • Overall Star Rating and Total Review Count
  • Business Category (e.g., 'Italian Restaurant')
  • Full Opening Hours by Day
  • Geographical Coordinates (Latitude and Longitude)
  • Service Options (e.g., Delivery, Dine-in, Takeout)
  • Payment Methods Accepted
  • Amenities and Accessibility Information
  • Optional: Employee contact details (name, title, email) from company website
  • Optional: Social media profile details (Facebook, Instagram, etc.)
  • Build a lead list of all plumbers in Boston, including their phone numbers and websites.
  • Analyze competitor restaurant ratings and opening hours in a specific neighborhood.
  • Identify all local businesses in a zip code that don't have a website for a web design agency's outreach campaign.
  • Map all coffee shops with a 4.5+ star rating for a city guide or research project.
  • Gather contact information and social media profiles for local businesses for a B2B sales campaign.
  • Monitor brand presence and customer reviews across multiple locations for a franchise.
  • Identify businesses with specific amenities, like 'wheelchair accessible parking', for market research.

Field Dictionary

How To Run This Extractor

1

Enter one or more search terms, like 'pizza' or 'bookstore'.

2

Specify the city and country you want to search within.

3

Set the number of results you want to get for each search term.

4

Optionally, apply filters such as a minimum star rating or choose to scrape only businesses with websites.

5

Enable paid add-ons to get deeper data like employee contacts or social media profiles.

6

Run the tool and download your data as a spreadsheet (CSV, Excel) or JSON file.

Frequently Asked Questions

How technical do I need to be to use this?
No coding is required. You can configure everything through a simple web interface by filling in fields for what you want to search and where.
What formats can I export the data in?
Is it legal to extract data from Google Maps?
How many places can I extract at once?
Can I use this data for my clients?
How is this different from just searching on Google Maps myself?
How fresh is the data?
Can I schedule it to run automatically?
How does the pricing work?
What does the 'Company contacts enrichment' add-on provide?
What is the difference between using 'Search terms' and 'Place categories'?