AI-Powered Google Maps Data Extractor – 50+ Fields Per Listing
BrezelScraper uses AI-driven browser automation to extract data from Google Maps that the official Places API cannot return — emails, full reviews, business photos, owner responses, and 30+ more fields. Delivered as a clean CSV at industry-lowest pricing: $4 per 1,000 places.
Why Extract Data from Google Maps with AI Instead of the API?
The official Google Places API does not return user review text, reviewer names, business photos, owner responses, email addresses, or complete opening hours. It exposes a limited subset of what you actually see on a Google Maps listing page. BrezelScraper extracts everything visible — because it uses AI-powered browser automation, not the restricted API.
The cost difference is equally significant. The Google Places API charges $17+ per 1,000 Place Details requests. BrezelScraper's Google Maps data export costs $3.00 per 1,000 places — over 5x cheaper — and returns more data per record. There is no Google Cloud project to configure, no API key to manage, and no developer setup. Enter a search query and the AI handles the rest.
Google Places API vs BrezelScraper
- Business name
- Address
- Phone number
- Rating (numeric)
- Review count
- Place ID
- Categories
- Website URL
- Price level
- Coordinates
- Everything the API returns
- Email addresses
- Full review text
- Reviewer names
- Owner responses
- Business photos
- Complete opening hours
- Google CID
- Plus codes
- And 23+ more fields
BrezelScraper's AI agent navigates Google Maps in a real browser, handling dynamic JavaScript rendering, infinite scroll pagination, and CAPTCHA solving automatically. When Google Maps changes its UI, the AI auto-adapts — no manual scraper maintenance required. This makes it the most reliable way to extract data from Google Maps at scale, whether you need 100 records or 100,000.
For teams that need automated data pipelines, BrezelScraper provides a REST API and webhook system. Schedule recurring extraction jobs, receive webhook notifications when data is ready, and export directly to Google Sheets — or consume results via the API for custom integrations with platforms like n8n, Make, and Zapier.
What Can You Do with Google Maps Business Data?
Lead Generation
Build targeted prospect lists for B2B sales outreach. Extract business names, phone numbers, emails, and websites from any industry and location. Get data the Google Places API withholds — like email addresses and full review histories — to qualify leads before first contact.
Market Research
Map the competitive landscape in any geographic area. Count competitors, analyze pricing tiers (via Google's price level field), and read customer sentiment from full review text and owner responses — data you cannot get from the Places API.
Local SEO Audits
Extract Google Maps business data for competitors in your niche to benchmark listing performance. Compare review counts, ratings, category coverage, and photo volume to identify ranking opportunities and content gaps.
AI-Powered Data Enrichment
Combine extracted Google Maps data with AI to score leads by review sentiment, predict customer churn from rating trends, or segment markets by business density and category mix. Feed 50+ structured fields directly into your ML pipeline.
CRM Enrichment
Enrich existing contact lists with Google Maps data. Match company names to their Google Maps profiles and append missing phone numbers, addresses, emails, and ratings — all at $4 per 1,000 records.
Real Estate & Site Selection
Analyze the business density and types near a target location. Extract data on nearby competitors, amenities, and services — including photos and customer reviews — to support commercial real estate and franchise expansion decisions.
Workflow Automation
Connect BrezelScraper to your existing tech stack via REST API and webhooks. Trigger extraction jobs programmatically, receive real-time completion notifications, and pipe results directly into your CRM, data warehouse, or automation platform. Works with n8n, Make, Zapier, and any HTTP-capable tool.
Extract Data from Google Maps in 3 Steps
Enter Your Search Query
Type the business type and location you want to extract data from — for example, "dentists in Chicago, IL" or "car dealerships in Los Angeles". Add multiple queries to a single job. No API keys or developer setup required.
Choose Your Data Fields
Select which fields to extract. Core data (name, address, phone, rating) is included by default. Add email extraction, full reviews with reviewer names and owner responses, and business photos as optional enrichments — each priced separately.
Export and Use Your Data
Once the AI-powered extraction completes, download your structured CSV or export directly to Google Sheets. All data is ready to import into your CRM, outreach platform, or analytics tool — no post-processing needed.
Industry-Lowest Pricing for Google Maps Data Extraction
At $3.00 per 1,000 places, BrezelScraper is the lowest-priced Google Maps lead extractor on the market — 5x cheaper than the Google Places API and 60–80% less than competing scraping tools. Pay as you go, no subscriptions, no monthly minimums.
Google Maps Data Extraction – Common Questions
BrezelScraper extracts 50+ data fields per listing including business name, phone number, full address, website, email address (from the business website), star rating, review count, full user review text with reviewer names and owner responses, business photos, categories, complete opening hours, coordinates, price level, Google CID, and more. Many of these fields — like emails, review text, photos, and owner responses — are not available through the official Google Places API.
BrezelScraper uses AI-powered browser automation to navigate Google Maps exactly like a human would. The AI handles dynamic JavaScript rendering, infinite scroll pagination, and CAPTCHA solving automatically. It searches for your keywords, opens each listing, extracts all visible data fields, and optionally visits the business website to find email addresses. Because it reads the full rendered page, it captures data the Google Places API cannot return. Results are delivered as a downloadable CSV.
Yes. Every BrezelScraper job produces a clean CSV export that opens directly in Excel, Google Sheets, or any spreadsheet tool. You can also export results to Google Sheets automatically through our native integration.
There is no hard limit on the number of records per job. You can set a maximum results count per keyword and configure the scraping depth (pages 1–20). Large jobs with thousands of records run automatically in the cloud.
Yes. A single job can contain multiple search queries, each targeting different business categories and locations. BrezelScraper runs all queries concurrently and aggregates the results into a single downloadable file.
Yes. The Google Places API charges $17+ per 1,000 requests through its SKU-based pricing (Place Details costs $17 per 1,000 calls). BrezelScraper costs $3.00 per 1,000 places — over 5x cheaper. BrezelScraper also returns data the API does not expose, including email addresses, full review text with reviewer names, owner responses, and business photos. No Google Cloud project or API key setup is required.
BrezelScraper uses AI-driven browser automation to extract Google Maps data. The AI agent navigates Google Maps in a real browser, handling dynamic JavaScript rendering, infinite scroll pagination, and CAPTCHA challenges automatically. When Google Maps updates its UI or layout, the AI auto-adapts without requiring manual scraper maintenance. This approach ensures higher extraction reliability and captures every data field visible on a listing page.
Yes. BrezelScraper provides a full REST API for creating jobs, checking status, and downloading results programmatically. Webhooks notify your systems when jobs complete. You can integrate with n8n, Make, Zapier, Google Sheets, and any platform that accepts HTTP requests. Airtable and Slack integrations are coming soon.
Ready to Extract Your First Dataset?
Start with free credits — no credit card required. Use AI-powered Google Maps data extraction for any industry or location and have your first CSV ready in minutes.