🏠 PAP Scraper

Extract PAP (pap.fr) private-seller real-estate listings by filters — rent or buy — and export them as structured JSON, CSV or Excel. No code required.

📋 Contents

• Overview
• How to use
• Input
• Output
• Pricing
• Proxy and performance
• Integrations
• Related Actors
• FAQ
• Support

📖 Overview

Search PAP — France's leading private-seller (no agency) real-estate site — for rentals or sales by location, price, surface, rooms and bedrooms. For each listing you get the price, surface, rooms, bedrooms, DPE/energy rating, description, photos and location.

• Search with friendly filters — transaction, locations, property types, price, surface, rooms.
• Locations resolve automatically to PAP zones (cities, departments or postal codes).
• Private-seller listings — buy or rent directly from owners.
• Rich data — price, surface, rooms, DPE, description and all photos.
• Exports to JSON, CSV, Excel, or the Apify dataset API.
• Pay per result — no subscription.

🚀 How to use

1. Pick Buy or Rent, add one or more locations (cities, departments or postal codes), and set property types, price, surface and rooms.
2. Set Max results (0 = everything).
3. Start the run.
4. Download your data from the Storage tab, or fetch it from the API.

📥 Input

Field	Key	Type	Default	Description
Transaction	transaction	select	buy	Buy (sale) or rent.
Locations	locations	array	["Bordeaux"]	Cities, departments or postal codes.
Property types	property_types	select (multi)	flat + house	Flat, house, land, building…
Min / Max price	price_min / price_max	integer	—	Sale price or monthly rent, in €.
Min / Max surface	surface_min / surface_max	integer	—	Living surface in m².
Min rooms / bedrooms	rooms_min / bedrooms_min	integer	—	Minimum rooms (pièces) / bedrooms.
Max results	max_results	integer	100	Listings to collect. 0 = as many as possible.
Proxy configuration	proxyConfiguration	object	Residential / FR	Residential FR recommended.

📤 Output

Each listing is stored as one dataset item. Export it as JSON, CSV or Excel, or read it from the API.

Field	Description
id	PAP listing ID
url	Direct link to the listing
transaction	buy or rent
propertyType	appartement, maison, terrain…
price	Price in € (sale price or monthly rent)
priceReduced	Whether the price was recently reduced
surfaceArea	Living surface in m²
rooms / bedrooms	Number of rooms (pièces) and bedrooms
energyClassification	DPE / energy rating (A–G)
city / postalCode	Location
description	Listing description
photos[] / photoCount	Photo URLs and count

💰 Pricing

$0.90 per 1,000 listings. No subscription — you pay only for the results you extract. New Apify users can try the Actor with their free monthly platform credits.

🛡️ Proxy and performance

• Use Apify residential proxies (country FR) for reliable runs — recommended, since pap.fr limits rapid requests.
• Start with a small Max results to validate your filters, then increase it.
• Add several locations in one run to cover multiple cities at once.
• The Actor paces its requests automatically to stay reliable.

🔌 Integrations

Run the Actor from the Apify API, the JavaScript or Python clients, or connect it to Make, Zapier, n8n, Google Sheets and Slack through Apify integrations. Each run's data is available as JSON or CSV via the dataset API.

🔗 Related Actors

• Bienici Universal Scraper — real-estate listings from Bien'ici.
• SeLoger Universal Scraper — real-estate listings from SeLoger.
• Leboncoin Real Estate — Leboncoin real estate by filters.

Need another marketplace? Open an issue.

❓ FAQ

What makes PAP different?

PAP (Particulier à Particulier) lists properties sold or rented directly by owners, with no agency fees — a great source for private-seller deals.

How do I target a specific area?

Add cities, departments or postal codes in Locations — each is resolved automatically to its PAP zone. Add several to cover multiple areas in one run.

How fresh is the data?

It is collected live at runtime.

💬 Support

Questions or issues? Post them in the Issues tab and I will respond quickly. If the Actor is useful to you, a review is appreciated.