Scrape public RedNote (Xiaohongshu) posts, creator profiles, and keyword search results with a free no-code Chrome extension. One-click export to CSV/Excel or Markdown, or sync to Lark Base.
Open any Xiaohongshu note and one-click extract the title, body text, hashtags, engagement counts, and image/video URLs. After scraping, backfill image text or video transcripts for cleaner analysis records.
Free download
Auto-scroll through any creator's profile page to scrape their complete post history with engagement data. Filter by like count to quickly build a benchmark library of top-performing content.
Free download
Enter a keyword and batch-scrape all matching search results. Set thresholds for likes, saves, and comments to filter out low-quality samples. Supports finding low-follower viral posts to uncover hidden content opportunities.
Free download
Data Coverage
MediaClaw focuses on structured Xiaohongshu datasets that can move directly into analysis, reporting, and content planning workflows.
Extract note titles, body text, hashtags, engagement counts, publish context, media URLs, and optional image text or video transcripts for repeatable post analysis.
Collect creator profile and post-history signals so teams can compare KOL candidates and benchmark competitor accounts.
Batch collect Xiaohongshu search results by keyword, then filter by engagement thresholds to find useful content samples faster.
Choose the output format that fits your workflow.
Structured fields are ready for Excel, BI tools, or Python; Markdown keeps titles, captions, metrics, and source links for Obsidian or AI-assisted organization.
Best For
Deep analysis, topic-library review, and AI-assisted reporting
How a no-code browser extension compares with other ways to get RedNote data.
| MediaClaw (Extension) | Cloud Scrapers (e.g. Apify) | Open-Source Scripts | Paid APIs (e.g. TikHub) | |
|---|---|---|---|---|
| Coding required | None — point and click | Low, but actor config needed | Python/Node required | API integration required |
| Cost model | Free tier, runs locally | Pay per compute unit | Free but high maintenance | Pay per request |
| Proxy / login setup | None — uses your own browser session | Proxies + cookies required | Proxies + cookies required | Handled, at a price |
| Anti-detection | Human-like scrolling, random waits, auto-pause | Depends on actor quality | DIY | N/A |
| Output | Excel/CSV/Markdown, Lark Base sync, OCR & transcript backfill | JSON/CSV download | Raw JSON | JSON response |
| Best for | Creators, marketers, ops teams | Data engineers | Developers | Product integrations |
Use exported Rednote data to turn search impressions, creator pages, and viral posts into practical decisions.
| Workflow | What You Scrape | Outcome |
|---|---|---|
| Competitor research | Top posts, engagement metrics, hashtags, and media URLs from competing accounts | Find content angles, hook patterns, and topic gaps before planning your next campaign |
| KOL screening | Creator profiles, post histories, and high-performing notes | Shortlist creators with stronger fit instead of relying on follower count alone |
| Keyword research | Search-result posts for product, category, and audience-intent keywords | Validate demand and build a data-backed topic library |
| Content library building | Saved posts, visual references, captions, and engagement fields | Create reusable examples for briefs, reporting, and team reviews |
Safety
Efficient scraping without compromising account safety.
Mimics natural human browsing patterns to reduce detection risk.
Configure scraping speed per task to balance throughput and safety.
Automatically stops when pages fail to load or behave abnormally.
Use MediaClaw to export Rednote posts, creator profiles, and search results into Excel-ready datasets.
