BrowserAct Movie Metadata & Critics Extractor
BrowserAct Movie Metadata & Critics Extractor
Apps used in template
About
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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Create custom workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Creates a new conditional format rule at the given index. All subsequent rules' indexes are incremented.
Appends a new row to the bottom of the table.
Adds a new sheet.
Appends multiple rows to the bottom of the table.
Updates multiple rows.
Clears a specified range of values from a spreadsheet.
Clears a specific cell.
Clears values from a specific row.
Copies a sheet to another spreadsheet.
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