(5/5)

Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent

Automated workflow: Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent. This workflow integrates 12 different services: stickyNote, httpRequest, lmChatGoogleGemini, agent, mcpClientTool. It contains 25 nodes and follows best practices for error handling and security.

Integrations Used (4)

N8n Nodes Mcp.mcpclient

N8n Nodes Mcp.mcpclienttool

HTTP Request

Readwritefile

Workflow Structure (15 nodes)

100%

Manual Trigger

When clicking ‘Test workflow’

Mcp.mcp Client

MCP Client list all tools for Bright Data

Set

Set the URLs

Mcp.mcp Client

MCP Client Bright Data Web Scraper

Function

Create a binary data

Http Request

Webhook for web scraper

Read Write File

Write the scraped content to disk

No Op

Google Gemini Chat Model for AI Agent

Set

Set the URL with the Webhook URL and data format

No Op

Simple Memory

No Op

AI Agent

Mcp.mcp Client Tool

MCP Client to Scrape as Markdown

Mcp.mcp Client Tool

MCP Client to Scrape as HTML

Http Request

Webhook for Web Scraper AI Agent

Mcp.mcp Client Tool

MCP Client List all tools

Node Types:

default

trigger

http

transform

code

Requires credentials

Prerequisites

Required Credentials (2)

Google Palm

Used by: Google Gemini Chat Model for AI Agent

Docs

Mcp Client

Used by: MCP Client list all tools for Bright Data, MCP Client List all tools +3 more

Docs

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~35 min

Score: 55/100

Custom Code

4 Integrations

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "U6cY7PPR0vaRl1I0",
  "meta": {
    "instanceId": "workflow-b0a762a0",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:50.113632",
    "updatedAt": "2025-09-29T07:07:50.113654",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...