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Analyze High-Engagement X Posts with Apify and Generate Viral Content Reports for Kuse Library
This workflow helps you analyze trending content on X to identify high-performance hook patterns and engagement strategies. You can customize the search queries, engagement thresholds, and minimum follower counts to target specific niches or viral styles. It uses Apify to scrape real-time data from X, then ranks and filters the results based on custom engagement scores. In this example, the workflow identifies the top 10 most impactful posts using metrics like likes, retweets, and views. For each post, it generates a structured breakdown including author details, hook styles, and a brief analysis of why the content performed well, saving the final report to your library as a Markdown file.
What it does
1
Search X via Apify for high-engagement posts using specific language and engagement filters.
2
Rank and deduplicate results based on a custom engagement score involving likes, retweets, and replies.
3
Filter out low-quality content such as short replies and non-original posts.
4
Analyze the top 10 posts to identify hook styles, topic categories, and virality mechanics.
5
Verify the data integrity of each entry to ensure all key engagement signals are present.
6
Save the finalized intelligence report as a dated Markdown file to your Kuse Library.
Connectors
XApifyHow to use
1
Use the template
Click "Use this template" to open this workflow in Kuse and start from a ready-made setup.
2
Connect your accounts
Authorise the connectors listed above. Kuse guides you through each OAuth flow in the workflow editor.
3
Customise
Adjust the search criteria, output format, or schedule to fit your specific use case. All fields are editable.
4
Activate
Turn on the schedule or trigger the workflow manually from your Workflows dashboard to run it for the first time.
