How to Scrape Google Maps with Apify (2026 Guide)

Quick answer: what can you scrape from Google Maps?

Apify's Google Maps Scraper extracts: business name, address, phone number, website URL, rating, review count, categories, hours, price range, latitude/longitude, and photos. You can search by keyword + location (e.g., "coffee shops in Austin TX") and extract hundreds of results in minutes. The data is structured as JSON or CSV, ready for your CRM or outreach tools.

For B2B lead generation, this means you can build a list of 500 plumbers in Chicago with phone numbers and emails in 10 minutes — work that would take a human 2+ days of manual Google searching.

Step-by-step: scraping Google Maps with Apify

Here is the complete workflow from search to exported data:

1. Create a free Apify account at apify.com (free tier includes $5/month of usage) — Create a free Apify account at apify.com (free tier includes $5/month of usage)
2. Go to Apify Store and search for "Google Maps Scraper" — look for the actor by Apify (official) or well-reviewed community actors — Go to Apify Store and search for "Google Maps Scraper" — look for the actor by Apify (official) or well-reviewed community actors
3. Click "Try for free" to open the actor configuration page — Click "Try for free" to open the actor configuration page
4. Enter your search query In the "searchStrings" field, type your search terms. Example: ["coffee shops in Austin TX", "restaurants in Brooklyn NY"]
5. Set max results In "maxCrawledPlaces", set the number of results you want. Start with 50 for testing, increase to 500+ for production
6. Configure additional options Set language, country code, and whether to extract reviews (extractReviews: true adds more data but uses more compute)
7. Click "Start" — the actor begins scraping. Progress is shown in real-time — Click "Start" — the actor begins scraping. Progress is shown in real-time
8. Wait for completion 50 results takes ~1 minute, 500 results takes ~5-10 minutes
9. Export data Click the "Dataset" tab, choose export format (JSON, CSV, Excel, HTML), and download
10. Clean data Open in Excel or Google Sheets. Remove duplicates, filter by rating/review count, sort by category

Data fields available from Google Maps scraper

The Apify Google Maps Scraper extracts these fields per business:

• Business name: The official business name as shown on Google Maps
• Address: Full street address including city, state, zip code
• Phone number: Primary phone number (valuable for cold calling)
• Website URL: Business website if listed (valuable for email finding)
• Rating: Star rating from 1-5 (filter for 4.0+ to target quality businesses)
• Review count: Total number of reviews (indicator of business size and activity)
• Categories: Business categories (e.g., "Coffee shop", "Cafe", "Breakfast restaurant")
• Opening hours: Full weekly schedule (useful for outreach timing)
• Price range: $ to $$$$ (useful for B2B segmentation)
• Latitude/longitude: GPS coordinates (useful for mapping and radius analysis)
• Photos: URLs of business photos (useful for competitive analysis)
• Google Maps URL: Direct link to the Maps listing
• Reviews (optional): Full review text, author, date, rating (requires extractReviews: true)

Search strategies for maximum coverage

Google Maps search results vary by query. To maximize coverage of a market, use multiple search strategies:

• Keyword + location: "dentists in Miami FL" — the basic search pattern
• Category + location: "dental clinic Miami" — uses Google's category system
• Brand + location: "Starbucks in Chicago" — find all locations of a specific brand
• Service + location: "emergency dental repair Miami" — targets specific services
• Neighborhood-level: "coffee shops in Williamsburg Brooklyn" — more granular than city-level
• Multiple locations: Run separate searches for each city/neighborhood you target
• Category variations: "law firm", "lawyer", "attorney", "legal services" — different terms return different results
• Combine and deduplicate: Run 5+ search variations, combine results, and remove duplicates by phone number or website

Turning scraped data into leads

Raw Google Maps data is useless without a process to convert it into actionable leads:

• Filter for quality: Remove businesses with <3.0 rating or <10 reviews. These are either new or low-quality — not ideal targets
• Filter for website: Businesses with websites are more likely to respond to digital outreach. Separate those without websites for cold calling
• Find emails: Use the scraped website URL with an email finder tool (Hunter.io, Apollo, Snov.io) to find contact emails
• Segment by category: Group businesses by category for targeted outreach. "Coffee shops" get a different pitch than "restaurants"
• Prioritize by review count: Businesses with 50-200 reviews are established but may not have sophisticated marketing. Ideal B2B targets
• Enrich data: Cross-reference with LinkedIn to find the business owner or marketing manager for personalized outreach
• CRM import: Import the cleaned list into your CRM (HubSpot, Pipedrive, Airtable) with all fields mapped
• Outreach sequence: Send personalized emails referencing their Google Maps rating or review count. "Saw your 4.8 rating on Google Maps — impressive. I help businesses like yours..."

Marketing use cases for Google Maps data

Beyond lead generation, Google Maps data powers several marketing strategies:

• Local SEO competitive analysis: Scrape all businesses in your category + location. Compare ratings, review counts, and categories to find gaps
• Market saturation analysis: Count businesses per category per neighborhood. Identify underserved areas for expansion
• Review monitoring: Scrape competitors' reviews monthly to track sentiment and identify their weaknesses
• Outreach list building: Build targeted lists for cold email, cold calling, or direct mail campaigns
• Geographic targeting: Use lat/long data to map business density and plan geo-targeted ad campaigns
• Niche discovery: Search for emerging categories (e.g., "bubble tea shop", "cold plunge studio") to spot trends
• Partnership identification: Find complementary businesses (e.g., gyms + nutrition stores in the same area) for cross-promotion
• Price monitoring: Track price ranges ($ to $$$$) across competitors in your area

Cost and API usage

Apify charges based on compute units (CPU-seconds). Google Maps scraping costs depend on result count:

• 50 results: ~$0.10-0.20 in compute costs
• 500 results: ~$1-2 in compute costs
• 5,000 results: ~$10-20 in compute costs
• Free tier: $5/month included — enough for ~2,500 results per month
• Starter plan: $49/month includes $49 of usage — enough for ~25,000 results per month
• Compare to lead databases: ZoomInfo costs $4,000+/year. Apollo costs $49-$99/month. Apify + email finder costs $50-$100/month for unlimited leads
• ROI: One closed client from scraped leads covers years of Apify subscription