Update doc according to @nicofrand's suggestions

doc/0.getting_started.md

@@ -34,21 +34,29 @@ An alternative method is available using Docker. See [2.docker.md](2.docker.md).
 
 1. Clone the repository.
 2. Install required Python modules: `pip install -r requirements.txt`.
-3. Init a configuration file: `python -m flatisfy init-config > config.json`.
+3. If you are running Flatisfy with Python 2, you should also `pip install
+   functools32`.
+4. Init a configuration file: `python -m flatisfy init-config > config.json`.
    Edit it according to your needs (see below).
-4. Build the required data files:
+5. Build the required data files:
    `python -m flatisfy build-data --config config.json`.
-5. Use it to `fetch` (and output a filtered JSON list of flats) or `import`
-   (into an SQLite database, for the web visualization) a list of flats
-   matching your criteria.
-6. Install JS libraries and build the webapp:
+6. You can now run `python -m flatisfy import --config config.json` to fetch
+   available flats, filter them and import everything in a SQLite database,
+   usable with the web visualization.
+7. Install JS libraries and build the webapp:
    `npm install && npm run build:dev` (use `build:prod` in production).
-7. Use `python -m flatisfy serve --config config.json` to serve the web app.
+8. Use `python -m flatisfy serve --config config.json` to serve the web app.
 
-Note: `Flatisfy` requires an up-to-date Node version. You can find
+_Note_: `Flatisfy` requires an up-to-date Node version. You can find
 instructions on the [NodeJS website](https://nodejs.org/en/) to install latest
 LTS version.
 
+_Note_: Alternatively, you can `python -m flatisfy fetch --config config.json`
+to fetch available flats, filter them and output them as a filtered JSON list
+(the web visualization will not be able to display them). This is mainly
+useful if you plan in integrating Flatisfy in your own pipeline.
+
+
 
 ## Available commands