oogle Maps is a powerful software by Google and can be used for more than finding directions. There are a lot of people who would like to get the data (scrape or crawl) from Google Maps and use it for marketing and outreach purposes. Doing this manually would be incredibly time-consuming. However, in this post, I will show you how to exactly automate the entire scraping process and get the most accurate list of businesses in your local region. Most importantly, no coding skill is needed!
What is Google Maps Data Scraping?
Google Maps data scraping is the process of extracting data from Google Maps. This can be done manually by copying and pasting the business information from the Google Maps search results individually, or by using a Google Maps data scraping tool. The second option is the more efficient method that I personally prefer, with modern technology, the entire process can be automated and make it faster and easier for you.
What types of data can you exact from Google Maps?
You can extract various types of information from a Google Maps API. (either manually or with scraping tools).
Some of these datapoints includes:
- Business Name
- Type of Business (Category)
- Business Phone Number
- Full Address (City, State, Zip Code)
- Review Counts
- Google Place ID
- Review Rating
- Review Photo Views
- Latitude and Longitude
- Location, Review Links
- Business Email
- Working Hours
- Verification Status
- much more...
Data can be scraped in two ways. The first way involves manually finding the correct URL in a website and then using a browser to copy and paste it into your code scraper tool.
However, this method is tedious as you must do each step manually. A better approach would be to use a scraper tool. This method allows you to take the data from any website that has Google Maps API enabled without having to find the correct business listing.
Use Cases for Scraping Google Map Data
I often get asked, "What do I do with the scraped data from Google Maps?"
The sky is the limit, you need to be really creative and think about how to use the data for your own marketing or business purpose.
To give you some ideas, here is a list of best use cases for using scraping tool:
- Scraping Google Maps Reviews From Local Small Business
- Finding New Clients for Web Design Services
- Finding Companies with Negative Reviews on Google Maps
- Lead Generation (aka. Lead Gen) Agencies Finding Local Leads
- Offer web design or SEO (Search Engine Optimization) services
- Creating a Business Directory
Important Note (Disclaimer)
Depends on location, scraping data in certain country is illegal, so make sure you consult with lawyer or read more about the law and regulation. The information presented in this post is for education purpose. Here are a few things you need to be aware of in terms of outreach businesses with Google Maps data:
- Do NOT Spam People or Businesses
- Don't Send Too Many Requests in a Short Period of Time
- Legitimate Interest
- Don't Breach GDPR, CAN-SPAM, CASL, etc
- Consult with Your Local Lawyer/Law
The Best Google Maps Scraping Tool (No Code)
There're tons of scraping tool options in the market, some of them require coding skills and some don't.
My personal favorite has always been OutScraper. It makes the entire scraping task so easy and with only a few clicks.
What is OutScraper?
Outscraper provides fast and reliable data on Google Maps locations, in a simple and intuitive interface. The platform has advanced features, yet is user-friendly enough. In the last 12 months, we used Outscraper to extract relevant public data regarding 120,000+ locations.
Here is some of the main features Outscraper has to offer:
- Google Maps Data Scraper
- Google Search Scraper
- Emails & Contacts Scraper & Validation
- Phone Number Validator
- Email Verifier
- Amazon Products Scraper
How to Extract The Results into Google Sheets
Recently, I made a detailed tutorial on how to use Outscraper to extract Google Maps results into an Excel or Google Sheet. The entire process is straightforward and easy to follow, make sure you watch this video to learn more about scraping data with Outscraper: