Subir archivos a "/"
This commit is contained in:
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{
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"name": "Website Craw IA v4",
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"nodes": [
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},
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{
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"parameters": {
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"mode": "raw",
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"jsonOutput": "={\n\"result\": {{ $('Get LLM Crawl').item.json.result.extracted_content }}\n}",
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"options": {}
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"name": "LLM Result"
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},
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{
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"parameters": {
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"url": "=https://evo-crwal4ai.5lbnb4.easypanel.host/task/{{ $json.task_id }}",
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"authentication": "genericCredentialType",
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"genericAuthType": "httpHeaderAuth",
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"options": {}
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},
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"name": "Get LLM Crawl",
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"credentials": {
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"httpBasicAuth": {
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"id": "kSyyvvNaOBuA00C4",
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"name": "crawl4aiserver"
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},
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"httpHeaderAuth": {
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"id": "VLM9roYC9zcTGJsa",
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"name": "panel"
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}
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}
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},
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{
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"parameters": {
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"mode": "raw",
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"jsonOutput": "={\n \"task_id\": \"{{ $('Markdown Crawl Request').item.json.task_id }}\", \"status\": \"{{ $json.status }}\"\n}",
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"options": {}
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"type": "n8n-nodes-base.set",
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"id": "7b604366-9af1-417a-b724-f039e574cc19",
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"name": "LLM TID Field"
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},
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{
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"parameters": {
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"conditions": {
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"options": {
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"caseSensitive": true,
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"leftValue": "",
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"typeValidation": "strict",
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"version": 2
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"id": "aad7f793-d74c-4f00-8d29-11b4782b43c8",
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"leftValue": "={{ $json.status }}",
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"rightValue": "pending",
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"operator": {
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"type": "string",
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"operation": "notEquals"
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{
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"id": "c1ca239e-8ba0-447f-bc6e-bdbc83273c9f",
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"leftValue": "={{ $json.status }}",
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"rightValue": "processing",
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"operator": {
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"type": "string",
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"operation": "notEquals"
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}
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}
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],
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"combinator": "and"
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},
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"options": {}
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},
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"type": "n8n-nodes-base.if",
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"typeVersion": 2.2,
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"position": [
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],
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"id": "4fef42a2-3682-4ca4-b2c9-4205471aa1ce",
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"name": "LLM if In Process"
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},
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{
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"parameters": {
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"method": "POST",
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"url": "https://evo-crwal4ai.5lbnb4.easypanel.host/crawl",
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"authentication": "genericCredentialType",
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"genericAuthType": "httpHeaderAuth",
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"sendBody": true,
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"specifyBody": "json",
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"jsonBody": "={\n \"urls\": \"{{ $json.loc }}\",\n \"crawler_params\": {\n \"headless\": true\n },\n \"extraction_config\": {\n \"type\": \"llm\",\n \"params\": {\n \"llm_config\": {\n \"provider\": \"openai/gpt4o-mini\"\n },\n \"schema\": {\n \"title\": \"ProductData\",\n \"type\": \"object\",\n \"properties\": {\n \"title\": { \"type\": \"string\", \"description\": \"Product name (page title).\" },\n \"sku\": { \"type\": \"string\", \"description\": \"SKU/Referencia: use Product.sku/mpn or 'Referencia:' text on page.\" },\n \"price\": { \"type\": \"string\", \"description\": \"Numeric price only, e.g. 12.29\" },\n \"currency\": { \"type\": \"string\", \"description\": \"Price currency code/symbol if available (e.g. USD, B/., $).\" },\n \"category\": { \"type\": \"string\", \"description\": \"Breadcrumb category; prefer the node 'leches' if present, else the most specific category.\" },\n \"description\": { \"type\": \"string\", \"description\": \"Long textual description.\" },\n \"image\": { \"type\": \"string\", \"description\": \"Main image URL.\" },\n \"url\": { \"type\": \"string\", \"description\": \"Canonical product URL.\" }\n },\n \"required\": [\"title\", \"price\", \"url\"]\n },\n \"extraction_type\": \"schema\",\n \"instruction\": \"Extract data primarily from <script type='application/ld+json'> with @type='Product' and from BreadcrumbList. Map fields as follows: title=Product.name; sku=Product.sku or Product.mpn; price=Product.offers.price (return only the number, no symbols); currency=Product.offers.priceCurrency if present; description=Product.description; image=first of Product.image; url=Product.url or the page URL. For category, read BreadcrumbList item names and return 'leches' if present, otherwise the most specific (last) breadcrumb. If any field is missing in JSON-LD, fallback to DOM: title from H1; sku from the text after 'Referencia:'; price from visible price near the buy button; description from the 'Descripción' section; image from the main gallery image. Normalize whitespace. Do not invent values.\"\n }\n },\n \"cache_mode\": \"bypass\"\n}\n",
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"options": {}
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},
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"type": "n8n-nodes-base.httpRequest",
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"typeVersion": 4.2,
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"id": "dd70ec7c-340d-419b-a1b1-b5b6957d7319",
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"name": "Markdown Crawl Request",
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"credentials": {
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"httpBasicAuth": {
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"id": "kSyyvvNaOBuA00C4",
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"name": "crawl4aiserver"
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},
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"httpHeaderAuth": {
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"id": "VLM9roYC9zcTGJsa",
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"name": "panel"
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}
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},
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{
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"parameters": {
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"documentId": {
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"__rl": true,
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"value": "1LatvxzjsFgWUcDgqIFubGbsy6yNeeSwZ7w9yg_tb8xY",
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"mode": "list",
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"cachedResultName": "UrlsTest",
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"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LatvxzjsFgWUcDgqIFubGbsy6yNeeSwZ7w9yg_tb8xY/edit?usp=drivesdk"
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},
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"sheetName": {
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"__rl": true,
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"value": "gid=0",
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"mode": "list",
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"cachedResultName": "Hoja 1",
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"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LatvxzjsFgWUcDgqIFubGbsy6yNeeSwZ7w9yg_tb8xY/edit#gid=0"
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"options": {}
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"type": "n8n-nodes-base.googleSheets",
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"id": "154ea175-3008-4066-9980-db7014b35c5b",
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"name": "Get row(s) in sheet",
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"credentials": {
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"googleSheetsOAuth2Api": {
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"id": "SE121yXzuB6zr94l",
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"name": "Google Sheets account"
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}
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}
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},
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{
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"parameters": {
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"options": {}
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"connections": {
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{
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"Wait": {
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"main": [
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[
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{
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"node": "Get LLM Crawl",
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"Get LLM Crawl": {
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{
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"main": [
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[
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{
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"node": "LLM Result",
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"Get row(s) in sheet": {
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"main": [
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"main": [
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[],
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[
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{
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"node": "Markdown Crawl Request",
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"LLM Result": {
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[
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{
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"node": "Loop Over Items",
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"active": false,
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"settings": {
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"executionOrder": "v1"
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"versionId": "89103fc7-3505-45a9-98b3-c82b01d10eb3",
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"meta": {
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"id": "r3mvCmZFRPHrWOGS",
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"tags": []
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}
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