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Compare Bengaluru Property Price Signals

Compare public Bengaluru Housing.com listings to study price, area, and per-square-foot signals for research and planning.

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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/buy/bengaluru/indiranagar/
Maximum listings:15
Maximum pages per search URL:1
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 "Compare Bengaluru Property Price Signals". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare Bengaluru Property Price Signals" 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 "Compare Bengaluru Property Price Signals" 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 "Compare Bengaluru Property Price Signals" task via API.

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Integrate "Compare Bengaluru Property Price Signals" into your workflow

Connect "Compare Bengaluru Property Price Signals" with 100+ integrations, or run it via API or MCP.

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