How to scrape French Listings data on SeLoger with no code?

Sasha Bouloudnine
May 23, 2022

2 min read

Overview

SeLoger is a French real estate website that offers access to property listings across various regions. These listings are publicly available and often structured with useful data points for research, lead generation, or market observation.

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.

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Such public and structured data information is useful to be collected.

⚠️ This is not legal advice. Rules on data scraping evolve and can vary. Always consult a legal expert before launching large-scale data operations.

According to French law (Article L342-3 of the Intellectual Property Code), extracting data is allowed when:
  1. The data is publicly accessible,
  2. 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.

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Click on Start Now. Then:

  1. Visit SeLoger and apply your filters (location, type of housing, etc.)
  2. Copy the resulting search URL
  3. Paste it into the input field on the tool
  4. Click Save
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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:

  1. Choose “Manual” in the scheduling options
  2. Click “Launch” in the top-right corner
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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.

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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.

🦞

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