Update README.md

README.md

@@ -4,16 +4,14 @@
 The hydro data scraper is a tool to collect operational hydrological data from the [Linked Data Services platform (LINDAS)](https://lindas.admin.ch/?lang=de). This repository contains the code that can be deployed on a server to periodically read the latest observations from LINDAS. 
 
 # Example deployment
-1. On your server, install docker and git.
-2. Clone the git repository: git clone https://github.com/hydrosolutions/hydro_data_scraper.git (in the this example we clone it to path /data)
-3. Edit the gauge station IDs in the .env file of the repository (a geospatial layer with station IDs is available on [map.geo.admin.ch](https://map.geo.admin.ch/#/map?lang=en&center=2660025,1189925&z=1&bgLayer=ch.swisstopo.pixelkarte-grau&topic=gewiss&layers=ch.bafu.hydrologie-hydromessstationen).
-4. Pull the docker image that is created from the main branch of this repository: docker pull mabesa/hydro-scarper
-5. Edit your crontabs to periodically run the hydro data scraper every 9 minutes:
-
-    Open the crontab file for editing: crontab -e
-
-    Add the following line: */9 * * * * docker run --rm -v /data/hydro_data_scraper:/app mabesa/hydro-scraper:latest >> /data/hydro_data_scraper/logfile.log 2>&1
-
-    Save your edits and exit the editor  
+We assume you have an Ubuntu server available with docker engine ([installation instructions](https://docs.docker.com/engine/install/ubuntu/)) and git (`sudo apt-get install git`) installed.   
+
+1. Clone the git repository: `git clone https://github.com/hydrosolutions/hydro_data_scraper.git` (in the this example we clone it to path /data)  
+2. Edit the gauge station IDs in the .env file of the repository (a geospatial layer with station IDs is available on [map.geo.admin.ch](https://map.geo.admin.ch/#/map?lang=en&center=2660025,1189925&z=1&bgLayer=ch.swisstopo.pixelkarte-grau&topic=gewiss&layers=ch.bafu.hydrologie-hydromessstationen).  
+3. Pull the docker image that is created from the main branch of this repository: `docker pull mabesa/hydro-scarper`  
+4. Edit your crontabs to periodically run the hydro data scraper every 9 minutes:
+   - Open the crontab file for editing: `crontab -e`
+   - Add the following line: `*/9 * * * * docker run --rm -v /data/hydro_data_scraper:/app mabesa/hydro-scraper:latest >> /data/hydro_data_scraper/logfile.log 2>&1`
+   - Save your edits and exit the editor  
 
 Note that this will write a file called lindas_hydro_data.csv to path /data/hydro_data_scraper/data which will grow quickly over time.