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🎵 Spotify Artist Intelligence & Discovery Scraper

A high-performance Python scraper designed to extract deep metadata from Spotify Artist profiles. This tool utilizes Playwright for request interception, allowing it to bypass standard limitations and recover data that is often hidden or deprecated.

💎 The Most Affordable Scraper on the Store

This project is driven by a sustainability-first philosophy and absolute price transparency:

• At-Cost Pricing: My goal isn't high profit—it's to keep the tool accessible. The price is set to the absolute minimum required to cover infrastructure costs and keep the project running.
• Fueling Innovation: The popularity of this tool directly funds the development of new features and the release of more specialized scrapers for the community.
• Community-Centric: Found a bug or need a specific feature? Just open an Issue. I actively monitor the repository to implement fixes and new scrapers based on your direct feedback.

🚀 Key Advantages & Features

• [EXCLUSIVE] Related Artists Recovery: Reclaims the "Fans Also Like" network, a feature recently limited or removed from many public Spotify interfaces.
• Exact Playcounts: Extracts precise play counts for top tracks, providing better granularity than standard popularity scores.
• Geographic Insights: Identifies the Top 5 Cities with the highest concentration of monthly listeners.
• GraphQL Interception: Instead of slow DOM parsing, this tool intercepts internal API responses for maximum speed and 100% data integrity.
• Analysis Ready: Delivers structured JSON output perfect for A&R, music market research, and network analysis.

📊 Extracted Data Points

📥 Input Format

When running as an Apify Actor, use the following JSON input:

{
"startUrls":[
{"url":"[https://open.spotify.com/artist/](https://open.spotify.com/artist/)..."}
]
}

📥 Output Format

{
"name":"Artist Name",
"verified":true,
"listeners":1250430,
"followers":890200,
"biography":"Full artist biography text...",
"cities":[
{"city":"São Paulo","listeners":54200},
{"city":"Mexico City","listeners":41300},
{"city":"London","listeners":35000},
{"city":"Santiago","listeners":38900},
{"city":"Madrid","listeners":31200}
],
"related_artists":[
{
"id":"5XN...",
"name":"Similar Artist",
"link":"https://open.spotify.com/artist/..."
}
],
"tracks":[
{
"name":"Hit Track",
"playcount":25000000,
"duration_sec":195,
"link":"https://open.spotify.com/track/..."
}
]
}