How to scrape French Listings data on SeLoger with no code?
Overview
Among the fields commonly displayed: surface area, price, number of rooms, address, and sometimes more detailed characteristics such as outdoor features, kitchen setup, or availability date.

Such public and structured data information is useful to be collected.
Is it legal to collect real estate data?
⚠️ This is not legal advice. Rules on data scraping evolve and can vary. Always consult a legal expert before launching large-scale data operations.
- The data is publicly accessible,
- Only a non-substantial portion of the database is collected.
However, collecting large volumes may raise legal concerns, especially if it impacts the normal functioning of a website.
When in doubt, consult a legal professional before moving forward.
Setup
Instead of coding a custom solution, users can now extract data from a SeLoger search URL using a no-code automation tool.

Click on Start Now. Then:
- Visit SeLoger and apply your filters (location, type of housing, etc.)
- Copy the resulting search URL
- Paste it into the input field on the tool
- Click Save

For example, a search URL might look like this:
https://www.seloger.com/list.htm?projects=1&types=2&places=[{%22divisions%22:[2248]}]...
Once ready, paste your link and hit Save.
Launch
To launch the task:
- Choose “Manual” in the scheduling options
- Click “Launch” in the top-right corner

The process will start and retrieve listings matching your search — based on your input URL and limits.
Results
Once complete, you can download your file in spreadsheet format.

The output contains structured data fields available at the time of collection, such as surface area, price, room count, and more — depending on what was displayed.
Final Thoughts
Accessing public real estate data can open the door to smarter workflows and better insights.
Go ahead!
No code. Public data. User-controlled collection.
🦞