Xiaohongshu Creator Notes, Archived With Their Data
Scroll your creator feed or a topic search the way a person does, read every note card with its title and like count, and archive the original image links.
- Xiaohongshu
- Creator notes
- Topic search
Business Pain Point
What slows your team down today
The feed only exists as you scroll
Xiaohongshu loads notes into a waterfall as the page scrolls. A request-based tool sees an empty shell, and a single read stops at the first screen.
Screenshots throw the data away
A screenshot keeps pixels, not the note title, like count or the image address. Every number has to be typed back in by hand.
Heavy page scripts change the session
Tools that inject code into the page world or attach a debugger alter how the session behaves, which is the last thing a creator account needs.
Operun Advantage
Why the Operun kernel gets it right
Native, declarative scrolling
act scroll moves the real viewport by a set number of pixels, instantly and in order, so the page loads the next batch exactly as it does for a person.
40k-token snapshot with body text
snapshot --text reads up to 40,000 tokens: each card’s title, author and like count come back as lines with their own @eN reference, ready for a CSV.
Standard store build
xiaohongshu.com is on the store build’s host list. Steps run in the extension’s isolated world, with no debugger permission and no yellow banner.
- 01
Open the source page
Bring your Xiaohongshu creator profile or topic search to the front in your signed-in browser.
- 02
Scroll to load notes
Operun scrolls the feed in fixed steps so Xiaohongshu loads the next batch of note cards.
- 03
Wait for the cards
wait_element confirms the new note cards are on the page before anything is read.
- 04
Read and export
A 40k-token snapshot reads titles, authors and like counts, and Operun writes them to a sheet.
Run It Yourself
The Operun commands behind this playbook
Runs on: Operun Chrome Web Store build.
# Runs on the Chrome Web Store build
operun browser activate --tab 9
operun browser act --action scroll --tab 9 --direction down --amount 2400
operun browser act --action wait_element --tab 9 --selector "section.note-item" --timeout 8000
operun browser snapshot --tab 9 --text # titles, authors, like counts[
{ "action": "scroll", "direction": "down", "amount": 2400 },
{ "action": "wait_element", "selector": "section.note-item",
"timeout": 8000 },
{ "action": "snapshot", "mode": "content" }
]Authorized use only: Designed strictly for exporting data from your own authorized accounts or public, permission-granted sources in compliance with platform terms. Use this for your own notes or for research on public pages you can already view, and follow Xiaohongshu’s terms. Images belong to their creators; reuse them only with permission.
Input / Output Artifacts
What goes in, what comes out
Inputs
-
Source
Your creator profile, or a topic search you research
-
Scroll depth
Number of scroll passes, e.g. 6 × 2400 px
-
Output folder
Local folder or NAS path
Deliverables
-
Note sheet
CSV / XLSX — title, author, likes, note link
-
Image link list
CSV — note, image URL as the page references it
-
Run log
CSV — scroll pass, notes read, timestamp
ROI Impact
Measured in hours, not promises
30+
notes read in one stable run
0
screenshots or retyped numbers
Starter
plan is enough: standard store build
Typical results from production engagements; your outcome depends on store count and workflow scope.
See this playbook run on your stack
Book a live demo and watch Operun execute xiaohongshu creator notes, archived with their data inside your real workflow.
Book a Demo Add Operun to ChromeRuns on the standard store build.