🎬 Create Kling 2.6 ad videos and post them to YouTube using the YouTube API
⚡ 40 views · 🎬 Content Creation & Video
💡 Pro Tip — YouTube’s API quotas can be a bottleneck when you’re pulling data at scale. ScraperNode is a community node with dedicated scrapers for channels, videos, and comments — no quota limits, just structured data.
Description
What it is
An automated workflow for creating Kling 2.6 videos and posting them to YouTube.
The workflow is divided into three main phases.
- Create Kling 2.6 Video
- Wait for Video Processing
- Post to YouTube
Create Kling 2.6 Video
This phase handles the initial video creation based on user input.
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Type Prompt: A form trigger allows the user to input details for the video, including:
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Prompt: A simple scenario for the video.
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Video Style: (e.g., Dialogue, Monologue, Advertisement, Documentary)
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Aspect Ratio: (e.g., 16:9, 9:16, 1:1)
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Videography (AI Refinement): Refines the user’s prompt into a detailed “script-to-screen” format suitable for video generation.
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FAL.AI Request: The refined prompt is sent to the Fal.ai Kling 2.6 model via an HTTP request to generate the video.
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Store Data: Details of the video request, including the date requested, the refined prompt, and the request URL, are stored in a Google Sheet.
Wait for Video Processing
Wait 5 mins: The workflow pauses for 5 minutes. This waiting period is necessary as it typically takes 3–5 minutes for the video to be ready after the generation request.
Post to YouTube
This phase focuses on generating YouTube SEO details and uploading the video.
YT Video SEO (AI Generation):
An AI agent (using OpenRouter’s OpenAI GPT-5 Mini model) acts as a YouTube SEO specialist and viral content strategist. It generates the following details for the YouTube video:
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Video Title: A compelling title (less than 6 words).
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Video Description: A detailed description.
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Video Tags: Relevant tags to maximize discoverability.
The AI agent is configured to follow guidelines for virality and YouTube’s tag limits.
Structured Output: Parses the structured JSON output from the AI agent.
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Get Keywords: Extracts and formats the video tags into a comma-separated list suitable for YouTube.
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Fetch Video Credentials: Fetches the video URL and other credentials from Fal.ai.
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Download Video: Downloads the generated video file.
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Post on YouTube: The video is uploaded to YouTube using the generated title, description, and tags.
Setup
To run this workflow, you need to set up credentials in n8n for:
OpenRouter: Generate API key from your OpenRouter account.
Google Sheets: Uses OAuth 2.0. Connect by authenticating your Google account.
YouTube Data API: Configure credentials to allow posting videos to YouTube.
đź”— Nodes Used
Google Sheets, HTTP Request, YouTube, AI Agent, Basic LLM Chain, Structured Output Parser
đź“Ą Import
Download workflow.json and import into n8n:
Workflow menu → Import from File