{
  "workflow": {
    "id": 7155,
    "name": "Beginner lead finder using SerpAPI search",
    "views": 1331,
    "recentViews": 1,
    "totalViews": 1331,
    "createdAt": "2025-08-08T00:17:57.516Z",
    "description": "This n8n workflow finds experts on **any topic**, scrapes their websites, and pulls out contact emails automatically.  \nCore services used: **SerpAPI (google search)** · **Apify (website crawler)** · **OpenAI (GPT-4o email extraction)**.\n\n---\n\n## 🛠️ Step-by-Step Setup & Execution\n\n### 1️⃣ Run Workflow (Manual Trigger)\n| Node | Type | Purpose |\n|------|------|---------|\n| `Run Workflow` | Manual Trigger | Start the workflow on demand while you test. |\n\n---\n\n### 2️⃣ Set Your Topic\n| Node | Type | How to configure |\n|------|------|------------------|\n| `Set Topic` | **Set** | Add a string field **Topic** – e.g. `\"n8n\"`. This keyword drives every subsequent step. |\n\n---\n\n### 3️⃣ Search Google (Results 1-10)\n| Node | Type | API Credential |\n|------|------|----------------|\n| `Search Google (top 10)` | **SerpAPI** | **Create SerpAPI credential**<br>1. Sign up → copy API key → n8n → **Credentials → New → SerpAPI** → paste.<br>2. Select the credential in this node. |\n| **Key Params** | |  |\n| `q` |  | `={{ $json.Topic }} Expert` |\n| `location` |  | Region code (ex `585069efee19ad271e9c9b36`) |\n| `additionalFields.start` |  | `\"10\"` (Google position 1-10)|\n\n---\n\n### 4️⃣ Search Google (Results 11-20)\n| Node | Type | Notes |\n|------|------|-------|\n| `Search Google (11-20)` | **SerpAPI** (same credential) | Remove `start` or set to 20+ to fetch next page. |\n\n---\n\n### 5️⃣ Extract URL Lists\n| Node | Type | Script Purpose |\n|------|------|----------------|\n| `Extract Url` & `Extract Url 2` | **Code** | Loop `data.organic_results` → output `{ title, link, displayed_link }` for each result. |\n\n---\n\n### 6️⃣ Combine Both Result Sets\n| Node | Type | Details |\n|------|------|---------|\n| `Append Results` | **Merge (combineAll)** | Merges arrays from steps 3 & 4 into a single list for processing. |\n\n---\n\n### 7️⃣ Loop Over Every URL\n| Node | Type | Configuration |\n|------|------|---------------|\n| `Loop Over Items1` | **Split In Batches** | Default batch = 1 (process one page at a time).<br>`onError = continueRegularOutput` keeps loop alive on failures. |\n\n---\n\n### 8️⃣ Scrape Webpage Content (Apify)\n| Node | Type | API Credential |\n|------|------|----------------|\n| `Scrape URL with apify` | **HTTP Request** | **Create Apify credential**<br>1. Sign up at https://console.apify.com<br>2. Account → **API tokens** → copy.<br>3. n8n → **Credentials → New → HTTP Query Auth** → set query param `token=YOUR_TOKEN`. |\n| **Request Details** |  |  |\n| Method | POST |\n| URL | `https://api.apify.com/v2/acts/6sigmag~fast-website-content-crawler/run-sync-get-dataset-items` |\n| JSON Body | ```json { \"startUrls\": [\"{{ $json.link }}\"] } ``` |\n\n---\n\n### 9️⃣ Extract Email with OpenAI\n| Node | Type | API Credential |\n|------|------|----------------|\n| `Extract Email from webpage` | **LangChain Agent** | **Create OpenAI credential**<br>1. Generate key at https://platform.openai.com/account/api-keys<br>2. n8n → **Credentials → New → OpenAI API** → paste key. |\n| Prompt (system) | ```extract the email address from the text. if there is no email address, output null.``` |\n| **Output Parser** | `Structured Output Parser2` expects → `{ \"email\": \"address OR null\" }` |\n\n---\n\n### 🔟 Loop Continues & Final Data\n- The extracted result returns to **Loop Over Items1** until every URL is processed.  \n- **Typical final item JSON**:\n  ```json\n  {\n    \"title\": \"How to Build n8n Workflows\",\n    \"link\": \"https://example.com\",\n    \"email\": \"info@example.com\"\n  }\n\n💡 Optional Enhancements\nIdea\tHow\nSave Leads\tAdd a Google Sheets or Airtable node after the loop.\nValidate Emails\tChain a ZeroBounce / Hunter.io verification API before saving.\nParallel Crawling\tIncrease SplitInBatches size (watch Apify rate limits).\n\n🙋‍♂️ Need More Help?\nRobert Breen – Automation Consultant & n8n Expert\n📧 robert.j.breen@gmail.com\n🔗 https://www.linkedin.com/in/robert-breen-29429625/\n🌐 https://ynteractive.com",
    "workflow": {
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      "nodes": [
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          "parameters": {
            "model": {
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              "mode": "list",
              "value": "gpt-4o-mini"
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              "id": "credential-id",
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          "parameters": {
            "jsonSchemaExample": "{\n\t\"email\": \"emailaddress\"\n}"
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            "content": "## 🛠️ Step-by-Step Setup & Execution\n\n### 1️⃣ Run Workflow (Manual Trigger)\n- **Node**: `Run Workflow`  \n- **Type**: Manual Trigger  \n- **Purpose**: Kick off the flow on demand.\n\n---\n\n### 2️⃣ Set Your Topic\n- **Node**: `Set Topic`  \n- **Type**: Set  \n- **Prerequisite**: None  \n- **Configuration**:  \n  - Add field **Topic** (string)  \n  - Value: e.g. `\"n8n\"`\n\n---"
          },
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        {
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          "name": "Sticky Note9",
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            "content": "### 7️⃣ Loop Over Each URL\n- **Node**: `Loop Over Items1`  \n- **Type**: SplitInBatches  \n- **Purpose**: Process one URL at a time  \n- **Error Handling**: `onError: continueRegularOutput`\n\n---\n\n### 8️⃣ Scrape Page Content with Apify\n- **Node**: `Scrape URL with apify`  \n- **Type**: HTTP Request  \n- **Prerequisite / API Setup**:  \n  1. Sign up at https://console.apify.com/  \n  2. Create an API token (Account → API tokens)  \n  3. In n8n: **Credentials → New → HTTP Query Auth**, set query param `token=YOUR_TOKEN`  \n- **Request**:  \n  - Method: POST  \n  - URL: `https://api.apify.com/v2/acts/6sigmag~fast-website-content-crawler/run-sync-get-dataset-items`  \n  - Body (JSON):  \n    ```json\n    {\n      \"startUrls\": [\"{{ $json.link }}\"]\n    }\n    ```\n\n---\n\n### 9️⃣ Extract Email Address via AI\n- **Node**: `Extract Email from webpage`  \n- **Type**: LangChain Agent  \n- **Prerequisite / API Setup**:  \n  1. Create OpenAI API key at https://platform.openai.com/account/api-keys  \n  2. In n8n: **Credentials → New → OpenAI API**, paste key as **OpenAi account**  \n- **Prompt**:"
          },
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        {
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          "name": "Sticky Note11",
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            "width": 1320,
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            "content": "\n### 3️⃣ Search Google Results (1–10)\n- **Node**: `Search Google (top 10)`  \n- **Type**: SerpAPI  \n- **Prerequisite / API Setup**:  \n  1. Sign up at https://serpapi.com/  \n  2. Copy your API key  \n  3. In n8n: **Credentials → New → SerpAPI**, paste key as **SerpAPI account**  \n- **Parameters**:  \n  - `q`: `={{ $json.Topic }} Expert`  \n  - `location`: your region code (e.g., `\"585069efee19ad271e9c9b36\"`)  \n  - `additionalFields.start`: `\"10\"` (for results 1–10)\n\n---\n\n### 4️⃣ Search Google Results (11–20)\n- **Node**: `Search Google (11-20)`  \n- **Type**: SerpAPI  \n- **Prerequisite**: Uses same **SerpAPI account** credential  \n- **Parameters**:  \n  - `q`: `={{ $json.Topic }} Expert`  \n  - `location`: same as above  \n  - omit `start` or set for results 11–20\n\n---\n\n### 5️⃣ Extract URLs from Responses\n- **Nodes**: `Extract Url` & `Extract Url 2`  \n- **Type**: Code  \n- **Purpose**: Parse `organic_results` to JSON items with `title`, `link`, and `displayed_link`  \n- **Configuration**: Use JavaScript to map `data.organic_results` accordingly.\n\n---\n\n### 6️⃣ Combine Both Result Sets\n- **Node**: `Append Results`  \n- **Type**: Merge (combineAll)  \n- **Purpose**: Merge arrays from top 10 and 11–20 searches into one list.\n\n---\n"
          },
          "typeVersion": 1
        },
        {
          "id": "be1e7afd-b791-43ab-94be-daf8c23b01b0",
          "name": "Set Topic",
          "type": "n8n-nodes-base.set",
          "position": [
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          ],
          "parameters": {
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            "assignments": {
              "assignments": [
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                  "id": "04f4cbfd-8d9c-4b12-aed0-ec8cea84944d",
                  "name": "Topic",
                  "type": "string",
                  "value": "n8n"
                }
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          },
          "typeVersion": 3.4
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        {
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          "name": "Search Google (top 10)",
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          "onError": "continueRegularOutput",
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          "parameters": {
            "q": "={{ $json.Topic }} Expert",
            "location": "585069efee19ad271e9c9b36",
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            "additionalFields": {
              "start": "10"
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            "serpApi": {
              "id": "credential-id",
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        {
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          "position": [
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          "parameters": {
            "q": "={{ $json.Topic }} Expert",
            "location": "585069efee19ad271e9c9b36",
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          "credentials": {
            "serpApi": {
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          "typeVersion": 1
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        {
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          "name": "Extract Url",
          "type": "n8n-nodes-base.code",
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            "jsCode": "// Get JSON input\nconst data = $input.first().json;\n\n// Extract organic results\nconst results = data.organic_results || [];\n\nconst output = results.map(result => {\n  return {\n    json: {\n      title: result.title || \"\",\n      link: result.link || \"\",\n      displayed_link: result.displayed_link || \"\"\n    }\n  };\n});\n\nreturn output;\n"
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            "jsCode": "// Get JSON input\nconst data = $input.first().json;\n\n// Extract organic results\nconst results = data.organic_results || [];\n\nconst output = results.map(result => {\n  return {\n    json: {\n      title: result.title || \"\",\n      link: result.link || \"\",\n      displayed_link: result.displayed_link || \"\"\n    }\n  };\n});\n\nreturn output;\n"
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          "name": "Scrape URL with apify",
          "type": "n8n-nodes-base.httpRequest",
          "onError": "continueRegularOutput",
          "position": [
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          "parameters": {
            "url": "=https://api.apify.com/v2/acts/6sigmag~fast-website-content-crawler/run-sync-get-dataset-items\n",
            "method": "POST",
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            "jsonBody": "={\n    \"startUrls\": [\n        \"{{ $json.link }}\"\n    ]\n}",
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          "parameters": {
            "text": "={{ $json.text }}",
            "options": {
              "systemMessage": "extract the email address from the text. if there is no email address, output null. "
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            "promptType": "define",
            "hasOutputParser": true
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          "parameters": {
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            "content": "## 📬 Need Help or Want to Customize This?\n📧 [robert@ynteractive.com](mailto:robert@ynteractive.com)  \n🔗 [LinkedIn](https://www.linkedin.com/in/robert-breen-29429625/)"
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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.",
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      },
      {
        "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": 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,PHN2ZyB3aWR0aD0iNDAiIGhlaWdodD0iNDAiIHZpZXdCb3g9IjAgMCA0MCA0MCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTM2Ljg2NzEgMTYuMzcxOEMzNy43NzQ2IDEzLjY0OCAzNy40NjIxIDEwLjY2NDIgMzYuMDEwOCA4LjE4NjYxQzMzLjgyODIgNC4zODY1MyAyOS40NDA3IDIuNDMxNDkgMjUuMTU1NiAzLjM1MTUxQzIzLjI0OTMgMS4yMDM5NiAyMC41MTA1IC0wLjAxNzMxNDggMTcuNjM5MiAwLjAwMDE4NTUzM0MxMy4yNTkxIC0wLjAwOTgxNDY4IDkuMzcyNzMgMi44MTAyNSA4LjAyNTIgNi45Nzc4M0M1LjIxMTM5IDcuNTU0MSAyLjc4MjU4IDkuMzE1MzggMS4zNjEzIDExLjgxMTdDLTAuODM3NDkzIDE1LjYwMTggLTAuMzM2MjMyIDIwLjM3OTQgMi42MDEzMyAyMy42Mjk0QzEuNjkzODEgMjYuMzUzMiAyLjAwNjMyIDI5LjMzNzEgMy40NTc2IDMxLjgxNDZDNS42NDAxNSAzNS42MTQ3IDEwLjAyNzcgMzcuNTY5NyAxNC4zMTI4IDM2LjY0OTdDMTYuMjE3OSAzOC43OTczIDE4Ljk1NzkgNDAuMDE4NSAyMS44MjkyIDM5Ljk5OThDMjYuMjExOCA0MC4wMTEgMzAuMDk5NCAzNy4xODg1IDMxLjQ0NjkgMzMuMDE3MUMzNC4yNjA4IDMyLjQ0MDkgMzYuNjg5NiAzMC42Nzk2IDM4LjExMDggMjguMTgzM0M0MC4zMDcxIDI0LjM5MzIgMzkuODA0NiAxOS42MTk0IDM2Ljg2ODMgMTYuMzY5M0wzNi44NjcxIDE2LjM3MThaTTIxLjgzMTcgMzcuMzg2QzIwLjA3OCAzNy4zODg1IDE4LjM3OTIgMzYuNzc0NyAxNy4wMzI5IDM1LjY1MDlDMTcuMDk0MSAzNS42MTg0IDE3LjIwMDQgMzUuNTU5NyAxNy4yNjkxIDM1LjUxNzJMMjUuMjM0MyAzMC45MTcxQzI1LjY0MTggMzAuNjg1OCAyNS44OTE4IDMwLjI1MjEgMjUuODg5MyAyOS43ODMzVjE4LjU1NDNMMjkuMjU1NyAyMC40OTgxQzI5LjI5MTkgMjAuNTE1NiAyOS4zMTU3IDIwLjU1MDYgMjkuMzIwNyAyMC41OTA2VjI5Ljg4OTZDMjkuMzE1NyAzNC4wMjQ3IDI1Ljk2NjggMzcuMzc3MiAyMS44MzE3IDM3LjM4NlpNNS43MjY0IDMwLjUwNzFDNC44NDc2MyAyOC45ODk2IDQuNTMxMzcgMjcuMjEwOCA0LjgzMjYzIDI1LjQ4NDVDNC44OTEzOCAyNS41MTk1IDQuOTk1MTMgMjUuNTgzMiA1LjA2ODg4IDI1LjYyNTdMMTMuMDM0MSAzMC4yMjU4QzEzLjQzNzggMzAuNDYyMSAxMy45Mzc4IDMwLjQ2MjEgMTQuMzQyOCAzMC4yMjU4TDI0LjA2NjggMjQuNjEwN1YyOC40OTgzQzI0LjA2OTMgMjguNTM4MyAyNC4wNTA1IDI4LjU3NyAyNC4wMTkzIDI4LjYwMkwxNS45Njc5IDMzLjI1MDlDMTIuMzgxNSAzNS4zMTU5IDcuODAxNDQgMzQuMDg4NCA1LjcyNzY1IDMwLjUwNzFINS43MjY0Wk0zLjYzMDEgMTMuMTIwNUM0LjUwNTEyIDExLjYwMDQgNS44ODY0IDEwLjQzNzkgNy41MzE0NCA5LjgzNDE1QzcuNTMxNDQgOS45MDI5IDcuNTI3NjkgMTAuMDI0MiA3LjUyNzY5IDEwLjEwOTJWMTkuMzEwNkM3LjUyNTE5IDE5Ljc3ODEgNy43NzUxOSAyMC4yMTE5IDguMTgxNDUgMjAuNDQzMUwxNy45MDU0IDI2LjA1N0wxNC41MzkxIDI4LjAwMDhDMTQuNTA1MyAyOC4wMjMzIDE0LjQ2MjggMjguMDI3IDE0LjQyNTMgMjguMDEwOEw2LjM3MjY2IDIzLjM1ODJDMi43OTM4MyAyMS4yODU2IDEuNTY2MzEgMTYuNzA2OCAzLjYyODg1IDEzLjEyMTdMMy42MzAxIDEzLjEyMDVaTTMxLjI4ODIgMTkuNTU2OUwyMS41NjQyIDEzLjk0MTdMMjQuOTMwNiAxMS45OTkyQzI0Ljk2NDMgMTEuOTc2NyAyNS4wMDY4IDExLjk3MjkgMjUuMDQ0MyAxMS45ODkyTDMzLjA5NyAxNi42MzhDMzYuNjgyMSAxOC43MDkzIDM3LjkxMDggMjMuMjk1NyAzNS44Mzk1IDI2Ljg4MDhDMzQuOTYzMyAyOC4zOTgzIDMzLjU4MzIgMjkuNTYwOCAzMS45Mzk1IDMwLjE2NThWMjAuNjg5NEMzMS45NDMyIDIwLjIyMTkgMzEuNjk0NSAxOS43ODk0IDMxLjI4OTQgMTkuNTU2OUgzMS4yODgyWk0zNC42MzgzIDE0LjUxNDJDMzQuNTc5NSAxNC40NzggMzQuNDc1OCAxNC40MTU1IDM0LjQwMiAxNC4zNzNMMjYuNDM2OCA5Ljc3Mjg5QzI2LjAzMzEgOS41MzY2NCAyNS41MzMxIDkuNTM2NjQgMjUuMTI4MSA5Ljc3Mjg5TDE1LjQwNDEgMTUuMzg4VjExLjUwMDRDMTUuNDAxNiAxMS40NjA0IDE1LjQyMDQgMTEuNDIxNyAxNS40NTE2IDExLjM5NjdMMjMuNTAzIDYuNzUxNThDMjcuMDg5NCA0LjY4Mjc5IDMxLjY3NDUgNS45MTQwNiAzMy43NDIgOS41MDE2NEMzNC42MTU4IDExLjAxNjcgMzQuOTMyIDEyLjc5MDUgMzQuNjM1OCAxNC41MTQySDM0LjYzODNaTTEzLjU3NDEgMjEuNDQzMUwxMC4yMDY1IDE5LjQ5OTRDMTAuMTcwMiAxOS40ODE5IDEwLjE0NjUgMTkuNDQ2OCAxMC4xNDE1IDE5LjQwNjhWMTAuMTA3OUMxMC4xNDQgNS45Njc4MSAxMy41MDI4IDIuNjEyNzQgMTcuNjQyOSAyLjYxNTI0QzE5LjM5NDIgMi42MTUyNCAyMS4wODkyIDMuMjMwMjUgMjIuNDM1NSA0LjM1MDI4QzIyLjM3NDMgNC4zODI3OCAyMi4yNjkzIDQuNDQxNTMgMjIuMTk5MiA0LjQ4NDAzTDE0LjIzNDEgOS4wODQxM0MxMy44MjY2IDkuMzE1MzggMTMuNTc2NiA5Ljc0Nzg5IDEzLjU3OTEgMTAuMjE2N0wxMy41NzQxIDIxLjQ0MDZWMjEuNDQzMVpNMTUuNDAyOSAxNy41MDA2TDE5LjczNDIgMTQuOTk5M0wyNC4wNjU1IDE3LjQ5OTNWMjIuNTAwN0wxOS43MzQyIDI1LjAwMDdMMTUuNDAyOSAyMi41MDA3VjE3LjUwMDZaIiBmaWxsPSIjN0Q3RDg3Ii8+Cjwvc3ZnPgo="
        },
        "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"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 37,
        "name": "Lead Generation"
      },
      {
        "id": 51,
        "name": "Multimodal AI"
      }
    ],
    "image": []
  }
}