This workflow follows the Google Docs → Google Sheets recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Scraping - News",
"nodes": [
{
"parameters": {
"rule": {
"interval": [
{}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.3,
"position": [
-1072,
-352
],
"id": "e8022acc-c36d-44bf-820f-eda0c4009300",
"name": "Obtener sitios de noticias"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"id": "b0e9bdb9-67ac-4e21-9d86-abb50321ebad",
"leftValue": "={{ $json.Url }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
}
},
{
"id": "bf5cec16-f185-4fc5-a6b0-f2c0e9bd4459",
"leftValue": "={{ $json.Url }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.filter",
"typeVersion": 2.3,
"position": [
-592,
-240
],
"id": "3425dd89-aadf-44f8-9efb-834e7810b121",
"name": "Validar URL"
},
{
"parameters": {
"content": "\ud83d\udcc2 FASE 1: Extracci\u00f3n y Validaci\u00f3n de Or\u00edgenes\nDescripci\u00f3n: Este bloque se encarga de leer la base de datos de configuraci\u00f3n con los portales de noticias objetivo y filtrar cualquier registro inv\u00e1lido o vac\u00edo para proteger la estabilidad del flujo.\nInputs: Google Sheets (urls_config)\nOutputs: Listado de URLs v\u00e1lidas listas para procesar (3 items).",
"height": 496,
"width": 704
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-1152,
-480
],
"typeVersion": 1,
"id": "e6710995-ad19-4235-aec0-2f37c5144825",
"name": "Sticky Note"
},
{
"parameters": {
"url": "={{ $json.Url }}",
"options": {}
},
"type": "n8n-nodes-base.rssFeedRead",
"typeVersion": 1.2,
"position": [
-384,
-240
],
"id": "8d7fb039-b208-4d75-891c-4a842cb964b5",
"name": "Extraer Noticias de URLs",
"onError": "continueErrorOutput"
},
{
"parameters": {
"jsCode": "// 1. Palabras clave para el filtrado tem\u00e1tico strico\nconst palabrasClave = [\n 'guerra', 'conflicto', 'elecciones', 'tratado', 'sanciones', 'cumbre', 'alianza', 'otan',\n 'ia', 'inteligencia artificial', 'software', 'ciberseguridad', 'chips', 'tecnolog\u00eda', 'tech',\n 'mercado', 'inflaci\u00f3n', 'tasas', 'banco', 'acciones', 'petr\u00f3leo', 'd\u00f3lar', 'econom\u00eda', 'finanzas', 'euro'\n];\n\nconst todosLosItems = $input.all();\nconst conteoFuentes = {};\nconst noticiasFiltradas = [];\n\nfor (const item of todosLosItems) {\n const titulo = (item.json.title || '').toLowerCase();\n const contenido = (item.json.content || item.json.contentSnippet || item.json.summary || '').toLowerCase();\n \n // Extraemos el dominio base para identificar la fuente de forma limpia\n const urlRaw = item.json.link ? item.json.link.toLowerCase() : '';\n let fuente = 'Desconocido';\n\n if (urlRaw.includes('bbc')) {\n fuente = 'BBC';\n } else if (urlRaw.includes('elmundo')) {\n fuente = 'El Mundo';\n }\n\n // Control estricto de cuota: M\u00e1ximo 6 art\u00edculos por medio oficial\n if (conteoFuentes[fuente] >= 6) continue;\n\n // Validaci\u00f3n de relevancia por palabras clave\n const esRelevante = palabrasClave.some(palabra => titulo.includes(palabra) || contenido.includes(palabra));\n\n if (esRelevante) {\n if (!conteoFuentes[fuente]) conteoFuentes[fuente] = 0;\n \n conteoFuentes[fuente]++;\n noticiasFiltradas.push(`- T\u00edtulo: ${item.json.title}\\n Fuente: ${fuente}\\n Link: ${item.json.link}`);\n }\n}\n\n// Consolidaci\u00f3n de salida en formato String plano optimizado para LLMs\nconst listaFinalTexto = noticiasFiltradas.join('\\n\\n');\n\nreturn [{ json: { listaNoticias: listaFinalTexto, totalProcesadas: noticiasFiltradas.length } }];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-160,
-384
],
"id": "993e5b3f-eeca-4096-8f7d-0dca3be1e99e",
"name": "Formatear y Filtrar Noticias"
},
{
"parameters": {
"jsCode": "// 1. Obtenemos el texto que gener\u00f3 la IA con la ruta directa del item\nconst textoGemini = $input.item.json.output[0].content[0].text;\n\n// 2. Lo convertimos en objeto JSON\nconst reporteLimpio = JSON.parse(textoGemini);\nconst filasParaGoogleSheets = [];\n\n// 3. Recorremos las categor\u00edas\nfor (let seccion of reporteLimpio.sections) {\n \n // Recorremos CADA noticia/an\u00e1lisis individual dentro de esa categor\u00eda\n if (seccion.analysis && seccion.analysis.length > 0) {\n for (let bloqueAnalisis of seccion.analysis) {\n \n const resumenTexto = bloqueAnalisis.summary;\n \n // Extraemos el link \u00fanico de forma limpia y sin espacios fantasmas\n let linkUnico = \"\";\n if (bloqueAnalisis.sources && bloqueAnalisis.sources.length > 0) {\n linkUnico = bloqueAnalisis.sources[0].link.trim();\n }\n\n // 4. Creamos la fila perfecta e independiente\n filasParaGoogleSheets.push({\n json: {\n categoria: seccion.category,\n resumen: resumenTexto,\n fuentes: linkUnico\n }\n });\n }\n }\n}\n\n// Devolvemos los datos listos para Google Sheets\nreturn filasParaGoogleSheets;"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
400,
-384
],
"id": "892e277d-2314-46ed-aa2d-f927a6ec539d",
"name": "Parsear Reporte de IA"
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "14fgZXkwZ0t-lnFgJqCTOTtM29UU0VWTHEHlLC-0oGaI",
"mode": "list",
"cachedResultName": "Scraping News",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/14fgZXkwZ0t-lnFgJqCTOTtM29UU0VWTHEHlLC-0oGaI/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": 1234777605,
"mode": "list",
"cachedResultName": "Reporte_IA",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/14fgZXkwZ0t-lnFgJqCTOTtM29UU0VWTHEHlLC-0oGaI/edit#gid=1234777605"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Categoria": "={{ $json.categoria }}",
"Resumen": "={{ $json.resumen }}",
"Fuentes": "={{ $json.fuentes }}"
},
"matchingColumns": [],
"schema": [
{
"id": "Categoria",
"displayName": "Categoria",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Resumen",
"displayName": "Resumen",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Fuentes",
"displayName": "Fuentes",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.7,
"position": [
816,
-384
],
"id": "d027fd4d-571d-4c04-a1aa-631b5da3138c",
"name": "Append row in sheet",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "clear",
"documentId": {
"__rl": true,
"value": "14fgZXkwZ0t-lnFgJqCTOTtM29UU0VWTHEHlLC-0oGaI",
"mode": "list",
"cachedResultName": "Scraping News",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/14fgZXkwZ0t-lnFgJqCTOTtM29UU0VWTHEHlLC-0oGaI/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": 1234777605,
"mode": "list",
"cachedResultName": "Reporte_IA",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/14fgZXkwZ0t-lnFgJqCTOTtM29UU0VWTHEHlLC-0oGaI/edit#gid=1234777605"
},
"clear": "specificRange",
"range": "A2:C"
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.7,
"position": [
608,
-384
],
"id": "6d7d9b1a-5010-4249-a70d-a87603bcffcd",
"name": "Clear sheet",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "\ud83d\udd0d SUBFASE 1B: FILTRADO Y EXTRACCI\u00d3N DE TEXTO CRUDO\n- Operaci\u00f3n: Procesamiento y filtrado de URLs de noticias recopiladas.\n- Objetivo: Limpiar metadatos, estructurar el payload de texto y consolidar la informaci\u00f3n antes de enviarla al modelo de IA.",
"height": 496,
"width": 1376,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-432,
-480
],
"typeVersion": 1,
"id": "37cc092c-1361-4243-a7dd-bcb9d0511b14",
"name": "Sticky Note1"
},
{
"parameters": {
"operation": "scrape",
"url": "={{ $json.Fuentes }}",
"requestOptions": {}
},
"type": "@mendable/n8n-nodes-firecrawl.firecrawl",
"typeVersion": 1,
"position": [
1024,
-384
],
"id": "0789139d-288b-4950-9e49-2bb622058c4a",
"name": "Extraer Contenido Completo (Firecrawl)",
"retryOnFail": true,
"credentials": {
"firecrawlApi": {
"name": "<your credential>"
}
},
"onError": "continueRegularOutput"
},
{
"parameters": {
"jsCode": "// Inicializamos la variable para acumular el texto\nlet texto_final = \"\";\n\n// 1. Obtenemos todos los items de entrada de forma moderna\nconst items = $input.all();\n\n// 2. Recorremos cada uno de los reportes que vienen de la IA\nfor (let i = 0; i < items.length; i++) {\n // Extraemos el texto limpio usando la ruta exacta de la nueva interfaz\n let noticia = items[i].json.output[0].content[0].text;\n \n // Lo suma al reporte final separando cada noticia con una l\u00ednea\n texto_final += noticia + \"\\n\\n===================================\\n\\n\";\n}\n\n// 3. Devolvemos un solo bloque de texto consolidado\nreturn [{\n json: {\n reporte_completo: texto_final\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1760,
-384
],
"id": "bdf96652-7fc6-43c9-9125-f11280b13afb",
"name": "Unificar Reporte (Consolidador)"
},
{
"parameters": {
"content": "SUBFASE 2: PROCESAMIENTO CON IA Y EXPORTACI\u00d3N FINAL\nOperaci\u00f3n: Scraping profundo del contenido de las URLs, limpieza de formato web mediante Inteligencia Artificial y consolidaci\u00f3n de datos.\nObjetivo: Transformar el texto crudo en un reporte estructurado y de f\u00e1cil lectura, guard\u00e1ndolo autom\u00e1ticamente en el documento maestro de Google Docs.",
"height": 496,
"width": 1392,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"position": [
976,
-480
],
"typeVersion": 1,
"id": "e48b2424-1317-4b2c-8e2a-9cc6dc536bbc",
"name": "Sticky Note2"
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "gpt-4.1-mini",
"mode": "list",
"cachedResultName": "GPT-4.1-MINI"
},
"responses": {
"values": [
{
"content": "=Act\u00faa como un editor de noticias profesional. Tu \u00fanico trabajo es limpiar, resumir y estructurar el siguiente texto crudo (lleno de HTML/Markdown) para que se lea perfecto en un reporte de TEXTO PLANO.\n\nAplica ESTRICTAMENTE estas reglas:\n1. PROHIBIDO EL MARKDOWN: Elimina por completo cualquier asterisco (*), almohadilla (#), corchete ([]), par\u00e9ntesis de enlaces (()) o etiquetas de c\u00f3digo. No dejes rastros de formato web.\n2. T\u00cdTULO PRINCIPAL: Identifica el t\u00edtulo de la noticia y escr\u00edbelo TODO EN MAY\u00daSCULAS SOSTENIDAS.\n3. DATOS CLAVE: Inmediatamente debajo del t\u00edtulo, coloca el autor, fuente y fecha (si est\u00e1n disponibles) usando un guion simple. Ejemplo: \"- Fuente: BBC | Autor: John Doe\".\n4. LIMPIEZA DE BASURA: Elimina frases inservibles como \"Tiempo de lectura\", \"Pie de foto\", \"Compartir art\u00edculo\", \"Suscr\u00edbete\" o textos sueltos de im\u00e1genes.\n5. CUERPO DE LA NOTICIA: Deja solo el texto real de la noticia. Aseg\u00farate de que haya un (1) salto de l\u00ednea claro entre cada p\u00e1rrafo para que el texto respire.\n\nNo agregues saludos, introducciones ni despedidas tuyas. Devuelve \u00daNICAMENTE la noticia limpia.\n\nAqu\u00ed est\u00e1 el texto a procesar: {{ $json.data.markdown }}"
}
]
},
"builtInTools": {},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 2.1,
"position": [
1440,
-384
],
"id": "067daee0-8d45-494b-805c-4db47d64317c",
"name": "Procesar Contenido Web (OpenAI)",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "update",
"documentURL": "={{ $json.id }}",
"actionsUi": {
"actionFields": [
{
"action": "insert",
"text": "={{ $('Unificar Reporte (Consolidador)').item.json.reporte_completo }}"
}
]
}
},
"type": "n8n-nodes-base.googleDocs",
"typeVersion": 2,
"position": [
2192,
-384
],
"id": "86ee0804-7e86-4d15-ba3e-3dbc1acc9d24",
"name": "A\u00f1adir Reporte Final a Doc",
"credentials": {
"googleDocsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"folderId": "1M2ffk4h2cxGN7NBnnfTwSZ8kjZ6acEBO",
"title": "={{ $now.format('yyyy-MM-dd HH:mm') }} - Scraping News"
},
"type": "n8n-nodes-base.googleDocs",
"typeVersion": 2,
"position": [
1984,
-384
],
"id": "109910d4-8374-43ec-8b17-8471ed563a7d",
"name": "Crear Documento de Reporte",
"executeOnce": false,
"credentials": {
"googleDocsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"documentId": {
"__rl": true,
"value": "14fgZXkwZ0t-lnFgJqCTOTtM29UU0VWTHEHlLC-0oGaI",
"mode": "list",
"cachedResultName": "Scraping News",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/14fgZXkwZ0t-lnFgJqCTOTtM29UU0VWTHEHlLC-0oGaI/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "urls_config",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/14fgZXkwZ0t-lnFgJqCTOTtM29UU0VWTHEHlLC-0oGaI/edit#gid=0"
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.7,
"position": [
-800,
-240
],
"id": "d8e7fadd-a643-4311-a413-3f838c3b85a9",
"name": "Leer URLs de Configuraci\u00f3n",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-1072,
-128
],
"id": "b9067774-905c-4a44-a733-8d2b40e30823",
"name": "Gatillar Workflow"
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "gpt-4.1-mini",
"mode": "list",
"cachedResultName": "GPT-4.1-MINI"
},
"responses": {
"values": [
{
"content": "=Act\u00faa como un Analista de Inteligencia Geopol\u00edtica y Tecnol\u00f3gica Senior. Tu tarea es procesar el siguiente listado de noticias filtradas y generar un reporte ejecutivo estructurado de forma estrictamente individual.\n\nInstrucciones de formato:\n1. Divide el reporte en categor\u00edas l\u00f3gicas (ej: Geopol\u00edtica Mundial, Pol\u00edtica Regional y Nacional, Tecnolog\u00eda y Defensa, Asuntos Sociales y Otros).\n2. Procesa cada noticia de manera \u00daNICA e INDEPENDIENTE. Est\u00e1 estrictamente prohibido unificar, consolidar o mezclar noticias diferentes en un solo an\u00e1lisis, incluso si hablan del mismo tema.\n3. Para cada noticia individual del listado, debes generar un elemento independiente con su propio resumen anal\u00edtico exclusivo y su enlace original correspondiente en el campo 'link'.\n4. Usa un tono corporativo, profesional, directo y conciso.\n\nIMPORTANTE: Debes responder \u00fanica y exclusivamente con un objeto JSON v\u00e1lido, respetando la estructura del siguiente esquema de ejemplo:\n\n{\n \"sections\": [\n {\n \"category\": \"Nombre de la Categor\u00eda\",\n \"analysis\": [\n {\n \"summary\": \"Resumen anal\u00edtico exclusivo de la noticia 1.\",\n \"sources\": [\n {\n \"title\": \"T\u00edtulo de la noticia 1\",\n \"link\": \"URL_DE_LA_NOTICIA_1\",\n \"source\": \"Medio\"\n }\n ]\n },\n {\n \"summary\": \"Resumen anal\u00edtico exclusivo de la noticia 2 (aunque sea del mismo tema).\",\n \"sources\": [\n {\n \"title\": \"T\u00edtulo de la noticia 2\",\n \"link\": \"URL_DE_LA_NOTICIA_2\",\n \"source\": \"Medio\"\n }\n ]\n }\n ]\n }\n ]\n}\n\nAqu\u00ed tienes el listado de noticias procesadas para analizar: {{ $json.listaNoticias }}"
}
]
},
"builtInTools": {},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 2.1,
"position": [
64,
-384
],
"id": "1353e493-e9b1-4020-8973-09d1cd279c1b",
"name": "Filtrar Relevancia con IA (OpenAI)",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"id": "a37dc467-c415-44f5-a892-e52e0470bd64",
"leftValue": "={{ $json.success }}",
"rightValue": "",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.3,
"position": [
1232,
-224
],
"id": "5687d032-4984-4f01-b5db-eccd8013b683",
"name": "Filtrar Scraping Exitoso"
}
],
"connections": {
"Validar URL": {
"main": [
[
{
"node": "Extraer Noticias de URLs",
"type": "main",
"index": 0
}
]
]
},
"Extraer Noticias de URLs": {
"main": [
[
{
"node": "Formatear y Filtrar Noticias",
"type": "main",
"index": 0
}
],
[]
]
},
"Formatear y Filtrar Noticias": {
"main": [
[
{
"node": "Filtrar Relevancia con IA (OpenAI)",
"type": "main",
"index": 0
}
]
]
},
"Parsear Reporte de IA": {
"main": [
[
{
"node": "Clear sheet",
"type": "main",
"index": 0
}
]
]
},
"Clear sheet": {
"main": [
[
{
"node": "Append row in sheet",
"type": "main",
"index": 0
}
]
]
},
"Append row in sheet": {
"main": [
[
{
"node": "Extraer Contenido Completo (Firecrawl)",
"type": "main",
"index": 0
}
]
]
},
"Extraer Contenido Completo (Firecrawl)": {
"main": [
[
{
"node": "Filtrar Scraping Exitoso",
"type": "main",
"index": 0
}
]
]
},
"Unificar Reporte (Consolidador)": {
"main": [
[
{
"node": "Crear Documento de Reporte",
"type": "main",
"index": 0
}
]
]
},
"Procesar Contenido Web (OpenAI)": {
"main": [
[
{
"node": "Unificar Reporte (Consolidador)",
"type": "main",
"index": 0
}
]
]
},
"Crear Documento de Reporte": {
"main": [
[
{
"node": "A\u00f1adir Reporte Final a Doc",
"type": "main",
"index": 0
}
]
]
},
"Leer URLs de Configuraci\u00f3n": {
"main": [
[
{
"node": "Validar URL",
"type": "main",
"index": 0
}
]
]
},
"Gatillar Workflow": {
"main": [
[
{
"node": "Leer URLs de Configuraci\u00f3n",
"type": "main",
"index": 0
}
]
]
},
"Filtrar Relevancia con IA (OpenAI)": {
"main": [
[
{
"node": "Parsear Reporte de IA",
"type": "main",
"index": 0
}
]
]
},
"Filtrar Scraping Exitoso": {
"main": [
[
{
"node": "Procesar Contenido Web (OpenAI)",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1",
"availableInMCP": false
},
"versionId": "35e11149-1fbd-485b-b4e7-6b3c7f21c1c1",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "7VpFouufRzlm2oz9f0Mrb",
"tags": [
{
"updatedAt": "2026-06-11T23:58:23.134Z",
"createdAt": "2026-06-11T23:58:23.134Z",
"id": "O1OPciAxU5iiNslf",
"name": "scraping"
}
]
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
firecrawlApigoogleDocsOAuth2ApigoogleSheetsOAuth2ApiopenAiApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Scraping - News. Uses rssFeedRead, googleSheets, @mendable/n8n-nodes-firecrawl, openAi. Scheduled trigger; 19 nodes.
Source: https://github.com/Markusams1984/n8n-ai-news-scraper-automation/blob/main/n8n_ai_news_scraper.json — original creator credit. Request a take-down →
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