KI-Agenten-gesteuerte ProductHunt-Datenextraktion und -suche (mit Bright Data und Google Gemini)
Dies ist ein AI, Marketing-Bereich Automatisierungsworkflow mit 21 Nodes. Hauptsächlich werden Set, Function, McpClient, HttpRequest, GoogleSheets und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Extrahieren und Suchen von ProductHunt-Daten mit Bright Data MCP und Google Gemini AI
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
- •Google Sheets API-Anmeldedaten
- •Google Gemini API Key
Verwendete Nodes (21)
Kategorie
{
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"name": "AI Agent Driven ProductHunt Data Extract & Search with Bright Data & Google Gemini",
"tags": [
{
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"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",
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"updatedAt": "2025-04-13T05:38:08.053Z"
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"nodes": [
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{
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"name": "Alle Tools für Bright Data auflisten",
"type": "n8n-nodes-mcp.mcpClient",
"position": [
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"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
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}
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"typeVersion": 1
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{
"id": "08175de9-ddc7-4664-87e9-cf3b6e9008b6",
"name": "Eingabefelder setzen",
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"parameters": {
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"assignments": {
"assignments": [
{
"id": "ac9abb54-45af-488d-b3f8-f923c85dbda9",
"name": "base_url",
"type": "string",
"value": "https://www.producthunt.com"
},
{
"id": "a15e928c-7c39-46a0-9bd2-5a3a7564d4ed",
"name": "category",
"type": "string",
"value": "resumes"
},
{
"id": "2d440cf4-4e48-400d-9752-1ea6d5cfcc62",
"name": "search",
"type": "string",
"value": "The best resume tools in 2025"
},
{
"id": "5d0e3985-b268-4ca6-8702-07f6f2f439b7",
"name": "engine",
"type": "string",
"value": "google"
},
{
"id": "c4781bc2-b870-4030-9ce8-3b7111a8ea59",
"name": "webhook_url",
"type": "string",
"value": "https://webhook.site/c9118da2-1c54-460f-a83a-e5131b7098db"
}
]
}
},
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},
{
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"type": "@n8n/n8n-nodes-langchain.agent",
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"parameters": {
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"options": {},
"promptType": "define"
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"retryOnFail": true,
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},
{
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"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
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],
"parameters": {
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"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "bae60554-4022-4af3-a2c7-067235b2f03a",
"name": "MCP Client für Google Suche",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
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],
"parameters": {
"toolName": "search_engine",
"operation": "executeTool",
"toolParameters": "={\n \"query\": \"{{ $('Set the Input Fields').item.json.search }}\",\n \"engine\": \"{{ $('Set the Input Fields').item.json.engine }}\"\n} ",
"descriptionType": "manual",
"toolDescription": "=Perform a search as per the specified search engine : {{ $('Set the Input Fields').item.json.engine }}"
},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "b1ca5ed5-e0e5-4434-897b-25efad53577f",
"name": "MCP Client für Markdown-Datenextraktion",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
480,
220
],
"parameters": {
"toolName": "scrape_as_markdown",
"operation": "executeTool",
"toolParameters": "={\n \"url\": \"{{ $('Set the Input Fields').item.json.base_url }}/categories/{{ encodeURI($('Set the Input Fields').item.json.category) }}\"\n} ",
"descriptionType": "manual",
"toolDescription": "Perform Product Hunt data scrapping in markdown format"
},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
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{
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{
"id": "f243ff07-a39e-4fdc-a32b-2c50e809b3fa",
"name": "agent_operation",
"type": "string",
"value": "=Perform a Product Hunt data extract"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "be721837-c5e8-4ade-98fc-01b6aae10dd9",
"name": "Binärdaten für strukturierte Datenextraktion erstellen",
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"position": [
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"parameters": {
"functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;"
},
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{
"id": "83cf444d-4b85-4688-ac1c-67fb6027b2ec",
"name": "Strukturierte Inhalte auf Festplatte schreiben",
"type": "n8n-nodes-base.readWriteFile",
"position": [
980,
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"parameters": {
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"fileName": "=d:\\ProductData.json",
"operation": "write"
},
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},
{
"id": "2f179451-1a1d-437a-bddd-370d5deed3a2",
"name": "Webhook-Benachrichtigung für strukturierte Daten auslösen",
"type": "n8n-nodes-base.httpRequest",
"position": [
760,
180
],
"parameters": {
"url": "={{ $('Set the Input Fields').item.json.webhook_url }}",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "product_info",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
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"parameters": {
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"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."
},
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"parameters": {
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"content": "## LLM Usages\n\nGoogle Gemini LLM is being utilized for the AI Agent handling"
},
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"content": "## Logo\n\n\n\n"
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"parameters": {
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"height": 320,
"content": "## Note\n\nDeals with the ProductHunt data extraction by utilizing the Bright Data MCP and Google Gemini LLM.\n\n**Please make sure to set the input fields node and the agent operation node to fulfill your needs**"
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"content": "## Agent Operation\n\n1. Perform a Product Hunt data extract\n2. Google search and extract data"
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{
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"parameters": {
"text": "=Extract the links, keywords, description from {{ $('AI Agent').item.json.output }}\n\nConstruct the links with the base url as {{ $('Set the Input Fields').item.json.base_url }}",
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{
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],
"parameters": {
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"credentials": {
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{
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},
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}
},
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}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?
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Ranjan Dailata
@ranjancseA Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com
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