Library / Monitoring, Ops & Incidents
Monitoring, Ops & Incidents
Monitor X for Relevant Community Posts with Airtop
When called by another workflow, Airtop opens X, extracts recent posts, filters out irrelevant ones, and returns the relevant community posts as structured data.
What it does
README # Monitor X for Relevant Community 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: - airtop_profile — An Airtop browser profile authenticated on X - x_url — X search URL (e.g., https://x.com/search?q=ai agents&f=live) - relevant_categories — 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). 4. Workflow designed to be triggered externally, not run standalone. ## 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.
The steps
- When Executed by Another Workflow
- Extract posts
- Session
- Window
- End session
- Filter out [NA] posts
- Parse JSON output
- Inputs
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