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RedNote Data Scraper

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from $3.57 / 1,000 results

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RedNote Data Scraper

RedNote Data Scraper

Collect RedNote accounts, posts, and visible engagement records. Using RedNote URLs, the result preserves titles, author nickname, author identifiers, liked count text, and liked count in source order.

Pricing

from $3.57 / 1,000 results

Rating

0.0

(0)

Developer

ReapX

ReapX

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

an hour ago

Last modified

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Collect RedNote accounts, posts, and visible engagement records. Using RedNote URLs, the result preserves titles, author nickname, author identifiers, liked count text, and liked count in source order.

RedNote Data Scraper interface

The record

The dataset schema names every field before the run. The first working set is whatIFound, noteId, title, type, authorNickname, authorUserId, authorAvatar, likedCountText, coverUrl, noteUrl, xsecToken, and exploreSource. Dataset views keep related fields together without changing the underlying row.

Captured row

{
"rank": 1,
"noteId": "6a38952a0000000007021878"
}

Input

RedNote Data Scraper accepts source URLs. Run controls stay in the same form.

FieldWhat it controlsStarting value
startUrlsPaste exact RedNote URLs, one per line.["https://www.xiaohongshu.com/explore"]
maxItemsStop after this many dataset rows.50
maxSecondsStop after this many seconds and keep completed rows.240

Example input

{
"startUrls": [
"https://www.xiaohongshu.com/explore"
],
"maxItems": 3,
"maxSeconds": 180
}

Price

$5.1 per 1,000 results on the Free plan. Other Apify plans use the rates shown in the Pricing tab.

RedNote Data Scraper input and result demonstration

Console, API, schedules, and exports

Runs can begin in Apify Console, from a saved task, or through the Actor API. A schedule can reuse the same input. Completed rows remain in the run dataset for API retrieval and Apify dataset exports.

POST https://api.apify.com/v2/acts/XhD8JBiDGFVFb3E7J/runs
GET https://api.apify.com/v2/datasets/{datasetId}/items

Saved tasks

Twenty task pages cover distinct research, comparison, operations, automation, and export jobs. The opening set is:

  • RedNote data exact query: Review one RedNote record around title, type, whatIFound, and noteId. The saved task uses startUrls, maxItems, and maxSeconds and opens the overview view. Configured in RedNote Data Scraper.
  • RedNote data query comparison: Compare RedNote records using likedCountText, rank, likedCount, and whatIFound. The stats view keeps the differences close together. Configured in RedNote Data Scraper.
  • RedNote data query list: Process a saved RedNote input queue with startUrls, maxItems, and maxSeconds. Source and identifier fields remain visible in the identity view. Configured in RedNote Data Scraper.
  • RedNote data result index: Index RedNote records by title, type, route, and scrapedAt. The saved input keeps the same matching keys from run to run. Configured in RedNote Data Scraper.
  • RedNote data destination register: Assemble a focused RedNote register centered on whatIFound, noteId, title, and type. The task keeps startUrls, maxItems, and maxSeconds visible for later review. Configured in RedNote Data Scraper.
  • RedNote data ranking benchmark: Compare numeric and status fields across RedNote records, led by likedCountText, rank, likedCount, and hasVideo. Results open as the engagement table. Configured in RedNote Data Scraper.

Support

Include the Actor ID, run ID, saved task name, and affected input when reporting an issue. That is enough to locate the run and its dataset.