BrowserAct YouTube Publishing Strategy Generator

This end-to-end automation extracts YouTube channel video data, analyzes historical performance, and identifies the optimal publishing time to maximize viral potential.

Using BrowserAct, the workflow dynamically scrapes all videos from a selected channel and stores Title, URL, Views, Likes, and Published Date into Google Sheets. The data is then aggregated and sent to Gemini AI with a structured analytical prompt that examines performance by day of week, hour of day, and minute.

The AI model detects high-performing time windows, negative “dead zones,” and statistically significant publishing patterns. The final insights are automatically written back to a dedicated results sheet, aligned to the correct row, enabling fast review and action.

This template is ideal for creators, content teams, agencies, and analysts who want a repeatable, data-driven method to optimize their YouTube publishing strategy. No manual data pulling, no repetitive analysis—everything runs end-to-end with one click.