# How do I monitor a keyword on Xiaohongshu and collect new notes every day?

> Track a brand or product keyword on Xiaohongshu (RedNote): pull the newest notes daily, keep only the last 24 hours, avoid paying for notes you already have.

Canonical page: https://okdata.online/answers/xiaohongshu-keyword-monitoring-new-notes/

**Short answer: **Search the keyword on okdata with sort=latest once a day and stop paging when you reach notes older than your last run. Most brand keywords need one to three pages, so a keyword costs $0.02 to $0.06 a day, and ten keywords for a month at two pages each cost $12.00.

You want a morning list of every new Xiaohongshu note that mentions your brand, your competitor or a product name, so the social team can reply, repost or escalate before lunch. Searching by hand misses things, and the search page in the app mixes old popular notes with new ones. A daily search sorted by newest, stopped at your last run, produces that list.

## The method

Use [Xiaohongshu note search](/apis/xiaohongshu/notes/search/) with `sort=latest`. Results come newest first, about 20 per page, each with `published_at`, title, text, images, author and counts.

1. Run the search once a day (or every few hours for a launch).
2. Keep notes whose `published_at` is after your last run.
3. Stop paging as soon as a page reaches older notes, or an ID you already stored.

There is no date-range parameter, and you do not need one: sorting by latest and stopping at a timestamp gives you "the last 24 hours".

## What it costs

| Setup | Calls per day | Per day | Per 30 days |
|---|---|---|---|
| 1 keyword, usually 1 page | 1 | $0.02 | $0.60 |
| 10 keywords, 2 pages each | 20 | $0.40 | $12.00 |
| Launch week: 5 keywords every 4 hours | 30 | $0.60 | — |

## Script

```python
import os, requests, datetime as dt

URL = "https://api.okdata.online/v1/xiaohongshu/notes/search"
HEAD = {"Authorization": f"Bearer {os.environ['OKDATA_API_KEY']}"}
since = (dt.datetime.now(dt.timezone.utc) - dt.timedelta(days=1)).strftime("%Y-%m-%dT%H:%M:%S")
params, fresh = {"query": "某品牌 防晒", "sort": "latest"}, []

for _ in range(5):  # hard cap on pages
    body = requests.get(URL, headers=HEAD, params=params, timeout=60).json()
    items = body["data"]["items"]
    fresh += [n for n in items if n["published_at"] >= since]
    if not body["page"]["has_more"] or (items and items[-1]["published_at"] < since):
        break
    params["cursor"] = body["page"]["next_cursor"]
print(len(fresh), "new notes")
```

Run it from cron and send `fresh` to a group chat or a sheet.

## Things to expect

- Xiaohongshu search matches loosely; a short brand name also matches unrelated notes. Add a product word, or filter on title and text in your code.
- Search results show the author but not their follower count. To flag notes from big accounts, look authors up with [account profile](/apis/xiaohongshu/users/get/).
- Each page is one charge, and a page with nothing new still costs one call. Pick the run frequency to match how fast the keyword moves.

## Other options

Social listening suites cover Xiaohongshu with dashboards and alerts and suit teams that want no code at all. MediaCrawler can run the same search with a logged-in account. For a broader setup with comments and creators, see [word-of-mouth monitoring](/solutions/word-of-mouth/).

## Endpoints used

- [Xiaohongshu note search](https://okdata.online/apis/xiaohongshu/notes/search/) `xiaohongshu.notes.search`: $0.02 per call · about 20 notes per page
- [Xiaohongshu note detail](https://okdata.online/apis/xiaohongshu/notes/get/) `xiaohongshu.notes.get`: $0.02 per call

Updated 2026-11-12