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NexGenData
NexGenData

Posted on • Originally published at thenextgennexus.com

New: China Social Sentiment Aggregate — one keyword, one sentiment-tagged feed across Chinese social

What it does

Give the China Social Sentiment Aggregate one keyword — Chinese or English — and it returns a single, unified, deduplicated, sentiment-tagged feed of Chinese social posts pulled from Bilibili, RedNote (Xiaohongshu) and Weibo in one run, all normalized to the same schema. Duplicate posts are removed across platforms, and every item carries a bilingual sentiment label and score.

Who it's for

Brand and PR teams monitoring their name in China, consumer and China-equity researchers who need cross-platform social signal, and ML teams assembling Chinese-language training data.

Sample fields / output

Each row is one post: platform, title, text, author, url, likes, comments, shares, views, posted_at, sentiment_label, sentiment_score, keyword, scraped_at.

Example use cases

  • Cross-platform China brand monitoring — one scheduled keyword run instead of three separate scrapers.
  • China-equity research — track social buzz and sentiment around a listed company or product launch.
  • AI training data — build deduplicated, sentiment-labelled Chinese social datasets in a single schema.

Try China Social Sentiment Aggregate on Apify → Flat $0.25 per keyword run, charged only when results come back.

Related actors

FAQ

Do I need a Chinese account or VPN?

No. Bilibili keyword search works anonymously out of the box. Weibo Hot Search contributes items when your keyword matches a currently-trending topic, and RedNote keyword search requires an optional login cookie.

How is sentiment computed?

Each post is tagged positive, negative or neutral with a score using a lightweight bilingual (Chinese + English) lexicon. It is a best-effort triage signal, not a trained sentiment model.

How is it priced?

A flat $0.25 per keyword run, charged only when results are returned. The underlying platform scrapers bill your Apify account per their own pay-per-event pricing.

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