How to Use the Google Maps Scraper (Step by Step)
Google Maps is the richest local business directory on the planet, packed with names, phone numbers, websites, ratings, and addresses for almost every company in every city. The hard part is getting that data out of the map and into a usable list. The LeadStal Google Maps Scraper does exactly that, turning any search result into a clean spreadsheet in a couple of clicks.
This guide walks you through the full workflow, from installing the free Chrome extension to launching personalized outreach to the leads you collect. Extracting and exporting the data is completely free, so you can build entire local prospect lists without paying anything. You only pay when you are ready to send messages, with AI outreach starting at $9.99 per month.
Step by step
Install the free Google Maps Scraper extension
Add the LeadStal Google Maps Scraper to Chrome from the install page. It is free, installs in seconds, and pins a small icon to your toolbar. No account upgrade or credit card is needed to start scraping.
Open Google Maps
Head to maps.google.com in the same browser tab. The extension activates automatically once it detects you are on a Google Maps page, so you will see the LeadStal panel ready to go.
Search for your target businesses
Type a query like 'dentists in Austin' or 'plumbers near Miami' into the Google Maps search bar. Scroll the results panel so the map loads the listings you want to capture, including the neighboring pages of results.
Click Extract to pull the listings
Open the LeadStal panel and press Extract. The scraper reads every visible business card and collects the name, phone number, website, email where available, full address, rating, and review count automatically.
Review the extracted business data
Scan the results table inside the panel. Confirm the phone numbers and emails look correct, remove any listing outside your target area, and deduplicate near-identical entries before you move on.
Export to CSV or push to LeadStal
Click Export to download a clean CSV of your Google Maps leads, ready for any CRM or spreadsheet. You can also send the list straight into your LeadStal dashboard to keep everything in one place.
Launch AI-personalized outreach
From LeadStal, turn your scraped list into AI-written emails tailored to each business and its location. Extracting was free, and sending these personalized campaigns starts at $9.99 per month.
Pro tips
- Zoom into a tighter area on the map before extracting so Google Maps surfaces more local listings and fewer national chains.
- Run several focused searches such as one trade per city instead of one giant query, which gives cleaner, more relevant lead lists.
- Sort by review count after exporting to prioritize established businesses that are more likely to have budget for your offer.
- Cross-check listings missing an email against their website, since many Google Maps businesses publish contact addresses on their own pages.
Questions, answered
Is the Google Maps Scraper free?
Yes. Installing the extension and extracting business data from Google Maps is completely free. You only pay if you choose to send AI-personalized outreach, which starts at $9.99 per month.
What data does it pull from Google Maps?
It captures business names, phone numbers, websites, available email addresses, full street addresses, star ratings, and review counts from the listings in your search results.
Do I need any coding skills to use it?
No coding at all. You search on Google Maps as you normally would, click Extract, then click Export. The whole process happens inside your browser with simple buttons.
Can I export the leads to CSV?
Yes. Every extracted list can be downloaded as a CSV file that opens in Excel, Google Sheets, or any CRM, and you can also push it directly into your LeadStal dashboard.
How accurate is the scraped data?
The scraper reads the live information Google Maps shows for each listing, so it is as current as the businesses keep their own profiles. Reviewing the table before export lets you remove anything that looks outdated.