{
  "workflow": {
    "id": 5953,
    "name": "Automate email campaign analysis & smart follow-ups with Bright Data & OpenAI",
    "views": 4771,
    "recentViews": 1,
    "totalViews": 4771,
    "createdAt": "2025-07-13T19:00:30.213Z",
    "description": "*This workflow contains community nodes that are only compatible with the self-hosted version of n8n.*\n\nThis workflow automatically tracks email campaign performance metrics and triggers smart follow-up actions based on engagement data. It saves you time by eliminating the need to manually monitor campaign reports and provides intelligent re-engagement strategies for improving email marketing ROI.\n\n## Overview\n\nThis workflow automatically scrapes email service provider (ESP) reports to extract campaign performance metrics like open rates, click-through rates, and bounce rates. It uses AI to analyze the data and automatically sends targeted follow-up emails to re-engage subscribers who opened but didn't click, maximizing campaign effectiveness.\n\n## Tools Used\n\n- **n8n**: The automation platform that orchestrates the workflow\n- **Bright Data**: For scraping ESP campaign reports without being blocked\n- **OpenAI**: AI agent for intelligent campaign data analysis and decision making\n- **Gmail**: For sending automated follow-up engagement emails\n\n## How to Install\n\n1. **Import the Workflow**: Download the .json file and import it into your n8n instance\n2. **Configure Bright Data**: Add your Bright Data credentials to the MCP Client node\n3. **Set Up OpenAI**: Configure your OpenAI API credentials\n4. **Configure Gmail**: Connect your Gmail account for sending follow-up emails\n5. **Customize**: Set ESP report URLs and define engagement thresholds for triggering follow-ups\n\n## Use Cases\n\n- **Email Marketing**: Automatically optimize campaign performance with smart follow-ups\n- **Marketing Automation**: Trigger re-engagement campaigns based on behavior data\n- **Performance Tracking**: Monitor email metrics without manual ESP login\n- **Customer Retention**: Re-engage subscribers who showed interest but didn't convert\n\n## Connect with Me\n\n- **Website**: https://www.nofluff.online\n- **YouTube**: https://www.youtube.com/@YaronBeen/videos\n- **LinkedIn**: https://www.linkedin.com/in/yaronbeen/\n- **Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission)\n\n#n8n #automation #emailmarketing #campaigntracking #brightdata #webscraping #emailautomation #n8nworkflow #workflow #nocode #emailcampaigns #marketingautomation #emailperformance #campaignanalysis #emailmetrics #reengagement #marketingdata #emailoptimization #campaignmonitoring #emailanalytics #digitalmarketing #performancetracking #emailstrategy #conversionoptimization #marketinganalytics #emailroi #campaigninsights #emailengagement #marketingefficiency #automatedemail",
    "workflow": {
      "id": "P6LeLqxzbkO3FiPE",
      "meta": {
        "instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480",
        "templateCredsSetupCompleted": true
      },
      "name": "10 Track Email Campaign Performance",
      "tags": [],
      "nodes": [
        {
          "id": "75f14163-7400-49fe-aeb9-1f983dfe0c5e",
          "name": "⏰ Daily Campaign Check Trigger",
          "type": "n8n-nodes-base.scheduleTrigger",
          "position": [
            -60,
            0
          ],
          "parameters": {
            "rule": {
              "interval": [
                {
                  "triggerAtHour": 9
                }
              ]
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "3d85c239-8871-48ce-aecc-581a4a4be75c",
          "name": "✏️ Set Campaign Input Fields",
          "type": "n8n-nodes-base.set",
          "position": [
            160,
            0
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "04df454e-d477-4dd4-a029-2c97cfd1bf8f",
                  "name": "url",
                  "type": "string",
                  "value": "=https://www.mailchimp.com/campaigns/123/report"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "197f6678-606d-4e9d-91b9-2ed48fe6799c",
          "name": "🤖 Agent: Scrape & Analyze Campaign Performance",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "position": [
            520,
            0
          ],
          "parameters": {
            "options": {},
            "promptType": "define",
            "hasOutputParser": true
          },
          "typeVersion": 2
        },
        {
          "id": "0fa379ec-3e22-4f69-97dc-c45e244121c6",
          "name": "🧠 LLM: Summarize & Format",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            500,
            300
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "d1a27651-f1b3-412e-8452-563eba14c7d0",
          "name": "🌐 Bright Data MCP: Scrape Report",
          "type": "n8n-nodes-mcp.mcpClientTool",
          "position": [
            680,
            300
          ],
          "parameters": {
            "toolName": "scrape_as_markdown",
            "operation": "executeTool",
            "toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}"
          },
          "credentials": {
            "mcpClientApi": {
              "id": "credential-id",
              "name": "mcpClientApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "fb814c29-e412-4332-ae43-b5f8ce4f0783",
          "name": "🔎 IF: Open ≥30% & CTR <10%?",
          "type": "n8n-nodes-base.if",
          "position": [
            1100,
            0
          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "version": 2,
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
              },
              "combinator": "and",
              "conditions": [
                {
                  "id": "d5c41a60-cadf-47a6-9685-9bead865346d",
                  "operator": {
                    "type": "number",
                    "operation": "gte"
                  },
                  "leftValue": "={{ $json.open_rate }}",
                  "rightValue": 20
                },
                {
                  "id": "7a251b0b-a122-418d-8b0c-6714ebfa6018",
                  "operator": {
                    "type": "number",
                    "operation": "lt"
                  },
                  "leftValue": "={{ $json.ctr }}",
                  "rightValue": 130
                }
              ]
            }
          },
          "typeVersion": 2.2
        },
        {
          "id": "b77a5854-6882-47ac-8dba-9af0bdcc0e1f",
          "name": "📧 Send Follow-Up Engagement Email",
          "type": "n8n-nodes-base.gmail",
          "position": [
            1340,
            -100
          ],
          "webhookId": "0fd0b382-f827-4262-a3de-4df28f33fb10",
          "parameters": {
            "sendTo": "user@example.com",
            "message": "Hi [First Name],  \nWe noticed you opened our recent email — thank you for staying connected! \n🙌 But we think you might have missed the best part…  \n👉 [Big Benefit or Offer — e.g., “Get 20% off your next order — today only!”]  \nWe don’t want you to miss out — just click below and grab your exclusive [deal / resource / upgrade].  \n[CTA Button: “Claim Your Offer”]  Still not sure? We’re here to help if you have any questions. Just hit reply — we love hearing from you!  Talk soon, [Your Name] [Your Company]",
            "options": {},
            "subject": "Did you miss this? Here’s something special for you!",
            "emailType": "text"
          },
          "credentials": {
            "gmailOAuth2": {
              "id": "credential-id",
              "name": "gmailOAuth2 Credential"
            }
          },
          "typeVersion": 2.1
        },
        {
          "id": "1259660d-e04c-4708-9319-22749360bdc3",
          "name": "🚫 Skip — No Action Needed",
          "type": "n8n-nodes-base.noOp",
          "position": [
            1340,
            100
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "6e673900-d27b-4aba-be1d-8d9149fa6ceb",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -120,
            -1180
          ],
          "parameters": {
            "color": 6,
            "width": 420,
            "height": 1360,
            "content": "## 🎯 **🔹 SECTION 1: Schedule & Prepare Inputs**\n\n### ✅ **Nodes in this Section**\n\n| Node | Name                             |\n| ---- | -------------------------------- |\n| ⏰    | **Daily Campaign Check Trigger** |\n| ✏️   | **Set Campaign Input Fields**    |\n\n---\n\n### 💡 **What Happens Here**\n\n* **⏰ Daily Campaign Check Trigger:**\n  This node automatically **starts the workflow on a schedule** — for example, every morning at 9 AM.\n  It makes sure you **don’t have to run it manually** every time. The goal is to check your email campaign performance **regularly and consistently**.\n\n* **✏️ Set Campaign Input Fields:**\n  This node **defines any input values** that your Agent needs.\n  For example:\n\n  * Campaign ID\n  * ESP URL\n  * Date range\n  * Any dynamic variables\n\n  It acts like **filling in a form** that the rest of the workflow will use.\n  You can **edit it easily** without changing the whole workflow.\n\n---\n\n### 🎯 **Why It’s Important**\n\n✅ Automates the whole thing on autopilot.\n✅ Ensures the Agent always has the **right data**.\n✅ Makes the workflow easy to maintain for non-tech users — just change a value in **Edit Fields**, done!\n\n---\n\n---\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "d722faa7-9304-4145-9e22-f90b71b02053",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            440,
            -1300
          ],
          "parameters": {
            "color": 3,
            "width": 420,
            "height": 1480,
            "content": "## 🤖 **🔹 SECTION 2: Scrape & Analyze with AI Agent**\n\n### ✅ **Nodes in this Section**\n\n| Node | Name                                             |\n| ---- | ------------------------------------------------ |\n| 🤖   | **Agent: Scrape & Analyze Campaign Performance** |\n| 🧠   | **LLM: Summarize & Format**                      |\n| 🌐   | **Bright Data MCP: Scrape Report**               |\n| 🗂️  | **Parse Scrape Output**                          |\n\n---\n\n### 💡 **What Happens Here**\n\n* **🤖 Agent: Scrape & Analyze Campaign Performance**\n  This is your **AI Agent** — it does the smart part:\n\n  * Talks to the **Bright Data MCP Tool** to scrape the ESP report page.\n  * Uses an **LLM** (OpenAI Chat Model) to process the scraped data.\n  * Passes the result to an **Output Parser** to turn messy text into clean, structured data.\n\n* **🌐 Bright Data MCP: Scrape Report**\n  Bright Data logs in, navigates to your campaign report page, and **scrapes live open/click numbers**.\n\n* **🧠 LLM: Summarize & Format**\n  The Chat Model turns raw scraped info into easy-to-read Markdown or JSON.\n  This is like having a mini data analyst!\n\n* **🗂️ Parse Scrape Output**\n  This node extracts the final numbers (open rate, CTR, bounces) so the logic can understand them.\n\n---\n\n### 🎯 **Why It’s Important**\n\n✅ You don’t have to log in manually to get reports.\n✅ The AI cleans up messy scraped data.\n✅ Makes follow-up decisions possible without human effort.\n✅ Works for **any ESP** — if the layout changes, just adjust the scraper.\n\n---\n\n---\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "031503cb-3fa4-46b6-9b57-529b10553ec2",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1060,
            -840
          ],
          "parameters": {
            "color": 5,
            "width": 420,
            "height": 1100,
            "content": "## 📈 **🔹 SECTION 3: Decide & Act Automatically**\n\n### ✅ **Nodes in this Section**\n\n| Node | Name                                |\n| ---- | ----------------------------------- |\n| 🔎   | **IF: Open ≥30% & CTR <10%?**       |\n| 📧   | **Send Follow-Up Engagement Email** |\n| 🚫   | **Skip — No Action Needed**         |\n\n---\n\n### 💡 **What Happens Here**\n\n* **🔎 IF: Open ≥30% & CTR <10%?**\n  This node checks:\n\n  * Is the open rate good? (≥30%)\n  * But is the click-through rate low? (<10%)\n    If **true**, it triggers follow-up to re-engage the audience.\n\n* **📧 Send Follow-Up Engagement Email**\n  If the condition is true, this node sends a **personalized follow-up email** automatically.\n  For example: “Hey, you opened but didn’t click — here’s your special offer!”\n\n* **🚫 Skip — No Action Needed**\n  If the condition is **false** (e.g. CTR is healthy), do nothing. The workflow ends safely.\n\n---\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "4502ee4c-219e-4495-b4ff-c8b3beec55e8",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1560,
            -920
          ],
          "parameters": {
            "color": 7,
            "width": 380,
            "height": 240,
            "content": "## I’ll receive a tiny commission if you join Bright Data through this link—thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25"
          },
          "typeVersion": 1
        },
        {
          "id": "07751162-2ade-4591-93bc-a3dc2414553d",
          "name": "Sticky Note9",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1980,
            -1180
          ],
          "parameters": {
            "color": 4,
            "width": 1300,
            "height": 320,
            "content": "=======================================\n            WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n    Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n   - YouTube: https://www.youtube.com/@YaronBeen/videos\n   - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
          },
          "typeVersion": 1
        },
        {
          "id": "6c9e1f76-b6d0-4915-8f05-ada92abfcd89",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1980,
            -840
          ],
          "parameters": {
            "color": 4,
            "width": 1289,
            "height": 3118,
            "content": "# Dynamic Email Re-Engagement Automation\n---\n\n## 🎯 **🔹 SECTION 1: Schedule & Prepare Inputs**\n\n### ✅ **Nodes in this Section**\n\n| Node | Name                             |\n| ---- | -------------------------------- |\n| ⏰    | **Daily Campaign Check Trigger** |\n| ✏️   | **Set Campaign Input Fields**    |\n\n---\n\n### 💡 **What Happens Here**\n\n* **⏰ Daily Campaign Check Trigger:**\n  This node automatically **starts the workflow on a schedule** — for example, every morning at 9 AM.\n  It makes sure you **don’t have to run it manually** every time. The goal is to check your email campaign performance **regularly and consistently**.\n\n* **✏️ Set Campaign Input Fields:**\n  This node **defines any input values** that your Agent needs.\n  For example:\n\n  * Campaign ID\n  * ESP URL\n  * Date range\n  * Any dynamic variables\n\n  It acts like **filling in a form** that the rest of the workflow will use.\n  You can **edit it easily** without changing the whole workflow.\n\n---\n\n### 🎯 **Why It’s Important**\n\n✅ Automates the whole thing on autopilot.\n✅ Ensures the Agent always has the **right data**.\n✅ Makes the workflow easy to maintain for non-tech users — just change a value in **Edit Fields**, done!\n\n---\n\n---\n\n## 🤖 **🔹 SECTION 2: Scrape & Analyze with AI Agent**\n\n### ✅ **Nodes in this Section**\n\n| Node | Name                                             |\n| ---- | ------------------------------------------------ |\n| 🤖   | **Agent: Scrape & Analyze Campaign Performance** |\n| 🧠   | **LLM: Summarize & Format**                      |\n| 🌐   | **Bright Data MCP: Scrape Report**               |\n| 🗂️  | **Parse Scrape Output**                          |\n\n---\n\n### 💡 **What Happens Here**\n\n* **🤖 Agent: Scrape & Analyze Campaign Performance**\n  This is your **AI Agent** — it does the smart part:\n\n  * Talks to the **Bright Data MCP Tool** to scrape the ESP report page.\n  * Uses an **LLM** (OpenAI Chat Model) to process the scraped data.\n  * Passes the result to an **Output Parser** to turn messy text into clean, structured data.\n\n* **🌐 Bright Data MCP: Scrape Report**\n  Bright Data logs in, navigates to your campaign report page, and **scrapes live open/click numbers**.\n\n* **🧠 LLM: Summarize & Format**\n  The Chat Model turns raw scraped info into easy-to-read Markdown or JSON.\n  This is like having a mini data analyst!\n\n* **🗂️ Parse Scrape Output**\n  This node extracts the final numbers (open rate, CTR, bounces) so the logic can understand them.\n\n---\n\n### 🎯 **Why It’s Important**\n\n✅ You don’t have to log in manually to get reports.\n✅ The AI cleans up messy scraped data.\n✅ Makes follow-up decisions possible without human effort.\n✅ Works for **any ESP** — if the layout changes, just adjust the scraper.\n\n---\n\n---\n\n## 📈 **🔹 SECTION 3: Decide & Act Automatically**\n\n### ✅ **Nodes in this Section**\n\n| Node | Name                                |\n| ---- | ----------------------------------- |\n| 🔎   | **IF: Open ≥30% & CTR <10%?**       |\n| 📧   | **Send Follow-Up Engagement Email** |\n| 🚫   | **Skip — No Action Needed**         |\n\n---\n\n### 💡 **What Happens Here**\n\n* **🔎 IF: Open ≥30% & CTR <10%?**\n  This node checks:\n\n  * Is the open rate good? (≥30%)\n  * But is the click-through rate low? (<10%)\n    If **true**, it triggers follow-up to re-engage the audience.\n\n* **📧 Send Follow-Up Engagement Email**\n  If the condition is true, this node sends a **personalized follow-up email** automatically.\n  For example: “Hey, you opened but didn’t click — here’s your special offer!”\n\n* **🚫 Skip — No Action Needed**\n  If the condition is **false** (e.g. CTR is healthy), do nothing. The workflow ends safely.\n\n---\n\n### 🎯 **Why It’s Important**\n\n✅ Takes action **only when needed**, saving time.\n✅ Boosts click rates without extra manual work.\n✅ Protects your audience from spam by not sending unnecessary follow-ups.\n\n---\n\n## 🌟 **✨ Why This Whole Flow is Powerful**\n\n* Runs daily — **no manual checks**.\n* Scrapes live data — **no API? No problem!**\n* Uses AI to process messy data — **no coding required!**\n* Makes smart decisions — **no human micromanagement**.\n* Sends the right email to the right audience at the right time — **better engagement, better ROI!**\n\n---\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "237aeaf4-64f1-411b-a013-9209f46fa320",
          "name": "Auto-fixing Output Parser",
          "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
          "position": [
            840,
            300
          ],
          "parameters": {
            "options": {}
          },
          "typeVersion": 1
        },
        {
          "id": "f86d1724-c0c3-4820-9699-44f2d4101054",
          "name": "OpenAI Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            800,
            560
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "41e646ea-effa-40c0-8513-7fecd83762ee",
          "name": "Structured Output Parser",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
            980,
            560
          ],
          "parameters": {
            "jsonSchemaExample": "{\n  \"campaign_name\": \"Summer Promo Blast\",\n  \"campaign_id\": \"123456789\",\n  \"date_sent\": \"2025-06-29\",\n  \"unique_opens\": 1230,\n  \"total_opens\": 1590,\n  \"open_rate\": 47,\n  \"unique_clicks\": 530,\n  \"total_clicks\": 670,\n  \"ctr\": 20,\n  \"soft_bounces\": 25,\n  \"hard_bounces\": 10,\n  \"bounce_rate\": 1.8,\n  \"unsubscribed\": 15,\n  \"unsubscribe_rate\": 0.6\n}\n"
          },
          "typeVersion": 1.2
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "226f422b-33c6-4834-8653-5f7a501d9955",
      "connections": {
        "OpenAI Chat Model": {
          "ai_languageModel": [
            [
              {
                "node": "Auto-fixing Output Parser",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Structured Output Parser": {
          "ai_outputParser": [
            [
              {
                "node": "Auto-fixing Output Parser",
                "type": "ai_outputParser",
                "index": 0
              }
            ]
          ]
        },
        "Auto-fixing Output Parser": {
          "ai_outputParser": [
            [
              {
                "node": "🤖 Agent: Scrape & Analyze Campaign Performance",
                "type": "ai_outputParser",
                "index": 0
              }
            ]
          ]
        },
        "🧠 LLM: Summarize & Format": {
          "ai_languageModel": [
            [
              {
                "node": "🤖 Agent: Scrape & Analyze Campaign Performance",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "⏰ Daily Campaign Check Trigger": {
          "main": [
            [
              {
                "node": "✏️ Set Campaign Input Fields",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "✏️ Set Campaign Input Fields": {
          "main": [
            [
              {
                "node": "🤖 Agent: Scrape & Analyze Campaign Performance",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "🔎 IF: Open ≥30% & CTR <10%?": {
          "main": [
            [
              {
                "node": "📧 Send Follow-Up Engagement Email",
                "type": "main",
                "index": 0
              }
            ],
            [
              {
                "node": "🚫 Skip — No Action Needed",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "🌐 Bright Data MCP: Scrape Report": {
          "ai_tool": [
            [
              {
                "node": "🤖 Agent: Scrape & Analyze Campaign Performance",
                "type": "ai_tool",
                "index": 0
              }
            ]
          ]
        },
        "🤖 Agent: Scrape & Analyze Campaign Performance": {
          "main": [
            [
              {
                "node": "🔎 IF: Open ≥30% & CTR <10%?",
                "type": "main",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 62,
    "workflowInfo": {
      "nodeCount": 17,
      "nodeTypes": {
        "n8n-nodes-base.if": {
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        },
        "n8n-nodes-base.set": {
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        },
        "n8n-nodes-base.noOp": {
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        },
        "n8n-nodes-base.gmail": {
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        },
        "n8n-nodes-base.stickyNote": {
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        },
        "n8n-nodes-mcp.mcpClientTool": {
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        },
        "@n8n/n8n-nodes-langchain.agent": {
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        },
        "n8n-nodes-base.scheduleTrigger": {
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        },
        "@n8n/n8n-nodes-langchain.lmChatOpenAi": {
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        },
        "@n8n/n8n-nodes-langchain.outputParserAutofixing": {
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        "@n8n/n8n-nodes-langchain.outputParserStructured": {
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