From $7/1000 — Gmaps Email & Data Scraper (Google Maps) avatar
From $7/1000 — Gmaps Email & Data Scraper (Google Maps)
Under maintenance

Pricing

from $7.00 / 1,000 results

Go to Apify Store
From $7/1000 — Gmaps Email & Data Scraper (Google Maps)

From $7/1000 — Gmaps Email & Data Scraper (Google Maps)

Under maintenance

Developed by

Alex

Alex

Maintained by Community

Scrape business data and emails from Google Maps automatically. Supports multiple queries, exports results to Apify dataset or JSON. Perfect for lead generation and business analysis.

0.0 (0)

Pricing

from $7.00 / 1,000 results

0

2

2

Last modified

6 days ago

🗺️ Google Maps Email & Leads Scraper

Extract business contact information such as emails, websites, and company names directly from Google Maps search results.


🚀 How It Works

This scraper automatically searches Google Maps using your queries, visits each business page (and other pages if email isn't found), and collects data such as:

  • Business name
  • Website URL
  • Email addresses (found on their websites)
  • Location and Google Maps link etc...

It runs multiple browsers in parallel for speed and skips duplicate results automatically, so you don’t need to worry about overlap.


🧩 Input Example

{
"queries": [
"hairdressers in Norrmalm Stockholm",
"hairdressers in Södermalm Stockholm",
"hairdressers in Gamla Stan Stockholm"
],
"maxScrollsPerQuery": 1
}

💡 Tips

  • Split your search into smaller areas or neighborhoods for better coverage and accuracy.
  • For example: instead of "hairdressers in Stockholm", use multiple localized queries like above.
  • The scraper will ignore duplicates automatically across all searches.

🧾 Output

Each comprehensive result includes:

FieldDescription
nameBusiness name
emailsFound email(s)
websiteWebsite URL (if available)
addressBusiness address
linkLink to Google Maps listing

⚙️ Configuration

ParameterTypeDescription
queriesarray of stringsList of Google Maps search queries
maxScrollsPerQueryintegerHow many times to scroll per query (higher = more results, slower)

🧠 Notes

  • It supports parallel scraping for multiple Google Maps queries.
  • Duplicates are skipped for clean, unique results.