qq-musicProvides summary data for public QQ Music playlists, songs, and artists including plays, favorites, and ranking trends without download or bulk scraping.
Install via ClawdBot CLI:
clawdbot install mike47512/qq-musicGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://y.qq.com/`Audited Apr 16, 2026 · audit v1.0
Generated Mar 22, 2026
Content creators and influencers can use this skill to analyze trending songs and playlists on QQ Music. They can identify popular tracks to feature in their content, understand audience preferences by genre or language distribution, and track performance metrics like play counts and favorites to inform their creative decisions.
Music labels and artists can monitor their performance against competitors on QQ Music. The skill allows them to analyze playlist inclusions, track play counts and favorites for their songs, compare artist performance over time (e.g., last 7/30 days), and assess trends in rankings to strategize releases and marketing efforts.
Streaming platforms and music services can use this skill to gather insights into QQ Music's public data. They can analyze top charts, genre distributions, and language trends to understand market preferences, benchmark their own offerings, and identify gaps or opportunities in their content libraries without violating platform rules.
Researchers and students in musicology or data science can utilize this skill to study music trends and listener behavior on QQ Music. They can extract data on song popularity, playlist compositions, and artist performance metrics for academic projects, statistical analysis, or cultural studies, adhering to compliance guidelines for public data use.
Offer a subscription-based software service that integrates this skill to provide automated reports on QQ Music trends. Businesses can access dashboards with insights on playlist performance, artist comparisons, and market trends, generating revenue through monthly or annual fees from music labels, creators, and researchers.
Provide specialized consulting services using this skill to analyze QQ Music data for clients. Consultants can deliver custom reports on competitive intelligence, trend forecasting, and audience insights, charging per project or on a retainer basis to help clients make data-driven decisions in the music and entertainment sectors.
Develop tools or plugins that leverage this skill for content creators and influencers. These tools could automate trend discovery, generate recommendations for music to feature, and provide performance metrics, monetized through one-time purchases, freemium models, or in-app advertisements targeting the digital media industry.
💬 Integration Tip
Ensure users manually trigger parsing after opening pages to handle dynamic rendering and human verification, and control request frequency to avoid batch scraping for compliance.
Scored Jun 19, 2026
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