{"workflow":{"id":12704,"name":"Generate product videos from images with BrowserAct and Google Drive","views":46,"recentViews":0,"totalViews":46,"createdAt":"2026-01-14T09:11:53.718Z","description":"## How it works\n\nThis workflow uses BrowserAct to run an AI-powered browser automation that collects structured product data, including image URLs and related metadata.\n\nThe workflow then:\n- Parses the BrowserAct output into individual product items\n- Iterates through each product entry\n- Downloads the product image and converts it into Base64 format\n- Sends the image together with a predefined prompt to an AI video generation API\n- Polls the generation status until the video is ready\n- Downloads the generated short video file\n- Uploads both the original product image and the generated video to Google Drive\n\nEach product is processed independently, making the workflow suitable for batch-based and scalable automation scenarios.\n\n## Set up steps\n\n- Connect your BrowserAct account to enable the browser-based data extraction workflow\n- Connect a Google Drive account where source images and generated videos will be stored\n- Review the input parameters provided by the BrowserAct node, such as target URL, search keyword, or data limit\n- Adjust the product processing limit or batch size if you want to control execution time\n- Run the workflow manually once to verify the output before using it in regular automation\n\nAdditional explanations and configuration details are provided as sticky notes directly inside the workflow.\n\n\nWorkflow Guidance and Showcase\nhttps://www.youtube.com/watch?v=XS5vyh-bdz0","workflow":{"id":"Tf5WXvTtXGlugu6f","meta":{"instanceId":"8727c5985d37ac81c88b5d17199bedc005056c07551fea699d1140f95e6b10c4"},"name":"BrowserAct Product Image to AI Video Automation","tags":[],"nodes":[{"id":"bab21957-2460-4d61-be9f-365703ac5ee5","name":"When clicking ‘Execute workflow’","type":"n8n-nodes-base.manualTrigger","position":[112,-128],"parameters":{},"typeVersion":1},{"id":"a6b5b7fd-fe58-44ce-ab6b-c2ed4acc912f","name":"Run a workflow","type":"n8n-nodes-browseract.browserAct","position":[320,-128],"parameters":{"type":"WORKFLOW","workflowId":"73948758645931553","workflowConfig":{"value":{},"schema":[{"id":"input-Target_URL","type":"string","display":true,"removed":true,"required":false,"description":"If left blank, the default value defined in BrowserAct will be used.","displayName":"Target_URL","defaultMatch":true},{"id":"input-Search_Keyword","type":"string","display":true,"removed":true,"required":false,"description":"If left blank, the default value defined in BrowserAct will be used.","displayName":"Search_Keyword","defaultMatch":true},{"id":"input-Data_Limit","type":"string","display":true,"removed":true,"required":false,"description":"If left blank, the default value defined in BrowserAct will be used.","displayName":"Data_Limit","defaultMatch":true}],"mappingMode":"defineBelow","matchingColumns":["input-Target_URL","input-Search_Keyword","input-Data_Limit"],"attemptToConvertTypes":false,"convertFieldsToString":false}},"credentials":{"browserActApi":{"id":"B9O5ngIi316K8Djm","name":"BrowserAct account"}},"typeVersion":1},{"id":"adaba9ad-f0c5-44a8-8d76-852a868e7bcb","name":"limit_products","type":"n8n-nodes-base.limit","position":[736,-128],"parameters":{"maxItems":2},"typeVersion":1},{"id":"4385e759-a72e-491a-ae2e-2a989347367b","name":"fetch_image","type":"n8n-nodes-base.httpRequest","position":[352,144],"parameters":{"url":"={{ $json.image_url }}","options":{}},"typeVersion":4.3},{"id":"9551dca5-8348-44ce-9d93-340608cd6a6b","name":"iterate_products","type":"n8n-nodes-base.splitInBatches","position":[112,128],"parameters":{"options":{}},"typeVersion":3},{"id":"b6b2366b-a97e-4392-8235-94396d6369de","name":"set_prompt","type":"n8n-nodes-base.set","position":[1136,144],"parameters":{"options":{},"assignments":{"assignments":[{"id":"8fcbcd5d-70c8-49ba-a819-6332efaf089d","name":"prompt","type":"string","value":"=Generate a professional 8-second e-commerce showcase video for this fashion/furniture item. 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Extract the JSON string returned by BrowserAct\nconst raw = $json.output.string;\n\n// 2. Parse it into a valid JavaScript object (array)\nlet products;\ntry {\n  products = JSON.parse(raw);\n} catch (e) {\n  throw new Error(\"JSON parse failed: \" + e.message);\n}\n\n// 3. Ensure the data is an array and convert it into n8n item format\nif (!Array.isArray(products)) {\n  throw new Error(\"Parsed data is not an array\");\n}\n\n// 4. Return the result as iterable n8n items\nreturn products.map(item => ({\n  json: item\n}));\n"},"typeVersion":2},{"id":"9627fb5b-99a4-45b9-8c08-89e55a49e00b","name":"Submit video generation request","type":"n8n-nodes-base.httpRequest","position":[112,400],"parameters":{"url":"https://generativelanguage.googleapis.com/v1beta/models/veo-3.1-generate-preview:predictLongRunning","method":"POST","options":{},"jsonBody":"={\n  \"instances\": [\n    {\n      \"prompt\": \"{{ $json.prompt }}\",\n      \"image\": {\n        \"mimeType\": \"image/jpeg\",\n        \"bytesBase64Encoded\":\"{{ $node['Convert image to Base64'].json.data }}\"\n      }\n    }\n  ],\n  \"parameters\": {\n    \"durationSeconds\": 8,\n    \"aspectRatio\": \"9:16\"\n  }\n}","sendBody":true,"specifyBody":"json","authentication":"genericCredentialType","genericAuthType":"httpHeaderAuth"},"credentials":{"httpHeaderAuth":{"id":"lBXHZz1YhUIXLhiC","name":"Header Auth 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