Uncover authentic consumer sentiment on China largest lifestyle discovery platform. Extract deep comment threads, sub-replies, author locations, like counts, and discussion timestamps without personal login cookies.
{
"commentId": "66e2d192000000001f038102",
"noteId": "66e2c349000000001e028b4a",
"user": {
"nickname": "BeautyLover_BJ",
"userId": "5b892019482",
"ipLocation": "Beijing"
},
"content": "Does this moisturizer cause breakouts on combination sensitive skin? Need an honest review!",
"likeCount": 89,
"createTime": "2026-09-25T12:15:00Z",
"subCommentsCount": 4
}
Built specifically for high-throughput enterprise pipelines with zero credential leakage.
Extracts top-level comments and all nested secondary reply trees with exact parent-child reply relationships.
Captures user province/country tags (IP attribution) to analyze regional feedback and brand sentiment.
Preserves native Chinese social slang, custom emoji characters, and product feedback hashtags.
Distinguishes between verified brand replies, post author remarks, and general community comments.
Trigger extractions via the official Apify Client or standard REST endpoints.
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"noteUrls": ["https://www.xiaohongshu.com/explore/66e2c349000000001e028b4a"],
"maxComments": 100
}
run = client.actor("unitbytes/xiaohongshu-rednote-comments-scraper").call(run_input=run_input)
for comment in client.dataset(run["defaultDatasetId"]).iterate_items():
print(comment["user"]["nickname"], comment["content"], comment["likeCount"])You can extract thousands of comments per post. The scraper automatically handles cursor pagination until your target count is reached.
Yes. Clean UTF-8 text output with preserved punctuation and emoji is ideal for training sentiment classification or LLM brand-perception models.
Zero cookies required. Operates completely anonymously with autonomous request signing.
Yes, author comments are explicitly tagged with isAuthor: true for fast filtering.
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Extract Xiaohongshu creator bios, follower growth, total likes & collections, verified brand tags, and complete historical note catalogs for KOL analysis.
Our data engineering team provides private cluster deployments, custom webhook integrations, continuous schema monitoring, and high-frequency delivery directly to BigQuery, Snowflake, or AWS S3.
Start running immediately on UnitBytes Cloud with zero infrastructure setup, or contact our engineering team for dedicated S3/BigQuery delivery pipelines.