Real-time X post monitoring & auto-categorization with Airtop

Monitor X for Relevant Posts Use Case This automation monitors X (formerly Twitter) search pages in real time and extracts high-signal posts that match your categories of interest. It’s ideal for community engagement, lead discovery, thought leadership tracking, or competitive analysis. What This Automation Does Given a search URL and a list of categories, it: - Logs into X using Airtop - Opens the specified search URL - Scrolls through the results - Extracts up to 10 valid, English-language posts - Filters and classifies each post by category (or marks as [NA] if unrelated) - Returns the structured results as JSON Input parameters: - airtopprofile — An Airtop browser profile authenticated on X - xurl — X search URL (e.g., agents&f=live) - relevantcategories — Text-based list of categories to classify posts (e.g., "Web automation use cases", "Thought leadership") Output: A JSON array of posts, each with: - writer - time - text - url - category How It Works 1. Trigger: This workflow is triggered by another workflow (e.g., a community engagement pipeline). 2. Input Setup: Accepts the Airtop profile, search URL, and categories to use for classification. 3. Session: Starts a browser session using the Airtop profile. 4. Window Navigation: Opens the provided X search URL. 5. Extraction: Scrapes up to 10 posts with /status/ in the URL and text in English. 6. Classification: Each post is labeled with a category if relevant, or [NA] otherwise. 7. Filtering: Discards [NA] posts. 8. Output: Returns the list of classified posts. Setup Requirements 1. Airtop profile with an active X login. 2. Airtop API key connected in n8n. 3. List of category definitions to guide post classification (used in prompt). Next Steps - Feed into Engagement Workflows: Pass the results to workflows that reply, retweet, or track posts. - Use in Slack Alerts: Push classified posts into Slack channels for review and reaction. - Customize Classifier: Refine the categorization logic to include sentiment or company mentions. Read more about Monitoring X for Relevant Posts