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Extract Hotel Business Data in Miami

Export Miami hotel business data from Google Maps including names, addresses, websites, phones, ratings, review counts, categories, and map URLs.

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Google Maps Business Extractor: Phones, Ratings & Review Counts
Google Maps Business Extractor: Phones, Ratings & Review Countsnezha/google-maps-scraper
Title
Description
Address
Street
+29 fields
Text
Number
Boolean
List
Object

Input

Max Businesses:20
Keywords(required):hotel
Location(required):Miami, Florida
Include Detail Fields:true

Output fields

Title
Description
Address
Street
Neighborhood
District
City
Country code
Postal code
Phone
Phone unformatted
Website
Url
Fid
Cid
Place id
Location
Category name
Main picture
Image urls
Kgmid
Plus code
Plus code url
Delivery
Opening hours
Additional info
Faq url
Image categories
Reviews tags
Popular time
Reviews distribution
People also search
Get detail error

How it works

Sign up on Apify or log in

The Google Maps Business Extractor: Phones, Ratings & Review Counts Actor is ready to run with the inputs already set for "Extract Hotel Business Data in Miami". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract Hotel Business Data in Miami" task

The Google Maps Business Extractor: Phones, Ratings & Review Counts Actor will start running based on the input automatically. You can also change all the input fields, like max businesses, keywords, and more, to match your specific use case.

Receive the "Extract Hotel Business Data in Miami" 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 title, description, address, 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 "Extract Hotel Business Data in Miami" task via API.

Image

Integrate "Extract Hotel Business Data in Miami" into your workflow

Connect "Extract Hotel Business Data in Miami" with 100+ integrations, or run it via API or MCP.

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