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    "description": "Extract transcript-ready text, public captions, shortcodes, hashtags, mentions, and status rows from public Instagram Reels and videos.",
    "isPublic": true,
    "createdAt": "2026-06-26T19:25:55.650Z",
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      "body": "{\"urls\": [{\"url\": \"https://www.instagram.com/reel/C8nkcKzoLHL/\"}], \"maxItems\": 1, \"includeMetadata\": true, \"transcriptionMode\": \"auto\", \"language\": \"auto\", \"proxyConfiguration\": {\"useApifyProxy\": true}}",
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    "categories": [
      "SOCIAL_MEDIA",
      "VIDEOS",
      "AI"
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    "title": "Instagram AI Transcript Extractor",
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    "seoTitle": "Instagram AI Transcript Extractor for Reels & Videos",
    "seoDescription": "Extract transcript-ready text and public metadata from Instagram Reels and videos. Export clean JSON or CSV rows for research, QA, and AI workflows.",
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    "notice": "NONE",
    "isCritical": false,
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    "readmeSummary": "## Instagram AI Transcript Extractor\n\nA tool that extracts AI-generated transcripts from public Instagram Reels and video posts by downloading media and running automated speech recognition to produce readable transcript text and timestamped segments. The Actor normalizes and deduplicates input URLs, downloads video/audio, and combines browser-scraped payloads with local ASR processing (including Whisper.cpp-style models) to emit per-URL results that include full transcript text, timestamped segment data when available, language labels/provenance, media diagnostics (duration, content length, media type, owner/media metadata when present), processing model/source labels, scrape timestamps, and per-URL success/failure classifications for QA and tracking.\n\n## Use cases\n\n- Convert individual Instagram Reels into text for blog posts, captions, summaries, and briefs.  \n- Process small batches of Reels for content review and trend analysis.  \n- Support researchers analyzing creator messaging, public campaigns, or social media trends.  \n- Provide accessibility and compliance teams with transcript text and timestamped segments for review.  \n- Supply developers and AI agents with structured transcript text, timing segments, and media metadata for downstream NLP, indexing, or repurposing workflows.  \n- Audit mixed batches with per-URL status and error classification to review transcription outcomes across many inputs.",
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}