Youtube

YouTube

Scripts for working with YouTube against the YouTube Data API v3 (https://www.googleapis.com/youtube/v3/): search and read videos, update or delete videos, like or dislike videos, create and manage playlists and their items, read and post comments, manage subscriptions, and read channel, category, and caption metadata. 22 scripts across video discovery, video and playlist management, community engagement, and the read surfaces an agent needs to resolve ids.

Independent, unofficial connector for YouTube. Not affiliated with, endorsed by, or sponsored by YouTube. "YouTube" is a trademark of its owner, used only to identify the service this connector works with.

When to use this

• An agent needs to find or read video data — search for videos, get a video's full statistics and details, list the videos in a playlist, or read a channel's profile and uploads.
• An agent needs to manage videos — update an existing video's metadata without wiping the fields it didn't touch, like/dislike, or delete a video it owns.
• An agent needs to organize playlists — create, update, or delete playlists, and add or remove videos.
• An agent needs to engage with the community — read comment threads, post a comment, reply to a thread, or subscribe / unsubscribe to channels.

Setup

This is an agentskills.io skill.

If the connector has not been installed as a skill yet, install it first with npx skills add zapier/connectors --skill youtube (or your harness's own skill-install mechanism), then continue here. Installing the skill copies these files, not dependencies. Before running the CLI, a local MCP server, or zapier-sdk auth commands, run npm install --omit=dev here once. Importing the published package as a dependency in your own project instead? That npm install already resolves everything — see references/use-as-sdk.md.

Want the actual repo source instead — to browse references/, run this connector's tests, or hack on it? See README.md for a scoped git clone.

The connector runs on Node.js 22.18+. Pick the reference that matches how you're running it, and load it before doing anything else:

Scripts

All scripts use the single connection youtube.

Disambiguation & refusals

Disambiguation before a write. Before writing against a video, playlist, or channel you looked up by name (e.g. a video from searchVideos, a playlist from listPlaylists, a channel from getChannel/searchVideos), count the exact case-insensitive title matches:

• Exactly one match — act on it. Don't over-ask; a single unambiguous match is the answer.
• Two or more that tie — stop. List the tied candidates with a distinguishing field (channel title, publish date, view count, or the id) and ask the user which one they mean. Titles are not unique on YouTube — many videos and channels share a name — so never pick arbitrarily and never write to all of them.

Mind the id traps. removeVideoFromPlaylist takes the playlistItem id from listPlaylistItems, not the video id. unsubscribeFromChannel takes the subscription id from listSubscriptions, not the channel id. Passing the wrong id is the most common failure; resolve via the listed script first.

Unsupported operations — say so and stop; don't fake it with another script. This catalog deliberately does not:

• Report analytics (views-over-time, watch-time, revenue, demographics). There is no analytics script. Don't substitute a video's lifetime statistics counts and present them as an analytics report.
• Moderate comments (edit, delete, hide, mark as spam, or set moderation status) — only reading, posting, and replying are supported. Replies are single-level: you cannot reply to a reply.
• Live-stream (create or manage broadcasts/streams) or upload/replace captions — captions are read-only here (list + download).
• Upload videos or set custom thumbnails — there is no uploadVideo or setVideoThumbnail script. These require binary media uploads, which the connection transport does not support.
• Administer a channel (edit channel branding, sections, or settings).

If asked for any of these, tell the user it's unsupported and stop — don't reach for an unrelated script to approximate it.

Auth

Every shape passes auth as one connection selector, not the secret — a [<resolver>:]<value> string. Every connector accepts zapier:<connection-id> (Zapier-managed auth — routes through Zapier's auth, retries, and governance layer); some also accept one or more direct-token resolvers (naming and count vary per connector) — check this connector's own resolvers rather than assuming. The <resolver>: prefix is optional; a bare value goes to the first resolver that claims it — a UUID-shaped bare value always claims zapier:. Each script declares the connections it needs and the resolvers each accepts. The exact syntax for passing a connection (and how to see this connector's resolver list) differs by shape — see the reference you loaded above.

Checking what's already configured first? Don't dump environment values to do it — env or env | grep <name> prints the value along with the name, leaking a live credential into the transcript if one is set. Check names only (env | cut -d= -f1 | grep -i <name>) or test a known name directly ([ -n "$VAR_NAME" ]).

No connection yet? Pick one — and follow the reference's own flow to obtain it; never just ask the user for a connection id or token as if they already have one memorized:

Output format

Every script returns a { data, meta } envelope:

• data — the script's result (the shape its outputSchema declares; see the reference you loaded above for how to inspect a script's exact schema in your shape).
• meta.outputDataValidation — what validating data did:
  • { skipped: false, droppedPaths: null } — validated, nothing removed.
  • { skipped: false, droppedPaths: [...], instruction } — validated, but those paths were stripped from data: fields the script returned from the API that the outputSchema doesn't declare. If you need them, re-run with output validation skipped.
  • { skipped: true } — validation was bypassed; data is the raw, unchecked script output.

Reading dropped fields / skipOutputDataValidation. To receive the raw, unvalidated result, opt out of output validation (the exact syntax differs by shape — see the reference you loaded above). Input validation is never skipped.

Trimming the result / filterOutputData. To shrink a large result down to the fields you need, pass a jq expression that post-processes data (again, exact syntax per shape). The jq runs against data only, NOT the { data, meta } envelope, so write it rooted at data (run the script's --help — or your shape's equivalent — to see its output schema). The transformed value replaces data, meta is preserved, and the result is NOT re-validated against the output schema.

References

Load the matching reference file before working in that area: