Collecting local business information directly from Google Maps often involves manually copying details one by one. It’s a slow process, especially when you need data for market research, lead generation, or competitor analysis.

There's a much faster way.

Datablist's Google Maps Scraper automates this task. It lets you pull detailed business information from Google Maps straight into a usable spreadsheet format, and you don’t need any coding skills to do it.

Let me walk you through how it works.

Get Local Business Data in Minutes

Google Maps contains details about local businesses. Gathering this information manually – like names, addresses, phone numbers, websites, and reviews – can take hours or days.

The Google Maps Scraper handles this automatically.

  • Simple to use: Just provide your keywords and locations.
  • Fast data collection: Extract details for thousands of businesses quickly.
  • Rich information: Get phone numbers, websites, ratings, review counts, addresses, and more.

Here’s how you can start using the Google Maps Scraper in Datablist.

Step-by-Step Guide: How to Use the Google Maps Scraper

Datablist helps you extract data and build lists easily. Follow these steps to get business data from Google Maps.

1. Create a New Collection & Select Source

First, log in to Datablist and create a new collection. This is where your extracted data will be stored. After creating it, open the Sources list and choose the Google Maps Scraper.

Select Google Maps Source in Datablist
Select Google Maps Source in Datablist

2. Configure Your Search: Keywords & Locations

Next, tell the scraper what kind of businesses and locations you're interested in.

  • Keywords: Enter the business types (e.g., "plumber," "italian restaurant").
  • Locations: Specify the areas you want to search. Important Tip: Use ZIP Codes for Better Coverage! Searching a broad area like a whole city might only give you partial results from Google Maps. For more complete data, break down your target area into ZIP codes. You can use a free tool like Claude.ai to list all ZIP codes for a city or district. Paste this list into the location field, one ZIP code per line. This helps the scraper find more businesses by searching smaller zones thoroughly. Check our article about how to use AI to get multiple zip codes for the Google Maps scraper.
  • Country & Language: Select the target country and the language for your search.
Enter Keywords, Locations, and Country in Datablist Google Maps Scraper
Enter Keywords, Locations, and Country in Datablist Google Maps Scraper

Click "Continue" after setting this up.

3. Choose Your Data Fields (Outputs)

Decide what information you need for each business (e.g., Name, Phone Number, Website, Rating). Click the "+" button to add fields from the list. It's best to only select the fields you actually plan to use.

Check and Configure Output Fields in Datablist
Check and Configure Output Fields in Datablist

Then, create the scraping task.

4. Run the Scraper & Monitor the Task

Click "Run import now". Datablist will begin scraping Google Maps based on your settings. You can check the progress in the "Enrich -> Async Run" section.

Check the Running Task in Datablist
Check the Running Task in Datablist

5. View Your Extracted Data

Once the task finishes, your collection will contain the scraped business data in a structured table.

View Clean Scraped Results in Datablist Collection
View Clean Scraped Results in Datablist Collection

You can also see the specific search query (keyword + location + country) used for each result, which is helpful for verification.

See Query Used for Each Result
See Query Used for Each Result

What Data Can You Extract from Google Maps?

The Google Maps Scraper provides access to a variety of useful details:

  • Basic Info: Name, Place ID, Link to Place
  • Contact Details: Phone Number, Website
  • Location: Full Postal Address, Coordinates, Timezone
  • Business Details: Description, Place Type, Subtype, Business Status (Open, Closed), Verification Status
  • Customer Feedback: Rating, Number of Reviews, Link to Reviews
  • Operations: Working Hours
  • Booking/Reservations: Booking Link, Reservation Link (if available)
  • Visuals: Main Place Photo, Photos Count

This data gives you a solid foundation for analysis or outreach.

How to Export Google Maps Data to Excel or CSV

Getting your data out of Datablist is easy. After the scraper is done:

  1. Look over the results in your collection.
  2. Click the "Export" button.
  3. Choose either Excel (.xlsx) or CSV format.
  4. Download the file.

Now you have the Google Maps data ready for use in spreadsheets, CRM software, or other tools.

How Can You Use the Google Maps Scraper?

This tool is useful in many situations:

  • Lead Generation: Find local businesses matching your target profile. Get contact info like phone numbers and websites to build outreach lists.
  • Market Research: Analyze the business environment in an area. See how many businesses of a certain type exist, check their hours, and look at customer ratings.
  • Competitor Analysis: Monitor your competitors. Find their locations, review their online presence via Google Maps, and see their customer feedback.
  • Building Business Directories: Collect listings for specific industries or areas to create specialized directories.
  • Data Enrichment: If you already have a list of business names, use the scraper to fill in missing details like addresses or phone numbers.

Pricing: Simple and Affordable

Using the Google Maps Scraper is cost-effective.

  • It uses a credit system. The Google Maps Scraper cost 4 credits per result.
  • The Google Maps Scraper cost 4 credits per result. For example, getting around 2,000 business listings use 8,000 credits.
  • $20 provides 20,000 credits, so with $20 you can scrape 5,000 businesses.

Frequently Asked Questions (FAQ)

Scraping publicly available data, like business listings on Google Maps, is generally permissible for standard business uses such as market research or lead generation. It’s important to scrape responsibly: avoid overwhelming the service, use the data ethically, and respect privacy considerations.

What information can I scrape?

You can extract public details like business names, addresses, phone numbers, websites, categories, hours, ratings, review counts, and more.

What's the best tool for scraping Google Maps?

  • Datablist (Recommended): Easy to use, no coding needed, reliable, and affordable. Great for most people needing Google Maps data.
  • Google Maps Platform APIs: The official route, but requires technical setup and can be costly depending on usage.
  • Custom Scripts (Python, etc.): Very flexible but demands programming skills and regular updates.

How can I use the scraped data effectively?

  • Sales: Create lists of potential customers for outreach.
  • Marketing: Plan local campaigns or understand regional markets.
  • Analysts: Research competitors or market trends.
  • Directory Builders: Gather listings for online directories.
  • Operations: Verify business information or identify potential partners.

Remember to review and possibly clean the data before using it for critical decisions.

Start Scraping Google Maps Data Today 🚀

Save time on manual data entry. Use Datablist's Google Maps Scraper to gather local business information efficiently.