{
  "workflow": {
    "id": 4497,
    "name": "Extract structured data from Brave Search with Bright Data MCP & Google Gemini",
    "views": 327,
    "recentViews": 0,
    "totalViews": 327,
    "createdAt": "2025-05-29T17:34:51.086Z",
    "description": "![BraveSearchWithBrightDataMCP.png](fileId:1418)\n\n### Notice\nCommunity nodes can only be installed on self-hosted instances of n8n.\n\n### Who this is for\nThe Brave Search Structured Data Extractor workflow is designed for professionals and teams that need high-quality, structured insights from Brave search results in real time. Whether you're performing market research, tracking competitors, training AI models, or powering content engines, this workflow offers a robust and automated solution.\n\nThis workflow is tailored for:\n\n**Market Researchers** - Who analyze trends across multimedia channels\n\n**AI Developers** - Who require clean, structured datasets for model fine-tuning\n\n**SEO & Content** - Analysts looking to monitor visibility across news, images, and videos\n\n**Media Researchers** - Curating timely and relevant information across formats\n\n**Automation Engineers** - Integrating search insights into downstream workflows\n\n### What problem is this workflow solving?\nTraditional web scraping and search result parsing is fragmented, inconsistent, and prone to errors, especially when dealing with multimedia (images, videos, news) data from search engines. This workflow provides:\n\n- Centralized Brave search data extraction across all content types. Switches the search execution based upon the type of search that is being set. ex: news, images, videos, all\n\n- Automated structured data transformation using Google Gemini\n\n- Unified output persistence and notification across disk, webhook, and Google Sheets\n\n### What this workflow does\n\n**Input Configuration**\n\n- Define your Brave search query\n\n- Set the search type: videos, images, news, or all\n\n- Configure your Bright Data MCP zone\n\n**Bright Data MCP Search Execution**\n\n- Initiates a Brave search via Bright Data MCP using the correct URL pattern for each search type\n\n- Returns raw HTML of search results\n\n**Google Gemini LLM** \n\n- Structured Data Extraction\n\n- Transforms raw results into structured data (e.g., title, URL, source, snippet)\n\n**Output Handling**\n\n- Save to disk (e.g., JSON or CSV file)\n\n- Send Webhook notification with structured data (e.g., Slack, internal dashboards)\n\n- Store in Google Sheets for team-wide access or dashboarding\n\n### Pre-conditions\n\n1. Knowledge of Model Context Protocol (MCP) is highly essential. Please read this blog post - [model-context-protocol](https://www.anthropic.com/news/model-context-protocol)\n2. You need to have the [Bright Data](https://brightdata.com/) account and do the necessary setup as mentioned in the **Setup** section below.\n3. You need to have the Google Gemini API Key. Visit [Google AI Studio](https://aistudio.google.com/)\n3. You need to install the Bright Data MCP Server [@brightdata/mcp](https://www.npmjs.com/package/@brightdata/mcp)\n4. You need to install the [n8n-nodes-mcp](https://github.com/nerding-io/n8n-nodes-mcp)\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:1417)\n\nMake sure to copy the Bright Data API_TOKEN within the Environments textbox above as API_TOKEN=&lt;your-token&gt;\n\n### How to customize this workflow to your needs\n\n**Enhance Output Analysis**\nAdd additional LLM prompts for topic classification, sentiment scoring, or trend forecasting.\n\n**Output Format Options**\nChoose to output CSV, Markdown, or HTML reports based on your integration target.\n\n**Schedule Automation**\nTrigger the workflow on a schedule (daily/weekly) to keep monitoring topical content.\n\n\n\n",
    "workflow": {
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      "meta": {
        "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
        "templateCredsSetupCompleted": true
      },
      "name": "Brave Search (Image,Video, News, All) and Structured Data Extract with Bright Data MCP & Google Gemini",
      "tags": [
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          "name": "Engineering",
          "createdAt": "2025-04-09T01:31:00.558Z",
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          "parameters": {},
          "typeVersion": 1
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          "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
          "position": [
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          ],
          "parameters": {
            "options": {},
            "modelName": "models/gemini-2.0-flash-exp"
          },
          "credentials": {
            "googlePalmApi": {
              "id": "credential-id",
              "name": "googlePalmApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "2c8c3b3a-edaf-42f2-8f3b-1c3a96bd4c7d",
          "name": "Structured Data Extractor",
          "type": "@n8n/n8n-nodes-langchain.chainLlm",
          "position": [
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          "parameters": {
            "text": "=Extract structured data from the search result. \n\n{{ $json.search_response }}",
            "promptType": "define",
            "hasOutputParser": true
          },
          "retryOnFail": true,
          "typeVersion": 1.6
        },
        {
          "id": "b2cb439e-eccc-40ad-97db-265bcd9f7a73",
          "name": "Set the input for image search",
          "type": "n8n-nodes-base.set",
          "position": [
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          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "0b0e9335-56d4-4705-b61b-de0dc9c8ae6d",
                  "name": "search_base_url",
                  "type": "string",
                  "value": "https://search.brave.com/images"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "df89cc2e-1b75-4176-a66d-f17d5076bb17",
          "name": "Structured Output Parser",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
            780,
            220
          ],
          "parameters": {
            "schemaType": "manual",
            "inputSchema": "{\n  \"type\": \"object\",\n  \"properties\": {\n    \"search_results\": {\n      \"type\": \"array\",\n      \"description\": \"A list of search results related to the query.\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"title\": {\n            \"type\": \"string\",\n            \"description\": \"The title of the search result or webpage.\"\n          },\n          \"url\": {\n            \"type\": \"string\",\n            \"format\": \"uri\",\n            \"description\": \"The URL of the result.\"\n          },\n          \"description\": {\n            \"type\": \"string\",\n            \"description\": \"A short description or snippet summarizing the content of the URL.\"\n          }\n        },\n        \"required\": [\"title\", \"url\", \"description\"]\n      }\n    },\n    \"related_queries\": {\n      \"type\": \"array\",\n      \"description\": \"A list of queries related to the original search, often used for refining or expanding the search.\",\n      \"items\": {\n        \"type\": \"string\"\n      }\n    }\n  },\n  \"required\": [\"search_results\"]\n}\n"
          },
          "typeVersion": 1.2
        },
        {
          "id": "919833cb-1add-4670-86a4-466f3df925f3",
          "name": "Bright Data MCP Client for Brave Image Search",
          "type": "n8n-nodes-mcp.mcpClient",
          "position": [
            100,
            -300
          ],
          "parameters": {
            "toolName": "scrape_as_html",
            "operation": "executeTool",
            "toolParameters": "={\n  \"url\": \"{{$json.search_base_url}}?q={{encodeURI($('Set the search criteria\\'s').item.json.search_query))}}\"\n} "
          },
          "credentials": {
            "mcpClientApi": {
              "id": "credential-id",
              "name": "mcpClientApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "d90b79cc-b878-4210-8380-794cd378ec73",
          "name": "Switch",
          "type": "n8n-nodes-base.switch",
          "position": [
            -340,
            -21
          ],
          "parameters": {
            "rules": {
              "values": [
                {
                  "conditions": {
                    "options": {
                      "version": 2,
                      "leftValue": "",
                      "caseSensitive": true,
                      "typeValidation": "strict"
                    },
                    "combinator": "and",
                    "conditions": [
                      {
                        "id": "235f2abd-b5fd-4c0a-aa63-9d8655d02dfc",
                        "operator": {
                          "type": "string",
                          "operation": "equals"
                        },
                        "leftValue": "={{ $json.search_type }}",
                        "rightValue": "images"
                      }
                    ]
                  }
                },
                {
                  "conditions": {
                    "options": {
                      "version": 2,
                      "leftValue": "",
                      "caseSensitive": true,
                      "typeValidation": "strict"
                    },
                    "combinator": "and",
                    "conditions": [
                      {
                        "id": "4b6eb7ce-5683-48cf-8ab9-81b25693c280",
                        "operator": {
                          "name": "filter.operator.equals",
                          "type": "string",
                          "operation": "equals"
                        },
                        "leftValue": "={{ $json.search_type }}",
                        "rightValue": "videos"
                      }
                    ]
                  }
                },
                {
                  "conditions": {
                    "options": {
                      "version": 2,
                      "leftValue": "",
                      "caseSensitive": true,
                      "typeValidation": "strict"
                    },
                    "combinator": "and",
                    "conditions": [
                      {
                        "id": "312a7726-33a4-4294-9103-5a5017f36909",
                        "operator": {
                          "name": "filter.operator.equals",
                          "type": "string",
                          "operation": "equals"
                        },
                        "leftValue": "={{ $json.search_type }}",
                        "rightValue": "news"
                      }
                    ]
                  }
                },
                {
                  "conditions": {
                    "options": {
                      "version": 2,
                      "leftValue": "",
                      "caseSensitive": true,
                      "typeValidation": "strict"
                    },
                    "combinator": "and",
                    "conditions": [
                      {
                        "id": "e84e037f-89a3-48ef-b509-2ca70844ad27",
                        "operator": {
                          "name": "filter.operator.equals",
                          "type": "string",
                          "operation": "equals"
                        },
                        "leftValue": "={{ $json.search_type }}",
                        "rightValue": "all"
                      }
                    ]
                  }
                }
              ]
            },
            "options": {}
          },
          "typeVersion": 3.2
        },
        {
          "id": "f20fde43-bfb3-447a-9f43-51bf952c9d7e",
          "name": "Set the input for video search",
          "type": "n8n-nodes-base.set",
          "position": [
            -120,
            -100
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "0b0e9335-56d4-4705-b61b-de0dc9c8ae6d",
                  "name": "search_base_url",
                  "type": "string",
                  "value": "https://search.brave.com/video"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "b25da743-0d4b-46a2-bb51-2b8e1c533ac5",
          "name": "Bright Data MCP Client for Brave Video Search",
          "type": "n8n-nodes-mcp.mcpClient",
          "position": [
            100,
            -100
          ],
          "parameters": {
            "toolName": "scrape_as_html",
            "operation": "executeTool",
            "toolParameters": "={\n  \"url\": \"{{$json.search_base_url}}?q={{encodeURI($('Set the search criteria\\'s').item.json.search_query))}}\"\n} "
          },
          "credentials": {
            "mcpClientApi": {
              "id": "credential-id",
              "name": "mcpClientApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "28e51b1c-a4f3-4d95-af12-d4bd1219cfa2",
          "name": "Set the Search Response",
          "type": "n8n-nodes-base.set",
          "position": [
            380,
            0
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "74d82a2b-0219-4966-80f2-3144c7c5e4c7",
                  "name": "search_response",
                  "type": "string",
                  "value": "={{ $json.result.content[0].text }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "98d38078-4708-4d22-a8be-e50a4701ea75",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            120,
            -480
          ],
          "parameters": {
            "color": 3,
            "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": "43138034-35ad-43fd-b67e-69942e1b061b",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -340,
            -580
          ],
          "parameters": {
            "color": 5,
            "width": 440,
            "height": 220,
            "content": "## LLM Usages\n\nGoogle Gemini LLM is being utilized for the structured data extraction handling."
          },
          "typeVersion": 1
        },
        {
          "id": "eb731e47-779e-40bc-8a83-126d1b03a70b",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -800,
            -980
          ],
          "parameters": {
            "color": 7,
            "width": 440,
            "height": 360,
            "content": "## Logo\n\n\n![logo](https://images.seeklogo.com/logo-png/43/1/brightdata-logo-png_seeklogo-439974.png)\n"
          },
          "typeVersion": 1
        },
        {
          "id": "5581a950-075d-4d4d-9f97-fd65e71cc6ff",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -800,
            -580
          ],
          "parameters": {
            "width": 440,
            "height": 320,
            "content": "## Note\n\nDeals with the Brave Search by leveraging the Bright Data MCP Client.\n\n**Please make sure to set the search type with videos, images, news, all based on your search input needs**\n\n**Please make sure to update the Initiate a Webhook Notification for the Structured Data node with the Webhook of your interest**"
          },
          "typeVersion": 1
        },
        {
          "id": "a5afb97c-0fbf-48b1-b598-fbca46e3df96",
          "name": "Set the input fields for news search",
          "type": "n8n-nodes-base.set",
          "position": [
            -120,
            100
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "0b0e9335-56d4-4705-b61b-de0dc9c8ae6d",
                  "name": "search_base_url",
                  "type": "string",
                  "value": "https://search.brave.com/news"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "0dcd6a1b-7968-40da-ad27-4d39fadc243a",
          "name": "Set the search criteria's",
          "type": "n8n-nodes-base.set",
          "position": [
            -560,
            0
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "9852f865-49b9-4672-9454-4bcc51173445",
                  "name": "search_type",
                  "type": "string",
                  "value": "news"
                },
                {
                  "id": "643626c4-6d3e-4609-be12-5e7c0c7afe1d",
                  "name": "search_query",
                  "type": "string",
                  "value": "bright+data&source=web&lang=en-in"
                },
                {
                  "id": "4a0fc0eb-2638-4441-9eb1-51c29dd7d1b4",
                  "name": "json_search_query",
                  "type": "string",
                  "value": "{     \"query\": \"What are the latest funding rounds for AI startups?\",     \"include_domains\": [ \"crunchbase.com\", \"techcrunch.com\", \"pitchbook.com\" ]  }"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "2c686701-f3fa-4bf4-bdea-b11dce7b2862",
          "name": "Bright Data MCP Client for Brave News Search",
          "type": "n8n-nodes-mcp.mcpClient",
          "position": [
            100,
            100
          ],
          "parameters": {
            "toolName": "scrape_as_html",
            "operation": "executeTool",
            "toolParameters": "={\n  \"url\": \"{{$json.search_base_url}}?q={{encodeURI($('Set the search criteria\\'s').item.json.search_query)}}\"\n} "
          },
          "credentials": {
            "mcpClientApi": {
              "id": "credential-id",
              "name": "mcpClientApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "725c7c7e-6422-4bcb-8bb1-441766741c96",
          "name": "Bright Data MCP Client for Brave All Search",
          "type": "n8n-nodes-mcp.mcpClient",
          "position": [
            100,
            300
          ],
          "parameters": {
            "toolName": "scrape_as_html",
            "operation": "executeTool",
            "toolParameters": "={\n  \"url\": \"{{$json.search_base_url}}?q={{encodeURI($('Set the search criteria\\'s').item.json.search_query)}}\"\n} "
          },
          "credentials": {
            "mcpClientApi": {
              "id": "credential-id",
              "name": "mcpClientApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "a6843bfe-f649-4ab8-9208-1d3119e811c5",
          "name": "Set the input fields for All search",
          "type": "n8n-nodes-base.set",
          "position": [
            -120,
            300
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "0b0e9335-56d4-4705-b61b-de0dc9c8ae6d",
                  "name": "search_base_url",
                  "type": "string",
                  "value": "https://search.brave.com/search"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "c8fa6490-f0db-400c-8283-e8f9120e6481",
          "name": "Google Sheets",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            1060,
            -180
          ],
          "parameters": {
            "columns": {
              "value": {
                "Output": "={{ $json.output.search_results.toJsonString() }}"
              },
              "schema": [
                {
                  "id": "Output",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "Output",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                }
              ],
              "mappingMode": "defineBelow",
              "matchingColumns": [
                "Output"
              ],
              "attemptToConvertTypes": false,
              "convertFieldsToString": false
            },
            "options": {},
            "operation": "appendOrUpdate",
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "gid=0",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1KE5v8RZ3BouTzoT3D4CeU8whe-kWpZcq0VMSalNrxFg/edit#gid=0",
              "cachedResultName": "Sheet1"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "1KE5v8RZ3BouTzoT3D4CeU8whe-kWpZcq0VMSalNrxFg",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1KE5v8RZ3BouTzoT3D4CeU8whe-kWpZcq0VMSalNrxFg/edit?usp=drivesdk",
              "cachedResultName": "Brave Search Results"
            }
          },
          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "credential-id",
              "name": "googleSheetsOAuth2Api Credential"
            }
          },
          "typeVersion": 4.5
        },
        {
          "id": "6d51e57a-1303-46a0-95ce-80d3a17c30db",
          "name": "Create a binary data for Structured Data Extract",
          "type": "n8n-nodes-base.function",
          "position": [
            1060,
            20
          ],
          "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": "7f5d181b-18bc-4bb4-8ae9-bc2e05137127",
          "name": "Write the structured content to disk",
          "type": "n8n-nodes-base.readWriteFile",
          "position": [
            1280,
            20
          ],
          "parameters": {
            "options": {},
            "fileName": "=d:\\Brave-Search-Result-{{new Date().toISOString().replaceAll(\":\",\".\")}}.json",
            "operation": "write"
          },
          "typeVersion": 1
        },
        {
          "id": "fa6143c9-3312-4890-a490-3bc3db355c53",
          "name": "Initiate a Webhook Notification for the Structured Data",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            1060,
            220
          ],
          "parameters": {
            "url": "https://webhook.site/24878284-919d-4d39-bff0-5f36bfae17b6",
            "options": {},
            "sendBody": true,
            "bodyParameters": {
              "parameters": [
                {
                  "name": "summary",
                  "value": "={{ $json.output.search_results.toJsonString() }}"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "cdea8e7d-f513-45fa-b7cf-3b9507d47fda",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
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