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
- Trigger: This workflow is triggered by another workflow (e.g., a community engagement pipeline).
- Input Setup: Accepts the Airtop profile, search URL, and categories to use for classification.
- Session: Starts a browser session using the Airtop profile.
- Window Navigation: Opens the provided X search URL.
- Extraction: Scrapes up to 10 posts with
/status/
in the URL and text in English.
- Classification: Each post is labeled with a category if relevant, or
[NA]
otherwise.
- Filtering: Discards
[NA]
posts.
- Output: Returns the list of classified posts.
Setup Requirements
- Airtop profile with an active X login.
- Airtop API key connected in n8n.
- 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.
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