Brave Suche strukturierte Datenextraktion (Bright Data MCP + Google Gemini)
Experte
Dies ist ein AI, Marketing-Bereich Automatisierungsworkflow mit 24 Nodes. Hauptsächlich werden Set, Switch, Function, McpClient, HttpRequest und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Extraktion von strukturierten Daten aus Brave Search mit Bright Data MCP und Google Gemini
Voraussetzungen
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
- •Google Sheets API-Anmeldedaten
- •Google Gemini API Key
Verwendete Nodes (24)
Kategorie
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
"id": "eqvDSknjbg3YLzxM",
"meta": {
"instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
"templateCredsSetupCompleted": true
},
"name": "Brave Search (Image,Video, News, All) and Structured Data Extract with Bright Data MCP & Google Gemini",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
},
{
"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"
},
{
"id": "qpxJxOMCv2x7Op5c",
"name": "SERP",
"createdAt": "2025-04-03T15:37:19.686Z",
"updatedAt": "2025-04-03T15:37:19.686Z"
}
],
"nodes": [
{
"id": "70d29e8e-3e2d-4177-abdc-d3da8d6b60e4",
"name": "Bei Klick auf 'Workflow testen'",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-780,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "e3b06669-954e-494f-8b59-080d9d7083a8",
"name": "Google Gemini Chat-Modell",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
600,
220
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "2c8c3b3a-edaf-42f2-8f3b-1c3a96bd4c7d",
"name": "Strukturierter Datenextraktor",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
600,
0
],
"parameters": {
"text": "=Extract structured data from the search result. \n\n{{ $json.search_response }}",
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.6
},
{
"id": "b2cb439e-eccc-40ad-97db-265bcd9f7a73",
"name": "Eingabe für Bildsuche setzen",
"type": "n8n-nodes-base.set",
"position": [
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "0b0e9335-56d4-4705-b61b-de0dc9c8ae6d",
"name": "search_base_url",
"type": "string",
"value": "https://search.brave.com/images"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "df89cc2e-1b75-4176-a66d-f17d5076bb17",
"name": "Strukturierter Ausgabe-Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
780,
220
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"search_results\": {\n \"type\": \"array\",\n \"description\": \"A list of search results related to the query.\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"title\": {\n \"type\": \"string\",\n \"description\": \"The title of the search result or webpage.\"\n },\n \"url\": {\n \"type\": \"string\",\n \"format\": \"uri\",\n \"description\": \"The URL of the result.\"\n },\n \"description\": {\n \"type\": \"string\",\n \"description\": \"A short description or snippet summarizing the content of the URL.\"\n }\n },\n \"required\": [\"title\", \"url\", \"description\"]\n }\n },\n \"related_queries\": {\n \"type\": \"array\",\n \"description\": \"A list of queries related to the original search, often used for refining or expanding the search.\",\n \"items\": {\n \"type\": \"string\"\n }\n }\n },\n \"required\": [\"search_results\"]\n}\n"
},
"typeVersion": 1.2
},
{
"id": "919833cb-1add-4670-86a4-466f3df925f3",
"name": "Bright Data MCP Client für Brave-Bildsuche",
"type": "n8n-nodes-mcp.mcpClient",
"position": [
100,
-300
],
"parameters": {
"toolName": "scrape_as_html",
"operation": "executeTool",
"toolParameters": "={\n \"url\": \"{{$json.search_base_url}}?q={{encodeURI($('Set the search criteria\\'s').item.json.search_query))}}\"\n} "
},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"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": [
{
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"operator": {
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"type": "string",
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},
"leftValue": "={{ $json.search_type }}",
"rightValue": "videos"
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]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
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"leftValue": "={{ $json.search_type }}",
"rightValue": "news"
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}
},
{
"conditions": {
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},
"leftValue": "={{ $json.search_type }}",
"rightValue": "all"
}
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}
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "f20fde43-bfb3-447a-9f43-51bf952c9d7e",
"name": "Eingabe für Videosuche setzen",
"type": "n8n-nodes-base.set",
"position": [
-120,
-100
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "0b0e9335-56d4-4705-b61b-de0dc9c8ae6d",
"name": "search_base_url",
"type": "string",
"value": "https://search.brave.com/video"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "b25da743-0d4b-46a2-bb51-2b8e1c533ac5",
"name": "Bright Data MCP Client für Brave-Videosuche",
"type": "n8n-nodes-mcp.mcpClient",
"position": [
100,
-100
],
"parameters": {
"toolName": "scrape_as_html",
"operation": "executeTool",
"toolParameters": "={\n \"url\": \"{{$json.search_base_url}}?q={{encodeURI($('Set the search criteria\\'s').item.json.search_query))}}\"\n} "
},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "28e51b1c-a4f3-4d95-af12-d4bd1219cfa2",
"name": "Suchantwort setzen",
"type": "n8n-nodes-base.set",
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "74d82a2b-0219-4966-80f2-3144c7c5e4c7",
"name": "search_response",
"type": "string",
"value": "={{ $json.result.content[0].text }}"
}
]
}
},
"typeVersion": 3.4
},
{
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"type": "n8n-nodes-base.stickyNote",
"position": [
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"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
},
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"position": [
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"parameters": {
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"height": 220,
"content": "## LLM Usages\n\nGoogle Gemini LLM is being utilized for the structured data extraction handling."
},
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},
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"position": [
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"parameters": {
"color": 7,
"width": 440,
"height": 360,
"content": "## Logo\n\n\n\n"
},
"typeVersion": 1
},
{
"id": "5581a950-075d-4d4d-9f97-fd65e71cc6ff",
"name": "Haftnotiz3",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"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": "Eingabefelder für News-Suche setzen",
"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": "Suchkriterien setzen",
"type": "n8n-nodes-base.set",
"position": [
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],
"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 für Brave-News-Suche",
"type": "n8n-nodes-mcp.mcpClient",
"position": [
100,
100
],
"parameters": {
"toolName": "scrape_as_html",
"operation": "executeTool",
"toolParameters": "={\n \"url\": \"{{$json.search_base_url}}?q={{encodeURI($('Set the search criteria\\'s').item.json.search_query)}}\"\n} "
},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "725c7c7e-6422-4bcb-8bb1-441766741c96",
"name": "Bright Data MCP Client für Brave-All-Suche",
"type": "n8n-nodes-mcp.mcpClient",
"position": [
100,
300
],
"parameters": {
"toolName": "scrape_as_html",
"operation": "executeTool",
"toolParameters": "={\n \"url\": \"{{$json.search_base_url}}?q={{encodeURI($('Set the search criteria\\'s').item.json.search_query)}}\"\n} "
},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "a6843bfe-f649-4ab8-9208-1d3119e811c5",
"name": "Eingabefelder für All-Suche setzen",
"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": "Zjoxh2BUZ6VXGQhA",
"name": "Google Sheets account"
}
},
"typeVersion": 4.5
},
{
"id": "6d51e57a-1303-46a0-95ce-80d3a17c30db",
"name": "Binärdaten für Strukturierte Datenextraktion erstellen",
"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": "Strukturierte Inhalte auf Festplatte schreiben",
"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": "Webhook-Benachrichtigung für strukturierte Daten auslösen",
"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
},
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"parameters": {
"color": 4,
"width": 940,
"height": 660,
"content": "## Structured Data and Output Handling\n"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
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}Häufig gestellte Fragen
Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Künstliche Intelligenz, Marketing
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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Workflow-Informationen
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Autor
Ranjan Dailata
@ranjancseA Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com
Externe Links
Auf n8n.io ansehen →
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