{
  "workflow": {
    "id": 6753,
    "name": "Beginner data analysis: merge, filter & summarize in Google Sheets with GPT-4o",
    "views": 1543,
    "recentViews": 1,
    "totalViews": 1543,
    "createdAt": "2025-07-31T23:20:48.763Z",
    "description": "\nThis beginner-friendly n8n workflow teaches essential data manipulation techniques using Google Sheets and AI. You'll learn how to:\n\n- ✅ Merge two datasets by a shared column (`Channel`)\n- 🔍 Filter rows based on performance metrics (`Clicks`, `Spend`)\n- 🔀 Branch logic into `\"Great\"` vs. `\"Poor\"` outcomes\n- 📊 Summarize results by team leader\n- 🤖 Use an OpenAI-powered agent to generate a written analysis highlighting the best and worst performers\n\nPerfect for marketers, analysts, or anyone learning how to clean, transform, and interpret data inside n8n.\n\nIncludes:\n- 📁 Sample Google Sheet to copy\n- 🛠 Setup instructions for Google Sheets & OpenAI\n- ✨ AI summary powered by `GPT-4o-mini`\n\n### 👋 Questions or Feedback?\n\nFeel free to reach out — I’m happy to help!\n\n**Robert Breen**  \nFounder, Ynteractive  \n🌐 [ynteractive.com](https://ynteractive.com)  \n📧 robert@ynteractive.com  \n📺 [YouTube: YnteractiveTraining](https://www.youtube.com/@ynteractivetraining)  \n🔗 [LinkedIn: linkedin.com/in/robertbreen](https://www.linkedin.com/in/robertbreen)",
    "workflow": {
      "meta": {
        "instanceId": "efb474b59b0341d7791932605bd9ff04a6c7ed9941fdd53dc4a2e4b99a6f9439",
        "templateCredsSetupCompleted": true
      },
      "nodes": [
        {
          "id": "a241764c-eb51-4d7a-b5d4-3aa517a9195f",
          "name": "Google Sheets1",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            -160,
            280
          ],
          "parameters": {
            "options": {},
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": 173686600,
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/19aUQYZq02qHsCelO4eeV4sx_MTJJupC5qe0gDLQBtRA/edit#gid=173686600",
              "cachedResultName": "Sheet2"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "19aUQYZq02qHsCelO4eeV4sx_MTJJupC5qe0gDLQBtRA",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/19aUQYZq02qHsCelO4eeV4sx_MTJJupC5qe0gDLQBtRA/edit?usp=drivesdk",
              "cachedResultName": "Sample Marketing Data"
            }
          },
          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "credential-id",
              "name": "googleSheetsOAuth2Api Credential"
            }
          },
          "typeVersion": 4.6
        },
        {
          "id": "d7b9ee1a-f87d-42f6-b480-8ee687612f33",
          "name": "Filter",
          "type": "n8n-nodes-base.filter",
          "position": [
            340,
            120
          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "version": 2,
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
              },
              "combinator": "and",
              "conditions": [
                {
                  "id": "65acf956-5912-4070-8896-923b74548a5e",
                  "operator": {
                    "type": "number",
                    "operation": "gte"
                  },
                  "leftValue": "={{ $json.Clicks }}",
                  "rightValue": 5
                }
              ]
            }
          },
          "typeVersion": 2.2
        },
        {
          "id": "872dd275-ca9a-4d30-8ac1-e1e921f5e6fd",
          "name": "Convert table names and columns into single text for agent",
          "type": "n8n-nodes-base.code",
          "position": [
            1380,
            280
          ],
          "parameters": {
            "jsCode": "return [\n  {\n    json: {\n      text: items.map(item => JSON.stringify(item.json)).join('\\n'),\n    },\n  },\n];\n"
          },
          "typeVersion": 2
        },
        {
          "id": "4b8595d1-d975-49f6-bff0-265aef52042f",
          "name": "OpenAI Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            1620,
            500
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "c83d8a13-b2da-42f5-b137-763fa06e22e4",
          "name": "Structured Output Parser",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
            1800,
            500
          ],
          "parameters": {
            "jsonSchemaExample": "{\n\t\"paragraph\": \"full paragraph\"\n}"
          },
          "typeVersion": 1.2
        },
        {
          "id": "c1ad3e75-1964-4f3b-b60c-a9531f8770f7",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -440,
            -200
          ],
          "parameters": {
            "width": 700,
            "height": 880,
            "content": "### 📌 Merge Multiple Datasets\n\nPull two Google Sheets:\n\n- **Marketing data** (performance metrics)  \n- **Leader assignment** (who manages each channel)\n\nThen merge the two sheets based on the **Channel** field.\n\n---\n"
          },
          "typeVersion": 1
        },
        {
          "id": "9de427fa-c2e0-4de0-8e7b-35d4566f3d6e",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            280,
            -200
          ],
          "parameters": {
            "color": 5,
            "width": 380,
            "height": 880,
            "content": "\n### 📌 Filter and If Steps\n\n**Step 1:** Filter records with **Clicks ≥ 5**  \n**Step 2:** Branch logic:\n\n- If **Spend ≥ 350** → `\"Great\"` outcome  \n- Else → `\"Poor\"` outcome\n\n---"
          },
          "typeVersion": 1
        },
        {
          "id": "8aa28836-07db-42f7-b2da-0b2e656e92c7",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            680,
            -200
          ],
          "parameters": {
            "color": 3,
            "width": 380,
            "height": 880,
            "content": "### 📌 Summarize and Set Steps\n\nFor each branch (**Great** / **Poor**):\n\n- Count the number of rows per **Leader**  \n- Assign outcome labels  \n- Prepare fields like `Leader`, `Outcome`, and `Day count`\n\n---"
          },
          "typeVersion": 1
        },
        {
          "id": "1fb89d3c-a10e-490d-998a-42436a1d05d0",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1100,
            -200
          ],
          "parameters": {
            "color": 2,
            "width": 860,
            "height": 880,
            "content": "### 📌 Analyze Results with an AI Agent\n\n- Merge both sets of labeled outcomes  \n- Convert to a readable text format  \n- Use an **AI Agent** to summarize and compare performance of leaders  \n- Output a **paragraph** that identifies the **best** and **worst** performers and **why**"
          },
          "typeVersion": 1
        },
        {
          "id": "02854b46-8baf-438e-b110-92ce4e96dd6b",
          "name": "Sample Marketing Data",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            -160,
            80
          ],
          "parameters": {
            "options": {},
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "gid=0",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/19aUQYZq02qHsCelO4eeV4sx_MTJJupC5qe0gDLQBtRA/edit#gid=0",
              "cachedResultName": "Sheet1"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "19aUQYZq02qHsCelO4eeV4sx_MTJJupC5qe0gDLQBtRA",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/19aUQYZq02qHsCelO4eeV4sx_MTJJupC5qe0gDLQBtRA/edit?usp=drivesdk",
              "cachedResultName": "Sample Marketing Data"
            }
          },
          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "credential-id",
              "name": "googleSheetsOAuth2Api Credential"
            }
          },
          "typeVersion": 4.6
        },
        {
          "id": "cf5b6397-fe1a-46db-928a-5903507ef424",
          "name": "Start Workflow",
          "type": "n8n-nodes-base.manualTrigger",
          "position": [
            -380,
            180
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "58039c62-8b23-4114-9e86-5502c82719ee",
          "name": "Merge on Channel Field",
          "type": "n8n-nodes-base.merge",
          "position": [
            60,
            180
          ],
          "parameters": {
            "mode": "combine",
            "options": {},
            "fieldsToMatchString": "Channel"
          },
          "typeVersion": 3.2
        },
        {
          "id": "7ed757ca-05b7-41af-9f70-f88b9aba4981",
          "name": "Check if spend over $350",
          "type": "n8n-nodes-base.if",
          "position": [
            460,
            340
          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "version": 2,
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
              },
              "combinator": "and",
              "conditions": [
                {
                  "id": "c0cba05b-63ba-420e-851a-caf2bf9b9914",
                  "operator": {
                    "type": "number",
                    "operation": "gte"
                  },
                  "leftValue": "={{ $json['Spend ($)'] }}",
                  "rightValue": 350
                }
              ]
            }
          },
          "typeVersion": 2.2
        },
        {
          "id": "73aeb996-58d7-4492-a948-bc6f9f92cb46",
          "name": "Count bad days",
          "type": "n8n-nodes-base.summarize",
          "position": [
            740,
            100
          ],
          "parameters": {
            "options": {},
            "fieldsToSplitBy": "Leader",
            "fieldsToSummarize": {
              "values": [
                {
                  "field": "row_number"
                }
              ]
            }
          },
          "typeVersion": 1.1
        },
        {
          "id": "af21446e-d779-4937-bee4-d650dccd8f32",
          "name": "Count good days",
          "type": "n8n-nodes-base.summarize",
          "position": [
            760,
            300
          ],
          "parameters": {
            "options": {},
            "fieldsToSplitBy": "Leader",
            "fieldsToSummarize": {
              "values": [
                {
                  "field": "row_number"
                }
              ]
            }
          },
          "typeVersion": 1.1
        },
        {
          "id": "9b6bb3eb-aae2-4317-8551-78fb81312765",
          "name": "Organize fields into table",
          "type": "n8n-nodes-base.set",
          "position": [
            920,
            120
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "e2f52c05-13a5-4692-bbea-87642535145e",
                  "name": "Outcome",
                  "type": "string",
                  "value": "Poor"
                },
                {
                  "id": "8c353e0a-409f-4cff-a1b9-17259cc3a1dd",
                  "name": "# of Days",
                  "type": "number",
                  "value": "={{ $json.count_row_number }}"
                },
                {
                  "id": "82d2f8dd-54b8-42c8-b502-6ae1fc76e1fe",
                  "name": "Leader",
                  "type": "string",
                  "value": "={{ $json.Leader }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "b5780191-2068-4595-b18c-16626003145d",
          "name": "Organize second data into table",
          "type": "n8n-nodes-base.set",
          "position": [
            920,
            320
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "f3f79a06-acb9-4b89-a7ab-438358b4395e",
                  "name": "Outcome",
                  "type": "string",
                  "value": "Great"
                },
                {
                  "id": "e79913fa-a2ec-459c-a00d-df23bb1a2a25",
                  "name": "# of Days",
                  "type": "number",
                  "value": "={{ $json.count_row_number }}"
                },
                {
                  "id": "a6b563e3-0776-4916-a9f3-05d38a67330a",
                  "name": "Leader",
                  "type": "string",
                  "value": "={{ $json.Leader }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "097dc227-3999-427c-9900-008845b00131",
          "name": "Append datasources together",
          "type": "n8n-nodes-base.merge",
          "position": [
            1180,
            220
          ],
          "parameters": {},
          "typeVersion": 3.2
        },
        {
          "id": "1ec5183b-be3f-447a-b312-56420ac5c706",
          "name": "AI Agent - Summarize Leader Performance",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "position": [
            1600,
            180
          ],
          "parameters": {
            "text": "={{ $json.text }}",
            "options": {
              "systemMessage": "You are given a list of outcomes by leader. write a summary of the outcomes and identify who is doing the best and worst, and why. \n\noutput as one paragraph. \n\nOutput like this. \n\n{\n\t\"paragraph\": \"full paragraph\"\n}"
            },
            "promptType": "define",
            "hasOutputParser": true
          },
          "typeVersion": 2
        },
        {
          "id": "0a53ca1a-53f0-4d68-b70f-e5fff251af5f",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -440,
            -400
          ],
          "parameters": {
            "color": 4,
            "width": 1100,
            "content": "### 📌 Setup Instructions\n\nBefore running the workflow:\n\n1. **Copy the sample Google Sheet**  \n   [Click here to copy the Google Sheet](https://docs.google.com/spreadsheets/d/19aUQYZq02qHsCelO4eeV4sx_MTJJupC5qe0gDLQBtRA/copy)\n\n2. **Connect Google Sheets API**  \n   - In n8n, go to **Credentials** and create a **Google Sheets OAuth2** credential.\n   - Make sure to authorize access to the copied spreadsheet.\n\n3. **Add your OpenAI API Key**  \n   - In the **AI Agent** step, connect your **OpenAI credential** using your API key.\n\n---"
          },
          "typeVersion": 1
        },
        {
          "id": "4dffd2eb-9a06-4103-97a5-47aeccdca95c",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            680,
            -400
          ],
          "parameters": {
            "color": 2,
            "width": 1280,
            "content": "### 👋 Questions or Feedback?\nFeel free to reach out — I’m happy to help!\n**Robert Breen**  \nFounder, Ynteractive  \n🌐 [ynteractive.com](https://ynteractive.com)  \n📧 robert@ynteractive.com  \n🔗 [LinkedIn: linkedin.com/in/robertbreen](https://www.linkedin.com/in/robertbreen)"
          },
          "typeVersion": 1
        }
      ],
      "pinData": {},
      "connections": {
        "Filter": {
          "main": [
            [
              {
                "node": "Check if spend over $350",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Count bad days": {
          "main": [
            [
              {
                "node": "Organize fields into table",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Google Sheets1": {
          "main": [
            [
              {
                "node": "Merge on Channel Field",
                "type": "main",
                "index": 1
              }
            ]
          ]
        },
        "Start Workflow": {
          "main": [
            [
              {
                "node": "Sample Marketing Data",
                "type": "main",
                "index": 0
              },
              {
                "node": "Google Sheets1",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Count good days": {
          "main": [
            [
              {
                "node": "Organize second data into table",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model": {
          "ai_languageModel": [
            [
              {
                "node": "AI Agent - Summarize Leader Performance",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Sample Marketing Data": {
          "main": [
            [
              {
                "node": "Merge on Channel Field",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Merge on Channel Field": {
          "main": [
            [
              {
                "node": "Filter",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Check if spend over $350": {
          "main": [
            [
              {
                "node": "Count bad days",
                "type": "main",
                "index": 0
              }
            ],
            [
              {
                "node": "Count good days",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Structured Output Parser": {
          "ai_outputParser": [
            [
              {
                "node": "AI Agent - Summarize Leader Performance",
                "type": "ai_outputParser",
                "index": 0
              }
            ]
          ]
        },
        "Organize fields into table": {
          "main": [
            [
              {
                "node": "Append datasources together",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Append datasources together": {
          "main": [
            [
              {
                "node": "Convert table names and columns into single text for agent",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Organize second data into table": {
          "main": [
            [
              {
                "node": "Append datasources together",
                "type": "main",
                "index": 1
              }
            ]
          ]
        },
        "AI Agent - Summarize Leader Performance": {
          "main": [
            []
          ]
        },
        "Convert table names and columns into single text for agent": {
          "main": [
            [
              {
                "node": "AI Agent - Summarize Leader Performance",
                "type": "main",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
      "nodeCount": 21,
      "nodeTypes": {
        "n8n-nodes-base.if": {
          "count": 1
        },
        "n8n-nodes-base.set": {
          "count": 2
        },
        "n8n-nodes-base.code": {
          "count": 1
        },
        "n8n-nodes-base.merge": {
          "count": 2
        },
        "n8n-nodes-base.filter": {
          "count": 1
        },
        "n8n-nodes-base.summarize": {
          "count": 2
        },
        "n8n-nodes-base.stickyNote": {
          "count": 6
        },
        "n8n-nodes-base.googleSheets": {
          "count": 2
        },
        "n8n-nodes-base.manualTrigger": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.agent": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.lmChatOpenAi": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.outputParserStructured": {
          "count": 1
        }
      }
    },
    "status": "published",
    "user": {
      "name": "Robert Breen",
      "username": "rbreen",
      "bio": "Professional services consultant with over 10 years of experience solving complex business problems across industries. I specialize in n8n and process automation—designing custom workflows that integrate tools like Google Calendar, Airtable, GPT, and internal systems. Whether you need to automate scheduling, sync data, or streamline operations, I build solutions that save time and drive results.",
      "verified": true,
      "links": [
        "https://ynteractive.com/"
      ],
      "avatar": "https://gravatar.com/avatar/15bb5ad97bad47ca2079e1fa123a8287000c72c86498c90043f70ec2adab05f3?r=pg&d=retro&size=200"
    },
    "nodes": [
      {
        "id": 18,
        "icon": "file:googleSheets.svg",
        "name": "n8n-nodes-base.googleSheets",
        "codex": {
          "data": {
            "alias": [
              "CSV",
              "Sheet",
              "Spreadsheet",
              "GS"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/",
                  "icon": "❤️",
                  "label": "Love at first sight: Ricardo’s n8n journey"
                },
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
                  "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
                  "icon": "🧾",
                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and 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"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
                  "url": "https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/",
                  "icon": "📈",
                  "label": "Migrating Community Metrics to Orbit using n8n"
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
                  "url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/",
                  "icon": " 🖥️",
                  "label": "Hey founders! Your business doesn't need you to operate"
                },
                {
                  "url": "https://n8n.io/blog/how-honest-burgers-use-automation-to-save-100k-per-year/",
                  "icon": "🍔",
                  "label": "How Honest Burgers Use Automation to Save $100k per year"
                },
                {
                  "url": "https://n8n.io/blog/how-a-digital-strategist-uses-n8n-for-online-marketing/",
                  "icon": "💻",
                  "label": "How a digital strategist uses n8n for online marketing"
                },
                {
                  "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/",
                  "icon": "🧠",
                  "label": "Why this Product Manager loves workflow automation with n8n"
                },
                {
                  "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/",
                  "icon": "🙌",
                  "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n "
                },
                {
                  "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/",
                  "icon": "📈",
                  "label": "How a Membership Development Manager automates his work and investments"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
                }
              ]
            },
            "categories": [
              "Data & Storage",
              "Productivity"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"input\",\"output\"]",
        "defaults": {
          "name": "Google Sheets"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Google Sheets",
        "typeVersion": 5,
        "nodeCategories": [
          {
            "id": 3,
            "name": "Data & Storage"
          },
          {
            "id": 4,
            "name": "Productivity"
          }
        ]
      },
      {
        "id": 20,
        "icon": "fa:map-signs",
        "name": "n8n-nodes-base.if",
        "codex": {
          "data": {
            "alias": [
              "Router",
              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
            "details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.",
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/",
                  "icon": "🏭",
                  "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide"
                },
                {
                  "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
                  "icon": "☀️",
                  "label": "2021: The Year to Automate the New You with n8n"
                },
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
                  "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/",
                  "icon": "🤬",
                  "label": "Create a toxic language detector for Telegram in 4 step"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
                  "url": "https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/",
                  "icon": "🔗",
                  "label": "How to build a low-code, self-hosted URL shortener in 3 steps"
                },
                {
                  "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/",
                  "icon": "⚙️",
                  "label": "Automate your data processing pipeline in 9 steps"
                },
                {
                  "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
                  "icon": "👥",
                  "label": "How to get started with CRM automation (with 3 no-code workflow ideas"
                },
                {
                  "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/",
                  "icon": "⚡️",
                  "label": "5 tasks you can automate with the new Notion API "
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
                  "url": "https://n8n.io/blog/automation-for-maintainers-of-open-source-projects/",
                  "icon": "🏷️",
                  "label": "How to automatically manage contributions to open-source projects"
                },
                {
                  "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/",
                  "icon": " 🕸️",
                  "label": "How uProc scraped a multi-page website with a low-code workflow"
                },
                {
                  "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/",
                  "icon": "🤖",
                  "label": "5 workflow automations for Mattermost that we love at n8n"
                },
                {
                  "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/",
                  "icon": "🧠",
                  "label": "Why this Product Manager loves workflow automation with n8n"
                },
                {
                  "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/",
                  "icon": "🙌",
                  "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n "
                },
                {
                  "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
                  "icon": "🎡",
                  "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
                },
                {
                  "url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/",
                  "icon": "🎖",
                  "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.if/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Flow"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "If",
          "color": "#408000"
        },
        "iconData": {
          "icon": "map-signs",
          "type": "icon"
        },
        "displayName": "If",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 24,
        "icon": "file:merge.svg",
        "name": "n8n-nodes-base.merge",
        "codex": {
          "data": {
            "alias": [
              "Join",
              "Concatenate",
              "Wait"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/how-to-sync-data-between-two-systems/",
                  "icon": "🏬",
                  "label": "How to synchronize data between two systems (one-way vs. two-way sync"
                },
                {
                  "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/migrating-community-metrics-to-orbit-using-n8n/",
                  "icon": "📈",
                  "label": "Migrating Community Metrics to Orbit using n8n"
                },
                {
                  "url": "https://n8n.io/blog/build-your-own-virtual-assistant-with-n8n-a-step-by-step-guide/",
                  "icon": "👦",
                  "label": "Build your own virtual assistant with n8n: A step by step guide"
                },
                {
                  "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/",
                  "icon": "🙌",
                  "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n "
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.merge/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Flow",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Merge"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Merge",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 38,
        "icon": "fa:pen",
        "name": "n8n-nodes-base.set",
        "codex": {
          "data": {
            "alias": [
              "Set",
              "JS",
              "JSON",
              "Filter",
              "Transform",
              "Map"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/",
                  "icon": "🏭",
                  "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide"
                },
                {
                  "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
                  "icon": "☀️",
                  "label": "2021: The Year to Automate the New You 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/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
                  "icon": "🧾",
                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
                  "url": "https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/",
                  "icon": "🔗",
                  "label": "How to build a low-code, self-hosted URL shortener in 3 steps"
                },
                {
                  "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/",
                  "icon": "⚙️",
                  "label": "Automate your data processing pipeline in 9 steps"
                },
                {
                  "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
                  "icon": "👥",
                  "label": "How to get started with CRM automation (with 3 no-code workflow ideas"
                },
                {
                  "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/",
                  "icon": "⚡️",
                  "label": "5 tasks you can automate with the new Notion API "
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
                  "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/",
                  "icon": " 🕸️",
                  "label": "How uProc scraped a multi-page website with a low-code workflow"
                },
                {
                  "url": "https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/",
                  "icon": "📱",
                  "label": "Building an expense tracking app in 10 minutes"
                },
                {
                  "url": "https://n8n.io/blog/the-ultimate-guide-to-automate-your-video-collaboration-with-whereby-mattermost-and-n8n/",
                  "icon": "📹",
                  "label": "The ultimate guide to automate your video collaboration with Whereby, Mattermost, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/",
                  "icon": "🤖",
                  "label": "5 workflow automations for Mattermost that we love at n8n"
                },
                {
                  "url": "https://n8n.io/blog/learn-to-build-powerful-api-endpoints-using-webhooks/",
                  "icon": "🧰",
                  "label": "Learn to Build Powerful API Endpoints Using Webhooks"
                },
                {
                  "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/",
                  "icon": "📈",
                  "label": "How a Membership Development Manager automates his work and investments"
                },
                {
                  "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/",
                  "icon": "📈",
                  "label": "A low-code bitcoin ticker built with QuestDB and n8n.io"
                },
                {
                  "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
                  "icon": "🎡",
                  "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
                },
                {
                  "url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/",
                  "icon": "🎖",
                  "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"
                },
                {
                  "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/",
                  "icon": "🛵",
                  "label": "How Goomer automated their operations with over 200 n8n workflows"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Edit Fields"
        },
        "iconData": {
          "icon": "pen",
          "type": "icon"
        },
        "displayName": "Edit Fields (Set)",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
          "data": {
            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 838,
        "icon": "fa:mouse-pointer",
        "name": "n8n-nodes-base.manualTrigger",
        "codex": {
          "data": {
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.manualworkflowtrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "When clicking ‘Execute workflow’",
          "color": "#909298"
        },
        "iconData": {
          "icon": "mouse-pointer",
          "type": "icon"
        },
        "displayName": "Manual Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 844,
        "icon": "fa:filter",
        "name": "n8n-nodes-base.filter",
        "codex": {
          "data": {
            "alias": [
              "Router",
              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
            "details": "The Filter node can be used to filter items based on a condition. If the condition is met, the item will be passed on to the next node. If the condition is not met, the item will be omitted. Conditions can be combined together by AND(meet all conditions), or OR(meet at least one condition).",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.filter/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Flow",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Filter",
          "color": "#229eff"
        },
        "iconData": {
          "icon": "filter",
          "type": "icon"
        },
        "displayName": "Filter",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1119,
        "icon": "fa:robot",
        "name": "@n8n/n8n-nodes-langchain.agent",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "Chat",
              "Conversational",
              "Plan and Execute",
              "ReAct",
              "Tools"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "AI Agent",
          "color": "#404040"
        },
        "iconData": {
          "icon": "robot",
          "type": "icon"
        },
        "displayName": "AI Agent",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1153,
        "icon": "file:openAiLight.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenAI Chat Model"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "OpenAI Chat Model",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1179,
        "icon": "fa:code",
        "name": "@n8n/n8n-nodes-langchain.outputParserStructured",
        "codex": {
          "data": {
            "alias": [
              "json",
              "zod"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Output Parsers"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Structured Output Parser"
        },
        "iconData": {
          "icon": "code",
          "type": "icon"
        },
        "displayName": "Structured Output Parser",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1241,
        "icon": "file:summarize.svg",
        "name": "n8n-nodes-base.summarize",
        "codex": {
          "data": {
            "alias": [
              "Append",
              "Array",
              "Average",
              "Concatenate",
              "Count",
              "Group",
              "Item",
              "List",
              "Max",
              "Min",
              "Pivot",
              "Sum",
              "Summarise",
              "Summarize",
              "Transform",
              "Unique"
            ],
            "details": "",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.summarize/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Summarize"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Summarize",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 35,
        "name": "Document Extraction"
      },
      {
        "id": 49,
        "name": "AI Summarization"
      }
    ],
    "image": []
  }
}