Global Google Places Dataset for Key Local Services

Created by

VortexData

Actor

Google Maps Scraper

Extract detailed Google Places data from major cities worldwide. Access insights on businesses like restaurants and service providers.

Try for free

Google Maps Scrapervortex_data/google-maps

Name

Main category

All categories

Search term

+100 fields

Input

🔍 Search terms:restaurant+4

📍 Locations:London, England, United Kingdom+9

Only places inside the area:true

💯 Places to extract:250

…but keep places with no address:true

Open places only:true

Collect contacts from each website:false

Reviews per place:0

Output fields

Name

Main category

All categories

Search term

Rank in the answer

Language

Subtitle

Description

Long description

Phone

Phone (E.164)

Website

Website (as shown)

Emails

Additional phones

WhatsApp links

Facebook profiles

Instagram profiles

LinkedIn profiles

X/Twitter profiles

YouTube channels

TikTok profiles

Pinterest profiles

Tripadvisor pages

Yelp pages

Foursquare pages

Full address

Street

Neighborhood

City

State or region

Postal code

Country code

Locality

Address parts

Address source

Coordinates

Entrance coordinates

Plus Code

Time zone

Matches the search term

Matched search term

Inside the search area

Rating

Number of reviews

Reviews URL

Reviews collected

Reviews

Star distribution

Review keywords

Opening hours today

Opening hours (week)

Popular times

People also search for

Fuel prices

EV connectors

Editorial summary

Typical time spent

Open right now

Next opens at

Permanently closed

Temporarily closed

Price level

Price per person from

Price per person up to

Price currency

Menu URL

Table reservation URL

Booking links

Listing owner

Listing owner ID

Claim-this-business URL

Badges

Attributes

Is an ad

Main photo URL

Number of photos

Photo categories

Number of gallery photos

Photo gallery

Photo gallery URLs

Photos

Photo URLs

Hotel stars

Hotel price

Hotel check-in date

Hotel check-out date

Hotel amenities

Hotel description

Google Maps URL

Place ID

Feature ID (FID)

Customer ID (CID)

Knowledge Graph ID

Search page URL

Requested Place ID

Requested start URL

Start URL user data

Scraped at

Record type

Is a diagnostic row

Is a place

Diagnostic message

Action needed

How it works

Sign up on Apify or log in

The Google Maps Scraper Actor is ready to run with the inputs already set for "Global Google Places Dataset for Key Local Services". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Global Google Places Dataset for Key Local Services" task

The Google Maps Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔍 search terms, 📍 locations, and more, to match your specific use case.

Receive the "Global Google Places Dataset for Key Local Services" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as name, main category, all categories, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Global Google Places Dataset for Key Local Services" task via API.