When importing flats for the first time, their status was not correctly set, resulting in flats not being marked as ignored when they should be. This is a bug introduced with the fix for issue #31, now fixed.
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Flatisfy is your new companion to ease your search of a new housing :)
Note: This software is under heavy development at the moment, and the database schema could change at any time. Do not consider it as being production ready. However, I am currently using it for my own housing search and it is working fine :)
Note: For the moment, it requires this MR on Weboob which has not yet been merged.
It uses Weboob to get all the housing posts on most of the websites offering housings posts, and then offers a bunch of pipelines to filter and deduplicate the fetched housings.
It can be used as a command-line utility, but also exposes a web API and visualisation, to browse through the results.
Note: It is targeted at French users (due to the currently supported websites), and in particular at people living close to Paris, as I developped it for my personal use, and am currently living in Paris :) Any feedback and merge requests to better support other countries / cities are more than welcome!
Note: In this repository and across the code, I am using the name "flat". I use it as a placeholder for "housing" and consider both are interchangeable. This code is not restricted to handling flats only!
See the getting started guide.
See the dedicated folder.
Display available flats on a map:
And list them with the details in a sortable table:
Uniform display of the flat information in a dedicated page, with the contact etc:
Track interesting flats and store them with notes:
I am using the following datasets, available under
which covers Paris. If you want to run the script using some other location,
you might have to change these files by matching datasets.
- LaPoste Hexasmal for the list of cities and postal codes in France.
- RATP stations for the list of subway stations with their positions in Paris and nearby areas.
Both datasets are licensed under the Open Data Commons Open Database License (ODbL): https://opendatacommons.org/licenses/odbl/.
The content of this repository is licensed under an MIT license, unless explicitly mentionned otherwise.
CONTRIBUTING.md file for more infos.
- The OpenData providers listed above!
- Navitia for their really cool public transportation API.
- A lots of Python modules, required for this script (see
- Kresus which gave me part of the original idea (at least proved me such software based on scraping can achieve a high quality level :)
- Current favicon is from Wikipedia