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Bienici House Price Scraper

Asking prices are the earliest signal in a property market, well before notary data catches up. This example collects listings in Toulouse with price, surface area, room count and agency, so you can build a price series from live supply. Agencies use it to advise sellers, and investors use it to time an entry.

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Bien'ici Scraper | Property Listings
Bien'ici Scraper | Property Listingssilentflow/bienici-scraper-ppr
ID
Ad ID
Title
Price (€)
+6 fields
Text
Number
Boolean
List
Object

Input

Location:Toulouse
Transaction Type:buy
Max Results:100

Output fields

ID
Ad ID
Title
Price (€)
Surface (m²)
Rooms
City
Type
DPE
URL

How it works

Sign up on Apify or log in

The Bien'ici Scraper | Property Listings Actor is ready to run with the inputs already set for "Bienici House Price Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Bienici House Price Scraper" task

The Bien'ici Scraper | Property Listings Actor will start running based on the input automatically. You can also change all the input fields, like location, transaction type, and more, to match your specific use case.

Receive the "Bienici House Price Scraper" 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 ID, ad id, 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 "Bienici House Price Scraper" task via API.

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Integrate "Bienici House Price Scraper" into your workflow

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