# soundcloud-statistics

soundcloud-statistics is a flow lets us scrape artists data and metrics from SoundCloud.
Since SoundCloud limited access to their API, the flow uses Selenium for accessing pages with data, and ```BeautifulSoup``` library for processing the pages DOM.
The flow provides us with the next metrics:
* if the artist has *VERIFIED* label
* current **followers** count,  and it's growth compared to the previous week 
* current **followings** count,  and it's growth compared to the previous week 
* current **tracks** count, and it's growth compared to the previous week 
* current **plays** count, and it's growth compared to the previous week 
* current **likes** count, and it's growth compared to the previous week 
* current **reposts** count, and it's growth compared to the previous week 
* current **editorial playlist adds** count,  and it's growth compared to the previous week
* **plays engagement** as *plays* per *followers* metric

For scrapping the data ```BeautifulSoup``` and ```selenium```, what are side libraries having to be installed separately.
3d party libraries are listed at ```Pipfile``` which lock is using at ```Dockerfile``` while installing it.

###Technical features

For getting this flow working ChromeDriver need to be present at the directory and Chromium installed for local run at a computer, and for remote one in Docker container.
Currently, the OS for Chromium installation is Ubuntu. And the download commands are:

```RUN wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add - \```
```    && echo "deb http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google.list```

```RUN echo 'deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main' > /etc/apt/sources.list.d/google-chrome.list```

```RUN apt-get update && apt-get -y install google-chrome-stable```

It also requires the last chromedriver version could be found at https://chromedriver.chromium.org/downloads.

Initially it needs to be set up with ```set_webdriver()``` method.
When the flow starts, it uses the artist's SoundCloud profile link to reach the page. Then it reads the DOM with ```scroll_down()``` method allows us to get all the tracks. 
And with ```get_dom_of_artist_page()``` method it returns the DOM able to be scrapped through, using XPATHs declared at ```config.py```.

After all the data is scrapped, it is put at a dictionary with artist's username as a key.
And then, using the name, it is loaded to SnowFlake table.

As the initial table we could get the links from is *ARTISTS_TO_TRACK*, having all the links to Spotify, YouTube and SoundCloud also.

#Running the flow

To run the flow the repository contains ```Dockerfile```.
There we have OS installation (Centos8), location set up. 
Then we have *ARG* and *ENV* declarations. To provide them while building the ```Dockerfile``` **--build-arg {var_name}={var_value}** notation for is required.
Required environment variables* are:
* SNOWFLAKE_ROLE
* SNOWFLAKE_WAREHOUSE
* SNOWFLAKE_PASSWORD
* SNOWFLAKE_USER
* SNOWFLAKE_ACCOUNT
* SNOWFLAKE_DATABASE
* SNOWFLAKE_SCHEMA

To build the Docker container the following command from the repository directory:
```docker buildx build -f Dockerfile --build-arg SNOWFLAKE_ROLE=${SNOWFLAKE_ROLE} --build-arg SNOWFLAKE_WAREHOUSE=${SNOWFLAKE_WAREHOUSE} --build-arg SNOWFLAKE_PASSWORD=${SNOWFLAKE_PASSWORD} --build-arg SNOWFLAKE_USER=${SNOWFLAKE_USER} --build-arg SNOWFLAKE_ACCOUNT=${SNOWFLAKE_ACCOUNT} --build-arg SNOWFLAKE_DATABASE=${SNOWFLAKE_DATABASE} --build-arg SNOWFLAKE_SCHEMA=${SNOWFLAKE_SCHEMA} -t myimage .```
*${VAR_NAME}* need to be replaced with *required environment variables.
After this the container starts to build, and the last step written down is ```RUN python3 /spotify-statistics/spotify_with_spotipy.py``` that starts the flow.