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xhoantranxhoantran/scrapeio-agent/skills/video-transcript-research/SKILL.md

video-transcript-research

Skill66 starsChanged 6 days agoMITView on GitHub

Pull and analyze transcripts of YouTube videos, TikToks, Instagram reels, X videos and LinkedIn videos - summarize, extract products, claims, quotes or hooks, and compare across many videos. Use when the user asks what a video or creator says, wants to search spoken content, or research a topic across videos. Uses the ScrapeIO API.

  • Reads credentials

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Collect URLs: Use the user's links, or list a creator's videos (youtube_channel_videos, tiktok_profile_videos, instagram_user_reels) or …

    line 23
  2. Very specific:

    With the scrapeio MCP server: use the named tool when it exists (for example tiktok_profile).

    line 36

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Video transcript research

Transcript endpoints (all take url)

PlatformTool or pathCredits
YouTubeyoutube_transcript (/v1/youtube/video/transcript, optional language)1
TikToktiktok_transcript (/v1/tiktok/video/transcript)1
Instagram reels under 2 minutesinstagram_transcript (/v2/instagram/media/transcript)2
X/v1/twitter/tweet/transcript1
Facebook/v1/facebook/post/transcript1
LinkedIn/v1/linkedin/post/transcript1

Videos without captions return no transcript and cost nothing.

Steps

  1. Collect URLs. Use the user's links, or list a creator's videos (youtube_channel_videos, tiktok_profile_videos, instagram_user_reels) or search (youtube_search, tiktok_search_keyword). Confirm the count before pulling more than 25.
  2. Pull transcripts one by one. Keep url, caption and created_at with each.
  3. Analyze for what the user asked: summary, products and brands mentioned, claims with timestamps, the hook (first 2 sentences), recurring topics across videos.
  4. Quote short exact lines as evidence and link each video.

Output

For one video: a summary, key points and quotes with timestamps. For many: a table (video, date, main topic, mentions) plus patterns across them. Say how many videos had no transcript.

How to call ScrapeIO

Needs SCRAPEIO_API_KEY. If it is missing, ask the user to get a free key at https://scrapeio.com/login (100 credits, no card). Never print the key.

  • With the scrapeio MCP server: use the named tool when it exists (for example tiktok_profile). For any other path, use call_endpoint with { "path": "/v1/...", "params": { ... } }.
  • Without MCP: curl -s "https://scrapeio.com<path>?<params>" -H "x-api-key: $SCRAPEIO_API_KEY".
  • Answers are in data; lists are data.items with data.cursor and data.has_more. Fields are the same on every platform: handle, followers, plays, likes, comments, shares, created_at, url.
  • 403 (private) and 404 (not found) are free: skip and move on. Retry 502 once. 402 means the user needs credits (https://scrapeio.com/pricing).
  • Watch credits_remaining and tell the user before a step would spend more than they expect.

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