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Bienici Paris Real Estate Scraper

Paris is the most watched property market in France and the hardest to track by hand. This example collects listings for sale in Paris with the asking price, surface area, room count, postcode and listing agency. Use it to build a price per square metre series by arrondissement that updates whenever you rerun it.

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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:Paris
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 Paris Real Estate Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Bienici Paris Real Estate 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 Paris Real Estate 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 Paris Real Estate Scraper" task via API.

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