Extracción de imágenes incrustadas en documentos de Google Drive
Este es unautomatización que contiene 11 nodos.Utiliza principalmente nodos como Webhook, SplitOut, GoogleDrive, HttpRequest, VlmRun. Extraer imágenes incrustadas de documentos de Google Drive usando VLM Run Agent
- •Punto final de HTTP Webhook (n8n generará automáticamente)
- •Credenciales de API de Google Drive
- •Pueden requerirse credenciales de autenticación para la API de destino
Nodos utilizados (11)
Categoría
{
"meta": {
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"id": "7af41587-fbd1-4ff4-9ccb-55fe5aaf9305",
"name": "Descargar archivo",
"type": "n8n-nodes-base.googleDrive",
"notes": "Downloads receipt files from Google Drive for AI processing.",
"position": [
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"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
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"options": {
"binaryPropertyName": "data"
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"operation": "download"
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"credentials": {
"googleDriveOAuth2Api": {
"id": "zYyIOFMdGz258avn",
"name": "Google Drive account 6"
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"typeVersion": 3
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{
"id": "c5fe1983-8614-4ab9-862e-315c2e5aecaa",
"name": "Extraer imágenes",
"type": "@vlm-run/n8n-nodes-vlmrun.vlmRun",
"position": [
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"parameters": {
"operation": "executeAgent",
"agentPrompt": "You are expert in extracting images from a document, complete the task accordingly so that urls can be extracted using json.body.response.extracted_images",
"agentCallbackUrl": "https://playground.attensys.ai/webhook/image-extract-via-agent"
},
"credentials": {
"vlmRunApi": {
"id": "B7ZYM8AfBgjnOEOl",
"name": "VLM Run account 5"
}
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{
"id": "fda11e43-0198-45e6-b26a-ae289e1b6bc4",
"name": "Descargar imagen",
"type": "n8n-nodes-base.httpRequest",
"position": [
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],
"parameters": {
"url": "={{ $json['body.response.extracted_images'] }}",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
}
},
"typeVersion": 4.2
},
{
"id": "0af9ff16-c3d3-4f6d-912c-de0b6efa7cec",
"name": "Guardar imagen",
"type": "n8n-nodes-base.googleDrive",
"position": [
64,
880
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"parameters": {
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "list",
"value": "1XD17_AMlTFIWCyhQjvbQnuGd7jkn91A-",
"cachedResultUrl": "https://drive.google.com/drive/folders/1XD17_AMlTFIWCyhQjvbQnuGd7jkn91A-",
"cachedResultName": "Extracted Image"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "zYyIOFMdGz258avn",
"name": "Google Drive account 6"
}
},
"typeVersion": 3
},
{
"id": "2cc88f73-15fb-4e54-817e-808335e5e59e",
"name": "Separar salida",
"type": "n8n-nodes-base.splitOut",
"position": [
-192,
880
],
"parameters": {
"options": {},
"fieldToSplitOut": "body.response.extracted_images"
},
"typeVersion": 1
},
{
"id": "da008962-c360-477b-98e4-1c327255092f",
"name": "Nota adhesiva",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"color": 7,
"width": 400,
"height": 608,
"content": "## 🟣 **Split, Download, Save**\n\n* ✂️ **Split Out** node iterates each link from `body.response.extracted_images`\n\nFor example- \n```json\n{\n \"image_urls\": [\n \"https://vlm.run/api/files/img1.jpg\",\n \"https://vlm.run/api/files/img2.jpg\"\n ]\n}\n```\n\n\n* ⬇️ **HTTP Request** downloads each image as a file\n\n* 💾 **Google Drive** node saves each image to the **Extracted Image** folder\n"
},
"typeVersion": 1
},
{
"id": "ead01399-4c0a-47f6-8e1d-92a35a3a5c57",
"name": "Nota adhesiva1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-608,
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],
"parameters": {
"width": 368,
"height": 608,
"content": "## 🟡 **Extract Images via VLM Run – Setup Guide**\n\n1. Set up an n8n Webhook node and copy its Production URL \n\n2. Configure a VLM Run agent with the image extraction prompt \n\n3. Paste the n8n URL into VLM Run’s Callback URL field \n\n4. Run the job on your document \n\n5. Receive extracted image URLs in n8n for processing.\n\n"
},
"typeVersion": 1
},
{
"id": "057cd13b-cd00-41b3-b5fb-2ff33a6a4fed",
"name": "Nota adhesiva2",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 7,
"width": 384,
"height": 608,
"content": "## 🟢 Monitor & Download\n\n* ⏱️ Google Drive Trigger checks the target folder every minute for **fileCreated** events\n\n* 🗂️ Trigger scope: the receipts folder you selected\n\n* 🔗 Passes the new file’s **id** to the next node\n\n* ⬇️ Google Drive node downloads the file as binary under **data**\n\n* 📦 Output: the binary file is ready for processing in the next step"
},
"typeVersion": 1
},
{
"id": "1fd80fe7-abf0-42a3-9755-29f9bef894f7",
"name": "Recibir enlaces de imágenes",
"type": "n8n-nodes-base.webhook",
"position": [
-384,
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],
"webhookId": "3f24a439-fa54-40c2-ab55-4488d5398469",
"parameters": {
"path": "image-extract-via-agent",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2.1
},
{
"id": "090c3b8d-eeb3-4b4a-bf49-47040a942590",
"name": "Nota adhesiva4",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 7,
"width": 992,
"height": 320,
"content": "## 🧾 Image Extraction Pipeline\n\n**Flow:** Google Drive upload → VLM Run extracts images → posts to n8n webhook → images split, downloaded, and saved to target Drive folder.\n\n**Use cases:** Receipts from PDFs, report images, ML-ready assets.\n\n**Requirements:**\n* VLM Run API credentials with access to Execute Agent\n\n* Google Drive OAuth2 for trigger, download, and save\n\n* n8n Webhook URL reachable at `image-extract-via-agent` (or other desired endpoint)\n\n* Proper folder IDs for the source watch folder and the destination folder\n"
},
"typeVersion": 1
},
{
"id": "c6b9a501-f300-48f5-8441-0ea6934ffa56",
"name": "Monitorear subidas",
"type": "n8n-nodes-base.googleDriveTrigger",
"notes": "Monitors Google Drive folder for new receipt uploads and triggers processing automatically.",
"position": [
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"parameters": {
"event": "fileCreated",
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
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]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "list",
"value": "1S6baavqJn98MjUlbB6KtmARCWuWEekIZ",
"cachedResultUrl": "https://drive.google.com/drive/folders/1S6baavqJn98MjUlbB6KtmARCWuWEekIZ",
"cachedResultName": "test_data"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "ZP9gjk9tgUdUxlxp",
"name": "Google Drive account 6"
}
},
"typeVersion": 1
}
],
"pinData": {},
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}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
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Intermedio
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Shahrear
@shahrearI’m Shahrear, a Software Engineer with over 5 years of experience in full-stack development and workflow automation. I specialize in building intelligent automations using n8n, helping teams streamline operations and boost productivity. I’m also an expert in developing custom n8n nodes, with published work on npm - including the @vlm-run/n8n-nodes-vlmrun package. Linkedin - https://www.linkedin.com/in/shahrear-amin/ Email - shahrearbinamin33@gmail.com
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