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Rentcafe Apartment Data Extractor

Collect 200 rental listings from Rentcafe in NYC. Get structured data on prices, amenities, availability, and more for market analysis.

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Rentcafe Scraper
Rentcafe Scrapershahidirfan/rentcafe-scraper
Property
Property ID
Address
Min Beds
+11 fields
Text
Number
Boolean
List
Object

Input

Start URL:https://www.rentcafe.com/apartments-for-rent/new-york-city-ny/
Maximum number of records:200
Maximum number of pages:10
Proxy configuration:{1 field}

Output fields

Property
Property ID
Address
Min Beds
Max Beds
Min Baths
Max Baths
Min Rent
Max Rent
Units
Site
Details
Image
Source Page
Scraped At

How it works

Sign up on Apify or log in

The Rentcafe Scraper Actor is ready to run with the inputs already set for "Rentcafe Apartment Data Extractor". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Rentcafe Apartment Data Extractor" task

The Rentcafe Scraper Actor will start running based on the input automatically. You can also change all the input fields, like start url, maximum number of records, and more, to match your specific use case.

Receive the "Rentcafe Apartment Data Extractor" 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 property, property id, 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 "Rentcafe Apartment Data Extractor" task via API.

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Integrate "Rentcafe Apartment Data Extractor" into your workflow

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