shahriar-rahman / Ipywidgets-Azlyrics

Scraping music metadata and storing in a SQLite database for inspection using interactive Jupyter-widgets.

Azlyrics Discography

This project focuses on scraping music metadata and storing in a SQLite database for inspection using interactive Jupyter-Widgets from the Azlyrics page.

'Retro cassette tape with small flower' by Elijah O'Donnell | Pexels Licensed

◘ Navigation

• Technical Description
  • Objectives
  • Repository Organization
• Database Specifications
  • Generated Tables
  • Entity-Relationship Diagram
• Requisites
  • Technologies
  • Packages
  • Installation
  • Resources
• License
  • MIT

◘ Technical Description

• Objectives

• Crawl the page and scrape target data.
• Store in the database.
• Using interactive widgets, select tracks to view the meta data including albums, lyrics, year, and so forth.
• Update the database accordingly.

• Repository Organization

• database [contains stored data]
• docs [documentation folders]
• files [project related files]
• src [source codes for the project]
• LICENSE
• README.md

◘ Database Specifications

• Generated Tables

Artists

Column	Description
artist_id	The id of the artist.
artist_name	Artist title.
artist_path	The URL of the artist.
created_at	Date of creation.
updated_at	Date of update.

Albums

Column	Description
album_id	The id of the album.
album_name	Album title.
album_year	Released year.
artist_id	Artist title.
created_at	Date of creation.
updated_at	Date of update.

Tracks

Column	Description
track_id	The id of the song.
track_name	Soundtrack Title.
track_lyrics	Lyrics of the song.
track_credits	Contributors.
track_path	The URL of the track.
artist_id	Artist title.
artist_id	Artist title.
created_at	Date of creation.
updated_at	Date of update.

• ERD

◘ Requisites

• Technologies

1. Python 3.11
2. Jupyter Notebooks

• Packages

1. db-sqlite3==0.0.1
2. bs4==0.0.1
3. requests==2.28.1
4. ipywidgets==7.7.1
5. numpy==1.23.5

• Installation

By ensuring the correct directory, the pwd command can be used to check: .../Ipywidgets-Azlyrics. The ls command returns the following:

$ ls                          
data/  README.md  artist_scraping.py                

Execute the Jupyter cells sequentially in the script called main that utilizes BeautifulSoup to save all artists names in the database.

• The output file is: azlyrics.db inside the database directory.

• Resources

For more details, visit the following links:

• sqlite3
• sqlite3 Python
• sqlite3 Github
• ipywidgets
• ipywidgets Github
• BeautifulSoup

◘ License

• MIT License

Copyright (c) 2023 Shahriar Rahman

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.