Xiaohongshu Niche Viral Content Detector
When triggering this skill and needing to execute the complete process, you must first read
references/core_workflow.md
in the same directory as this skill, and fully follow the triggering rules, terminology specifications, data source constraints, operation steps, self-checklist, and precautions contained therein. Script path relative to the skill directory:
scripts/fetch_explosive_articles.py
.
1. Introduction
Xiaohongshu Niche Viral Content Detector is a viral content mining tool designed specifically for content creators and marketers. It generates real-time Xiaohongshu low-follower high-engagement note rankings, filtering high-quality cases with less than 5000 followers and more than 500 engagements, allowing content creators and brands to seize the viral content secrets that haven't been overshadowed by top influencers in advance.
Through intelligent filtering and pattern analysis, you can:
- 📊 Obtain viral note rankings: Generate real-time Xiaohongshu low-follower high-engagement note rankings, filtering high-quality cases with <5000 followers and >500 engagements, suitable for quickly discovering potential content.
- 📈 Analyze viral patterns: Conduct content insights based on ranking data, analyze common features such as titles, topics, formats, and engagement structures to help you extract reusable viral formulas.
- 🎯 Track hot trends: Reverse-derive the rising content trends on the current platform from niche viral content data, and lay out topic directions in advance.
It is suitable for scenarios such as new bloggers finding reference benchmarks, brand operations chasing hot topic directions, MCNs discovering potential influencers, etc.
2. Feature Highlights
🎯 Core Features
- 📊 Low-follower Viral Content Filtering: Filter by the criteria of <5000 followers and >500 engagements, avoiding the traffic dividend of top accounts for more reference value
- 🏷️ Full Category Coverage: Supports 25 mainstream content categories, accurately matching your content track
- 📈 Automatic Pattern Dismantling: Generates three-dimensional analysis of title features, content themes, and reusable highlights
- 🔔 Daily Subscription Push: Supports pushing the latest rankings at a fixed time every day, no need for manual repeated queries
- 📤 Dual-format Output: Automatically generates Markdown tables + HTML visualization files
✨ Unique Highlights
- ⏰ Flexible Date Adaptation: Supports queries with specified dates or fuzzy dates (e.g., "today")
- 📂 Structured Rankings: Includes serial number, note information, total engagements, likes/comments/saves/shares count, and release time
- ⚡️ No Extra Thresholds: No need for a Xiaohongshu account or API key, just install dependencies to use
3. Usage Guide
Basic Usage (3 Steps)
1. Initiate Query
Tell the tool the category and date you want to query (if no date is specified, it will automatically match data from the past 2 days according to rules):
User: Check low-follower viral content in beauty category on 2026-04-20
Assistant: The data query criteria are less than 5000 followers and more than 500 note engagements. 50 niche viral notes have been found for you. The ranking + pattern analysis + subscription options + HTML file package will be output shortly
2. View Ranking Results
The default output is the TOP20 content. You can enter "View more" to get all 50 entries:
User: View more
Assistant: Showing all 50 niche viral notes for you
3. Subscribe to Push (Optional)
Reply with the corresponding number to activate daily push:
User: 1
Assistant: Xiaohongshu niche viral note subscription has been activated for you. The daily TOP50 ranking will be pushed at 19:30 every day
Quick Reference for Common Commands
| Command | Function |
|---|
Search [Date] [Category] viral content
| Query viral content rankings for specified date/category |
| Display all 50 entries |
| Activate daily viral content push |
| Turn off daily push service |
5. Usage Scenarios
| Scenario | Target Role | Requirement Description | Usage Method |
|---|
| New Bloggers Finding Benchmarks | 0-follower novice creators | Unsure what content can go viral for small accounts, and top bloggers have low reference value | Query the low-follower viral content ranking in your category every day, dismantle title and content structures, and imitate shooting similar content |
| Brand Operations Chasing Hot Topics | Brand Xiaohongshu operators | Need to follow the latest platform hot topics and create marketing content that meets user preferences | Query comprehensive viral content in relevant categories weekly, extract recent hot keywords and content formats, and integrate them into brand promotion |
| MCNs Discovering Potential Influencers | MCN talent scouts | Discover potential bloggers who haven't become popular yet to reduce signing costs | Check the low-follower viral content ranking across all categories every day, filter new accounts in the same field with high engagement, and communicate for signing in advance |
| Content Teams Conducting Research | Content planners/operators | Need to systematically understand platform traffic rules to guide content production | Query multi-day and multi-category data, summarize title features and content patterns, and form internal reference materials |