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    "readmeSummary": "## Instagram Post Scraper\n\nA scalable scraper for extracting structured metadata and media from public Instagram posts (profiles or specific post URLs) beyond the official Instagram API limits. It collects post-level details across images, carousels (sidecars), reels and videos, including captions, hashtags, mentions, tagged users, post type, timestamps, author profile information and IDs, media URLs, image dimensions and alt text, engagement metrics (likes, comment counts, replies, view and play counts), snapshots of recent comments with timestamps and likes, video duration, child/sidecar posts, and music metadata (optional for image/carousel posts; detailed for video posts). Designed for batch and profile-level extraction at scale with date filtering and pinned-post handling, producing structured records for downstream analytics, trend detection, content-performance measurement and dataset creation.\n\n## Use cases\n\n- Monitoring creators’ or competitors’ Instagram content and posting behavior\n- Identifying trending content via engagement metrics, posting frequency, and post-type performance\n- Content performance analysis across images, carousels and reels/videos (views, plays, duration, engagement)\n- Hashtag and mention extraction for hashtag analytics and influencer discovery\n- Snapshotting recent comments for sentiment analysis, moderation signals, or engagement tracking\n- Building archival datasets of post metadata and media for research, reporting, or model training",
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}