flatisfy/README.md

Flatisfy
========

**PROJECT HAS MOVED: Please use
[Framagit](https://framagit.org/phyks/Flatisfy) to create issues on the
project. You can still create merge requests from either
[Github](https://github.com/phyks/flatisfy) or
[Framagit](https://framagit.org/phyks/Flatisfy).**

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
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 :)

<img src="doc/img/home.png" width="45%"/> <img src="doc/img/home2.png" width="45%"/>

It uses [woob](https://gitlab.com/woob/woob/) 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!


## Getting started

See the [getting started guide](doc/0.getting_started.md). If you want to give
it a try quickly, you can have a look at the [Docker image](doc/2.docker.md).

Documentation for the whole app is available
[online](https://doc.phyks.me/flatisfy/).


## Documentation

See the [dedicated folder](doc/).


## Screenshots

### Home page

Display available flats on a map:
<img src="doc/img/home.png"/>

And list them with the details in a sortable table:
<img src="doc/img/home2.png"/>


### Details page

Uniform display of the flat information in a dedicated page, with the contact etc:

<img src="doc/img/details.png"/>


### Follow flats

Track interesting flats and store them with notes:

<img src="doc/img/followed.png"/>


## OpenData

I am using the following datasets, available under `flatisfy/data_files`,
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](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.
* [Navitia public transport datasets](https://navitia.opendatasoft.com/explore/?sort=modified&refine.geographicarea=France) for the list of subway/tram/bus stations with their positions in France. These are the `stops_fr-*.txt` files, extracted from the `NTFS` datasets for each region.

Both datasets are licensed under the Open Data Commons Open Database License
(ODbL): https://opendatacommons.org/licenses/odbl/.


## License

The content of this repository is licensed under an MIT license, unless
explicitly mentionned otherwise.


## Contributing

See the `CONTRIBUTING.md` file for more infos.


## API

Your Flatisfy instance is accessible through an API. API documentation is
available
[here](https://doc.phyks.me/flatisfy/flatisfy.web.routes.html#module-flatisfy.web.routes.api).


## Getting help

Feel free to open issues. An IRC channel is available at [irc://irc.freenode.net/flatisfy](irc://irc.freenode.net/flatisfy) as well.


## Thanks

* [Woob](https://gitlab.com/woob/woob/). Note that this is actually the only and best
  software out there to scrape housing posts online. Using it in Flatisfy does
  not mean the authors of Flatisfy endorse Woob authors' views.
* The OpenData providers listed above!
* Navitia for their really cool public transportation API.
* A lots of Python modules, required for this script (see `requirements.txt`).
* [Kresus](https://framagit.org/bnjbvr/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](https://commons.wikimedia.org/wiki/File:Home_Icon.svg)