{
  "nodes": [
    {
      "id": "c3ef40df-084e-435c-9a11-3aa0a2f94f36",
      "name": "When clicking \"Test workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        740,
        520
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "e0583472-a450-4582-83bc-84a014bea543",
      "name": "Split Out",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        1640,
        520
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "output.results"
      },
      "typeVersion": 1
    },
    {
      "id": "b8aa573d-5b63-4669-900f-bcc915b6ad41",
      "name": "Save to Google Sheets",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1900,
        520
      ],
      "parameters": {
        "columns": {
          "value": {},
          "schema": [
            {
              "id": "name",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "price",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "price",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "availability",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "availability",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "image",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "image",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "link",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "link",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "autoMapInputData",
          "matchingColumns": [
            "Book prices"
          ]
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "REPLACE_WITH_RESOURCE"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "REPLACE_WITH_RESOURCE"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "a63c3ab3-6aab-43b2-8af6-8b00e24e0ee6",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1300,
        700
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "40326966-0c46-4df2-8d80-fa014e05b693",
      "name": "Information Extractor",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        1260,
        520
      ],
      "parameters": {
        "text": "={{ $json.data }}",
        "options": {
          "systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, you may omit the attribute's value.\nAlways output the data in a json array called results.  Each book should have a title, price, availability and product_url, image_url"
        },
        "schemaType": "manual",
        "inputSchema": "{\n  \"results\": {\n      \"type\": \"array\",\n      \"items\": {\n          \"type\": \"object\",\n          \"properties\": {\n            \"price\": {\n              \"type\": \"string\"\n              },\n            \"title\": {\n              \"type\": \"string\"\n            },\n            \"image_url\": {\n              \"type\": \"string\"\n            },\n            \"product_url\": {\n              \"type\": \"string\"\n            },\n            \"availability\": {\n              \"type\": \"string\"\n            }            \n           }\n      }\n  }\n}"
      },
      "typeVersion": 1
    },
    {
      "id": "8ddca560-8da7-4090-b865-0523f95ca463",
      "name": "Jina Fetch",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1020,
        520
      ],
      "parameters": {
        "url": "https://r.jina.ai/http://books.toscrape.com/catalogue/category/books/historical-fiction_4/index.html",
        "options": {
          "allowUnauthorizedCerts": true
        },
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "typeVersion": 4.1
    },
    {
      "id": "b1745cea-fdbe-4f14-b09c-884549beac7e",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        80,
        320
      ],
      "parameters": {
        "color": 5,
        "width": 587,
        "height": 570,
        "content": "## Start here: Step-by Step Youtube Tutorial :star:\n\n[![AI Powered Web Scraping : the EASY way with n8n and Jina.ai (no-code!)](https://img.youtube.com/vi/f3AJYXHirr8/sddefault.jpg)](https://youtu.be/f3AJYXHirr8)\n\n[Google Sheet Example](https://docs.google.com/spreadsheets/d/REPLACE_WITH_DOCUMENT_ID/edit?usp=sharing)\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "8685a815-7977-5ec7-bb3d-09ce7826d828",
      "name": "Publication · Overview and setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -800,
        0
      ],
      "parameters": {
        "content": "# Start here: Step-by Step Youtube Tutorial :star:\n\n## Purpose and structure\nThis folder contains the **Start here: Step-by Step Youtube Tutorial :star:** workflow. Its executable nodes use `googleSheets`, `httpRequest`, `informationExtractor`, `lmChatOpenAi`, `manualTrigger`, `splitOut`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nWhen clicking \"Test workflow\"\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nhttps://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Splitout/0634_Splitout_Manual_Export_Webhook.json\nMIT; preserve source notices.",
        "width": 700,
        "height": 800,
        "color": 1
      }
    }
  ],
  "connections": {
    "Split Out": {
      "main": [
        [
          {
            "node": "Save to Google Sheets",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Jina Fetch": {
      "main": [
        [
          {
            "node": "Information Extractor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Information Extractor",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Information Extractor": {
      "main": [
        [
          {
            "node": "Split Out",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking \"Test workflow\"": {
      "main": [
        [
          {
            "node": "Jina Fetch",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false
}