BrowserAct Movie Metadata & Critics Extractor
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.
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.
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How to import this workflow into Make
- 1Purchase or download the workflow to get the Make blueprint JSON file.
- 2In Make, create a new scenario, click the three-dots menu, and choose "Import Blueprint".
- 3Reconnect each module to your own app connections when prompted.
- 4Run the scenario once to verify it, then set your schedule and turn it on.
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