BrowserAct Automated Content Translator

A Make.com Workflow for Automated Content Translation

BrowserAct Automated Content Translator is a Make.com–orchestrated automation that enables teams to automatically extract, reconstruct, and translate technical articles at scale. By combining spreadsheet-driven task management, BrowserAct-powered content extraction, and AI-based editing and translation, this workflow transforms raw web content into structured, multilingual outputs with no manual intervention.

Instead of manually opening articles, copying text, fixing formatting, handling code blocks, and translating content line by line, this workflow automates the entire content translation pipeline inside Make—saving time while ensuring consistency, technical accuracy, and scalability.

What Does BrowserAct Automated Content Translator Do?

BrowserAct Automated Content Translator helps developers, technical writers, content teams, and localization managers automatically convert technical articles into high-quality translated content—without repetitive manual work.

Technical articles often include complex structures such as headers, lists, and code blocks. Manually extracting, cleaning, formatting, and translating this content is slow, error-prone, and difficult to scale.

This workflow replaces that process with an end-to-end automation orchestrated entirely inside Make. It coordinates task intake from Google Sheets, BrowserAct-based content extraction, AI-powered article reconstruction, automated translation, and structured result storage—allowing users to process large volumes of technical content reliably and efficiently.

The workflow starts when a source URL is provided in Google Sheets. Make then orchestrates content extraction, AI-driven editing, translation, and result updates in a single automated pipeline.

Key Features of BrowserAct Automated Content Translator

• Spreadsheet-Driven Automation
  Uses Google Sheets as a task queue to manage and batch-process content translation jobs.
• Automated Content Extraction
  Triggers BrowserAct to visit article pages and extract titles, body content, headers, and code blocks.
• AI-Based Article Reconstruction
  Uses AI to rebuild semi-structured extracted data into clean, well-formatted Markdown articles.
• Code-Safe Translation
  Preserves all code blocks, file names, and technical terminology during translation.
• Multi-Step AI Orchestration
  Supports chaining multiple AI nodes (e.g. content editing + translation) inside Make.
• Structured Parsing & Storage
  Writes translated content back to the original Google Sheets row for traceable results.
• Make-Orchestrated Execution
  All iteration, filtering, AI calls, and data updates are managed inside Make for stability and scalability.

What Data Can You Extract and Translate?

With BrowserAct Automated Content Translator, you can process publicly available technical article content directly from web pages.

Article Content Data

• Article titles
• Section headers
• Full article body text
• Code blocks and examples
• Lists and technical explanations
• Source article URLs

How to Use BrowserAct Automated Content Translator in One Click

Using BrowserAct Automated Content Translator requires no manual setup or technical configuration.

Simply add article URLs to a Google Sheets file connected to Make. The workflow automatically processes each row—running content extraction, article reconstruction, translation, and result storage in the background. No manual browsing, copying, formatting, or translating is required.

Why Automate Content Translation?

Technical content translation requires accuracy, formatting consistency, and careful handling of code and terminology. Manual workflows are inefficient and hard to scale.

Automating content translation allows teams to:

• Translate technical content faster and at scale
• Maintain consistent formatting and structure
• Preserve code integrity and technical accuracy
• Reduce human error and manual workload
• Build repeatable, multilingual content pipelines

Input & Output

Input

• Article URL (provided via Google Sheets)

Output

• A structured Google Sheets record containing:
• • Reconstructed Markdown article
  • Fully translated content
  • Preserved code blocks and technical terms

Who Is BrowserAct Automated Content Translator For?

BrowserAct Automated Content Translator is ideal for:

• Developers and engineering teams
• Technical writers and documentation teams
• SaaS content and localization teams
• Agencies managing multilingual technical content
• Teams building automated content pipelines with Make

Working Principle (How It Works)

1. Trigger (Google Sheets)
   The workflow starts when Make detects new or filtered rows containing article URLs.
2. Iteration & Flow Control (Make)
   Make processes each URL individually to ensure stable and scalable execution.
3. Content Extraction (BrowserAct)
   BrowserAct visits the article page and extracts structured content as JSON.
4. Article Reconstruction (AI)
   AI converts the extracted data into a clean, fully formatted Markdown article.
5. Automated Translation (AI / Translation Service)
   The reconstructed article is translated into the target language while preserving technical accuracy.
6. Result Storage (Google Sheets)
   Make updates the original spreadsheet row with the translated content, completing the automation loop.