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.

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.