xiaohongshu-extractExtract metadata from Xiaohongshu (XHS) share or discovery URLs by parsing window.__INITIAL_STATE__ and returning note details. Use when asked to fetch XHS page content, note metadata, video info, or engagement stats from a public XHS link.
Install via ClawdBot CLI:
clawdbot install jovijovi/xiaohongshu-extractGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 17, 2026
Marketing agencies can use this skill to extract engagement metrics and content details from Xiaohongshu posts for competitor analysis and campaign performance tracking. It helps in identifying trending topics and user preferences by parsing metadata like likes, comments, and tags.
News or lifestyle platforms can integrate this skill to automatically fetch and display Xiaohongshu content, such as video streams and descriptions, for curated feeds. It enables real-time updates and structured data storage from public XHS URLs.
Retailers and brands can extract product reviews and user-generated content from Xiaohongshu to analyze consumer sentiment and identify popular items. The skill provides metadata like tags and engagement stats to inform inventory and marketing decisions.
Researchers can utilize this skill to collect data on user behavior and content trends from Xiaohongshu for studies in sociology or media analysis. It offers structured JSON output with timestamps and interaction counts for quantitative analysis.
Agencies managing influencers can automate the extraction of performance metrics from Xiaohongshu posts to track reach and engagement. The skill helps in generating reports based on video info and normalized stats for client evaluations.
Offer a subscription-based service where businesses access dashboards with extracted Xiaohongshu data for insights. Revenue is generated through tiered pricing based on data volume and features like real-time updates.
Provide this extraction skill as an API that developers can integrate into their applications, charging per API call or with usage-based plans. It enables scalable access to XHS metadata without manual scripting.
Collect and aggregate Xiaohongshu data using this skill, then sell curated datasets or insights to market research firms and advertisers. Revenue comes from one-time sales or licensing agreements for the data.
💬 Integration Tip
Ensure the input URL is a public Xiaohongshu share or discovery link; use the --error-json flag for debugging and handle missing video streams gracefully in downstream processes.
Scored Apr 19, 2026
Automate Xiaohongshu (RedNote) content operations using a Python client for the xiaohongshu-mcp server. Use for: (1) Publishing image, text, and video content, (2) Searching for notes and trends, (3) Analyzing post details and comments, (4) Managing user profiles and content feeds. Triggers: xiaohongshu automation, rednote content, publish to xiaohongshu, xiaohongshu search, social media management.
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