Xiaohongshu Note Detail logo

Xiaohongshu Note Detail

OrganizationPopular
browser-act
xiaohongshu-note-detail

Fetch Xiaohongshu (RedNote / xhs) note detail and comments by note ID, returning title, description, author info, engagement stats, tags, and paginated comment list. Use when user mentions note detail xiaohongshu, get rednote post, xhs note content, xiaohongshu comment scrape, fetch post comments, scrape xhs comments, rednote note details, xiaohongshu post engagement, xiaohongshu note content, rednote post data, xhs post detail, get xiaohongshu comments, rednote comment list, xiaohongshu note metadata, xhs note scrape, fetch rednote note.

Overview

Publisherbrowser-act
Repositoryskills
Skill namexiaohongshu-note-detail
Stars
6.1K
Forks
310
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by browser-act on GitHub. Read the source before you install it.

Installation

Install the Xiaohongshu Note Detail AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/browser-act/skills/tree/main/solutions/social-listening/xiaohongshu-note-detail
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/browser-act/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/solutions/social-listening/xiaohongshu-note-detail .claude/skills/xiaohongshu-note-detail
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xiaohongshu Note Detail in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Xiaohongshu Note Detail on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Xiaohongshu Note Detail is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Xiaohongshu — Note Detail & Comments

note_id + xsecToken → note metadata, author info, engagement stats, comment list

Language

All process output to user (progress updates, process notifications) follows the user's language.

Objective

Navigate to a Xiaohongshu note detail page and extract the full note metadata plus its paginated comment list.

Prerequisites

  • Browser opened to https://www.xiaohongshu.com/explore/{note_id}?xsec_token={xsecToken}&xsec_source=pc_search
  • User is logged in (avatar or username visible in the left sidebar)

Pre-execution Checks

1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

2. Login Verification

If login status for Xiaohongshu has been confirmed in the current session → skip this step.

Otherwise: open https://www.xiaohongshu.com and observe the left sidebar:

  • User avatar or "Me" entry visible → logged in, continue execution
  • "Login" button visible → not logged in, inform the user that login is required, use remote-assist to let the user scan the QR code

User refuses or cannot log in → terminate execution.

Capability Components

This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. Its role is equivalent to copy-pasting on the user's behalf — the data is already on screen, automation merely saves time. JS code is encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". $(...) is bash syntax; it is recommended to use the bash tool for execution.

Below are all atomic capabilities discovered and verified during the exploration phase, listed by command template with parameters. Simply invoke them as needed — no need to read scripts/*.py source code or re-verify. Only inspect scripts when execution fails for troubleshooting. Combine freely as needed during execution.

DOM: extract note detail

Navigate to the note page, wait for Vue SSR state to populate, then extract from window.__INITIAL_STATE__.note.noteDetailMap:

  1. navigate https://www.xiaohongshu.com/explore/{note_id}?xsec_token={xsecToken}&xsec_source=pc_search
  2. wait stable
  3. eval "$(python scripts/extract-note-detail.py {note_id})"

Parameters:

  • {note_id}: note ID (from search result id field or from the note URL)
  • {xsecToken}: security token (from search result xsecToken field)

Output example:

json
{
  "noteId": "69d8cd8c0000000022002295",
  "title": "Not Switzerland! This is a natural grassland in Fujian!!",
  "desc": "Full post body text...",
  "type": "normal",
  "time": 1748390400000,        // publish timestamp (ms)
  "ipLocation": "Fujian",
  "userId": "5bac4e3f7a4c7300016a6b88",
  "nickname": "half-goose",
  "avatar": "https://sns-avatar-...",
  "likedCount": "5149",
  "collectedCount": "4170",
  "commentCount": "390",
  "shareCount": "112",
  "tagList": [{"name": "travel", "type": "topic"}],
  "imageCount": 9
}

Error handling: if error: true is returned, verify the page URL is a note detail page, wait stable has completed, and the note_id matches the URL.

DOM: extract note comments

After navigating to the note page (same page as note detail), extract initial comments already loaded into Vue state:

eval "$(python scripts/extract-note-comments.py {note_id})"

Parameters:

  • {note_id}: same note ID used when navigating

Output example:

json
{
  "count": 10,
  "cursor": "aabbcc112233",     // pass to next page load; empty string when on first page
  "hasMore": true,
  "comments": [
    {
      "id": "6835ae0e000000001203a14c",
      "content": "So beautiful!",
      "likeCount": "23",
      "createTime": 1748390500000,
      "ipLocation": "Guangdong",
      "userId": "5c3a6f020000000007010b9f",
      "nickname": "travel-enthusiast-xw",
      "avatar": "https://sns-avatar-..."
    }
  ]
}

Error handling: if error: true is returned, ensure the note detail page is loaded first (step 3 of note detail component above).

Composite: get full note (detail + initial comments)

Run both extractions on the same page load — no additional navigation needed:

  1. navigate https://www.xiaohongshu.com/explore/{note_id}?xsec_token={xsecToken}&xsec_source=pc_search
  2. wait stable
  3. eval "$(python scripts/extract-note-detail.py {note_id})"
  4. eval "$(python scripts/extract-note-comments.py {note_id})"

Merge results by noteId field.

Pagination

DOM Pagination (comments): Initial page load pre-populates up to 10 comments. To load more:

  1. scroll down --amount 3000
  2. wait stable
  3. eval "$(python scripts/extract-note-comments.py {note_id})"

Each scroll triggers the page to load additional comments into noteDetailMap[noteId].comments. Re-running the extraction script after each scroll retrieves the full accumulated list. Termination: hasMore: false in extraction output.

Success Criteria

detail.noteId is non-null AND detail.title is non-null

Known Limitations

  • Accessing note detail requires login; without login the page shows a QR code overlay and noteDetailMap is empty
  • xsec_token must correspond to the note_id; mismatched tokens result in a redirect or empty state
  • Comment count in note detail (commentCount) may exceed comments available via DOM scroll — some comments may be filtered or not loaded without deeper scrolling
  • Image content (actual image URLs from imageList) is not extracted by extract-note-detail.py — only imageCount is returned

Execution Efficiency

  • Batch orchestration: Write a bash script to loop through the command templates serially within a single session; do not parallelize within one browser (prone to triggering anti-scraping restrictions). Refer to rate information in "Known Limitations" above to add appropriate intervals. To increase throughput, open multiple stealth browser sessions and distribute work across them — each session has an independent fingerprint so rate limits apply per session
  • Test before batch execution: After writing a batch script, you must first test with 1-2 items to verify the script runs correctly; only then run the full batch. Never skip testing and execute in batch directly
  • Reduce redundant pre-operations: When multiple steps depend on the same prerequisite state, complete them in batch under that state to avoid repeatedly establishing the same state
  • Error resumption: Save results item by item during batch processing; on failure, resume from the breakpoint rather than starting over

Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/xiaohongshu-data-xiaohongshu-note-detail.memory.md (working directory is determined by the Agent running the Skill, typically the project root or current working directory)

Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.

After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line: {YYYY-MM-DD}: {what happened} → {conclusion}

Normal execution does not write to the file. Do not record what note IDs were fetched or how many comments were returned — those are task outputs, not experience.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Xiaohongshu Note Detail AI skill do?

Fetch Xiaohongshu (RedNote / xhs) note detail and comments by note ID, returning title, description, author info, engagement stats, tags, and paginated comment list. Use when user mentions note detail xiaohongshu, get rednote post, xhs note content, xiaohongshu comment scrape, fetch post comments, scrape xhs comments, rednote note details, xiaohongshu post engagement, xiaohongshu note content, rednote post data, xhs post detail, get xiaohongshu comments, rednote comment list, xiaohongshu note metadata, xhs note scrape, fetch rednote note.

Why use Xiaohongshu Note Detail on TypingMind?

Because you install it once and use it with any model. Xiaohongshu Note Detail is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Xiaohongshu Note Detail in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browser-act/skills/tree/main/solutions/social-listening/xiaohongshu-note-detail. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Xiaohongshu Note Detail?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Xiaohongshu Note Detail?

As many as you like. As long as a model supports skills, you can use Xiaohongshu Note Detail with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Xiaohongshu Note Detail AI skill free?

Yes. It is published on GitHub by browser-act under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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