판매 AI 네트워크 연구원

• •Google Sheets API 인증 정보
• •Anthropic API Key

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      "parameters": {},
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    {
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              "value": "={{ $json.input }}"
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        "source": "parameter",
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              "name": "domain",
              "type": "string",
              "value": "={{ $json.output.domain }}"
            },
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              "name": "linkedinUrl",
              "type": "string",
              "value": "={{ $json.output.linkedinUrl }}"
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              "name": "has_enterprise_plan",
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              "name": "has_API",
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            "market": "={{ $json.market }}",
            "row_number": "={{ $json.row_number }}",
            "linkedinUrl": "={{ $json.linkedinUrl }}",
            "integrations": "={{ $json.integrations }}",
            "cheapest_plan": "={{ $json.cheapest_plan }}",
            "has_free_trial": "={{ $json.has_free_trial }}",
            "enrichment_status": "done",
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        "mode": "combine",
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    {
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      "parameters": {
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        "content": "## Read Me\n\nThis workflow allows you to do account research with the web using AI.\n\nThe advanced AI module has 2 capabilities: \n- Research Google using SerpAPI\n- Visit and get website content using a sub-workflow\n\n\nFrom an unstructured input like a domain or a company name. \n\nIt will return the following properties: \n- domain\n- company Linkedin Url\n- cheapest plan\n- has free trial\n- has entreprise plan\n- has API\n- market (B2B or B2C)\n\n\nThe strength of n8n here is that you can adapt this workflow to research whatever information you need.\n\nYou just have to precise it in the prompt and to precise the output format in the \"Strutured Output Parser\" module.\n\n[Click here to find more detailed instructions with video guide.](https://lempire.notion.site/AI-Web-research-with-n8n-a25aae3258d0423481a08bd102f16906)\n"
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 3,
        "width": 260,
        "height": 216,
        "content": "Precise here the format in which you need the data to be "
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    {
      "id": "dc4f1550-1e3c-4175-a2b3-10153dc2fd77",
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      "parameters": {
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        "content": "### Ask AI what are the information you are looking for about the company"
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    {
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 3,
        "width": 220,
        "height": 209,
        "content": "Explorium MCP Server does all the research for us!"
      },
      "typeVersion": 1
    },
    {
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      "name": "AI 기업 연구원",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      "parameters": {
        "text": "=This is the company I want you to research info about:\n{{ $json.company_input }}\n\nReturn me:\n- the linkedin URL of the company\n- the domain of the company. in this format ([domain].[tld])\n- market: if they are B2B or B2C. Only reply by \"B2B\" or \"B2B\"\n- the lowest paid plan the company is offering. If you are not sure, reply null.\n- the latest case study URL published on the website (find case study hub using google, and return the first case study link)\n- tell me if the company offer an API\n- tell me if the company has an enterprise plan\n- tell me if the company has a free trial mentionned in their homepage. reply false if you don't find strong evidence.\n- return an array with up to 5 tools the company is integrated with",
        "options": {
          "maxIterations": 20
        },
        "promptType": "define",
        "hasOutputParser": true
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      "typeVersion": 1.6
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      "position": [
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      ],
      "parameters": {
        "color": 4,
        "width": 175,
        "height": 486,
        "content": "In this workflow, I use Google Sheets to store the results. \n\nYou can use my template to get started faster:\n\n1. [Click on this link to get the template](https://docs.google.com/spreadsheets/d/1vR6s2nlTwu01v3GP7wvSRWS5W49FJIh20ZF7AUkmMDo/edit?usp=sharing)\n2. Make a copy of the Sheets\n3. Add the URL to this node and the node **\"Google Sheets - Update Row with data\"**\n\n\n"
      },
      "typeVersion": 1
    },
    {
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      "name": "MCP 클라이언트",
      "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
      "position": [
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      ],
      "parameters": {
        "sseEndpoint": "mcp.explorium.ai/sse",
        "authentication": "headerAuth"
      },
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        "httpHeaderAuth": {
          "id": "LZOE1nqmRk3X6r1J",
          "name": "Explorium"
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      },
      "typeVersion": 1
    },
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      "name": "Anthropic 채팅 모델",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
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      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-3-7-sonnet-20250219",
          "cachedResultName": "Claude 3.7 Sonnet"
        },
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      },
      "credentials": {
        "anthropicApi": {
          "id": "FQdE6twB8nCJNoxV",
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