xiaohongshu-research-kitv1.0.0

Extract metadata and engagement metrics from competitors' Xiaohongshu video and image notes to benchmark content performance. Use yt-dlp for video notes and gallery-dl for image notes to gather title, description, likes, comments, and tags without API keys.

Analyze a creator's profile by extracting up to 20 recent posts with yt-dlp or gallery-dl, then compute average likes, content type distribution (image vs video), and posting frequency. This helps brands evaluate potential partners.

Search for specific keywords on Xiaohongshu topic pages using gallery-dl to collect recent top posts. Extract titles, engagement stats, and content types to identify trending themes and consumer interests in a market.

For a given note URL, extract and present structured metadata including title, description, upload date, view/like/comment counts, duration (video), and tags. Format large numbers using Chinese convention (万/千) for readability.

Use extracted Xiaohongshu data (e.g., top-performing content formats, hashtags) to inform content creation on other platforms. Compare video vs image note performance to tailor strategy for different platforms.

Offer a tiered subscription where brands/agencies can input XHS URLs and get structured reports with engagement analytics, competitor benchmarks, and trend alerts. Monthly/quarterly plans.

Integrate this extraction capability into an influencer discovery platform. For each creator, automatically pull recent posts and compute average metrics to score relevance. Charge per report or as part of a platform subscription.

Use the tool to conduct in-depth Xiaohongshu market research for clients (e.g., competitive landscape, trend analysis). Deliver insights and strategic recommendations as a service.