AI data extraction and parsing
This template provides a fully automated workflow for collecting news from Flipboard and saving it into Google Sheets. The process starts with BrowserAct, which opens the Flipboard page, scrolls through the content, and extracts each article’s title, summary, reference link, and image. The raw output is then parsed through a JSON module to convert the data into a clean, structured format. Next, the workflow creates a new sheet named with the completion timestamp, ensuring each run is organized and easy to track. All extracted articles are added into Google Sheets, with each row containing the full set of article details. Finally, the workflow sends a Slack message to confirm that the job has finished successfully. This helps you monitor automation runs without checking Make manually. This template is designed for non-technical users and requires no coding. Once configured, it can run on demand or be scheduled to fetch new Flipboard content automatically.
This template provides a fully automated YouTube Channel Optimization workflow. Simply enter any YouTube channel link, and the system will run a complete end-to-end analysis. How it works: BrowserAct Simulation BrowserAct visits the channel like a real user, expands descriptions, opens the Videos tab, and enters each video page. It collects channel info, thumbnails, video details, and user comments. Data Processing with Gemini All extracted JSON data is sent to Gemini with a strict system prompt. Gemini analyzes patterns across videos and comments, identifies recurring problems, highlights strengths, and generates clear, actionable recommendations. Structured Output to Google Sheets The final insights are converted into a clean JSON array, split into individual rows, and written into Google Sheets. Each row includes: Problem title Detailed analysis Suggested improvements What you get: A ready-to-use optimization report that helps you understand your channel’s weaknesses, viewer feedback trends, and specific steps to improve engagement and content performance.
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