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SeLoger Scraper ❤️ (by ads URLs) ⚡ — SeLoger | Lagic

Built For

Extract comprehensive property data from SeLoger listings for market analysis and competitive intelligence.

Curated by Lagic·Verified working

Configure Agent

Real estate items direct links / Liens directs vers les biens immobiliers à scraper

Results to deliver

200 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

2 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Property Title and DescriptionListing Price and Price per Square MeterLiving Area, Number of Rooms, and BedroomsProperty Type (e.g., apartment, house)Full Address including City, Zip Code, and DepartmentPrecise Geographic Coordinates (Latitude and Longitude)
Sample Text...$19.99315Value...Value...Value...
Sample Text...$19.99158Value...Value...Value...
..................
Exports as:CSVXLSXJSON

Overview

Get detailed data from France's top real estate portal, SeLoger. Extract pricing, location, property characteristics, and agency contact information from any listing URL to power your market research.

This tool provides structured data from individual property listings on SeLoger, the leading real estate platform in France. It's designed for real estate professionals, investors, and data analysts who need to move beyond manual data collection and access detailed, machine-readable information from specific property ads. By providing a list of SeLoger URLs, you can extract a rich dataset for each property. This isn't just a surface-level scrape; it retrieves deep details about the property itself, its pricing structure, the listing agency, and its surrounding environment. ### Who is this for? * **Real Estate Agents & Brokers:** Quickly compile detailed competitive market analyses (CMAs) by pulling data from comparable listings. Gather intelligence on which agencies are active in your area and how they price their properties. * **Property Investors:** Identify and analyze potential investment opportunities by extracting key metrics like price per square meter, rental charges, and property specifics. Track market trends in specific neighborhoods or cities. * **Market Analysts & PropTech Companies:** Feed structured, reliable data into your analytics models to forecast market trends, build valuation tools, or understand housing stock characteristics across different regions of France. * **B2B Service Providers:** Build targeted prospect lists of real estate agencies, complete with contact information, by extracting publisher details from listings. ### What you get The output is a detailed breakdown for each property, including: * **Core Property Details:** Living area, number of rooms and bedrooms, property type (apartment, house), and descriptive title. * **Pricing Information:** Listing price, price per square meter, annual condo charges, and detailed fee breakdowns (e.g., whether fees are the purchaser's responsibility). * **Location Data:** City, zip code, department, and precise geographic coordinates (latitude/longitude). It also includes data on nearby points of interest, such as the distance to public transportation, schools, and daily life amenities. * **Publisher/Agency Information:** Full details on the listing agency, including their name, address, phone number, email, website, and professional license numbers.

Key Capabilities

  • Property Title and Description
  • Listing Price and Price per Square Meter
  • Living Area, Number of Rooms, and Bedrooms
  • Property Type (e.g., apartment, house)
  • Full Address including City, Zip Code, and Department
  • Precise Geographic Coordinates (Latitude and Longitude)
  • Annual Condominium Charges and Number of Properties in Condo
  • Details on Nearby Transportation, Schools, and Amenities
  • Links to all Photos and Media associated with the listing
  • Listing Agency's Name, Logo, and Contact Information (Phone, Email, Website)
  • Agency's Professional Details (e.g., license number, legal form)
  • Unique IDs for the Property and Publication
  • Compile a detailed comparative market analysis (CMA) for a client by extracting data from 10-15 similar local listings.
  • Monitor new listings from specific agencies to track their inventory and pricing strategies.
  • Identify undervalued investment properties by analyzing the price per square meter against neighborhood averages.
  • Build a targeted list of real estate agencies in a specific French department for B2B marketing outreach.
  • Aggregate data on property characteristics in a city to inform urban planning or market research reports.
  • Feed a continuous stream of property data into a machine learning model for automated property valuation (AVM).
  • Create a personal database of interesting properties for a home search, complete with all details for offline comparison.

Field Dictionary

How To Run This Extractor

1

Find the property listings you want to analyze on SeLoger.com.

2

Copy the direct URL for each property page.

3

Paste the list of URLs into the 'Real estates links' input field.

4

Run the tool.

5

Download the collected data as a CSV, JSON, or Excel file.

Frequently Asked Questions

Do I need to be a developer to use this tool?
No. You only need to provide a list of SeLoger property URLs. The tool handles the data extraction and provides the results in a structured format like JSON or CSV.
What formats can I export the data in?
Is it legal to scrape data from SeLoger?
Can I extract data from hundreds of URLs at once?
Is this suitable for client work at my agency?
How is this different from a generic web scraper?
Does this tool get data for both sales and rentals?
Will I get the real estate agent's contact information?
How fresh is the data?
Can I schedule this to run automatically?