This workflow is designed to automatically extract and analyze posts from Donald Trump’s Truth Social account, providing real-time insights into their potential impact on the U.S. stock market. Starting with a manual trigger, it interacts with Airtop to create a browser session, navigate to Trump’s profile, and extract up to six recent posts using AI-powered prompts. The extracted data includes author details, images, post content, post URLs, and estimated market impact—classified by direction (positive, negative, neutral) and magnitude (None, Small, Medium, Large). After extraction, the workflow filters posts that contain meaningful content and have a non-zero market impact, then splits these into individual items. The key insights are sent to a Slack channel for quick review, while the Airtop session is properly terminated to ensure resource cleanup. This automation is ideal for financial analysts, political watchers, or trading teams who want timely, automated updates on high-profile social media communications that could influence market movements.
Automated Monitoring of Trump’s Truth Social Posts
Node Count | 11 – 20 Nodes |
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Nodes Used | airtop, filter, manualTrigger, scheduleTrigger, slack, splitOut, stickyNote |
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