{
  "workflow": {
    "id": 3778,
    "name": "Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent",
    "views": 3872,
    "recentViews": 1,
    "totalViews": 3872,
    "createdAt": "2025-04-28T23:06:34.655Z",
    "description": "### Disclaimer\nThis template is only available on n8n self-hosted as it's making use of the community node for MCP Client.\n\n![Scrape Web Data with Bright Data  MCP Client.png](fileId:1219)\n### Who this is for?\n\nThe 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.\n\nThis solution is ideal for:\n\n1. **Data Analysts** - Who require structured, enriched datasets for analysis and reporting.\n\n2. **Marketing Researchers** - Seeking fresh market intelligence from dynamic web sources.\n\n3. **Product Managers** - Who want competitive product and feature insights from various websites.\n\n4. **AI Developers** - Aiming to feed web data into downstream machine learning models.\n\n5. **Growth Hackers** - Looking for high-quality data to fuel campaigns, research, or strategic targeting.\n\n### What problem is this workflow solving?\n\nManually scraping websites, cleaning raw HTML data, and generating useful insights from it can be slow, error-prone, and non-scalable.\n\nThis workflow solves these problems by:\n\n1. Automating complex web data extraction through Bright Data’s MCP Server.\n\n2. Reducing the human effort needed for cleaning, parsing, and analyzing unstructured web content.\n\n3. Allowing seamless integration into further automation processes.\n\n### What this workflow does?\n\nThis n8n workflow performs the following steps:\n\n1. **Trigger**: Start manually.\n\n2. **Input URL(s)**: Specify the URL to perform the web scrapping.\n\n3. **Web Scraping (Bright Data)**: Use Bright Data’s MCP Server tools to accomplish the web data scrapping with markdown and html format.\n\n4. **Store / Output**: Save results into disk and also performs a Webhook notification.\n\n### Setup\n1. Please make sure to setup n8n locally with MCP Servers by navigating to [n8n-nodes-mcp](https://www.youtube.com/watch?v=NUb73ErUCsA)\n2. Please make sure to install the Bright Data MCP Server [@brightdata/mcp](https://www.npmjs.com/package/@brightdata/mcp)  on your local machine.\n3. Sign up at [Bright Data](https://brightdata.com/).\n4. Create a Web Unlocker proxy zone called mcp_unlocker on Bright Data control panel.\n5. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.\n6. In n8n, configure the Google Gemini(PaLM) Api account with the Google Gemini API key (or access through Vertex AI or proxy).\n7. In n8n, configure the credentials to connect with MCP Client (STDIO) account with the Bright Data MCP Server as shown below.\n\n![MCPClientAccount.png](fileId:1218)\n\nMake sure to copy the Bright Data API_TOKEN within the Environments textbox above as API_TOKEN=&lt;your-token&gt;.\n8. Update the LinkedIn URL person and company workflow.\n9. Update the Webhook HTTP Request node with the Webhook endpoint of your choice.\n10. Update the file name and path to persist on disk.\n\n### How to customize this workflow to your needs\n1. **Different Inputs**: Instead of static URLs, accept URLs dynamically via webhook or form submissions.\n\n2. **Outputs**: Update the Webhook endpoints to send the response to Slack channels, Airtable, Notion, CRM systems, etc.",
    "workflow": {
      "id": "U6cY7PPR0vaRl1I0",
      "meta": {
        "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
        "templateCredsSetupCompleted": true
      },
      "name": "Scrape Web Data with Bright Data, Google Gemini and MCP Automated AI Agent",
      "tags": [
        {
          "id": "ZOwtAMLepQaGW76t",
          "name": "Building Blocks",
          "createdAt": "2025-04-13T15:23:40.462Z",
          "updatedAt": "2025-04-13T15:23:40.462Z"
        },
        {
          "id": "ddPkw7Hg5dZhQu2w",
          "name": "AI",
          "createdAt": "2025-04-13T05:38:08.053Z",
          "updatedAt": "2025-04-13T05:38:08.053Z"
        }
      ],
      "nodes": [
        {
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          "name": "AI Agent",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "notes": "Bright Data Web Scraping Agent",
          "position": [
            -140,
            60
          ],
          "parameters": {
            "text": "=Scrape the web data as per the provided URL:  {{ $json.url }} using the format as {{ $json.format }}",
            "options": {
              "systemMessage": "=You are a helpful assistant."
            },
            "promptType": "define"
          },
          "notesInFlow": true,
          "typeVersion": 1.8
        },
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          "type": "n8n-nodes-base.manualTrigger",
          "position": [
            -640,
            -300
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
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          "name": "MCP Client list all tools for Bright Data",
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            -380,
            -300
          ],
          "parameters": {},
          "credentials": {
            "mcpClientApi": {
              "id": "credential-id",
              "name": "mcpClientApi Credential"
            }
          },
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        },
        {
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          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -220,
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          ],
          "parameters": {
            "color": 3,
            "width": 440,
            "height": 320,
            "content": "## Bright Data Web Scraper"
          },
          "typeVersion": 1
        },
        {
          "id": "222e81cf-878e-42de-a325-6b6659145f98",
          "name": "MCP Client List all tools",
          "type": "n8n-nodes-mcp.mcpClientTool",
          "position": [
            440,
            420
          ],
          "parameters": {},
          "credentials": {
            "mcpClientApi": {
              "id": "credential-id",
              "name": "mcpClientApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "a10dfd4f-cadf-4952-8449-1865406358d4",
          "name": "MCP Client Bright Data Web Scraper",
          "type": "n8n-nodes-mcp.mcpClient",
          "notes": "Scrape a single webpage URL with advanced options for content extraction and get back the results in MarkDown language.",
          "position": [
            60,
            -300
          ],
          "parameters": {
            "toolName": "=scrape_as_markdown",
            "operation": "executeTool",
            "toolParameters": "={\n   \"url\": \"{{ $json.url }}\"\n} "
          },
          "credentials": {
            "mcpClientApi": {
              "id": "credential-id",
              "name": "mcpClientApi Credential"
            }
          },
          "notesInFlow": true,
          "typeVersion": 1
        },
        {
          "id": "0acbd4ff-ce4a-4ff2-b213-2d80dd91e302",
          "name": "Webhook for web scraper",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            280,
            -300
          ],
          "parameters": {
            "url": "=https://webhook.site/daf9d591-a130-4010-b1d3-0c66f8fcf467",
            "options": {},
            "sendBody": true,
            "bodyParameters": {
              "parameters": [
                {
                  "name": "response",
                  "value": "={{ $json.result.content[0].text }}"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "009ac29f-8cad-4b58-9ca4-e75470a52dcc",
          "name": "Set the URLs",
          "type": "n8n-nodes-base.set",
          "position": [
            -160,
            -300
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "214e61a0-3587-453f-baf5-eac013990857",
                  "name": "url",
                  "type": "string",
                  "value": "https://about.google/"
                },
                {
                  "id": "45014942-0a2e-4f46-b395-f82f97bfa93e",
                  "name": "webhook_url",
                  "type": "string",
                  "value": "https://webhook.site/ce41e056-c097-48c8-a096-9b876d3abbf7"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "104706dd-ae58-47fd-8fea-cefa986ae40c",
          "name": "MCP Client to Scrape as Markdown",
          "type": "n8n-nodes-mcp.mcpClientTool",
          "notes": "Scrape a single webpage URL with advanced options for content extraction and get back the results in MarkDown language.",
          "position": [
            -60,
            400
          ],
          "parameters": {
            "toolName": "scrape_as_markdown",
            "operation": "executeTool",
            "toolParameters": "={\n  \"url\": \"{{ $json.url }}\"\n} ",
            "descriptionType": "manual",
            "toolDescription": "Scrape a single webpage URL with advanced options for content extraction and get back the results in MarkDown language."
          },
          "credentials": {
            "mcpClientApi": {
              "id": "credential-id",
              "name": "mcpClientApi Credential"
            }
          },
          "notesInFlow": false,
          "typeVersion": 1
        },
        {
          "id": "c03c655e-45c8-4278-a01f-ba48282459c5",
          "name": "MCP Client to Scrape as HTML",
          "type": "n8n-nodes-mcp.mcpClientTool",
          "notes": "Scrape a single webpage URL with advanced options for content extraction and get back the results in HTML.",
          "position": [
            200,
            400
          ],
          "parameters": {
            "toolName": "scrape_as_html",
            "operation": "executeTool",
            "toolParameters": "{\n  \"url\": \"{{ $json.url }}\"\n} ",
            "descriptionType": "manual",
            "toolDescription": "Scrape a single webpage URL with advanced options for content extraction and get back the results in HTML."
          },
          "credentials": {
            "mcpClientApi": {
              "id": "credential-id",
              "name": "mcpClientApi Credential"
            }
          },
          "notesInFlow": true,
          "typeVersion": 1
        },
        {
          "id": "587300ff-44e5-4ff2-9dee-a4f8720ca26b",
          "name": "Google Gemini Chat Model for AI Agent",
          "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
          "position": [
            -520,
            400
          ],
          "parameters": {
            "options": {},
            "modelName": "models/gemini-2.0-flash-exp"
          },
          "credentials": {
            "googlePalmApi": {
              "id": "credential-id",
              "name": "googlePalmApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "38ba13a1-f8f7-48ce-a05d-2c2526de606d",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -140,
            340
          ],
          "parameters": {
            "color": 4,
            "width": 480,
            "height": 260,
            "content": "## Bright Data Web Scraper Tools"
          },
          "typeVersion": 1
        },
        {
          "id": "e7c8d333-e256-4944-a584-575162072ca4",
          "name": "Simple Memory",
          "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
          "position": [
            -280,
            400
          ],
          "parameters": {
            "sessionKey": "=Perform the web scraping for the below URL\n\n{{ $json.url }}",
            "sessionIdType": "customKey",
            "contextWindowLength": 10
          },
          "typeVersion": 1.3
        },
        {
          "id": "5e89519e-8ee5-4c3b-807d-21cef6e36c32",
          "name": "Webhook for Web Scraper AI Agent",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            260,
            120
          ],
          "parameters": {
            "url": "={{ $('Set the URL with the Webhook URL and data format').item.json.webhook_url }}",
            "options": {},
            "sendBody": true,
            "bodyParameters": {
              "parameters": [
                {
                  "name": "response",
                  "value": "={{ $json.output }}"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "2de093f4-15e5-4710-83d9-e6d9ed852873",
          "name": "Set the URL with the Webhook URL and data format",
          "type": "n8n-nodes-base.set",
          "position": [
            -400,
            60
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "214e61a0-3587-453f-baf5-eac013990857",
                  "name": "url",
                  "type": "string",
                  "value": "https://about.google/"
                },
                {
                  "id": "45014942-0a2e-4f46-b395-f82f97bfa93e",
                  "name": "webhook_url",
                  "type": "string",
                  "value": "https://webhook.site/daf9d591-a130-4010-b1d3-0c66f8fcf467"
                },
                {
                  "id": "7f6c03f6-9fa3-45f9-bf81-243b7106bdac",
                  "name": "format",
                  "type": "string",
                  "value": "scrape_as_markdown"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "04a5b11f-1990-440e-be23-2fbcb985dd4a",
          "name": "Create a binary data",
          "type": "n8n-nodes-base.function",
          "position": [
            260,
            -80
          ],
          "parameters": {
            "functionCode": "items[0].binary = {\n  data: {\n    data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n  }\n};\nreturn items;"
          },
          "typeVersion": 1
        },
        {
          "id": "0765ffcd-4746-45f7-add8-f82d66709321",
          "name": "Write the scraped content to disk",
          "type": "n8n-nodes-base.readWriteFile",
          "position": [
            460,
            -80
          ],
          "parameters": {
            "options": {},
            "fileName": "d:\\Scraped-Content.json",
            "operation": "write"
          },
          "typeVersion": 1
        },
        {
          "id": "16cd9b48-765d-4f0d-8e78-6c41cfc50b03",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -220,
            -540
          ],
          "parameters": {
            "width": 440,
            "height": 120,
            "content": "## Disclaimer\nThis template is only available on n8n self-hosted as it's making use of the community node for MCP Client."
          },
          "typeVersion": 1
        },
        {
          "id": "ff4b9e9c-a0f0-4cdb-ad53-55dc412794fc",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1080,
            -80
          ],
          "parameters": {
            "color": 5,
            "width": 480,
            "height": 380,
            "content": "## Note\nThe AI agent utilizes Bright Data's MCP tools to perform web scraping based on user requests. It intelligently selects the most suitable web scraping tool to fulfill the user's query.\n\nOnce the web scraping is complete, the AI agent's response is:\n\n1. Used to trigger a webhook call.\n\n2. Persisted to disk for future reference.\n\nGoogle Gemini is employed by the AI agent to understand and interpret user queries. Based on this interpretation, the agent initiates a call to the appropriate MCP client to perform the required web scraping task.\n\nSource - https://github.com/luminati-io/brightdata-mcp"
          },
          "typeVersion": 1
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "ccf9f9af-82d5-4751-b06d-497c043c85fc",
      "connections": {
        "AI Agent": {
          "main": [
            [
              {
                "node": "Webhook for Web Scraper AI Agent",
                "type": "main",
                "index": 0
              },
              {
                "node": "Create a binary data",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Set the URLs": {
          "main": [
            [
              {
                "node": "MCP Client Bright Data Web Scraper",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Simple Memory": {
          "ai_memory": [
            [
              {
                "node": "AI Agent",
                "type": "ai_memory",
                "index": 0
              }
            ]
          ]
        },
        "Create a binary data": {
          "main": [
            [
              {
                "node": "Write the scraped content to disk",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "MCP Client List all tools": {
          "ai_tool": [
            [
              {
                "node": "AI Agent",
                "type": "ai_tool",
                "index": 0
              }
            ]
          ]
        },
        "MCP Client to Scrape as HTML": {
          "ai_tool": [
            [
              {
                "node": "AI Agent",
                "type": "ai_tool",
                "index": 0
              }
            ]
          ]
        },
        "MCP Client to Scrape as Markdown": {
          "ai_tool": [
            [
              {
                "node": "AI Agent",
                "type": "ai_tool",
                "index": 0
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          "main": [
            []
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        },
        "When clicking ‘Test workflow’": {
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            [
              {
                "node": "MCP Client list all tools for Bright Data",
                "type": "main",
                "index": 0
              },
              {
                "node": "Set the URL with the Webhook URL and data format",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "MCP Client Bright Data Web Scraper": {
          "main": [
            [
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                "node": "Webhook for web scraper",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Google Gemini Chat Model for AI Agent": {
          "ai_languageModel": [
            [
              {
                "node": "AI Agent",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "MCP Client list all tools for Bright Data": {
          "main": [
            [
              {
                "node": "Set the URLs",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Set the URL with the Webhook URL and data format": {
          "main": [
            [
              {
                "node": "AI Agent",
                "type": "main",
                "index": 0
              }
            ]
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    "lastUpdatedBy": 29,
    "workflowInfo": {
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      "nodeTypes": {
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    "status": "published",
    "user": {
      "name": "Ranjan Dailata",
      "username": "ranjancse",
      "bio": "A Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com ",
      "verified": true,
      "links": [
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        "codex": {
          "data": {
            "alias": [
              "Code",
              "Javascript",
              "Custom Code",
              "Script",
              "cpde"
            ],
            "details": "The Function node allows you to execute JavaScript in your workflow. Unlike the Function Item node, this node does not operate on incoming node data per-item. Instead, you must iterate over multiple items of incoming data yourself. This can be useful if you're performing data transformation where you want to manipulate the number of items being outputted by the node (i.e. 1 item is inputted in with nested object, 10 items are outputted without any nested objects)",
            "resources": {
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                  "label": "2021 Goals: Level Up Your Vocabulary With Vonage and n8n"
                },
                {
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                  "icon": "🏭",
                  "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide"
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                  "icon": "☀️",
                  "label": "2021: The Year to Automate the New You with n8n"
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                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
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                  "icon": "😍",
                  "label": "Why I chose n8n over Zapier in 2020"
                },
                {
                  "url": "https://n8n.io/blog/how-to-host-virtual-coffee-breaks-with-n8n/",
                  "icon": "☕️",
                  "label": "How to host virtual coffee breaks with n8n"
                },
                {
                  "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/",
                  "icon": "📈",
                  "label": "Automatically pulling and visualizing data with n8n"
                },
                {
                  "url": "https://n8n.io/blog/database-monitoring-and-alerting-with-n8n/",
                  "icon": "📡",
                  "label": "Database Monitoring and Alerting with n8n"
                },
                {
                  "url": "https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/",
                  "icon": "🎫",
                  "label": "Supercharging your conference registration process with n8n"
                },
                {
                  "url": "https://n8n.io/blog/creating-triggers-for-n8n-workflows-using-polling/",
                  "icon": "⏲",
                  "label": "Creating triggers for n8n workflows using polling"
                },
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                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
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                "Root Nodes"
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              "Language Models": [
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}