What is a Google Maps Data Scraper?
A Google Maps data scraper extracts business listing information from Google Maps — names, addresses, phone numbers, websites, ratings, review counts, opening hours, and categories — and compiles it into a structured spreadsheet. Sales teams use it to build local prospect lists. Marketers use it for competitor location analysis. Recruiters use it to find companies in specific industries and regions.
Google Maps is one of the richest public data sources on the internet. Every business with a Google Business Profile is indexed — millions of companies across every industry and city in the world. And unlike many platforms, Google Maps can be scraped with a no-code tool because it serves listing data as visible HTML that an AI scraper can parse. There is no official "scraping" API — Google's Places API is the legitimate programmatic access path, but it charges per request and has usage quotas, but the data on the page is public and extractable.
Google Maps frontend is not an official API. There is no guaranteed uptime, no SLA, and Google may change the page structure at any time. Additionally, Google rate-limits aggressive scraping. For personal research and building lead lists of hundreds to low thousands of records, it works well. For scraping millions of listings, you need a dedicated service (like Apify's Google Maps Scraper Actor) or Google's official Places API (which costs money and has usage quotas).
Two Ways to Extract Google Maps Data
| Method | Best For | Cost | Scale |
|---|---|---|---|
| AI Scraper (No-Code) | Extracting visible listing data from Google Maps search results. Building lead lists. | Free (with EasyClaw Scrapling) | Hundreds to low thousands of listings per session. |
| Google Places API (Official) | Programmatic access to business data with structured JSON responses. Fully compliant. | $0.017–$0.04 per request (first $200 free monthly) | Up to 1,000 req/day by default (expandable via Google Cloud quota request). |
What Google Maps Data Can You Extract?
When you scrape a Google Maps search result page, here's the data that's typically visible and extractable:
| Data Field | Availability | Example Use |
|---|---|---|
| Business name | ✅ Always visible | Lead list building |
| Address | ✅ Usually visible (some list only city) | Geo-targeted sales |
| Phone number | ✅ Usually visible on detail cards | Cold outreach |
| Website URL | ✅ If the business has listed one | Website prospecting |
| Rating & review count | ✅ Always visible | Quality filtering |
| Opening hours | ⚠️ Requires clicking into each listing | Operational filtering |
| Reviews (text) | ⚠️ Limited — top 3-5 reviews visible per listing | Sentiment analysis |
Top 5 Google Maps Scraping Tools in 2026
Here are the most capable tools for extracting business data from Google Maps, compared across the dimensions that matter.
| Tool | Best For | Setup | Pricing | No-Code? |
|---|---|---|---|---|
| 1 EasyClaw (Scrapling) | Desktop AI agent — chat-driven Google Maps scraping with auto-scroll & export | Add skill → type instruction → done | One-time purchase | ✅ Yes |
| 2 Apify Google Maps Scraper | Cloud scraping — pre-built Actor for Google Maps with large-scale extraction | Configure search query + max results → run | Free / $49/mo | ✅ Yes |
| 3 Outscraper | Dedicated Google Maps scraping service with bulk search & API access | Enter location + category → download CSV | $0.001/record | ✅ Yes |
| 4 Phantombuster | Cloud automation with Google Maps scraping workflow templates | Select template → configure inputs → run in cloud | $69/mo | ✅ Yes |
| 5 Instant Data Scraper | Free Chrome extension for quick, small-scale scraping directly in browser | Install extension → open Maps → click scrape | Free | ✅ Yes |
How to Choose the Right Google Maps Scraper
Choose EasyClaw (Scrapling) if: You want a desktop-native tool you control through chat. No cloud uploads, no per-record fees. Best for building lead lists of hundreds to low thousands of businesses, with automatic Excel/CSV export.
Choose Apify if: You need large-scale extraction (thousands of records) and prefer a battle-tested cloud Actor with built-in proxy rotation to handle Google's rate limiting.
Choose Outscraper if: You need a dedicated Google Maps API with pay-as-you-go pricing and don't want to manage any scraping infrastructure. Good for integrating Maps data into applications.
Choose Instant Data Scraper if: You need a quick, free Chrome extension for extracting a small number of listings right in your browser — no installation beyond the extension, no learning curve.
How to Scrape Google Maps Data with EasyClaw
Using EasyClaw's Scrapling Web Data Extraction skill, you can extract Google Maps business listings by describing what you want in plain English. ✅ Advantage: Google Maps doesn't require login for basic search. Unlike Instagram, Twitter/X, or LinkedIn, most listing data is publicly visible without authentication. This makes it one of the most accessible platforms for scraping.
Step 1: Build Your Google Maps Search URL
First, do a manual search on Google Maps for your target businesses. Then copy the URL. For example:https://www.google.com/maps/search/restaurants+in+Austin+TXhttps://www.google.com/maps/search/dentists+near+Chicago
The URL pattern is google.com/maps/search/[what]+in+[where] or google.com/maps/search/[what]+near+[where].
Step 2: Enable the Scrapling Skill
Open EasyClaw → Skills → search for "Scrapling Web Data Extraction" → Add.
Step 3: Tell EasyClaw What to Extract
Go to Chat and describe your task:
You: Go to [Google Maps URL], open each listing to get the website URL and opening hours. Extract name, phone, website, hours, and rating. Limit to the first 50 businesses. Save to CSV.
Step 4: Scrapling Extracts the Data
Scrapling:
1. Loads the Google Maps search URL
2. Scrolls through the left-panel listing results to load more businesses
3. Extracts the visible data fields for each listing
4. (If requested) clicks into individual listings to get detail-page data like website URLs and hours
5. Writes everything to a structured spreadsheet
For a typical search returning 100-200 listings, the extraction takes 3-8 minutes depending on whether you request detail-page data.
Step 5: Scale Across Multiple Searches
To build a large lead list across multiple cities or categories, run separate searches as separate chat instructions. You can also use Cron Tasks to re-run the same search weekly to capture new businesses. Because EasyClaw runs locally, each session is independent — there's no cloud queue or usage billing.
Google Maps Scraping Best Practices
Use Specific Search Queries
"Restaurants in Austin TX" gives cleaner results than "food near me". The more specific your search, the more relevant and complete the extracted data will be.
Extract in Batches
For large lists, break into multiple searches: "Dentists in Chicago zip 60601", "Dentists in Chicago zip 60602", etc. Smaller batches are faster and less likely to hit rate limits.
Respect Rate Limits
Google Maps frontend rate-limits more aggressively than the API. Scrapling runs at human browsing speed. Expect 100-300 listings per session. If you need thousands, spread across multiple sessions.
Verify Phone Numbers
Google Maps phone numbers are user-submitted and sometimes outdated. Always verify critical contact data before using it for outreach. Consider running scraped numbers through a phone validation service.
Frequently Asked Questions
Conclusion
Google Maps is one of the world's largest business directories, and extracting its listing data for lead generation, market research, and competitive analysis is a practical use case for no-code AI scraping. While there is no official free API, the publicly visible listing data can be collected with tools like EasyClaw's Scrapling through simple natural language instructions.
The key to success: use specific search queries, work in reasonable batch sizes, respect the platform's rate limits, and verify critical contact data before acting on it. Start with a single city, one category — and see how many qualified leads are already waiting in Google Maps.