YouTube video metadata scraper skill for AI agents
Get full metadata for any YouTube video or Short: channel info, chapters, endscreen elements, caption track list, related videos and comments, from a URL or video ID.
What the skill does
It tells your agent when a request fits the YouTube Video Metadata & Chapter Extractor Actor, which input to send and which fields come back (video id, url, title, channel and 56 more). The agent runs it through the Apify API with your token and gets JSON rows.
Skill files updated 2026-11-14.Install by hand
Save the five files into a folder named youtube-video-metadata-and-chapter-extractor: ~/.claude/skills/youtube-video-metadata-and-chapter-extractor/ for Claude Code, ~/.agents/skills/youtube-video-metadata-and-chapter-extractor/ for Codex and most other agents.
- SKILL.mdWhen to use the skill, the input and the fields it returns, 4.9 KB
- scripts/run.mjsRuns the Actor with your token (Node 18 or later), 1.1 KB
- references/example-input.jsonA starter input that passes the Actor's schema, 140 bytes
- references/input-schema.jsonEvery input setting the Actor accepts, 2.7 KB
- references/output-fields.jsonEvery field the Actor declares, 2.4 KB
The same five files as one download: youtube-video-metadata-and-chapter-extractor.zip (4.9 KB).
Run it
Ask your agent in plain words, for example "YouTube video metadata scraper", and it picks the skill from its description. Or run the script yourself:
export APIFY_TOKEN=your_apify_token
cd youtube-video-metadata-and-chapter-extractor # the skill folder
node scripts/run.mjs # the example input
node scripts/run.mjs my-input.json # your own input Without an argument the script uses references/example-input.json. It waits for the run and prints the rows as JSON; for long runs SKILL.md shows the async API calls.
What it returns
| Field | What it is |
|---|---|
| videoId | Video ID |
| url | URL |
| title | Title |
| channelName | Channel |
| viewCount | Views |
| likeCount | Likes |
| commentCount | Comments |
| durationSeconds | Duration (s) |
| publishedDate | Published |
| publishedAt | Published at |
| category | Category |
| playabilityStatus | Playability Status |
| isPlayable | Is Playable |
| isAgeGated | Age Gated |
| commentsDisabled | Comments Disabled |
| success | Success |
Read SKILL.md
Show the whole file (4.9 KB)
---
name: youtube-video-metadata-and-chapter-extractor
description: "Get full metadata for any YouTube video or Short: channel info, chapters, endscreen elements, caption track list, related videos and comments, from a URL or video ID. Output fields: url, title, viewCount, likeCount, commentCount and more, as JSON rows. Use it for requests like \"YouTube video metadata scraper\", or a CSV/JSON export of public YouTube data."
---
# YouTube Video Metadata & Chapter Extractor
Get full metadata for any YouTube video or Short: channel info, chapters, endscreen elements, caption track list, related videos and comments, from a URL or video ID.
- Actor: https://apify.com/vexaloom-labs/youtube-video-metadata-and-chapter-extractor (ID `vexaloom-labs~youtube-video-metadata-and-chapter-extractor`)
- n8n workflow for the same Actor: https://scraperfinder.com/n8n/youtube-video-metadata-and-chapter-extractor/
- Example input: `references/example-input.json`
- Input schema: `references/input-schema.json`
- Output fields: `references/output-fields.json`
## When to use
Use this skill when the user wants:
- YouTube video metadata scraper
- a repeatable export of public YouTube data as CSV or JSON
Do not use it for private, login-protected or paywalled data.
## What it returns
One JSON row per result. Columns from the Actor's dataset schema:
- `videoId`: Video ID
- `url`: URL
- `title`: Title
- `channelName`: Channel
- `viewCount`: Views
- `likeCount`: Likes
- `commentCount`: Comments
- `durationSeconds`: Duration (s)
- `publishedDate`: Published
- `publishedAt`: Published at
- `category`: Category
- `playabilityStatus`: Playability Status
- `isPlayable`: Is Playable
- `isAgeGated`: Age Gated
- `commentsDisabled`: Comments Disabled
- `success`: Success
All 60 declared fields: `references/output-fields.json`.
## Inputs
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
| `videoUrls` | array | yes | | YouTube watch, youtu.be, Shorts, embed or live links, or 11-character video IDs. Duplicates are removed. |
| `maxComments` | integer | no | 0 | Maximum comment texts to collect per video. Set to 0 to skip comments. The display comment count is extracted separately. |
| `includeChapters` | boolean | no | true | Extract manual and automatic chapters with title, start, end and source. |
| `includeHeatmap` | boolean | no | false | Add the Most replayed heatmap segments and labels when YouTube provides them. |
| `includeEndscreen` | boolean | no | true | Extract endscreen elements shown at the end of the video. |
| `includeCards` | boolean | no | false | Extract interactive info cards embedded in the video. |
| `includeTranscriptMetadata` | boolean | no | true | List available caption tracks with language and manual or auto-generated status. |
| `includeTranscript` | boolean | no | true | Download the transcript when a caption track is available. Adds one request per video. |
| `includeRelatedVideos` | integer | no | 0 | Number of related videos to extract from the watch page sidebar. 0 skips them. |
Example (`references/example-input.json`):
```json
{
"videoUrls": [
"jNQXAC9IVRw",
"dQw4w9WgXcQ",
"M7lc1UVf-VE"
],
"includeEndscreen": false,
"includeTranscript": false
}
```
The input passes the Actor's input schema (checked at every publish). First run: `maxComments` = 0, small enough for the 300-second sync wait; raise it once the rows look right.
## Run it
Set `APIFY_TOKEN`, then call the synchronous endpoint for small and medium runs (it waits up to 300 seconds):
```bash
curl -s -X POST "https://api.apify.com/v2/acts/vexaloom-labs~youtube-video-metadata-and-chapter-extractor/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d @references/example-input.json > output.json
```
Or with Node 18+: `node scripts/run.mjs [input.json]`.
For large runs, start an async run and read its dataset when it finishes:
```bash
RUN=$(curl -s -X POST "https://api.apify.com/v2/acts/vexaloom-labs~youtube-video-metadata-and-chapter-extractor/runs" \
-H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
-d @references/example-input.json)
RUN_ID=$(echo "$RUN" | jq -r '.data.id'); DATASET=$(echo "$RUN" | jq -r '.data.defaultDatasetId')
curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?waitForFinish=60" -H "Authorization: Bearer $APIFY_TOKEN" | jq -r '.data.status'
curl -s "https://api.apify.com/v2/datasets/$DATASET/items?format=json" -H "Authorization: Bearer $APIFY_TOKEN" > output.json
```
## Cost and limits
- Apify bills the Actor's usage on your account; the Actor's Pricing tab shows the current price.
- Keep the limit in the input small for a first run.
## Guardrails
- Public data only. Do not pass cookies, sessions or private account data.
- Do not use the output for spam, harassment or unlawful discrimination.
- Check the target site's terms and local law before running at scale.
Same Actor, other ways
- The youTube video metadata scraper n8n workflow: the same job as a scheduled n8n workflow, imported from a URL.
- YouTube Video Metadata & Chapter Extractor: fields, inputs and price per plan.
- YouTube Video Metadata & Chapter Extractor in the Apify Store.
Questions people ask
Which agents can use this skill?
Any agent that reads Agent Skills folders: Claude Code, Codex, Cursor, Gemini CLI and the other agents the skills CLI installs into. The skill is a SKILL.md file plus a small Node script, so an agent without skill support can still follow the file by hand.
Does the skill cost anything?
The skill is free. Running it starts the YouTube Video Metadata & Chapter Extractor Actor on your own Apify account, which bills the run at the Actor's Store price; the Apify Free plan includes $5 of usage a month.
What does npx skills add install?
The whole folder: SKILL.md, scripts/run.mjs and the three reference files, downloaded from this site and checked against the SHA-256 digest in scraperfinder.com/.well-known/agent-skills/index.json. Add -g to install it for every project.