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:

• 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).

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