Block 1 - When chat message received
- Type / Role
- @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
How it Works Disclaimer: This template is for self hosted n8n instances only. This workflow is designed for developers, data analysts, a...
@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-mcp.mcpclienttool, n8n-nodes-base.emailsend, n8n-nodes-base.set, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Daniel Shashko.
Original n8n.io sourceDisclaimer: This template is for self-hosted n8n instances only.
This workflow is designed for developers, data analysts, and automation enthusiasts seeking to automate personalized news collection and delivery. It seamlessly combines n8n, OpenAI (e.g., GPT-4.1), and Bright Data’s Model Context Protocol (MCP) to collect, extract, and email the latest global news headlines.
On a schedule or via a manual trigger, the workflow prompts an AI agent to gather fresh news. The agent leverages context-aware memory and integrated MCP tools to conduct both search engine queries and direct web page scraping in real time, delivering more than just meta search results—it extracts actual on-page headlines and trusted links. Results are formatted and delivered automatically by email via your SMTP provider, requiring zero manual effort once configured.
n8n-nodes-mcp) for n8n and set up Bright Data MCP access.search_engine) and one for scraping (e.g. scrape_as_markdown).Once configured, this workflow will automatically gather, extract, and email curated news headlines and links—no manual curation required!
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 | Generate a personal newsfeed using Bright Data web scraping and GPT-4.1 |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Personal Productivity, AI RAG |
| Author | Daniel Shashko |
| Published | 21 May 2025 |
Use the JSON export at /data/workflows/4272/4272.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.
How it Works Disclaimer: This template is for self hosted n8n instances only. This workflow is designed for developers, data analysts, 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 RAG use case.