YouTube Video Discussion Signal Miner

Check public YouTube video pages for discussion readiness, sentiment hints, viewer pain cues, and deeper comment-research planning.

Why use this actor?

This actor screens public YouTube video pages for discussion and sentiment readiness.

It helps content teams decide whether a specific video is worth deeper comment mining by returning sentiment signals, viewer pain signals, and discussion evidence.

Best for

• Verify video inputs
• Prepare comment-analysis workflows
• Find related discussion signals
• Screen topics for sentiment research

Input

Use videoUrls with focused values that match this actor's purpose. Use YouTube video URLs or video IDs. Video URLs give the most focused evidence.

Good example inputs:

• https://www.youtube.com/watch?v=dQw4w9WgXcQ

For larger YouTube screening, use videos from the same channel or topic cluster so sentiment readiness is comparable.

Output you get

The dataset is intentionally compact and designed around this actor's actual buyer workflow. The most important fields are:

• discussionReadiness
• videoTitle
• sentimentSignals
• viewerPainSignals
• discussionEvidence
• analysisNote

Rows return discussion readiness, sentiment signals, viewer pain signals, and discussion evidence.

Practical workflow

1. Run video URLs or IDs.
2. Review discussion readiness.
3. Check viewer pain and sentiment signals.
4. Use strong rows for deeper browser/API comment collection.

Notes

• Uses public YouTube video pages and related discussion surfaces; it does not require a YouTube login or collect private account data.