Automated Content Fetch and Summarization for Google Sheets

This workflow automates the process of fetching the latest blog posts, extracting their metadata, and summarizing the content using AI, then storing the results in Google Sheets. It is triggered on a schedule, making it ideal for maintaining an up-to-date content overview without manual effort.

The workflow begins with a Schedule Trigger node that initiates the process at set intervals. It then makes an HTTP request to retrieve recent posts (Look for Latest posts) and passes the data to the ‘Extract Post Metadata1’ node, which processes and formats the post data. Next, the data is split into individual posts by the ‘Seperate array into individual posts1’ node.

Each post is then analyzed using an AI language model (via the ‘AI Agent’ node), which communicates with the Google Vertex Chat Model. The output from the AI is parsed and structured by the ‘Structured Output Parser’ node, providing a clear summary or key points of each post.

Finally, the summarized data is appended to a Google Sheet for easy review and tracking. The ‘Code’ node can be used for additional data manipulation if needed.

This automation is particularly useful for content teams who want to keep track of new blog posts, generate summaries for quick review, or prepare content reports automatically, saving time and ensuring consistency in content monitoring.