107 lines
3.5 KiB
Markdown
107 lines
3.5 KiB
Markdown
Flatisfy
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========
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Flatisfy is your new companion to ease your search of a new housing :)
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**Note**: This software is under heavy development at the moment, and the
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database schema could change at any time. Do not consider it as being
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production ready. However, I am currently using it for my own housing search
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and it is working fine :)
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**Note**: For the moment, it requires [this MR on
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Weboob](https://git.weboob.org/weboob/devel/merge_requests/31) which has not
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yet been merged.
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<img src="doc/img/home.png" width="45%"/> <img src="doc/img/home2.png" width="45%"/>
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It uses [Weboob](http://weboob.org/) to get all the housing posts on most of
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the websites offering housings posts, and then offers a bunch of pipelines to
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filter and deduplicate the fetched housings.
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It can be used as a command-line utility, but also exposes a web API and
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visualisation, to browse through the results.
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_Note_: It is targeted at French users (due to the currently supported
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websites), and in particular at people living close to Paris, as I developped
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it for my personal use, and am currently living in Paris :) Any feedback and
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merge requests to better support other countries / cities are more than
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welcome!
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_Note_: In this repository and across the code, I am using the name "flat". I
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use it as a placeholder for "housing" and consider both are interchangeable.
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This code is not restricted to handling flats only!
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## Getting started
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See the [getting started guide](doc/0.getting_started.md).
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## Documentation
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See the [dedicated folder](doc/).
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## Screenshots
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### Home page
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Display available flats on a map:
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<img src="doc/img/home.png"/>
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And list them with the details in a sortable table:
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<img src="doc/img/home2.png"/>
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### Details page
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Uniform display of the flat information in a dedicated page, with the contact etc:
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<img src="doc/img/details.png"/>
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### Follow flats
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Track interesting flats and store them with notes:
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<img src="doc/img/followed.png"/>
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## OpenData
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I am using the following datasets, available under `flatisfy/data_files`,
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which covers Paris. If you want to run the script using some other location,
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you might have to change these files by matching datasets.
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* [LaPoste Hexasmal](https://datanova.legroupe.laposte.fr/explore/dataset/laposte_hexasmal/?disjunctive.code_commune_insee&disjunctive.nom_de_la_commune&disjunctive.code_postal&disjunctive.libell_d_acheminement&disjunctive.ligne_5) for the list of cities and postal codes in France.
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* [RATP stations](https://data.ratp.fr/explore/dataset/positions-geographiques-des-stations-du-reseau-ratp/table/?disjunctive.stop_name&disjunctive.code_postal&disjunctive.departement) for the list of subway stations with their positions in Paris and nearby areas.
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Both datasets are licensed under the Open Data Commons Open Database License
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(ODbL): https://opendatacommons.org/licenses/odbl/.
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## License
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The content of this repository is licensed under an MIT license, unless
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explicitly mentionned otherwise.
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## Contributing
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See the `CONTRIBUTING.md` file for more infos.
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## Thanks
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* [Weboob](http://weboob.org/)
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* The OpenData providers listed above!
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* Navitia for their really cool public transportation API.
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* A lots of Python modules, required for this script (see `requirements.txt`).
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* [Kresus](https://framagit.org/bnjbvr/kresus) which gave me part of the
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original idea (at least proved me such software based on scraping can
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achieve a high quality level :)
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* Current favicon is from [Wikipedia](https://commons.wikimedia.org/wiki/File:Home_Icon.svg)
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