LAGIC
Lead Audience Growth Intelligence Computing
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Google Maps Scraper — Google Maps | Lagic

Built ForMarketing & AdvertisingReal EstateFranchise & Retail

Generate local business lead lists from any area, complete with contact details, ratings, and reviews.

Curated by Lagic·Verified working

Configure Agent

Location to search (e.g., 'LA, California', 'New York, NY', 'Paris, France'). Will be geocoded to coordinates.

If provided, uses Text Search (e.g., 'best pizza'). If empty, uses Nearby Search to find all places in the area.

If enabled, extracts business phones, emails, and social media profiles. Takes longer to process and incurs additional billing charges. See pricing details for more information. **Note:** Not guaranteed all locations will return contact details. *Method: scrape emails and contacts from the business website (in case non-empty)*

Maximum number of places to return

If enabled, all places from the location will be scraped. Maximum results will be ignored.

Filter by place types. When using **Search Query**, only the first type is used.

Exclude specific place types (only works with if no **Search Query** is provided)

Filter by primary place types (only works if no **Search Query** is provided)

Results to deliver

800 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

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

Sample Data Preview

Business name, full address, and phone numberWebsite URLLatitude and longitude coordinatesOverall star rating and total number of reviewsFull text of individual user reviews with author namesRegular and current opening hours
Sample Text...https://...Value...789Sample Text...Value...
Sample Text...https://...Value...70Sample Text...Value...
..................
Exports as:CSVXLSXJSON

Overview

Scrape Google Maps for business names, addresses, ratings, and contact information by providing a location and optional search query. Ideal for local lead generation and market research.

This tool extracts public data about businesses from Google Maps. You can target a broad geographic area like a city or zip code, or provide a specific search query like 'plumbers in brooklyn' to get a focused list. It's designed for sales teams, marketing agencies, and researchers who need structured data about local businesses. ### Two Ways to Search 1. **Nearby Search**: By providing only a location (e.g., 'Soho, London'), the tool will find all discoverable places in that vicinity. This is useful for area analysis or finding all businesses of a certain type without a specific keyword. 2. **Text Search**: By adding a search query (e.g., 'best pizza'), you get results similar to what you'd see when searching directly on Google Maps. This is best for targeted lead generation. ### Optional Contact Detail Scraping A key feature is the ability to scrape contact details. When enabled, the tool visits the website listed on each business's profile and looks for publicly available email addresses, phone numbers, and social media links. This process takes longer and has an additional cost, but it turns a simple location list into an actionable lead list. Note that contact details are not guaranteed for every business, as it depends on what's available on their website. ### Data You Can Extract Beyond the basics like name and address, the tool pulls a wide range of information. You'll get user ratings, review counts, full review text, opening hours, price levels, and business categories. It also captures specific attributes like whether a restaurant offers delivery, has outdoor seating, or if a location has wheelchair-accessible parking.

Key Capabilities

  • Business name, full address, and phone number
  • Website URL
  • Latitude and longitude coordinates
  • Overall star rating and total number of reviews
  • Full text of individual user reviews with author names
  • Regular and current opening hours
  • Business categories (e.g., 'Italian Restaurant', 'Hardware Store')
  • Price level (e.g., $, $$, $$$)
  • Links to business photos on Google Maps
  • Scraped emails and social media links (when the contact details option is enabled)
  • Accessibility details (e.g., wheelchair accessible entrance/parking)
  • Payment options (e.g., accepts credit cards, NFC)
  • Service options (e.g., delivery, takeout, dine-in)
  • Build a lead list of all restaurants in a specific zip code for a food delivery service.
  • Conduct market research on the number and ratings of coffee shops in a city before opening a new one.
  • Compile a list of all accounting firms in a downtown area for B2B sales outreach.
  • Identify all local businesses with low user ratings to offer reputation management services.
  • Create a dataset of all EV charging stations in a region, including connector types and charging speeds.
  • Map out all competitors for a retail chain to analyze store density and market saturation.
  • Provide a real estate client with a list of all nearby parks, gyms, and grocery stores for a property listing.

Field Dictionary

How To Run This Extractor

1

Enter a target location, such as 'San Francisco, CA' or a specific zip code.

2

Optionally, add a search query like 'bakeries' to narrow your results.

3

Check the 'Include Contact Details' box if you need emails and social media links from business websites.

4

Set the maximum number of results you want, or choose to scrape all available places.

5

Click 'Run' to start the extraction process.

6

Download your complete dataset as a CSV, JSON, or Excel file once the run is finished.

Frequently Asked Questions

Do I need to know how to code?
No, this is a no-code tool. You configure your search using a simple web form.
What format can I export the data in?
Is it legal to scrape Google Maps?
How many places can I scrape at once?
Can I use this for client work?
Why don't all businesses have scraped emails and phone numbers?
What's the difference between using a 'Search Query' and not using one?
How reliable is the data?
Can I schedule this tool to run regularly?
How is cost determined?