Update projects/ytmusic.md
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To start with connecting to the YouTube Music API and downloading your playlist data using `curl` and storing this information in a `sqlite3` database, we'll break this task into stages. We'll focus on using the YouTube Data API (which supports YouTube Music data) for authentication and data fetching.
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### Stage 1: Setup and API Authentication
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#### 1.1 Create a Project and Enable YouTube Data API
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1. Go to the [Google Cloud Console](https://console.developers.google.com/).
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2. Create a new project.
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3. Enable the YouTube Data API v3 for your project.
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4. Create OAuth 2.0 credentials for your project and download the JSON file.
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#### 1.2 Using `curl` to Connect to the API
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First, you'll need to authenticate with OAuth 2.0. Here is a simple way to get an access token:
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1. **Request User Authorization**
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Open a browser and navigate to the following URL, replacing `YOUR_CLIENT_ID` and `YOUR_REDIRECT_URI` with your OAuth 2.0 Client ID and Redirect URI:
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```
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https://accounts.google.com/o/oauth2/v2/auth?scope=https://www.googleapis.com/auth/youtube.readonly&access_type=offline&include_granted_scopes=true&response_type=code&client_id=YOUR_CLIENT_ID&redirect_uri=YOUR_REDIRECT_URI
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```
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After the user grants permission, Google will redirect to the specified `redirect_uri` with a `code` query parameter.
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2. **Exchange Authorization Code for Access Token**
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Use `curl` to exchange the authorization code for an access token:
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```bash
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curl \
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-d "code=YOUR_AUTH_CODE" \
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-d "client_id=YOUR_CLIENT_ID" \
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-d "client_secret=YOUR_CLIENT_SECRET" \
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-d "redirect_uri=YOUR_REDIRECT_URI" \
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-d "grant_type=authorization_code" \
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https://oauth2.googleapis.com/token
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```
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This will return a JSON response with the `access_token` and `refresh_token`.
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#### 1.3 Fetch Playlist Data
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Now that you have the access token, you can fetch your playlists:
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```bash
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curl \
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-H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
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"https://www.googleapis.com/youtube/v3/playlists?part=snippet&mine=true"
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```
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### Stage 2: Store Data in SQLite
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Let's create a Python script to fetch the data using the YouTube Data API and store it in a SQLite database.
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#### 2.1 Install Required Packages
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```bash
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pip install requests sqlite3
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```
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#### 2.2 Create Python Script
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Create a script `fetch_and_store.py`:
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```python
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import requests
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import sqlite3
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import json
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# Replace with your actual access token
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ACCESS_TOKEN = 'YOUR_ACCESS_TOKEN'
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# Fetch playlists
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response = requests.get(
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'https://www.googleapis.com/youtube/v3/playlists?part=snippet&mine=true',
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headers={'Authorization': f'Bearer {ACCESS_TOKEN}'}
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)
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playlists = response.json()
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# Connect to SQLite database
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conn = sqlite3.connect('youtube_music.db')
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c = conn.cursor()
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# Create table for playlists
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c.execute('''
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CREATE TABLE IF NOT EXISTS playlists (
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id TEXT PRIMARY KEY,
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title TEXT,
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description TEXT,
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published_at TEXT
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)
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''')
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# Insert playlists into the database
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for item in playlists['items']:
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c.execute('''
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INSERT OR REPLACE INTO playlists (id, title, description, published_at)
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VALUES (?, ?, ?, ?)
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''', (item['id'], item['snippet']['title'], item['snippet']['description'], item['snippet']['publishedAt']))
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# Commit and close the connection
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conn.commit()
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conn.close()
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print("Playlists have been successfully saved to the database.")
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```
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### Stage 3: Fetching More Data and Analyzing
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#### 3.1 Fetch Playlist Items
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Update the script to fetch and store playlist items:
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```python
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# Fetch playlist items
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playlist_id = 'YOUR_PLAYLIST_ID'
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response = requests.get(
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f'https://www.googleapis.com/youtube/v3/playlistItems?part=snippet&playlistId={playlist_id}',
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headers={'Authorization': f'Bearer {ACCESS_TOKEN}'}
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)
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playlist_items = response.json()
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# Create table for playlist items
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c.execute('''
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CREATE TABLE IF NOT EXISTS playlist_items (
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id TEXT PRIMARY KEY,
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playlist_id TEXT,
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title TEXT,
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description TEXT,
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published_at TEXT,
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video_id TEXT
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)
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''')
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# Insert playlist items into the database
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for item in playlist_items['items']:
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c.execute('''
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INSERT OR REPLACE INTO playlist_items (id, playlist_id, title, description, published_at, video_id)
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VALUES (?, ?, ?, ?, ?, ?)
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''', (item['id'], playlist_id, item['snippet']['title'], item['snippet']['description'], item['snippet']['publishedAt'], item['snippet']['resourceId']['videoId']))
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# Commit and close the connection
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conn.commit()
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conn.close()
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print("Playlist items have been successfully saved to the database.")
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```
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### Stage 4: Analyzing Data
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You can now analyze the data using SQL queries directly on the SQLite database or by loading the data into a pandas DataFrame for more complex analysis and visualization.
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```python
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import sqlite3
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import pandas as pd
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import matplotlib.pyplot as plt
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# Connect to SQLite database
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conn = sqlite3.connect('youtube_music.db')
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# Load playlists into DataFrame
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playlists_df = pd.read_sql_query("SELECT * FROM playlists", conn)
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print(playlists_df.head())
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# Load playlist items into DataFrame
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playlist_items_df = pd.read_sql_query("SELECT * FROM playlist_items", conn)
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print(playlist_items_df.head())
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# Visualization Example
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playlist_items_df['title'].value_counts().plot(kind='bar', figsize=(10, 5))
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plt.title('Playlist Items by Title')
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plt.xlabel('Title')
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plt.ylabel('Count')
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plt.show()
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# Close the connection
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conn.close()
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```
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This staged approach will help you connect to the YouTube Data API, fetch playlist data, store it in a SQLite database, and perform data analysis.
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---
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# YouTube Music Data Analysis
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## Setup
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