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

19 nodes · agent, manual, mcpClient, mcpClientTool, httpRequest, lmChatGoogleGemini

Engine
n8n
Nodes
19
Trigger
scheduled/triggered
Source file
1707_Manual_Stickynote_Automate_Webhook.json

Workflow flow

IntegrationsAgentManualMcpClientMcpClientToolHTTPLmChatGoogleGeminiMemoryBufferWindowReadWriteFile@n8n/n8n-nodes-langchain.agentN8n-nodes-mcp.mcpClientN8n-nodes-mcp.mcpClientToolSet+3 more
100%
TRIGGER

When clicking ‘Test workflow’

Manual

MCP Client List all tools

N8n-nodes-mcp.mcpClientTool

MCP Client to Scrape as Markdown

N8n-nodes-mcp.mcpClientTool

MCP Client to Scrape as HTML

N8n-nodes-mcp.mcpClientTool

Google Gemini Chat Model for AI Agent

@n8n/n8n-nodes-langchain.lmChatGoogleGemini

Simple Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

MCP Client list all tools for Bright Data

N8n-nodes-mcp.mcpClient

Set the URL with the Webhook URL and data format

Set

AI Agent

@n8n/n8n-nodes-langchain.agent

Set the URLs

Set

MCP Client Bright Data Web Scraper

N8n-nodes-mcp.mcpClient

Webhook for Web Scraper AI Agent

HTTP

Create a binary data

Function

Webhook for web scraper

HTTP

Write the scraped content to disk

ReadWriteFile

15 steps · flows top to bottom, branches left to right

Browse by integration

agentmanualmcpClientmcpClientToolhttpRequestlmChatGoogleGeminimemoryBufferWindowreadWriteFile
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent (19-node n8n automation, agent, manual, mcpClient, mcpClientTool, httpRequest, lmChatGoogleGemini, memoryBufferWindow, readWriteFile) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

Built in n8n, "Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent" chains 19 nodes to move data between agent, manual, mcpClient, mcpClientTool, httpRequest, lmChatGoogleGemini, memoryBufferWindow, readWriteFile. 19 nodes · agent, manual, mcpClient, mcpClientTool, httpRequest, lmChatGoogleGemini It starts from a scheduled/triggered trigger and routes data through every node in order. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Fork it to add error handling, retries, or a notification step without designing the 19-node flow from scratch.
  • Benchmark it against your current agent integration to spot missing steps or redundant nodes.
  • Study how data moves from agent to manual before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the agent stack.

Example output

Imported into n8n, "Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent" exposes 19 configured nodes. Trigger type: scheduled/triggered. Integrations: agent, manual, mcpClient, mcpClientTool, httpRequest, lmChatGoogleGemini, memoryBufferWindow, readWriteFile. Set your credentials on the agent node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent" JSON into a plain-English runbook, node by node. It can flag where agent rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for agent, manual, mcpClient, mcpClientTool, httpRequest, lmChatGoogleGemini, memoryBufferWindow, readWriteFile. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent" — extract agent IDs and secrets into environment variables without changing the 19-node structure.

Frequently asked questions

How do I import "Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent" use?
It uses: agent, manual, mcpClient, mcpClientTool, httpRequest, lmChatGoogleGemini, memoryBufferWindow, readWriteFile. The flow diagram above shows how each service connects across the 19 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own agent and manual credentials in n8n after import.
What trigger type does "Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for agent, manual, mcpClient, mcpClientTool, httpRequest, lmChatGoogleGemini, memoryBufferWindow, readWriteFile.

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