Block 1 - AI Agent
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 1.8
This workflow is provided as-is. Please review and test before using in production.
Disclaimer This template is only available on n8n self hosted as it's making use of the community node for MCP Client. Who this is fo...
@n8n/n8n-nodes-langchain.agent, n8n-nodes-base.manualtrigger, n8n-nodes-mcp.mcpclient, n8n-nodes-base.stickynote, n8n-nodes-mcp.mcpclienttool, n8n-nodes-base.httprequest, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmchatgooglegemini
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ranjan Dailata.
Original n8n.io sourceThis template is only available on n8n self-hosted as it's making use of the community node for MCP Client.
The Scrape Web Data with Bright Data and MCP Automated AI Agent workflow is built for professionals who need to automate large-scale, intelligent data extraction by utilizing the Bright Data MCP Server and Google Gemini.
This solution is ideal for:
Data Analysts - Who require structured, enriched datasets for analysis and reporting.
Marketing Researchers - Seeking fresh market intelligence from dynamic web sources.
Product Managers - Who want competitive product and feature insights from various websites.
AI Developers - Aiming to feed web data into downstream machine learning models.
Growth Hackers - Looking for high-quality data to fuel campaigns, research, or strategic targeting.
Manually scraping websites, cleaning raw HTML data, and generating useful insights from it can be slow, error-prone, and non-scalable.
This workflow solves these problems by:
Automating complex web data extraction through Bright Data’s MCP Server.
Reducing the human effort needed for cleaning, parsing, and analyzing unstructured web content.
Allowing seamless integration into further automation processes.
This n8n workflow performs the following steps:
Trigger: Start manually.
Input URL(s): Specify the URL to perform the web scrapping.
Web Scraping (Bright Data): Use Bright Data’s MCP Server tools to accomplish the web data scrapping with markdown and html format.
Store / Output: Save results into disk and also performs a Webhook notification.
Make sure to copy the Bright Data API_TOKEN within the Environments textbox above as API_TOKEN=<your-token>. 8. Update the LinkedIn URL person and company workflow. 9. Update the Webhook HTTP Request node with the Webhook endpoint of your choice. 10. Update the file name and path to persist on disk.
Different Inputs: Instead of static URLs, accept URLs dynamically via webhook or form submissions.
Outputs: Update the Webhook endpoints to send the response to Slack channels, Airtable, Notion, CRM systems, etc.
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 | Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent |
|---|---|
| Complexity | advanced |
| Nodes | 19 |
| Categories | Market Research, AI Summarization |
| Author | Ranjan Dailata |
| Published | 28 Apr 2025 |
Use the JSON export at /data/workflows/3778/3778.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.
Disclaimer This template is only available on n8n self hosted as it's making use of the community node for MCP Client. Who this is fo...
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 Market Research, AI Summarization use case.