Initial commit

- Python package to fetch song lyrics from paroles.net
- Web scraping functionality with requests and BeautifulSoup4
- Command-line interface for easy usage
- Comprehensive test suite with pytest
- GitLab CI configuration with uv support
- Package metadata and dependencies in pyproject.toml
- Documentation and usage instructions
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2025-08-11 14:21:12 +02:00
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# GitLab CI configuration for paroles-net-scraper
# Using uv for Python package management
stages:
- test
- build
- deploy
variables:
UV_VERSION: "0.2.25"
PYTHON_VERSION: "3.11"
# Cache uv packages between jobs
cache:
key: uv-cache
paths:
- .uv/
- uv.lock
before_script:
# Install uv if not already available
- which uv || curl -LsSf https://astral.sh/uv/install.sh | sh
# Set up Python environment
- uv python install $PYTHON_VERSION
.test_base:
stage: test
script:
# Sync dependencies
- uv sync --dev
# Run tests
- uv run pytest tests/ -v
test:python-3.11:
extends: .test_base
image: python:3.11-slim
test:python-3.12:
extends: .test_base
image: python:3.12-slim
variables:
PYTHON_VERSION: "3.12"
build-package:
stage: build
image: python:3.11-slim
script:
# Install uv
- which uv || curl -LsSf https://astral.sh/uv/install.sh | sh
# Sync dependencies
- uv sync --dev
# Build the package
- uv build
artifacts:
paths:
- dist/
expire_in: 1 week
# Deploy job (only runs on tags)
deploy-package:
stage: deploy
image: python:3.11-slim
script:
# Install uv
- which uv || curl -LsSf https://astral.sh/uv/install.sh | sh
# Install twine for uploading to PyPI
- uv pip install twine
# Upload to PyPI (using credentials from GitLab CI/CD variables)
- twine upload --username $PYPI_USERNAME --password $PYPI_PASSWORD dist/*
only:
- tags
dependencies:
- build-package

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# Paroles.net Scraper
A Python package to fetch song lyrics from [paroles.net](https://www.paroles.net/).
## Features
- Fetches song lyrics from paroles.net
- Cleans up advertisement content from lyrics
- Handles URL construction for different artists and songs
- Command-line interface for easy usage
- Comprehensive test suite
- Installable Python package
## Installation
1. Clone or download this repository
2. Install the package in development mode:
```bash
pip install -e .
```
Or if you're using uv:
```bash
uv sync
```
## Usage
### Command Line Interface
After installation, you can use the command line interface:
```bash
paroles-scraper "Artist Name" "Song Title"
```
### Examples
```bash
paroles-scraper "Ed Sheeran" "Shape of You"
paroles-scraper "Imagine Dragons" "Believer"
```
### As a Python Package
You can also use the package directly in your Python code:
```python
from paroles_net_scraper import get_song_lyrics
lyrics = get_song_lyrics("Ed Sheeran", "Shape of You")
print(lyrics)
```
## Testing
The project includes a comprehensive test suite using pytest. To run the tests:
```bash
pytest tests/ -v
```
Or if you're using the virtual environment:
```bash
source .venv/bin/activate
pytest tests/ -v
```
## CI/CD
This project includes a GitLab CI configuration (`.gitlab-ci.yml`) that:
- Runs tests on multiple Python versions
- Builds the package using uv
- Can deploy to PyPI (when configured with credentials)
To use the GitLab CI pipeline:
1. Push your code to a GitLab repository
2. Ensure your GitLab runner is configured
3. Set up PyPI credentials as CI/CD variables if you want to deploy
## How it works
The package constructs a URL based on the artist name and song title, then scrapes the paroles.net website to extract the lyrics. It uses BeautifulSoup to parse the HTML and extract only the relevant text content while filtering out advertisements and other unwanted content.
## Disclaimer
This package is for educational purposes only. Please respect the terms of service of paroles.net and use this package responsibly. Consider the legal and ethical implications of web scraping before using this tool.
## Dependencies
- Python 3.7+
- requests
- beautifulsoup4
- pytest (for running tests)
- uv (for dependency management and packaging)

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# Using uv with paroles-net-scraper
This document explains how to use uv with the paroles-net-scraper package.
## Installation with uv
1. Clone the repository:
```bash
git clone <repository-url>
cd paroles-net-scraper
```
2. Install dependencies with uv:
```bash
uv sync
```
## Running the package with uv
After installing dependencies, you can run the package directly with uv:
```bash
uv run paroles-scraper "Artist Name" "Song Title"
```
## Running tests with uv
To run the test suite with uv:
```bash
uv run pytest tests/ -v
```
## Building the package with uv
To build the package distribution files:
```bash
uv build
```
This will create both source and wheel distributions in the `dist/` directory.
## Installing the package in development mode with uv
```bash
uv pip install -e .
```
## Managing dependencies with uv
To add a new dependency:
```bash
uv add <package-name>
```
To remove a dependency:
```bash
uv remove <package-name>
```
To update dependencies:
```bash
uv lock --upgrade
```

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"""
paroles_net_scraper - A package to fetch song lyrics from paroles.net
"""
from .paroles_net_scraper import get_song_lyrics, search_song
__version__ = "0.1.0"
__author__ = "Rene Luria"
__all__ = ["get_song_lyrics", "search_song"]

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#!/usr/bin/env python3
"""
Command line interface for paroles.net scraper
"""
import sys
import os
# Add the package directory to the path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from paroles_net_scraper.paroles_net_scraper import main
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
Module to fetch song lyrics from paroles.net
"""
import requests
from bs4 import BeautifulSoup
import argparse
import re
def get_song_lyrics(artist, song_title):
"""
Fetch song lyrics from paroles.net
Args:
artist (str): Name of the artist
song_title (str): Title of the song
Returns:
str: Song lyrics or error message
"""
# Format the URL
# Convert artist and song to lowercase and replace spaces with hyphens
formatted_artist = artist.lower().replace(' ', '-').replace('$', 's').replace('&', 'and')
formatted_song = song_title.lower().replace(' ', '-').replace('\'', '').replace('"', '')
url = f"https://www.paroles.net/{formatted_artist}/paroles-{formatted_song}"
try:
# Set headers to mimic a browser request
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}
# Send GET request
response = requests.get(url, headers=headers)
response.raise_for_status() # Raise exception for bad status codes
# Parse HTML content
soup = BeautifulSoup(response.content, 'html.parser')
# Find the lyrics container
# Looking for the div with class 'song-text'
lyrics_div = soup.find('div', class_='song-text')
if not lyrics_div:
return "Lyrics not found on the page"
# Extract text content
# Get all text from the div but preserve line breaks
lyrics_parts = []
for element in lyrics_div.descendants:
if element.name == 'br':
lyrics_parts.append('\n')
elif element.string and element.string.strip():
# Skip the heading that repeats the song info
if 'Paroles de la chanson' not in element.string:
lyrics_parts.append(element.string)
# Join the parts and clean up
lyrics = ''.join(lyrics_parts).strip()
# Clean up extra whitespace while preserving verse structure
lines = lyrics.split('\n')
cleaned_lines = []
for line in lines:
stripped_line = line.strip()
# Skip empty lines and ad content
if stripped_line and not re.match(r'^(Content_\d+|.*Advertisement.*|\d+\s*)$', stripped_line):
# Also remove inline ad markers
cleaned_line = re.sub(r'^Content_\d+\s*', '', stripped_line)
if cleaned_line: # Only add non-empty lines
cleaned_lines.append(cleaned_line)
lyrics = '\n'.join(cleaned_lines).strip()
if not lyrics:
return "Could not extract lyrics from the page"
return lyrics
except requests.exceptions.RequestException as e:
return f"Error fetching lyrics: {str(e)}"
except Exception as e:
return f"Error parsing lyrics: {str(e)}"
def search_song(artist, song_title):
"""
Search for a song on paroles.net and return the first result
Args:
artist (str): Name of the artist
song_title (str): Title of the song
Returns:
str: URL of the first search result or error message
"""
# Format search URL
search_query = f"{artist} {song_title}"
search_url = f"https://www.paroles.net/recherche?q={requests.utils.quote(search_query)}"
try:
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}
response = requests.get(search_url, headers=headers)
response.raise_for_status()
soup = BeautifulSoup(response.content, 'html.parser')
# Find the first search result link
first_result = soup.find('a', href=lambda x: x and '/paroles-' in x)
if first_result:
return f"https://www.paroles.net{first_result['href']}"
else:
return "No search results found"
except requests.exceptions.RequestException as e:
return f"Error searching for song: {str(e)}"
def main():
parser = argparse.ArgumentParser(description='Fetch song lyrics from paroles.net')
parser.add_argument('artist', help='Artist name')
parser.add_argument('song', help='Song title')
parser.add_argument('--search', action='store_true', help='Use search functionality instead of direct URL construction')
args = parser.parse_args()
if args.search:
# First search for the song to get the correct URL
search_result = search_song(args.artist, args.song)
if search_result.startswith("http"):
# Extract artist and song from the URL
print(f"Found song at: {search_result}")
# For simplicity, we'll still call get_song_lyrics with original params
lyrics = get_song_lyrics(args.artist, args.song)
print(lyrics)
else:
print(search_result) # Print error message
else:
lyrics = get_song_lyrics(args.artist, args.song)
print(lyrics)
if __name__ == "__main__":
main()

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[project]
name = "paroles-net-scraper"
version = "0.1.0"
description = "A Python package to fetch song lyrics from paroles.net"
authors = [
{name = "Rene Luria", email = "rene.luria@infomaniak.com"}
]
readme = "README.md"
license = {text = "MIT"}
dependencies = [
"requests>=2.25.1",
"beautifulsoup4>=4.9.3"
]
requires-python = ">=3.7"
[project.optional-dependencies]
test = [
"pytest>=6.0"
]
[project.scripts]
paroles-scraper = "paroles_net_scraper.cli:main"
[project.urls]
Homepage = "https://github.com/yourusername/paroles-net-scraper"
Repository = "https://github.com/yourusername/paroles-net-scraper"
[build-system]
requires = ["setuptools>=45", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools.packages.find]
where = ["."]
include = ["paroles_net_scraper*"]
[tool.setuptools.package-data]
paroles_net_scraper = ["py.typed"]

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"""
Test suite for paroles_net_scraper package
"""
import sys
import os
import pytest
from unittest.mock import patch, Mock
# Add the parent directory to the path so we can import the scraper
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
# Import from the package
from paroles_net_scraper import get_song_lyrics
def test_get_song_lyrics_success():
"""Test successful lyrics retrieval with mocked response"""
# Mock HTML response with lyrics
mock_html = """
<html>
<body>
<div class="song-text">
<h2>Paroles de la chanson Test Song par Test Artist</h2>
<div>
This is the first line of the song<br>
This is the second line of the song<br>
This is the third line of the song<br>
</div>
</div>
</body>
</html>
"""
# Mock response object
mock_response = Mock()
mock_response.content = mock_html
mock_response.raise_for_status.return_value = None
# Mock BeautifulSoup parsing
with patch('paroles_net_scraper.paroles_net_scraper.requests.get', return_value=mock_response):
lyrics = get_song_lyrics("Test Artist", "Test Song")
assert "This is the first line of the song" in lyrics
assert "This is the second line of the song" in lyrics
assert "This is the third line of the song" in lyrics
# Check that the heading is not included
assert "Paroles de la chanson" not in lyrics
def test_get_song_lyrics_not_found():
"""Test handling of song not found"""
# Mock HTML response without lyrics div
mock_html = """
<html>
<body>
<div class="content">
<p>Song not found</p>
</div>
</body>
</html>
"""
# Mock response object
mock_response = Mock()
mock_response.content = mock_html
mock_response.raise_for_status.return_value = None
with patch('paroles_net_scraper.paroles_net_scraper.requests.get', return_value=mock_response):
lyrics = get_song_lyrics("Non Existent", "Non Existent Song")
assert lyrics == "Lyrics not found on the page"
def test_get_song_lyrics_request_exception():
"""Test handling of request exceptions"""
with patch('paroles_net_scraper.paroles_net_scraper.requests.get', side_effect=Exception("Network error")):
lyrics = get_song_lyrics("Test Artist", "Test Song")
assert "Error parsing lyrics" in lyrics
def test_url_formatting():
"""Test URL formatting with special characters"""
# This test will check that the URL is properly formatted
# We'll test this by checking the requests.get call arguments
mock_response = Mock()
mock_response.content = "<div class='song-text'></div>"
mock_response.raise_for_status.return_value = None
with patch('paroles_net_scraper.paroles_net_scraper.requests.get', return_value=mock_response) as mock_get:
# Test with artist and song containing spaces and special characters
get_song_lyrics("Ed Sheeran", "Shape of You")
expected_url = "https://www.paroles.net/ed-sheeran/paroles-shape-of-you"
mock_get.assert_called_once_with(expected_url, headers={
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
})
if __name__ == "__main__":
pytest.main([__file__])

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