Automated YouTube video scheduling & AI metadata generation 🎬
This workflow transforms YouTube channel management by automatically generating SEO-rich metadata from video transcripts using AI. It streamlines the publishing process by handling scheduling and branding, allowing creators to focus on content while the automation ensures consistent, professional uploads. Boost your channel's reach effortlessly with this end-to-end video optimization engine.
Run this with your team's AIWhat This Recipe Does
The YouTube Content Intelligence automation transforms how marketing teams monitor and leverage video content. By automating the extraction and processing of YouTube data, this workflow eliminates the manual effort required to track competitors, monitor brand mentions, or gather industry insights. It systematically fetches video details, handles high volumes of data through intelligent batching, and removes duplicates to ensure your dataset remains clean and actionable. Instead of spending hours browsing channels and manually logging information, your team receives a structured feed of intelligence ready for analysis. This automation allows you to stay ahead of market trends, identify high-performing content patterns, and react to new video releases in real-time. By bridging the gap between raw video data and business strategy, you can optimize your content production and competitive positioning with data-driven precision.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Google-gemini, Http connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Google-gemini and Http once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Marketing Managers who need to track competitor video performance and content themes without manual searching.
- Content Creators who want to aggregate trending topics and video metadata to inform their production calendar.
- Brand Protection Officers who need to monitor YouTube for specific mentions or keywords across a wide range of channels.
Frequently Asked Questions
Do I need to manually trigger the data collection every time?
No, the workflow includes a schedule trigger that allows you to automate data collection at specific intervals, such as daily or weekly.
Can I filter the types of videos that are processed?
Yes, the integrated filtering and logic nodes allow you to set specific criteria so you only collect data that is relevant to your business goals.
How does the system handle large volumes of video data?
The automation uses batch processing and duplicate removal to ensure that even large channels or extensive search results are handled efficiently without crashing or creating messy data.
Can I connect this data to my existing CRM or reporting tools?
The workflow uses standard HTTP requests, meaning the processed YouTube data can be sent directly to your preferred database, spreadsheet, or marketing dashboard.
Coming from n8n?
This recipe uses nodes like YouTube, SplitInBatches, Langchain.openAi, ManualTrigger and 10 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
Related Recipes
Retweet cleanup with scheduling for X/Twitter
Maintaining a professional and focused brand presence on X requires a curated feed that highlights your original insights rather than a cluttered history of old retweets. The Automated Retweet Cleanup for X Accounts allows businesses and personal brands to automatically purge shared content after it has served its purpose. By scheduling regular cleanups, you ensure that your profile remains streamlined and relevant to new followers who are auditing your expertise. This automation systematically scans your account, identifies retweets based on your specific criteria, and removes them without requiring manual oversight. Beyond just tidying your timeline, the workflow includes error handling and Slack notifications to keep you informed of the process. This tool is essential for marketing teams who want to maintain a high-signal-to-noise ratio on social media while protecting their brand's long-term digital footprint.
Extract and merge Twitter (X) threads using TwitterAPI.io
The Twitter Thread Fetcher is a specialized automation designed to solve the problem of fragmented social media content. Instead of manually copying and pasting individual tweets from a long thread, this automation systematically extracts every post in a sequence and merges them into a single, cohesive document. This is particularly valuable for content marketers and researchers who need to archive high-performing social content or repurpose Twitter insights for other platforms like blogs, newsletters, or internal knowledge bases. By automating the retrieval process, businesses can save significant time and ensure that no part of a valuable discussion or announcement is lost. The automation handles the technical complexity of connecting to the Twitter API and restructuring the data, providing a clean, ready-to-use text output that preserves the original narrative flow of the thread.
Auto-post breaking news content using Perplexity AI to X (Twitter)
Maintaining a consistent and authoritative presence on social media is essential for brand growth, yet manually scouring the web for relevant news is a significant time sink. This automation bridges the gap between information gathering and content distribution by leveraging Perplexity AI to research current events and automatically drafting and posting updates to X (Twitter). Instead of spending hours each morning looking for industry trends, this workflow proactively identifies timely topics based on your specific criteria and shares them with your audience. By automating the research-to-publication pipeline, businesses can ensure they remain at the forefront of industry conversations without diverting resources from high-level strategy. This system transforms your social media profile into a real-time information hub, increasing engagement and establishing your brand as a thought leader in your niche. The result is a streamlined marketing operation that delivers consistent value to followers while operating entirely in the background.
Automated AI news curation and LinkedIn posting with GPT-5 and Firebase
Maintaining a consistent presence on LinkedIn is essential for brand authority, yet manual posting often falls by the wayside during busy work weeks. The LinkedIn Autoposting Workflow transforms your content strategy into a hands-free operation. By integrating your content repository with LinkedIn's professional network, this automation ensures your insights, updates, and articles are published at the optimal times without requiring manual intervention. The system pulls prepared content from your database, processes the formatting, and delivers it directly to your profile or company page. This eliminates the friction of daily logins and the risk of forgetting to post. For business leaders and marketing teams, this means more time focused on high-level strategy and engagement while the system handles the repetitive task of distribution. By automating the delivery pipeline, you maintain a steady stream of communication with your professional network, driving consistent visibility and lead generation.
Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork