Block 1 - Schedule Trigger
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
Overview of the Workflow The automation process consists of four main steps: 1. Get Longform : Retrieve the long form video data (e.g., from Google Sheets). 2. Analyze Longform : Use Clap to analyz...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.googlesheets, n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.if, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Sebastian/OptiLever.
Original n8n.io sourceThe automation process consists of four main steps:
Each step is handled by specific nodes in n8n, a no-code automation tool, making the entire process accessible even if you’re not tech-savvy. The workflow is visually represented in the provided n8n screenshot, with nodes connected to show the flow of data and actions.
Start the automation and retrieve the long-form video data.
This step ensures the automation starts automatically and pulls the correct video for processing, saving you from manual intervention.
Use Clap to analyze the long-form video and generate short clips.
Clap’s AI identifies key moments and generates clips, saving hours of manual editing. The wait and status nodes ensure the workflow progresses only when ready.
Export the generated clips for publishing.
This step finalizes the clips, making them ready for publishing, with wait nodes preventing premature progression.
Update the video’s status in Google Sheets and publish the clips to social media.
This step automates publishing across multiple platforms and keeps your workflow organized by updating statuses.
This workflow leverages n8n and Klap to streamline short-form content creation, making it ideal for content creators looking to maximize their long-form videos. If you need further clarification or help with specific nodes, let me know!
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Auto-extract & distribute video clips to multiple social platforms with Klap AI |
|---|---|
| Complexity | advanced |
| Nodes | 24 |
| Categories | Content Creation, Multimodal AI |
| Author | Sebastian/OptiLever |
| Published | 05 Jul 2025 |
Use the JSON export at /data/workflows/5698/5698.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Overview of the Workflow The automation process consists of four main steps: 1. Get Longform : Retrieve the long form video data (e.g., from Google Sheets). 2. Analyze Longform : Use Clap to analyz...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.