This scenario automates the creation of professional, publication-ready movie review articles by combining BrowserAct web scraping with Gemini AI content generation. The workflow begins by reading a list of movies and release years from Google Sheets. Each movie is processed individually through BrowserAct, which collects images from Google Images, gathers movie metadata, and extracts critic reviews from Rotten Tomatoes. All extracted data is returned in a structured JSON format. Gemini then t

This scenario automates the creation of professional, publication-ready movie review articles by combining BrowserAct web scraping with Gemini AI content generation.
The workflow begins by reading a list of movies and release years from Google Sheets. Each movie is processed individually through BrowserAct, which collects images from Google Images, gathers movie metadata, and extracts critic reviews from Rotten Tomatoes. All extracted data is returned in a structured JSON format.
Gemini then transforms the scraped data into a comprehensive HTML article suitable for WordPress or any modern publishing platform. The final output is written back to the sheet so results stay organized and easy to review.
This template is ideal for content creators, bloggers, review sites, and automation builders who want to quickly produce consistent, high-quality movie articles without manual research or writing.
Download the blueprint JSON file after purchase.
Open Make.com → go to Scenarios → click Import Blueprint.
Select the downloaded JSON file and confirm.
Connect your app credentials in each module.
Run once manually to test, then activate the schedule.
Setup guide included
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