Block 1 - When clicking ‘Execute workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Browsing History Automation Analyzer – Automation Toolkit (Google Sheets + AI) This n8n workflow analyzes your browsing history to identify opportunities for automation. It reads history from a ...
n8n-nodes-base.manualtrigger, n8n-nodes-base.googlesheets, n8n-nodes-base.filter, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.memorybufferwindow
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Msaid Mohamed el hadi.
Original n8n.io sourceThis n8n workflow analyzes your browsing history to identify opportunities for automation. It reads history from a Google Sheet, groups visits by domain, filters out irrelevant entries, and uses AI to recommend what can be automated — including how and why.
Input + output are handled via the following Google Sheet:
📎 Spreadsheet:
View on Google Sheets
history → Input browsing historyautomations → Output AI automation suggestionsThe AI agent receives each domain's browsing history and responds with:
domain: The website domainautomatable: true/falsewhat_to_automate: Specific actions that can be automatedreason: Why it's suitable (or not) for automationtool: Suggested automation tool (e.g., n8n, Apify)automation_rating: High, Medium, Low, or Not Automatablen8n_template: Relevant automation template (if found)| Tool | Purpose |
|---|---|
| n8n | Workflow automation |
| LangChain AI Agent | AI-based analysis |
| Google Sheets Node | Input/output data handling |
| OpenRouter (LLM) | Language model for intelligent reasoning |
| JavaScript Code Node | Grouping and formatting logic |
| Filter Node | Remove unwanted domains |
| HTTP Request Node | Search n8n.io templates |
You can use this Chrome extension to export your browsing history in a format compatible with the workflow:
🔗 Export Chrome History Extension
If you'd like personalized automation recommendations based on your browsing history—just like what this workflow provides—feel free to contact me directly:
I'll help you discover what tasks you can automate to save time and boost productivity.
This workflow is provided as-is for educational and personal use. For commercial or customized use, contact the author.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Analyze browsing history and generate automation suggestions with OpenRouter AI and Google Sheets |
|---|---|
| Complexity | intermediate |
| Nodes | 12 |
| Categories | Personal Productivity, AI Summarization |
| Author | Msaid Mohamed el hadi |
| Published | 25 Jul 2025 |
Use the JSON export at /data/workflows/6438/6438.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Browsing History Automation Analyzer – Automation Toolkit (Google Sheets + AI) This n8n workflow analyzes your browsing history to identify opportunities for automation. It reads history from a ...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Summarization use case.