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    "title": "TikTok Sound Scraper",
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    "readmeSummary": "## TikTok Sound Scraper\n\nTikTok Sound Scraper extracts structured metadata from TikTok videos that use a specified sound (accepts TikTok sound URLs or sound IDs). It crawls each sound's page to enumerate videos and returns per-video records including descriptive video metadata (captions, language, publish timestamp, hashtags, mentions, effects, and flags for ads/sponsored content and product links), engagement metrics (plays, likes, comments, shares, saves, reposts), creator/profile metadata (display name, handle, follower and following counts, total likes, video count, avatar and bio information, verification status), sound/audio metadata (title, author, sound ID, album info, originality flag, direct audio link, cover image), and media details (duration, dimensions, quality/definition, file format, cover image, and optional subtitle/transcript links when transcription is enabled). The Actor can optionally download media assets (video files, thumbnails, slide images, sound covers) and emits error records for sounds it cannot retrieve, including an error message, an error identifier, and the original sound reference.\n\n## Use cases\n\n- Sound trend tracking: charting play counts and timestamps to analyze how a sound spreads and when it peaks.\n- Music and artist marketing: monitoring how a track is used, attribution to authors, album association, and originality of sounds.\n- Influencer discovery: identifying creators using a sound with follower metrics and verification status for early outreach.\n- Paid placement detection: spotting promotional content via flags indicating ads, sponsorships, or product links.\n- Creative intelligence: analyzing captions, hashtags, effects, formats, and durations to understand what content formats perform with a given sound.",
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