Use TubeField to create a workflow to track YouTube channels

You can store the results TubeField provides, compare them and trigger the specific action you need for your workflows.

TubeField is the data layer for your app to fetch:

• Channel details
• Latest uploads
• Channel playlists
• Video details

Check out all 12 endpoints.

What can you track?

A channel tracking workflow can check:

• Public subscriber count.
• Public view count.
• Public video count.
• Latest uploads.
• New video titles.
• Publish dates.
• Playlist changes.
• Public video metadata.

Depending on your product, you might also enrich new uploads with transcripts or comments.

Who needs this?

Creators

Creators may want to watch other channels in their niche.

A workflow can show:

• What competitors published this week.
• Which topics are appearing repeatedly.
• How often a channel uploads.
• Which titles or formats are common.

Agencies

Agencies may track client channels or creator partners.

They might build:

• Weekly reporting.
• New upload checks.
• Creator databases.
• Campaign monitoring dashboards.

Researchers

Researchers may need public channel snapshots for a media study.

They might track:

• Upload cadence.
• Topic changes.
• Public channel growth.
• Playlist organization.
• Video metadata over time.

Internal teams

A company may want to track YouTube mentions, tutorials, reviews or partner content.TubeField can support the data collection layer while your system handles scheduling and reporting.

Simple architecture

A basic channel tracking workflow looks like this:

1. Store the channels you care about.
2. Run a scheduled job every hour, day or week.
3. Call channel detail.
4. Call channel videos.
5. Store the response.
6. Compare with the previous snapshot.
7. Trigger your app logic if something changed.

That app logic could be:

• Send a Slack alert.
• Update a dashboard.
• Create a database record.
• Start a transcript workflow.
• Generate a weekly report.

Enriching new uploads

The useful part starts when a new upload appears. When your workflow detects a new video, it can call:

• Video detail for metadata and stats.
• Video transcript for content analysis.
• Video comments for early audience feedback.

This turns a basic channel checker into a research workflow.

Example: creator research report

A creator research product could:

1. Track 50 channels in a niche.
2. Detect new uploads.
3. Pull video details and transcripts.
4. Summarize topics.
5. Group titles by format.
6. Show trends in a weekly report.

TubeField provides the YouTube data. Your app creates the report.

Example: education content library

An education platform could:

1. Track selected educational channels.
2. Pull new uploads.
3. Fetch transcripts.
4. Tag videos by topic.
5. Add useful videos to a review queue.

REST or MCP?

Use REST for channel tracking. Tracking is usually scheduled and deterministic. You know which channels to check, how often to check them and where to store the data. MCP is useful for ad hoc research, but REST is better suited for automated tracking.

Build channel tracking on top of public YouTube data. Get a free TubeField key.