In the world of content management, the antiquated practice of manually posting and organizing LinkedIn videos is as obsolete as the typewriter. For content teams leveraging AITable.ai for project management, the daunting task of extensive content publishing and management is no longer a daunting endeavor. While some are still grappling with the tedious process of manually posting and categorizing their LinkedIn video content, you could be reaping the benefits of automation, freeing up time and resources for strategic planning and content creation.
This article offers a comprehensive guide on how to utilize automation for posting LinkedIn videos and subsequently updating the URLs on AITable.ai.
Leveraging the Power of AITable.ai
AITable.ai is a trailblazer in the realm of workflow automation. With a visual database that simplifies processes and a connectivity feature to over 6,000+ apps through Albato, Zapier, Make, Pabbly, and Activepieces, it has revolutionized the world of content management.
The specific automation process we’ll delve into today involves creating LinkedIn video posts using videos stored on Google Drive and text content stored on AITable.ai, and subsequently updating the unique URLs on AITable.ai.
A Comprehensive Guide to Automating LinkedIn Video Posting
Firstly, within AITable.ai, create a datasheet containing LinkedIn posting information. This should consist of a ‘select’ field, which can be named ‘status,’ indicating the status of video posting, with an option for ‘sent’. And a text field filled with the Google Drive video’s file ID.
Next, build a ‘send web request’ automation within AITable.ai, ensuring that participant information can be received by Make. Set the trigger to ‘Record Matches Conditions,’ which will activate when the status changes to ‘sent’.
Set the action to ‘send web request.’ Fill in the required information based on the configuration.
Subsequently, create a new Scenario in Make, choosing webhook as the first module. Select ‘custom webhook’ and generate a URL to be pasted back into the automation settings within AITable.ai.
Once you’ve successfully tested the data capture, the next module to select is Google Drive, with the action set to ‘Download a File’. Connect your Google Drive account and insert the Google Drive file ID variable. The ID is which you captured from the webhook, into the corresponding configuration field.
Please note the video file size limitations on Make plans:
- Free: 5 MB
- Core: 100 MB
- Pro: 250 MB
- Teams: 500 MB
- Enterprise: 1000 MB
For the third module, select LinkedIn, with the action set to ‘Create a User Video Post’. Connect your LinkedIn account, filling in the information as per the configuration panel, with the file set to Google Drive – Download a File. And the title and content corresponding to the AITable.ai variables.
The final module is AITable.ai, with the action set to ‘update a record.’ Connect your AITable.ai account. Note that in Make, a successful LinkedIn action will only return the Post ID, not the full post link. Therefore, the URL in the corresponding AITable URL column should be preceded by https://www.linkedin.com/feed/update/ in addition to the Post ID variable.
Once the test is successful, the workflow is complete.
The Significance of Automated Content Management with AITable.ai
AITable.ai is more than a tool for automating video posting and URL updating; it’s a revolution in content management. By streamlining these tasks, it significantly enhances efficiency, enabling your team to focus on strategic tasks. Whether it’s maximizing your content’s reach, elevating audience engagement, or effectively tracking your content’s performance, AITable.ai has got you covered. Automating LinkedIn video posting is a valuable time-saving strategy. In addition, it promotes consistency and accuracy in the content management process.
Conclusion
Don’t let the potential of your LinkedIn videos go to waste. Embrace the future of workflow automation with AITable.aiand revolutionize your video publishing and management process. The benefits aren’t just limited to saving time and resources; they extend to creating a more organized, efficient, and productive working environment.
So why wait? Begin your journey towards efficient content management today.