This work and all the resulting documents (CSV, and others) are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

lyrics_scraper

This project is the result of PRAC1 of the subject "Tipologia i cicle de vida de les dades" of the Master of Data Science of the UOC (Universitat Oberta de Catalunya).

Description

This project has the capability to scrap the famous webpage https://www.azlyrics.com. To do so, the user can search by artist, album, song or letter and generate an output file (csv) with the information of every song.

This project is written in python3

Installation

I recommend using a virtualenv in order not to install requirements in your system, thus creating possibles incompatibilities.

virtualenv

1. Create a virtualenv. Remember using python3 as interpreter.

   virtualenv -p python3 venv

2. Activate your new virtualenv

   source venv/bin/activate

3. Install the project requirements in your virtualenv.

   pip install -r requirements.txt

Usage

It is intended to use it by calling the main.py file, that it contains some parameters to control several functionalities.

> python3 main.py -h

usage: main.py [-h] --output OUTPUT_FILE --search_by
               {artist,album,song,letter} --search SEARCH

Scrap azlyrics page

optional arguments:
  -h, --help            show this help message and exit
  --output OUTPUT_FILE, -o OUTPUT_FILE
                        Output file name.
  --search_by {artist,album,song,letter}
                        Set how to search by parameter.
  --search SEARCH, -s SEARCH
                        Search the following string.
  --batch_size BATCH_SIZE
                        Set the request batch size.

Example

python3 main.py --search_by 'artist' --search "pink floyd" -o output.csv

In this example, the output.csv will contain the information and cleaned lyrics of all songs of the 'pink floyd' artist.

Output

Now, there's only one possible output format: csv.

The csv columns names are self-explanatory:

• artist
• album_name
• album_year
• album_category
• song_name
• song_genre
• song_lyrics

Structure

.
├── main.py                 # Main file
├── README.md               # README.md
├── requirements.txt        # python requirements to be installed.
└── src
    ├── __init__.py
    ├── models.py           # Model output objects: Album, Artist, Song
    ├── outputer.py         # Functions to generate output files.
    ├── scraper
    │   ├── __init__.py
    │   ├── base.py         # Base abstract classes of the scraper.
    │   ├── exceptions.py   # Collection of custom exception classes.
    │   ├── plain.py        # Plain webpage scrapers.
    │   ├── requester.py    # Requester to perform batch requests.
    │   └── search.py       # Search webpage scrapers.
    ├── searcher.py         # Collection of search functions.
    └── utils.py            # Shared util functions.