{
  "workflow": {
    "id": 7025,
    "name": "Generate Instagram captions from hashtag analysis using Apify + GPT-4o-mini",
    "views": 543,
    "recentViews": 0,
    "totalViews": 543,
    "createdAt": "2025-08-05T20:21:06.506Z",
    "description": "This n8n workflow scrapes recent Instagram posts by hashtag and generates new, relevant caption ideas using OpenAI. It avoids making up suggestions by analyzing real-world content and surfacing common patterns.\n\n---\n\n## ✅ Use Case\n\nMarketing teams, content creators, or social media managers can:\n\n- Discover what’s trending for a specific topic\n- Automatically generate Instagram captions based on real posts\n- Understand common caption styles for a niche\n- Save time brainstorming ideas while staying on-brand\n\n---\n\n## 🧠 How It Works\n\n### 1️⃣ Manual Trigger\n\n#### 🧩 Node: `When clicking ‘Execute workflow’`\n- Manually starts the workflow for testing or single-run execution.\n\n---\n\n### 2️⃣ Define the Hashtag\n\n#### 🧩 Node: `Create Search Term`\n- Sets the value of the hashtag you'd like to scan.\n- Default is `n8n`, but you can modify it to anything.\n\n```json\n{\n  \"Search_Term\": \"yourCustomHashtag\"\n}\n```\n\n---\n\n### 3️⃣ Scrape Instagram Posts\n\n#### 🧩 Node: `Find Recent Posts`\n- **API**: [Apify Instagram Hashtag Scraper](https://console.apify.com/actors/apify/instagram-hashtag-scraper)\n- **Setup**:\n  - Visit [Apify Console](https://console.apify.com/)\n  - Create an API token\n  - In n8n, go to Credentials and add `HTTP Query Auth`\n  - Use `?token=yourTokenHere` as the query string\n\n**JSON Body:**\n```json\n{\n  \"hashtags\": [\"{{ $json.Search_Term }}\"],\n  \"resultsLimit\": 20,\n  \"resultsType\": \"posts\"\n}\n```\n\n---\n\n### 4️⃣ Extract Captions\n\n#### 🧩 Node: `Set bio and follower count`\n- Extracts just the `caption` from each post and stores it in a clean variable for the AI agent to use.\n\n---\n\n### 5️⃣ Aggregate Captions\n\n#### 🧩 Node: `Aggregate`\n- Gathers all captions into one list before processing.\n- Useful for passing a large text block into the AI.\n\n---\n\n### 6️⃣ Convert to Single Text Block\n\n#### 🧩 Node: `Convert table names and columns into single text for agent`\n- Uses a `Code` node to combine all captions into a single string for OpenAI to read:\n```javascript\nreturn [\n  {\n    json: {\n      text: items\n        .map(item =&gt; `- ${JSON.stringify(item.json)}`)\n        .join('\\n\\n'),\n    },\n  },\n];\n```\n\n---\n\n### 7️⃣ Generate Caption Ideas with AI\n\n#### 🧩 Node: `AI Agent`\n- Takes the combined post text and sends it to GPT-4o-mini.\n- Includes this system message:\n```text\nI'm looking for ideas for posts about {{ $('Create Search Term').item.json.Search_Term }}.\nHere’s the last 5 posts on Instagram about the topic. Use those to help me generate a list of relevant captions.\n\nDo not make up ideas that are not like the others in the list.\n\nOutput like this:\n{\n  \"Post Idea\": [\"Idea1\", \"Idea2\"],\n  \"Most Common Post\": [\"common post 1\", \"common post 2\"]\n}\n```\n\n---\n\n### 8️⃣ Choose Language Model\n\n#### 🧩 Node: `OpenAI Chat Model`\n- **Model**: `gpt-4o-mini`\n- **Credential**: Use your OpenAI API key.\n  - Get it from: [OpenAI API Keys](https://platform.openai.com/account/api-keys)\n  - Add it in n8n under OpenAI credentials.\n\n---\n\n### 9️⃣ Parse the AI Output\n\n#### 🧩 Node: `Structured Output Parser`\n- Parses the GPT response into structured JSON:\n```json\n{\n  \"Post Idea\": [\"Idea1\", \"Idea2\"],\n  \"Most Common Post\": [\"common post 1\", \"common post 2\"]\n}\n```\n\n---\n\n### 🔟 Split the Outputs\n\n#### 🧩 Nodes: `Split Out`, `Split Out1`\n- Separates the `Post Idea` list and `Most Common Post` list into individual items.\n\n---\n\n### 🔁 Merge for Final Output\n\n#### 🧩 Node: `Merge`\n- Combines the two split lists into one output stream.\n\n---\n\n## 👤 Need More Help?\n\n**Robert Breen**  \nAutomation Consultant | AI Workflow Designer | n8n Expert  \n📧 [robert@ynteractive.com](mailto:robert@ynteractive.com)  \n🔗 [LinkedIn](https://www.linkedin.com/in/robert-breen-29429625/)\n",
    "workflow": {
      "meta": {
        "instanceId": "efb474b59b0341d7791932605bd9ff04a6c7ed9941fdd53dc4a2e4b99a6f9439"
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      "nodes": [
        {
          "id": "2ea0c49a-6706-4272-8990-06f578c5c5a7",
          "name": "When clicking ‘Execute workflow’",
          "type": "n8n-nodes-base.manualTrigger",
          "position": [
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          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
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          "name": "AI Agent",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "position": [
            920,
            1060
          ],
          "parameters": {
            "text": "=posts: {{ $json.text }}",
            "options": {
              "systemMessage": "=I'm looking for ideas for posts about  {{ $('Create Search Term').item.json.Search_Term }}\n\nHere's the last 5 posts on instagram about the topic. Use those to help me generate a list of relevent captions to post on my instagram. \n\ndo not make up ideas that are not like the others in the list. \n\noutput like this. \n\n{\n\t\"Post Idea\": [\"Idea1\", \"Idea2\"], \n  \"Most Common Post\":  [\"common post 1\", \"common post 2\"]\n}"
            },
            "promptType": "define",
            "hasOutputParser": true
          },
          "typeVersion": 2
        },
        {
          "id": "47f4b1cb-9361-4aff-a439-2c8979fe93f4",
          "name": "OpenAI Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            960,
            1280
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          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
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          "name": "Structured Output Parser",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
            1140,
            1280
          ],
          "parameters": {
            "jsonSchemaExample": "{\n\t\"Post Idea\": [\"Idea1\", \"Idea2\"], \n  \"Most Common Post\":  [\"common post 1\", \"common post 2\"]\n}"
          },
          "typeVersion": 1.2
        },
        {
          "id": "00910de9-80ba-41c9-8200-81fcb6d15f45",
          "name": "Find Recent Posts",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            140,
            1120
          ],
          "parameters": {
            "url": "=https://api.apify.com/v2/acts/apify~instagram-hashtag-scraper/run-sync-get-dataset-items\n",
            "method": "POST",
            "options": {},
            "jsonBody": "={\n    \"hashtags\": [\n        \"{{ $json.Search_Term }}\"\n    ],\n    \"resultsLimit\": 20,\n    \"resultsType\": \"posts\"\n}",
            "sendBody": true,
            "specifyBody": "json",
            "authentication": "genericCredentialType",
            "genericAuthType": "httpQueryAuth"
          },
          "credentials": {
            "httpQueryAuth": {
              "id": "credential-id",
              "name": "httpQueryAuth Credential"
            }
          },
          "typeVersion": 4.2
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          "name": "Create Search Term",
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          "position": [
            -140,
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          "parameters": {
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            "assignments": {
              "assignments": [
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                  "name": "Search_Term",
                  "type": "string",
                  "value": "n8n"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "33a01e12-8820-4184-92fb-6682470940b1",
          "name": "Set bio and follower count",
          "type": "n8n-nodes-base.set",
          "position": [
            440,
            920
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "ac638d8c-fa83-4cf6-92af-e0489d7349dd",
                  "name": "caption",
                  "type": "string",
                  "value": "={{ $json.caption }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "7275daae-bf7a-4c06-928a-16f0bfdc0a3b",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -400,
            100
          ],
          "parameters": {
            "color": 3,
            "width": 780,
            "height": 1380,
            "content": "### 1️⃣ Manual Trigger\n\n#### 🧩 Node: `When clicking ‘Execute workflow’`\n- Manually starts the workflow for testing or single-run execution.\n\n---\n\n### 2️⃣ Define the Hashtag\n\n#### 🧩 Node: `Create Search Term`\n- Sets the value of the hashtag you'd like to scan.\n- Default is `n8n`, but you can modify it to anything.\n\n```json\n{\n  \"Search_Term\": \"yourCustomHashtag\"\n}\n```\n\n---\n\n### 3️⃣ Scrape Instagram Posts\n\n#### 🧩 Node: `Find Recent Posts`\n- **API**: [Apify Instagram Hashtag Scraper](https://console.apify.com/actors/apify/instagram-hashtag-scraper)\n- **Setup**:\n  - Visit [Apify Console](https://console.apify.com/)\n  - Create an API token\n  - In n8n, go to Credentials and add `HTTP Query Auth`\n  - Use `?token=yourTokenHere` as the query string\n\n**JSON Body:**\n```json\n{\n  \"hashtags\": [\"{{ $json.Search_Term }}\"],\n  \"resultsLimit\": 20,\n  \"resultsType\": \"posts\"\n}\n```\n\n---\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "09a04fbd-a16b-4166-a623-555770c81605",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            400,
            100
          ],
          "parameters": {
            "color": 4,
            "width": 440,
            "height": 1380,
            "content": "\n### 4️⃣ Extract Captions\n\n#### 🧩 Node: `Set bio and follower count`\n- Extracts just the `caption` from each post and stores it in a clean variable for the AI agent to use.\n\n---\n\n### 5️⃣ Aggregate Captions\n\n#### 🧩 Node: `Aggregate`\n- Gathers all captions into one list before processing.\n- Useful for passing a large text block into the AI.\n\n---\n\n### 6️⃣ Convert to Single Text Block\n\n#### 🧩 Node: `Convert table names and columns into single text for agent`\n- Uses a `Code` node to combine all captions into a single string for OpenAI to read:\n```javascript\nreturn [\n  {\n    json: {\n      text: items\n        .map(item => `- ${JSON.stringify(item.json)}`)\n        .join('\\n\\n'),\n    },\n  },\n];\n```\n\n---"
          },
          "typeVersion": 1
        },
        {
          "id": "6a88d748-9563-49b8-9398-9d2032413f94",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            860,
            100
          ],
          "parameters": {
            "color": 6,
            "width": 420,
            "height": 1380,
            "content": "### 7️⃣ Generate Caption Ideas with AI\n\n#### 🧩 Node: `AI Agent`\n- Takes the combined post text and sends it to GPT-4o-mini.\n- Includes this system message:\n```text\nI'm looking for ideas for posts about {{ $('Create Search Term').item.json.Search_Term }}.\nHere’s the last 5 posts on Instagram about the topic. Use those to help me generate a list of relevant captions.\n\nDo not make up ideas that are not like the others in the list.\n\nOutput like this:\n{\n  \"Post Idea\": [\"Idea1\", \"Idea2\"],\n  \"Most Common Post\": [\"common post 1\", \"common post 2\"]\n}\n```\n\n---\n\n### 8️⃣ Choose Language Model\n\n#### 🧩 Node: `OpenAI Chat Model`\n- **Model**: `gpt-4o-mini`\n- **Credential**: Use your OpenAI API key.\n  - Get it from: [OpenAI API Keys](https://platform.openai.com/account/api-keys)\n  - Add it in n8n under OpenAI credentials.\n\n---\n\n### 9️⃣ Parse the AI Output\n\n#### 🧩 Node: `Structured Output Parser`\n- Parses the GPT response into structured JSON:\n```json\n{\n  \"Post Idea\": [\"Idea1\", \"Idea2\"],\n  \"Most Common Post\": [\"common post 1\", \"common post 2\"]\n}\n```\n\n---\n"
          },
          "typeVersion": 1
        },
        {
          "id": "812c1007-ba56-4934-b88f-fcfe1f0bcf01",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -400,
            -80
          ],
          "parameters": {
            "width": 2320,
            "content": "## 📬 Need More Help?\n\n**👤 Robert Breen**  \nAutomation Consultant | AI Workflow Designer | n8n Expert  \n📧 [robert@ynteractive.com](mailto:robert@ynteractive.com)  \n🔗 [LinkedIn](https://www.linkedin.com/in/robert-breen-29429625/)\n"
          },
          "typeVersion": 1
        },
        {
          "id": "5fee94d6-f796-4785-a806-07714c2f0d64",
          "name": "Aggregate",
          "type": "n8n-nodes-base.aggregate",
          "position": [
            600,
            1100
          ],
          "parameters": {
            "options": {},
            "fieldsToAggregate": {
              "fieldToAggregate": [
                {
                  "fieldToAggregate": "caption"
                }
              ]
            }
          },
          "typeVersion": 1
        },
        {
          "id": "0381aa63-dfa9-4e94-9991-6b266325d8ad",
          "name": "Convert table names and columns into single text for agent",
          "type": "n8n-nodes-base.code",
          "position": [
            700,
            880
          ],
          "parameters": {
            "jsCode": "return [\n  {\n    json: {\n      text: items\n        .map(item => `- ${JSON.stringify(item.json)}`)\n        .join('\\n\\n'),\n    },\n  },\n];\n"
          },
          "typeVersion": 2
        },
        {
          "id": "1d2af5fa-b9ef-401d-8b29-b0376d1317b4",
          "name": "Split Out",
          "type": "n8n-nodes-base.splitOut",
          "position": [
            1400,
            1020
          ],
          "parameters": {
            "options": {},
            "fieldToSplitOut": "output['Post Idea']"
          },
          "typeVersion": 1
        },
        {
          "id": "12b8c5e9-3448-4459-ad9b-d6e1af7a7c84",
          "name": "Split Out1",
          "type": "n8n-nodes-base.splitOut",
          "position": [
            1420,
            1260
          ],
          "parameters": {
            "options": {},
            "fieldToSplitOut": "output['Most Common Post']"
          },
          "typeVersion": 1
        },
        {
          "id": "73fd8217-6eae-4ce5-a2b5-f0325ea9154e",
          "name": "Merge",
          "type": "n8n-nodes-base.merge",
          "position": [
            1660,
            1140
          ],
          "parameters": {
            "mode": "combine",
            "options": {},
            "combineBy": "combineByPosition"
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        {
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          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1300,
            100
          ],
          "parameters": {
            "width": 620,
            "height": 1380,
            "content": "### 🔟 Split the Outputs\n\n#### 🧩 Nodes: `Split Out`, `Split Out1`\n- Separates the `Post Idea` list and `Most Common Post` list into individual items.\n\n---\n\n### 🔁 Merge for Final Output\n\n#### 🧩 Node: `Merge`\n- Combines the two split lists into one output stream.\n\n---"
          },
          "typeVersion": 1
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      "pinData": {
        "AI Agent": [
          {
            "output": {
              "Post Idea": [
                "What are the top 3 automations you've implemented with n8n? Share your experiences!",
                "Ever wondered how n8n can streamline your daily tasks? Let’s discuss the best workflows!",
                "How can n8n transform your business processes? Share your thoughts!",
                "Join our n8n community and learn from others’ automation journeys! What tips do you have to share?",
                "Post about how you used n8n to solve a particular challenge—encourage followers to share their experiences!"
              ],
              "Most Common Post": [
                "Automate your business processes with n8n and focus on what truly matters!",
                "Join our free webinar on using n8n for efficient workflow automation!",
                "Discover how n8n connects different tools to save you time!",
                "Share your favorite tools and how n8n helps you integrate them!",
                "Tag a friend who needs to explore automation with n8n!"
              ]
            }
          }
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      },
      "connections": {
        "AI Agent": {
          "main": [
            [
              {
                "node": "Split Out",
                "type": "main",
                "index": 0
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              {
                "node": "Split Out1",
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        "Aggregate": {
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                "node": "Merge",
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        "Find Recent Posts": {
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                "node": "Set bio and follower count",
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        "OpenAI Chat Model": {
          "ai_languageModel": [
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              {
                "node": "AI Agent",
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        "Create Search Term": {
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    "lastUpdatedBy": 29,
    "workflowInfo": {
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    "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,
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              "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": 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": 1236,
        "icon": "file:aggregate.svg",
        "name": "n8n-nodes-base.aggregate",
        "codex": {
          "data": {
            "alias": [
              "Aggregate",
              "Combine",
              "Flatten",
              "Transform",
              "Array",
              "List",
              "Item"
            ],
            "details": "",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.aggregate/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Aggregate"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Aggregate",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1239,
        "icon": "file:splitOut.svg",
        "name": "n8n-nodes-base.splitOut",
        "codex": {
          "data": {
            "alias": [
              "Split",
              "Nested",
              "Transform",
              "Array",
              "List",
              "Item"
            ],
            "details": "",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.splitout/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Split Out"
        },
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