Reverse-engineer a creator's style: an AI persona and style guide from their latest videos

Description and use

The author uses Apify Video Breakdown AI to analyze a channel’s latest Shorts and produce a persona, style guide, and statistical summary in a single API call.

Problem

Creators need a quick, data-driven way to capture a channel’s recurring style elements without manually watching dozens of videos.

Outcome

The Actor returns a concise summary of a channel’s style, including medians for video length, cuts, shots, view counts, content pillars, hook types, CTAs, and a persona with style rules, all from one API call.

Workflow

• 1. Build a JSON payload with the channel URL, maxVideosPerSource, and accountSummary:true.
• 2. POST to https://api.apify.com/v2/acts/tubetext~video-breakdown-ai/run-sync-get-dataset-items with the payload.
• 3. Receive a dataset containing per-video rows and one account_summary row.
• 4. Inspect the summary row for medians and content pillars, hook patterns, and style rules.
• 5. Optionally compare hook shares across competitors by running the same call on their channels.

Evidence

One call: a channel in, a style guide out

Source

The Actor takes the 5 newest Shorts, breaks each one down (hook, shot list, cut pacing, products shown, script), then condenses them into one extra row with "rowType": "account_summary".

Source

Each of the 5 videos also gets its own row, so you can check the summary against the evidence.

Source

Each video is $0.03 at Apify free-plan prices, plus $0.01 per minute past 3 minutes.

Source