{
  "workflow": {
    "id": 3851,
    "name": "Automate Etsy data mining with Bright Data Scrape & Google Gemini",
    "views": 5323,
    "recentViews": 1,
    "totalViews": 5323,
    "createdAt": "2025-05-03T23:15:27.321Z",
    "description": "### Who this is for?\nThe Automate Etsy Data Mining with Bright Data Scrape & Google Gemini workflow is designed for eCommerce analysts, product researchers, and AI developers seeking to extract actionable insights from Etsy listings at scale. \n\nIt is ideal for:\n\n- **eCommerce Entrepreneurs** - Researching product demand and competition.\n\n- **Market Analysts** - Tracking pricing, reviews, and trends across Etsy categories.\n\n- **Product Managers** - Identifying niche opportunities and design inspirations.\n\n- **Data Scientists & AI Engineers** - Automating product intelligence pipelines.\n\n- **Growth Hackers** - Leveraging Etsy insights to refine product-market fit.\n\n### What problem is this workflow solving?\nManually browsing Etsy to analyze product listings, pricing, reviews, and seller activity is slow, inconsistent, and unscalable. Scraping Etsy requires unlocking JavaScript-heavy content and structuring noisy data for analysis.\n\nThis workflow solves:\n\n- Automated and scalable scraping of Etsy product listings using Bright Data’s infrastructure.\n\n- A fully paginated data structured Estry production data extraction via the Google Gemini LLM.\n\n- Enables faster decision-making for product research and competitive analysis via the fully automated paginated data extraction.\n\n### What this workflow does\n\n- Receives input: Sets the Esty URL for the data extraction and analysis.\n\n- Uses Bright Data's Web Unlocker to extract content from relevant sites.\n\n- Cleans and preprocesses the scraped content for readability.\n\n- Sends the content to Google Gemini for:\n\n\t- Enriched results including:\n\n\t\t- Data persistence over the disk.\n\n\t\t- Sends the response to a target system via Webhook notification.\n\n### Setup\n\n- Sign up at [Bright Data](https://brightdata.com/).\n- Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.\n- In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication).\n![Header Authentication.png](fileId:1241)\nThe Value field should be set with the \n**Bearer XXXXXXXXXXXXXX**. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token.\n- A Google Gemini API key (or access through Vertex AI or proxy).\n- Update the **Set Esty Search Query** for setting the brand content URL and the Bright Data Zone name.\n- Update the Webhook HTTP Request node with the Webhook endpoint of your choice.\n\n### How to customize this workflow to your needs\n\n- **Input Sources** : Replace the static URL with dynamic input from Google Sheets, Webhook, or Airtable to research multiple niches.\n\n- **Prompt Customization** : Adjust Gemini prompts to extract specific insights for example:\n\n\t- List key features of the product\n\n\t- Summarization of the review themes\n- **Data Output Options** : Update the Webhook notification to save data to:\n\n\t- Google Sheets\n\t- Notion or Airtable\n\t- SQL/NoSQL\n\t- Slack/Email\n\n\n\n\n\n\n\n\n",
    "workflow": {
      "id": "UuuCIDvTNnloIlvq",
      "meta": {
        "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
        "templateCredsSetupCompleted": true
      },
      "name": "Automate Etsy Data Mining with Bright Data Scrape & Google Gemini",
      "tags": [
        {
          "id": "Kujft2FOjmOVQAmJ",
          "name": "Engineering",
          "createdAt": "2025-04-09T01:31:00.558Z",
          "updatedAt": "2025-04-09T01:31:00.558Z"
        },
        {
          "id": "ddPkw7Hg5dZhQu2w",
          "name": "AI",
          "createdAt": "2025-04-13T05:38:08.053Z",
          "updatedAt": "2025-04-13T05:38:08.053Z"
        }
      ],
      "nodes": [
        {
          "id": "f369feaf-4782-4411-9d08-fe91b9ffd97e",
          "name": "When clicking ‘Test workflow’",
          "type": "n8n-nodes-base.manualTrigger",
          "position": [
            200,
            -555
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "231bae3c-c27e-49fc-b878-2d5cc1e14c5a",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            200,
            -1020
          ],
          "parameters": {
            "width": 400,
            "height": 300,
            "content": "## Note\n\nDeals with the Esty web scraping by utilizing the Bright Data Web Unlocker Product.\n\nThe Information Extraction node being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the Indeed search query and update the Webhook Notification URL**"
          },
          "typeVersion": 1
        },
        {
          "id": "f568de40-b389-41f9-afe9-5e09a291c367",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            640,
            -1020
          ],
          "parameters": {
            "width": 480,
            "height": 300,
            "content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain Data Extractor."
          },
          "typeVersion": 1
        },
        {
          "id": "4f1db865-a0cb-4978-9c7d-fde448bd978a",
          "name": "Set Esty Search Query",
          "type": "n8n-nodes-base.set",
          "position": [
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          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
                  "name": "url",
                  "type": "string",
                  "value": "https://www.etsy.com/search?q=wall+art+for+mum&order=date_desc&page=1&ref=pagination"
                },
                {
                  "id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
                  "name": "zone",
                  "type": "string",
                  "value": "web_unlocker1"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "4cb51368-bb69-4d99-a0b6-e8e8013f1dfd",
          "name": "Perform Esty Web Request",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            640,
            -680
          ],
          "parameters": {
            "url": "https://api.brightdata.com/request",
            "method": "POST",
            "options": {},
            "sendBody": true,
            "sendHeaders": true,
            "authentication": "genericCredentialType",
            "bodyParameters": {
              "parameters": [
                {
                  "name": "zone",
                  "value": "={{ $json.zone }}"
                },
                {
                  "name": "url",
                  "value": "={{ $json.url }}"
                },
                {
                  "name": "format",
                  "value": "raw"
                },
                {
                  "name": "data_format",
                  "value": "markdown"
                }
              ]
            },
            "genericAuthType": "httpHeaderAuth",
            "headerParameters": {
              "parameters": [
                {}
              ]
            }
          },
          "credentials": {
            "httpHeaderAuth": {
              "id": "credential-id",
              "name": "httpHeaderAuth Credential"
            }
          },
          "executeOnce": false,
          "retryOnFail": true,
          "typeVersion": 4.2,
          "alwaysOutputData": true
        },
        {
          "id": "9fb7bdc5-ba64-4df4-89b4-a3207e7f6d0e",
          "name": "Google Gemini Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
          "position": [
            948,
            -460
          ],
          "parameters": {
            "options": {},
            "modelName": "models/gemini-2.0-flash-exp"
          },
          "credentials": {
            "googlePalmApi": {
              "id": "credential-id",
              "name": "googlePalmApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "1f95576d-e243-481d-9d5f-308764d8ea4b",
          "name": "Loop Over Items",
          "type": "n8n-nodes-base.splitInBatches",
          "position": [
            1460,
            -680
          ],
          "parameters": {
            "options": {}
          },
          "typeVersion": 3
        },
        {
          "id": "47f23aa1-63ee-49e3-a465-283c7ab71b76",
          "name": "Perform Esty web request over the loop",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            1680,
            -560
          ],
          "parameters": {
            "url": "https://api.brightdata.com/request",
            "method": "POST",
            "options": {},
            "sendBody": true,
            "sendHeaders": true,
            "authentication": "genericCredentialType",
            "bodyParameters": {
              "parameters": [
                {
                  "name": "zone",
                  "value": "=web_unlocker1"
                },
                {
                  "name": "url",
                  "value": "={{ $json.url }}"
                },
                {
                  "name": "format",
                  "value": "raw"
                },
                {
                  "name": "data_format",
                  "value": "markdown"
                }
              ]
            },
            "genericAuthType": "httpHeaderAuth",
            "headerParameters": {
              "parameters": [
                {}
              ]
            }
          },
          "credentials": {
            "httpHeaderAuth": {
              "id": "credential-id",
              "name": "httpHeaderAuth Credential"
            }
          },
          "retryOnFail": true,
          "typeVersion": 4.2,
          "alwaysOutputData": true
        },
        {
          "id": "0b5ea206-a5a0-49b5-8f53-10b4dec5806c",
          "name": "Initiate a Webhook Notification for the extracted data",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            2320,
            -560
          ],
          "parameters": {
            "url": "https://webhook.site/4ac5475f-3c6d-4154-82c5-1279d4368343",
            "options": {},
            "sendBody": true,
            "bodyParameters": {
              "parameters": [
                {
                  "name": "summary",
                  "value": "={{ $json.output }}"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "a164b90b-f44c-4862-b010-d515926774c7",
          "name": "Extract Item List with the Product Info",
          "type": "@n8n/n8n-nodes-langchain.informationExtractor",
          "position": [
            1920,
            -560
          ],
          "parameters": {
            "text": "=Extract the product info in JSON\n\n{{ $json.data }}",
            "options": {},
            "schemaType": "fromJson",
            "jsonSchemaExample": "[{\n    \"image\": \"https://i.etsystatic.com/34923795/r/il/8f3bba/5855230678/il_fullxfull.5855230678_n9el.jpg\",\n    \"name\": \"Custom Coffee Mug with Photo\",\n    \"url\": \"https://www.etsy.com/listing/1193808036/custom-coffee-mug-with-photo\",\n    \"brand\": {\n        \"@type\": \"Brand\",\n        \"name\": \"TheGiftBucks\"\n    },\n    \"offers\": {\n        \"@type\": \"Offer\",\n        \"price\": \"14.99\",\n        \"priceCurrency\": \"USD\"\n    }\n}]"
          },
          "retryOnFail": true,
          "typeVersion": 1,
          "alwaysOutputData": true
        },
        {
          "id": "c3798c64-ac53-44c8-ba91-8fe33377113d",
          "name": "Google Gemini Chat Model for product info",
          "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
          "position": [
            2000,
            -300
          ],
          "parameters": {
            "options": {},
            "modelName": "models/gemini-2.0-flash-exp"
          },
          "credentials": {
            "googlePalmApi": {
              "id": "credential-id",
              "name": "googlePalmApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "11e4ae42-d2e1-4a4b-adcf-382f9e494431",
          "name": "Extract Paginated Resultset",
          "type": "@n8n/n8n-nodes-langchain.informationExtractor",
          "position": [
            860,
            -680
          ],
          "parameters": {
            "text": "=Analyze and Extract the below content. Make sure to produce a unique resultset. Exclude page_numbers which are not numbers.\n\n {{ $json.data }}",
            "options": {},
            "schemaType": "manual",
            "inputSchema": "{\n  \"$schema\": \"http://json-schema.org/schema#\",\n  \"title\": \"PagedResultSetSchema\",\n  \"type\": \"array\",\n  \"items\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"page_number\": {\n        \"type\": \"string\",\n        \"description\": \"Page number, typically a string (e.g., '1', '2', 'next').\"\n      },\n      \"url\": {\n        \"type\": \"string\",\n        \"format\": \"uri\",\n        \"description\": \"URL pointing to the page.\"\n      }\n    },\n    \"required\": [\"page_number\", \"url\"],\n    \"additionalProperties\": false\n  }\n}\n"
          },
          "retryOnFail": true,
          "typeVersion": 1,
          "alwaysOutputData": true
        },
        {
          "id": "28c1822b-d51c-4f8e-b98e-2e12324397be",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1400,
            -780
          ],
          "parameters": {
            "color": 5,
            "width": 1340,
            "height": 620,
            "content": "## Loop and Perform Paginated Esty Data Extraction\n"
          },
          "typeVersion": 1
        },
        {
          "id": "d4f18f2b-9825-4320-addb-c02bfdc4da97",
          "name": "Write the scraped content to disk",
          "type": "n8n-nodes-base.readWriteFile",
          "position": [
            2560,
            -760
          ],
          "parameters": {
            "options": {},
            "fileName": "=d:\\Esty-Scraped-Content-{{ $('Loop Over Items').item.json.page_number }}.json",
            "operation": "write"
          },
          "typeVersion": 1
        },
        {
          "id": "5555407d-c7dd-4e5c-83ab-ef6ba9c46da3",
          "name": "Create a binary data",
          "type": "n8n-nodes-base.function",
          "position": [
            2360,
            -760
          ],
          "parameters": {
            "functionCode": "items[0].binary = {\n  data: {\n    data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n  }\n};\nreturn items;"
          },
          "typeVersion": 1
        },
        {
          "id": "2f7a5fab-a2f4-422e-8f83-ce50fbe2a738",
          "name": "Split Out",
          "type": "n8n-nodes-base.splitOut",
          "position": [
            1240,
            -680
          ],
          "parameters": {
            "options": {},
            "fieldToSplitOut": "output"
          },
          "typeVersion": 1
        },
        {
          "id": "3d7a8992-b8d4-4a86-b60b-a92a7d63e31b",
          "name": "Extract Paginated Resultset With OpenAI",
          "type": "@n8n/n8n-nodes-langchain.informationExtractor",
          "position": [
            880,
            -120
          ],
          "parameters": {
            "text": "=Analyze and Extract the below content. Make sure to produce a unique resultset. Exclude page_numbers which are not numbers.\n\n {{ $json.data }}",
            "options": {},
            "schemaType": "manual",
            "inputSchema": "{\n  \"$schema\": \"http://json-schema.org/schema#\",\n  \"title\": \"PagedResultSetSchema\",\n  \"type\": \"array\",\n  \"items\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"page_number\": {\n        \"type\": \"string\",\n        \"description\": \"Page number, typically a string (e.g., '1', '2', 'next').\"\n      },\n      \"url\": {\n        \"type\": \"string\",\n        \"format\": \"uri\",\n        \"description\": \"URL pointing to the page.\"\n      }\n    },\n    \"required\": [\"page_number\", \"url\"],\n    \"additionalProperties\": false\n  }\n}\n"
          },
          "typeVersion": 1
        },
        {
          "id": "aa42d335-67bc-4dc5-a68a-4ce93e05464a",
          "name": "OpenAI Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            880,
            80
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "82df0ccc-3065-4bb5-a48e-90e4dbf2162f",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            640,
            -260
          ],
          "parameters": {
            "color": 6,
            "width": 660,
            "height": 460,
            "content": "## Open AI Extraction (Optional)\nNote - Replace the above workflow with the Open AI Chat Model if needed\nPlease make sure to set the OpenAI Chat Model -> Credential to connect with **OpenAi Account**"
          },
          "typeVersion": 1
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "ce29e27d-e6da-41fe-83ad-d6974a92dc5e",
      "connections": {
        "Split Out": {
          "main": [
            [
              {
                "node": "Loop Over Items",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Loop Over Items": {
          "main": [
            [],
            [
              {
                "node": "Perform Esty web request over the loop",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model": {
          "ai_languageModel": [
            [
              {
                "node": "Extract Paginated Resultset With OpenAI",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Create a binary data": {
          "main": [
            [
              {
                "node": "Write the scraped content to disk",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Set Esty Search Query": {
          "main": [
            [
              {
                "node": "Perform Esty Web Request",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Google Gemini Chat Model": {
          "ai_languageModel": [
            [
              {
                "node": "Extract Paginated Resultset",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Perform Esty Web Request": {
          "main": [
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              {
                "node": "Extract Paginated Resultset",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Extract Paginated Resultset": {
          "main": [
            [
              {
                "node": "Split Out",
                "type": "main",
                "index": 0
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        },
        "When clicking ‘Test workflow’": {
          "main": [
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              {
                "node": "Set Esty Search Query",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Perform Esty web request over the loop": {
          "main": [
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              {
                "node": "Extract Item List with the Product Info",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Extract Item List with the Product Info": {
          "main": [
            [
              {
                "node": "Initiate a Webhook Notification for the extracted data",
                "type": "main",
                "index": 0
              },
              {
                "node": "Create a binary data",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Google Gemini Chat Model for product info": {
          "ai_languageModel": [
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              {
                "node": "Extract Item List with the Product Info",
                "type": "ai_languageModel",
                "index": 0
              }
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          ]
        },
        "Initiate a Webhook Notification for the extracted data": {
          "main": [
            [
              {
                "node": "Loop Over Items",
                "type": "main",
                "index": 0
              }
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        }
      }
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    "lastUpdatedBy": 29,
    "workflowInfo": {
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      "nodeTypes": {
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        "n8n-nodes-base.splitInBatches": {
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        "@n8n/n8n-nodes-langchain.lmChatOpenAi": {
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        "@n8n/n8n-nodes-langchain.informationExtractor": {
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        }
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    "status": "published",
    "user": {
      "name": "Ranjan Dailata",
      "username": "ranjancse",
      "bio": "A Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com ",
      "verified": true,
      "links": [
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        "name": "n8n-nodes-base.function",
        "codex": {
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              "Code",
              "Javascript",
              "Custom Code",
              "Script",
              "cpde"
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            "details": "The Function node allows you to execute JavaScript in your workflow. Unlike the Function Item node, this node does not operate on incoming node data per-item. Instead, you must iterate over multiple items of incoming data yourself. This can be useful if you're performing data transformation where you want to manipulate the number of items being outputted by the node (i.e. 1 item is inputted in with nested object, 10 items are outputted without any nested objects)",
            "resources": {
              "generic": [
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                  "icon": "🎯",
                  "label": "2021 Goals: Level Up Your Vocabulary With Vonage and n8n"
                },
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                  "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"
                },
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                  "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"
                },
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                  "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/why-i-chose-n8n-over-zapier-in-2020/",
                  "icon": "😍",
                  "label": "Why I chose n8n over Zapier in 2020"
                },
                {
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                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.splitinbatches/"
                }
              ]
            },
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            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Flow"
              ]
            }
          }
        },
        "group": "[\"organization\"]",
        "defaults": {
          "name": "Loop Over Items",
          "color": "#007755"
        },
        "iconData": {
          "icon": "sync",
          "type": "icon"
        },
        "displayName": "Loop Over Items (Split in Batches)",
        "typeVersion": 3,
        "nodeCategories": [
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            "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",
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        "nodeCategories": [
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            "name": "Core Nodes"
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        "icon": "fa:mouse-pointer",
        "name": "n8n-nodes-base.manualTrigger",
        "codex": {
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              "primaryDocumentation": [
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                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.manualworkflowtrigger/"
                }
              ]
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            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "When clicking ‘Execute workflow’",
          "color": "#909298"
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        "iconData": {
          "icon": "mouse-pointer",
          "type": "icon"
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        "displayName": "Manual Trigger",
        "typeVersion": 1,
        "nodeCategories": [
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            "name": "Core Nodes"
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        ]
      },
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        "id": 1153,
        "icon": "file:openAiLight.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
        "codex": {
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                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/"
                }
              ]
            },
            "categories": [
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              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenAI Chat Model"
        },
        "iconData": {
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          "fileBuffer": "data:image/svg+xml;base64,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"
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        "displayName": "OpenAI Chat Model",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1233,
        "icon": "file:readWriteFile.svg",
        "name": "n8n-nodes-base.readWriteFile",
        "codex": {
          "data": {
            "alias": [
              "Binary",
              "File",
              "Text",
              "Open",
              "Import",
              "Save",
              "Export",
              "Disk",
              "Transfer"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.readwritefile/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Files"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Read/Write Files from Disk"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
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        "displayName": "Read/Write Files from Disk",
        "typeVersion": 1,
        "nodeCategories": [
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            "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": [
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            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Split Out"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
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        "displayName": "Split Out",
        "typeVersion": 1,
        "nodeCategories": [
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            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1262,
        "icon": "file:google.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
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                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgooglegemini/"
                }
              ]
            },
            "categories": [
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              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Google Gemini Chat Model"
        },
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