🗺️ Fast Google Maps Scraper & Email Extractor

The most complete Google Maps Scraper on Apify. Extract business name, category, rating, reviews, phone, address, website, email, working hours, photos, and GPS coordinates from any Google Maps search or place URL — with built-in email harvesting from business websites. No login. No API key. Bulk-ready.

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📌 Table of Contents

• What Is This Actor?
• Why Use This Google Maps Scraper?
• Use Cases
• Input Parameters
• Output Fields
• Example Input & Output
• Email Extraction Feature
• Photo Scraping Feature
• How It Works
• Performance & Limits
• FAQ
• Changelog
• Legal & Terms of Use

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🔍 What Is This Actor?

Fast Google Maps Scraper & Email Extractor is a production-grade Apify actor that turns any Google Maps search query or place URL into a clean, structured business dataset — complete with contact details, engagement metrics, location data, and photos.

Unlike basic Google Maps scrapers that stop at name and phone number, this actor goes a step further: it visits each business's own website to automatically extract email addresses from contact pages, mailto links, and page text — giving you the one field most Google Maps scrapers miss entirely.

Provide search queries like "coffee shops in Austin TX" or direct Google Maps place URLs, and receive back a structured record for every business found — ready for CRM import, lead generation, market research, or local SEO analysis.

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🚀 Why Use This Google Maps Scraper?

Feature	This Actor	Basic Scrapers	Google Maps API	Manual Research
Business name, phone, address	✅	✅	✅	✅ Slow
Email from business website	✅ Auto	❌	❌	✅ Very slow
Rating & reviews count	✅	⚠️	✅	❌
GPS coordinates	✅	⚠️	✅	❌
Working hours	✅	❌	✅ Paid	❌
Business photos	✅ Up to 5	❌	✅ Paid	❌
Search query support	✅ Bulk	⚠️	✅	❌
Direct place URL support	✅	✅	N/A	❌
No API key or billing	✅	✅	❌ Pay-per-request	❌
Contact page crawling	✅	❌	❌	❌

Bottom line: This Google Maps Scraper is the only solution on Apify that combines Maps data extraction with automatic email harvesting from business websites — in a single run.

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🎯 Use Cases

🏆 B2B Lead Generation

• Build targeted prospect lists by scraping Google Maps for businesses in any niche or city
• Extract business email addresses automatically — no manual website visits required
• Export phone, email, website, and address into your CRM or outreach tool in one run

📊 Market Research & Competitor Analysis

• Map the competitive landscape in any city — scrape all businesses in a category with ratings and review counts
• Compare business density, average ratings, and review volume across neighborhoods or cities
• Identify market gaps by analyzing category coverage and customer engagement data

🗺️ Local SEO & Directory Building

• Build local business directories with verified NAP (Name, Address, Phone) data from Google Maps
• Collect GPS coordinates for mapping and geo-targeting campaigns
• Audit citation consistency by comparing scraped data against your own listings

🛠️ CRM & Sales Automation

• Feed scraped business data directly into Salesforce, HubSpot, or any CRM via Apify integrations
• Enrich existing contact lists with phone numbers, websites, and emails from Google Maps
• Automate prospecting workflows with scheduled actor runs targeting new business listings

🎓 Academic & Urban Research

• Study business distribution patterns across cities for urban planning or geography research
• Collect review counts and ratings for consumer behavior studies
• Build datasets of local businesses for economic mobility or gentrification research

📰 Journalism & Public Interest

• Map business closures or openings in specific neighborhoods over time
• Identify clusters of specific business types for investigative reporting
• Extract contact information for businesses involved in public interest stories

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⚙️ Input Parameters

{
  "queries": [
    "dentists in Chicago IL",
    "Italian restaurants Manhattan NY"
  ],
  "urls": [
    "https://www.google.com/maps/place/ExampleBusiness/@40.7128,-74.0060,17z"
  ],
  "max_results": 10,
  "scrape_email": true,
  "scrape_photos": true
}

Parameter	Type	Default	Description
queries	array or string	[]	Google Maps search queries — e.g. "plumbers in Dallas TX". Newline-separated string also accepted
urls	array or string	[]	Direct Google Maps place URLs to scrape individual businesses
max_results	integer	10	Maximum businesses to scrape per search query
scrape_email	boolean	true	Visit each business website to extract email addresses
scrape_photos	boolean	true	Collect up to 5 business photos from Google Maps

Tip: You can combine queries and urls in the same run. All inputs are processed together and results merged into a single output dataset.

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📋 Output Fields

Every record from this Google Maps Scraper includes:

Field	Type	Description	Example
name	string	Business name	"Joe's Coffee Roasters"
category	string	Business category from Google Maps	"Coffee shop"
rating	string	Average star rating	"4.7"
reviews_count	integer	Total number of reviews	1842
address	string	Full street address	"123 Main St, Austin, TX 78701"
phone	string	Business phone number	"+1 512-555-0199"
website	string	Business website URL	"https://joescoffee.com"
email	string	Primary email (extracted from website)	"hello@joescoffee.com"
emails	array	All emails found (if multiple)	["hello@...", "orders@..."]
hours	string	Working hours summary	"Mon–Fri 7am–6pm, Sat 8am–5pm"
latitude	float	GPS latitude coordinate	30.2672
longitude	float	GPS longitude coordinate	-97.7431
photos	array	Up to 5 high-quality photo URLs (800×600)	["https://lh3.googleusercontent.com/..."]
maps_url	string	Final resolved Google Maps URL	"https://www.google.com/maps/place/..."
source_url	string	Original URL provided as input	"https://www.google.com/maps/..."

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📦 Example Input & Output

Input:

{
  "queries": ["specialty coffee shops Austin TX"],
  "max_results": 3,
  "scrape_email": true,
  "scrape_photos": true
}

Output (one record):

{
  "name":          "Joe's Coffee Roasters",
  "category":      "Coffee shop",
  "rating":        "4.7",
  "reviews_count": 1842,
  "address":       "123 Main St, Austin, TX 78701",
  "phone":         "+1 512-555-0199",
  "website":       "https://joescoffee.com",
  "email":         "hello@joescoffee.com",
  "emails":        ["hello@joescoffee.com", "orders@joescoffee.com"],
  "hours":         "Mon–Fri 7am–6pm, Sat 8am–5pm, Sun 9am–3pm",
  "latitude":      30.2672,
  "longitude":    -97.7431,
  "photos": [
    "https://lh3.googleusercontent.com/.../photo1=w800-h600",
    "https://lh3.googleusercontent.com/.../photo2=w800-h600"
  ],
  "maps_url":    "https://www.google.com/maps/place/Joes+Coffee/@30.2672,-97.7431,17z",
  "source_url":  "https://www.google.com/maps/place/Joes+Coffee/@30.2672,-97.7431,17z"
}

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📧 Email Extraction Feature

The built-in email extractor is what sets this Google Maps Scraper apart. When scrape_email is enabled, the actor automatically visits each business's website and searches for email addresses in three passes:

Pass 1 — mailto: links Scans the homepage for mailto: hyperlinks — the most reliable source of intentionally published contact emails.

Pass 2 — Page text scan Searches all visible page text for email patterns using regex, filtering out common false positives (image filenames, tracking pixels, asset URLs).

Pass 3 — Contact page crawl If no email is found on the homepage, the actor automatically tries /contact, /contact-us, and /about subpages before giving up.

Output: Up to 3 emails per business are stored. The best candidate is promoted to email (primary), with all found addresses in the emails array.

⚠️ Email extraction adds ~10–15 seconds per business. Disable scrape_email for faster runs when only contact details and location data are needed.

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📷 Photo Scraping Feature

When scrape_photos is enabled, the actor collects up to 5 high-quality business photos from Google Maps.

Photos are returned as direct googleusercontent.com URLs at 800×600 resolution — ready for display in directories, CRM cards, or marketing materials. Thumbnails found on the listing page are automatically upscaled to the highest available resolution before being saved.

Disable scrape_photos to significantly speed up runs when photos are not needed.

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⚙️ How It Works

Step 1 — Input Routing

Search queries are converted into Google Maps search URLs (/maps/search/...). Direct place URLs are scraped individually. Both modes use the same extraction pipeline.

Step 2 — Search Result Collection

For search queries, the actor scrolls the results panel to load all listings, then collects all /maps/place/ URLs up to max_results. Each URL is queued for individual place scraping.

Step 3 — Place Data Extraction

Each business page is loaded and data is extracted via targeted CSS selectors: name, category, rating, review count, address, phone, website, and hours. GPS coordinates are parsed directly from the Maps URL.

Step 4 — Email Harvesting

If scrape_email is enabled and a website URL was found, a separate browser tab visits the site, scans for emails in three passes (homepage → page text → contact subpages), and returns up to 3 addresses.

Step 5 — Photo Collection

If scrape_photos is enabled, the actor collects thumbnail image URLs from the listing and upgrades them to 800×600 resolution versions.

Step 6 — Output

All records are pushed to the Apify dataset in real time as each business is processed. The final dataset is also saved as a key-value store entry.

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⚡ Performance & Limits

Mode	Count	Estimated Time
Single place URL	1	~15–30 seconds
Search query (no email/photos)	10	~2–3 minutes
Search query (email + photos ON)	10	~5–8 minutes
Multi-query batch	5 queries × 10	~25–40 minutes

Speed tips:

• Set scrape_email: false to cut per-business time in half
• Set scrape_photos: false for fastest possible runs
• Use direct urls input instead of queries when you already have place URLs

Reliability features:

• Per-business error isolation — one failed place never stops the batch
• Automatic wait between requests to avoid rate limiting
• Bot-detection bypass via stealth browser configuration

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❓ FAQ

Q: Does this actor require a Google Maps API key? A: No. This Google Maps Scraper uses a real browser to load Google Maps pages directly — no API key or billing account needed.

Q: Why is email null for some businesses? A: Not all businesses have a website, and not all websites publish an email address. If no email is found after checking the homepage and contact subpages, the field returns null. Setting scrape_email: false skips this step entirely for speed.

Q: How many results can I get per search query? A: Set max_results to control how many businesses are scraped per query. There is no hard cap — the actor scrolls the results panel to load as many listings as available up to your limit.

Q: Can I scrape a specific business by URL? A: Yes. Paste any Google Maps place URL into the urls field and the actor scrapes that business directly, with no search step required.

Q: Why are GPS coordinates sometimes missing? A: Coordinates are extracted from the Google Maps URL after the page resolves. For a small number of listings, Google Maps may not embed coordinates in the URL — this results in null latitude/longitude.

Q: Can I export results to a CSV or Excel file? A: Yes. Apify datasets can be exported to CSV, JSON, Excel, and more from the Apify Console dataset view after the run completes.

Q: How do I avoid being blocked by Google? A: The actor uses stealth browser settings (Chrome user-agent, webdriver property suppressed, realistic locale and timezone) with randomized wait times between requests. For high-volume runs (100+ businesses), consider adding residential proxy.

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📜 Changelog

v2.0.0 (Current)

• ✅ Email extractor: 3-pass harvesting (mailto → page text → contact subpages)
• ✅ Photo scraping: up to 5 photos per business at 800×600 resolution
• ✅ GPS coordinate extraction from resolved Maps URL
• ✅ Working hours extraction
• ✅ scrape_email and scrape_photos toggle flags for speed control
• ✅ Direct place URL input support alongside search queries
• ✅ Stealth browser configuration (webdriver suppressed, realistic locale)
• ✅ Per-business error isolation — batch never stops on a single failure
• ✅ Real-time dataset push as each business is processed

v1.0.0

• Initial release with basic name, phone, address, rating, and website extraction

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⚖️ Legal & Terms of Use

This actor accesses publicly visible business information on Google Maps in the same way a regular user browses the platform.

Please note:

• Use extracted data only for lawful purposes — lead generation, research, directory building, and journalism are common legitimate uses
• Do not use this Google Maps Scraper to spam, harass, or send unsolicited bulk communications to extracted contacts
• Respect Google's Terms of Service — do not use this tool at volumes that constitute systematic data mining in violation of platform rules
• Email addresses extracted from business websites are publicly published contact details — always comply with applicable anti-spam laws (CAN-SPAM, GDPR, CASL) when using them for outreach
• The actor developer is not responsible for how extracted data is used

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🤝 Support & Feedback

• Bug report? Open a GitHub issue or contact us via the Apify actor page
• Feature request? Post in the Apify Community forum
• Works great? Please leave a ⭐ review on the Apify Store!

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The fastest Google Maps Scraper with built-in email extraction — no API key, no login, bulk-ready