VOOZH about

URL: https://apify.com/nezha/google-maps-scraper

โ‡ฑ Google Maps Business Extractor: Phones & Review Counts ยท Apify


๐Ÿ‘ Google Maps Business Extractor: Phones, Ratings & Review Counts avatar

Google Maps Business Extractor: Phones, Ratings & Review Counts

Pricing

from $0.0014 / result

Go to Apify Store

Google Maps Business Extractor: Phones, Ratings & Review Counts

Turn keywords and one location into a structured Google Maps business list with phones, websites, ratings, review counts, addresses, service options, and business details. Export to CSV, Excel, or JSON.

Pricing

from $0.0014 / result

Rating

5.0

(2)

Developer

๐Ÿ‘ nezha

nezha

Maintained by Community

Actor stats

1

Bookmarked

11

Total users

0

Monthly active users

2 months ago

Last modified

Share

Turn keywords and a location into a structured Google Maps business dataset with phones, websites, ratings, review counts, addresses, service options, and business detail fields.

What this Actor does

This Actor is built for teams that want a usable local business dataset, not just raw map results. Enter keywords plus one location, then export the matching businesses to CSV, Excel, or JSON.

It is useful when you want to:

  • build a local business list for outreach or territory research
  • compare competitors in one city or category
  • analyze review signals, website coverage, service options, and business attributes
  • collect richer business data without manually copying Google Maps rows into a spreadsheet

Quick start

  1. Set maxBusinesses first. The default is 10 for preview runs.
  2. Enter one or more keywords and one location.
  3. Keep includeDetails: true if you want the full business detail fields.
  4. Click Run.
  5. Download the dataset from Apify as CSV, Excel, or JSON.

Use cases

Sales prospecting
Pull local businesses in a target city, then export phone numbers, websites, addresses, ratings, service options, and business details for outreach.

Local SEO research
Compare categories, ratings, review counts, review tags, website coverage, and business attributes to quickly spot businesses with strong demand but weak digital presence.

Market research
Measure business density in a target area, inspect category coverage, compare nearby competitors, and see how different neighborhoods or cities are distributed.

Output preview

Here is a simplified example of the business records you can download after a run:

BusinessCategoryPhoneWebsiteRatingReviewsAddress
Blue Bottle CoffeeCoffee shop, Cafe+1 510-653-3394bluebottlecoffee.com4.61,86054 Mint Plaza, San Francisco, CA 94103
Stumptown Coffee RoastersCoffee shop, Cafe+1 347-414-7800stumptowncoffee.com4.51,24830 W 8th St, New York, NY 10011
DevocionCoffee shop, Cafe+1 646-590-3365devocion.com4.798069 Grand St, Brooklyn, NY 11249

The same record can also include richer fields such as:

Extra field groupExample value
Business statusClosed, price range, primary category
Location detailstreet, district, postal code, neighborhood, plus code
Review intelligencereview count, review distribution, review tags, sample reviews
Service optionsdelivery, takeout, dine-in, accessibility, payments
Media signalsmain picture, menu pictures, highlight pictures, videos
Market contextpeople also search, popular times, image categories

You still get the full dataset export in CSV, Excel, or JSON. This preview is only here to make the output easier to scan at a glance while still showing the depth of the data.

Typical fields include:

  • business identity: title, categoryName, categories, placeId, cid, kgmid
  • contact and lead fields: phone, website, address, street, district, postalCode
  • geo fields: city, countryCode, location.lat, location.lng, plusCode, plusCodeUrl
  • conversion signals: totalScore, reviewCount, currentStatus, priceRange, delivery
  • review intelligence: reviewsDistribution, reviewsTags, reviews
  • service and attribute data: additionalInfo, openingHours
  • media and visibility data: mainPicture, menuPictures, highlightPictures, videos, imageCategories
  • competitor and demand signals: peopleAlsoSearch, popularTime

Full JSON preview

If you want to inspect a more complete example record, open the preview below.

Pricing

This Actor now uses event-based pricing:

  • Result: $0.0012 for each business record saved to the dataset
  • Detail page: $0.0005 for each business detail page opened when includeDetails is enabled
  • Actor start: $0.00005 for each run

In practice:

  • If includeDetails: true, each saved business will usually trigger one Result event and one Detail page event.
  • If includeDetails: false, you only pay the Result event plus the Actor start event.

Examples

Example input

{
"keywords":["dentist","orthodontist"],
"location":"Austin, Texas",
"maxBusinesses":50,
"includeDetails":true,
"batchDetailsPerQuery":3,
"proxyConfiguration":{
"useApifyProxy":true,
"countryCode":"US"
}
}

Best practices

  • Use keywords plus location as the main workflow for first runs and repeatable exports.
  • Keep includeDetails enabled if you want richer output by default.
  • Use maxBusinesses to keep first runs small and fast, then set it explicitly for production exports.

For production runs, do not leave maxBusinesses on the default 10. Set it deliberately to match the export size you need.

Useful output fields

  • title
  • categories
  • phone
  • website
  • address
  • location.lat
  • location.lng
  • totalScore
  • reviewCount
  • openingHours
  • url

Notes

  • This Actor currently focuses on business listing data available from Google Maps results and business detail pages.
  • It does not promise email extraction.
  • You can export results directly from the dataset in CSV, Excel, or JSON formats.

Why the dataset feels complete

This Actor does more than return a bare list of business names.

  • You get lead-ready fields such as phone, website, address, and coordinates.
  • You get operating and offer context such as opening hours, delivery, accessibility, payments, and other service attributes.
  • You get review intelligence such as review counts, review distribution, review tags, and sample reviews.
  • You get visibility and content signals such as main pictures, menu pictures, videos, and image categories.
  • You get competitor context such as peopleAlsoSearch and demand context such as popularTime.

That combination makes the export useful not just for lead generation, but also for qualification, segmentation, competitor mapping, and local market analysis.

API access

Developers can run this Actor programmatically through the Apify API or the Apify Python and JavaScript clients.

You might also like

Google Maps Lead Extractor: Phones, Ratings & Review Counts

jinzha/google-maps-scraper-plus

Turn keywords and one location into a qualified Google Maps sales lead list with phones, websites, ratings, review counts, addresses, service options, and business details. Export to CSV, Excel, or JSON.

Google Maps Lead Extractor: Phones, Ratings & Review Counts

nezha/google-maps-scraper-plus

Turn keywords and one location into a qualified Google Maps sales lead list with phones, websites, ratings, review counts, addresses, service options, and business details. Export to CSV, Excel, or JSON.

Google Maps Scraper โ€” Extract Business Data at Scale

fascinating_lentil/google-maps-scraper

Collect public Google Maps business listing data including names, categories, addresses, websites, ratings, review counts, hours, coordinates, and Maps URLs. Export structured data to JSON, CSV, or Excel.

๐Ÿ‘ User avatar

Md Jakaria Mirza

3

Google Maps Lead Extractor โŒ

morkerr/google-maps-lead-extractor

Extract business leads from Google Maps โ€” names, phones, addresses, websites, ratings, and reviews. Export to CSV, JSON, Excel. Built by morkerr.com

Google Maps Lead Finder โ€” Business Search & Locate

endspec/google-maps-instant-lead-finder

Search Google Maps by query + location, get structured business leads โ€” names, addresses, phones, websites, ratings.

Google Maps Extractor

scraperforge/google-maps-extractor

๐Ÿ“ Google Maps Extractor (google-maps-extractor) scrapes business data from Google Maps โ€” names, addresses, phones, websites, ratings, reviews & hours. ๐Ÿ”Ž Export to CSV/Excel or API. โšก Ideal for lead gen, local SEO, market research & competitor analysis. ๐Ÿš€ Fast, accurate, easy to use.

Google Maps Search Scraper

web_wanderer/google-business-search-scraper

Easily scrape Google Maps search results at scale. This Google Maps Scraper extracts business names, addresses, phone numbers, websites, ratings, reviews count, business hours, service options, place attributes, and coordinates for any business type. Export data in JSON, CSV, Excel, or via API.

Google Maps Data Extractor

sandaliaapps/google-maps-data-extractor

Google Maps Data Extractor is a powerful scraper and extractor that collects business listings from Google Maps, including names, ratings, reviews, addresses, phones, and more. Perfect for lead generation, market research, business intelligence, and local SEO.

52