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Track Delhi Rental Inventory from Housing.com

Track public Delhi rental listings from Housing.com to monitor available inventory and pricing signals over time.

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Housing.com Scraper - Indian Property Listings
Housing.com Scraper - Indian Property Listingskhadinakbar/housing-com-scraper
Housing.com listing ID
Listing URL
Listing title
Starting price INR
+9 fields
Text
Number
Boolean
List
Object

Input

Housing.com search or listing URLs(required)
url:https://housing.com/in/rent/delhi/delhi-west-govindpuri-lajpat-nagar-masjid-moth-gid/
Maximum listings:25
Maximum pages per search URL:2
Include listing detail pages:false
Response format:concise
Legacy proxy-country setting:IN

Output fields

Housing.com listing ID
Listing URL
Listing title
Starting price INR
Maximum price INR
BHK
Area sq ft
Average price per sq ft
Location
Seller name
RERA badge
Verified badge
Scraped at

How it works

Sign up on Apify or log in

The Housing.com Scraper - Indian Property Listings Actor is ready to run with the inputs already set for "Track Delhi Rental Inventory from Housing.com". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Track Delhi Rental Inventory from Housing.com" task

The Housing.com Scraper - Indian Property Listings Actor will start running based on the input automatically. You can also change all the input fields, like housing.com search or listing urls, maximum listings, and more, to match your specific use case.

Receive the "Track Delhi Rental Inventory from Housing.com" 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 housing.com listing id, listing url, listing title, 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 "Track Delhi Rental Inventory from Housing.com" task via API.

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Integrate "Track Delhi Rental Inventory from Housing.com" into your workflow

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