This n8n workflow automates the process of scheduling and posting videos across multiple social media platforms, triggered by new files uploaded to a specific Google Drive folder. It streamlines multimedia content management by downloading videos, extracting scheduling details, converting formats, and dynamically scheduling posts with pre-configured settings.
The workflow begins with a Google Drive trigger that detects new video files, specifically watching a designated folder. It then downloads the new video file and extracts the scheduled posting time from the associated data. Several sticky notes serve as informational prompts for users to configure platform-specific post settings such as privacy, comments, and content type.
The extracted date and time are processed using an AI language model which can interpret natural language date/time inputs. The workflow splits the data for multiple social platforms, applying filters to determine which platform each post should be scheduled on based on its identifier (e.g., TikTok, YouTube, Facebook, Instagram, Threads). For each platform, the workflow adjusts post-specific settings like privacy, content type, and post method.
Using Postiz’s API, it uploads the video content, either directly or after format conversion (e.g., to MP4 using CloudConvert). It then schedules posts on each targeted social media platform, passing all relevant settings and media content. For safety and confirmation, it sends an email via Gmail, asking for human verification of the post details before scheduling.
This workflow is particularly useful for content creators or social media managers who want to automate video distribution across multiple channels while maintaining control over scheduling and platform-specific settings, maximizing efficiency and consistency in content publishing.
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