BrowserAct YouTube Channel Analyzer

A Make.com Workflow for Automated YouTube Channel Analysis

BrowserAct YouTube Channel Analyzer is a Make.com–based automation that helps creators and growth teams systematically analyze YouTube channels by automatically collecting channel data, video content, and audience feedback, then transforming them into structured optimization insights.

Instead of manually opening channels, browsing video lists, expanding descriptions, and reading large volumes of comments, this workflow automates the entire analysis process inside Make—saving time while revealing patterns that are difficult to identify manually.

What Does BrowserAct YouTube Channel Analyzer Do?

BrowserAct YouTube Channel Analyzer helps creators, marketers, and content strategists automatically audit YouTube channels and uncover actionable optimization opportunities—without repetitive manual browsing.

When analyzing a YouTube channel, understanding content structure, thumbnail styles, video descriptions, and recurring audience feedback is critical. However, manually reviewing dozens of videos and comments is slow, inconsistent, and hard to scale.

This workflow replaces that process with an end-to-end automation orchestrated entirely inside Make. It coordinates automated YouTube navigation, structured data extraction, AI-powered analysis, and final insight delivery—allowing users to quickly understand what is working, what is not, and what should be improved.

The workflow starts when a user provides a YouTube channel homepage link. Make then orchestrates BrowserAct-based channel exploration, video-level data collection, AI-driven insight generation, and structured result storage.

Key Features of BrowserAct YouTube Channel Analyzer

• Channel-Level Automation
  Automatically visits the YouTube channel homepage and expands the full channel description for analysis.
• Video List Discovery & Iteration
  Navigates to the channel’s Videos tab and iterates through individual videos for detailed inspection.
• Description & Comment Expansion
  Expands video descriptions and scrolls pages to load audience comments and feedback.
• Audience Feedback Analysis
  Collects public comments and reviews to identify recurring complaints, strengths, and sentiment patterns.
• AI-Powered Insight Generation
  Uses AI to holistically analyze channel data, video metadata, and audience feedback to produce structured insights.
• Structured Parsing & Storage
  Splits AI-generated insights into structured records and saves them directly into Google Sheets.
• Make-Orchestrated Execution
  Entire workflow logic—iteration, filtering, AI calls, and storage—is managed inside Make for stability and scalability.
• Fully No-Code Automation
  Built entirely with Make and BrowserAct—no scripts or custom code required.

What Data Can You Scrape from YouTube?

With BrowserAct YouTube Channel Analyzer, you can collect a range of publicly available data directly from YouTube channel and video pages. The workflow focuses on content structure and audience feedback analysis.

YouTube Channel & Video Data

• Channel description and metadata
• Video titles
• Video thumbnail URLs
• Video page URLs
• Expanded video descriptions
• Public audience comments / reviews

How to Use BrowserAct YouTube Channel Analyzer in One Click

Using BrowserAct YouTube Channel Analyzer requires no manual setup or technical configuration.

Simply provide a YouTube channel homepage URL as input in Make. The workflow automatically runs channel discovery, video iteration, data extraction, AI analysis, and result storage in the background—no manual browsing, copying, or note-taking required.

Why Analyze YouTube Channels Automatically?

YouTube channel performance is heavily influenced by content structure, thumbnail consistency, description clarity, and audience feedback patterns. Manually reviewing these signals across multiple videos is inefficient and error-prone.

Automating channel analysis allows creators and teams to:

• Identify recurring content issues faster
• Understand audience pain points at scale
• Optimize thumbnails, descriptions, and content formats
• Make data-driven decisions instead of relying on intuition

Input & Output

Input

• YouTube channel homepage URL

Output

• A structured Google Sheets report containing:
• • Problem title
  • Problem analysis
  • Actionable recommendation

Who Is BrowserAct YouTube Channel Analyzer For?

BrowserAct YouTube Channel Analyzer is ideal for:

• YouTubers and video creators
• Channel managers and content strategists
• Marketing and growth teams
• Consultants performing YouTube channel audits

Working Principle (How it works)

1. Trigger (Telegram)
   The workflow starts when a user sends a product name or product description via Telegram.
2. Intent Gating (AI)
   AI checks whether the user input indicates digital product research or review intent.
3. 1. If the intent is unclear, the system asks the user to provide clearer product information.
3. Search Query Generation (AI)
   AI converts the user message into a focused and effective Google search query
   (e.g., “GURU Web App reviews”).
4. Review Collection (BrowserAct)
   BrowserAct runs a customer feedback opinion-mining workflow using the generated search query.
   It searches multiple public review pages and returns aggregated review data as structured JSON.
5. Insight Synthesis (AI)
   AI analyzes the collected review data and generates a structured, Telegram-ready insight report containing:
6. 1. Product summary
   2. Pros & cons (bullet points)
   3. Final recommendation