xiaohongshutoolsXiaoHongShu (Little Red Book) data collection and interaction toolkit. Use when working with XiaoHongShu (小红书) platform for: (1) Searching and scraping notes/posts, (2) Getting user profiles and details, (3) Extracting comments and likes, (4) Following users and liking posts, (5) Fetching home feed and trending content. Automatically handles all encryption parameters (cookies, headers) including a1, webId, x-s, x-s-common, x-t, sec_poison_id, websectiga, gid, x-b3-traceid, x-xray-traceid. Supports guest mode and authenticated sessions via web_session cookie.
Install via ClawdBot CLI:
clawdbot install chocomintx/xiaohongshutoolsGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Feb 27, 2026
Brands can use this skill to monitor mentions, track trending topics, and analyze competitor posts on Xiaohongshu. It enables automated collection of notes and comments for sentiment analysis and market research, helping brands stay updated on consumer preferences and industry trends.
Marketing agencies can leverage this skill to identify potential influencers by scraping user profiles, analyzing engagement metrics like likes and comments, and automating follow actions. This streamlines influencer discovery and outreach for targeted campaigns.
Content creators and media companies can use this skill to gather trending content from home feeds, analyze popular keywords, and extract note details to inform content creation. It helps in understanding what resonates with audiences and optimizing posting strategies.
Researchers can employ this skill to collect large-scale data from Xiaohongshu for studies on consumer behavior, cultural trends, or platform dynamics. It supports automated data extraction of notes and comments for qualitative and quantitative analysis.
E-commerce businesses can utilize this skill to scrape product reviews and recommendations from notes, analyze user feedback in comments, and track trending items. This aids in product development, inventory planning, and competitive analysis.
Offer a subscription-based service that provides businesses with insights from Xiaohongshu data, such as trend reports, influencer rankings, and sentiment analysis. Revenue is generated through monthly or annual licensing fees.
Provide managed services for brands needing social media monitoring, influencer outreach, or content strategy on Xiaohongshu. Revenue comes from project-based contracts or retainer fees for ongoing support and automation.
Collect and anonymize data from Xiaohongshu to sell aggregated datasets or insights to third parties like market research firms or academic institutions. Revenue is generated through one-time sales or licensing agreements.
💬 Integration Tip
Ensure proper proxy setup to avoid rate limits and handle web_session cookies for authenticated features like following users.
Scored Apr 15, 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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