Track brand mentions across China's top 5 social platforms in one API call — $0.045 per mention

If your brand competes for Chinese consumers and you're not actively monitoring conversations on Weibo, RedNote, Bilibili, Douban, and Xueqiu, you're flying blind in the world's second-largest consumer market.

The problem is that the "enterprise" way to do this — Synthesio, Brandwatch, Talkwalker — starts at $50,000 per year for Chinese platform coverage, with annual contracts, locked-in seats, and a sales cycle measured in weeks. So most mid-market teams just… don't. They monitor English-language Twitter for their global brand, see a sentiment dip in APAC revenue a quarter later, and have no leading signal explaining why.

Chinese Brand Monitor launches today on the Apify Store to fix that. One API call, five platforms, normalized output, $0.045 per mention. No subscription. No annual contract. No minimum spend. Run it once, run it daily, run it hourly — you only pay for the mentions you actually pull.

The 5 platforms in one call

Platform	What it captures	Why it matters for brand monitoring
Weibo (微博)	Public microblog mentions, KOL posts, hot search trending	China's Twitter. 580M+ users. Where consumer crises break first and where KOL endorsements reach hundreds of millions in hours.
RedNote / Xiaohongshu (小红书)	Lifestyle and consumer brand notes, first-person product reviews	300M+ users. The single highest-trust channel for Chinese consumer purchase decisions in beauty, skincare, fashion, food, travel.
Bilibili (B站)	Video titles, descriptions, and creator mentions	China's YouTube. 300M+ users. Where Gen Z consumer brand affinity is built and where unboxing / review culture lives.
Douban (豆瓣)	Movie / book / music subject mentions, brand tie-ins, soundtracks, branded titles	200M+ users. Long-form opinion-rich content — the densest source of detailed consumer attitude data outside Zhihu.
Xueqiu (雪球)	Stock cashtag and corporate mentions for listed brands	20M+ users, financial-grade signal. Critical if your brand is publicly listed (NYSE:BABA, NASDAQ:JD, HK:00700, A-share tickers) — finance KOLs move retail sentiment fast.

These five platforms cover the full spectrum: broad public opinion (Weibo), high-trust consumer reviews (RedNote), Gen-Z video sentiment (Bilibili), long-form opinion (Douban), and investor sentiment (Xueqiu). For most consumer brands, monitoring any 3 of these in real time is a leading indicator that beats your CRM dashboards by 2-6 weeks.

Why each mention is worth $0.045

It's tempting to look at $0.045 and compare it to "free" Twitter mentions. That's the wrong comparison. The right comparison is: what would it cost you to get one Chinese consumer mention, normalized, sentiment-tagged, and cross-platform-deduplicated, any other way?

• Synthesio / Brandwatch / Talkwalker enterprise seat: $50K+/year minimum. Cost per mention at typical 100K mentions/year volume: $0.50. 11× the cost of this Actor.
• Hire a Chinese-speaking VA to manually check 5 platforms: ~$15/hour, ~30 mentions/hour effective. Cost per mention: $0.50. Same 11× cost, plus 24-48 hour latency.
• Build it yourself: 5 separate scrapers, 5 different output schemas to parse, dedup logic, sentiment classifier, ongoing maintenance every time a platform changes their frontend. Conservatively 60-100 engineering hours upfront and 10-20 hours/month ongoing. At $150/hr loaded engineer cost, that's $9K-$15K to build + $1.5K-$3K/month to maintain. Break-even vs this Actor: never, unless you're pulling >100K mentions/month.

Every mention you pull at $0.045 buys you: the raw text, the author identity (handle, follower count, verified flag), the engagement metrics (likes, comments, shares), the timestamp, the URL, media URLs, language detection, lexicon-based sentiment scoring, and — if dedup is enabled — a crossPlatformReposts array showing exactly which other platforms amplified the same content. That's a record your competitive intelligence analyst would gladly take and immediately put into a deck.

The more you run it, the more leverage you get from each run. A single weekly snapshot tells you nothing about velocity. A daily run shows you trends. An hourly run during a crisis or product launch shows you the inflection point in real time — which is when one mention is worth $4.50 to your PR team, not $0.045.

8 concrete use cases (run it like this)

1. Daily brand health dashboard

Workflow: Cron daily at 8am local time, single brand keyword, 7-day lookback, sentiment + dedup enabled. Push the canonical mentions to your BI tool (Looker / Metabase / Hex / Sigma) for a stacked-by-platform sentiment chart, follower-weighted reach total, and top-10 highest-engagement mention list. Run for 30 days, you have a baseline. Run for 90 days, you have a leading-indicator dashboard your CMO will check daily.
Volume: 100 mentions/day × 30 days = 3,000/mo. Cost: ~$135/mo per brand.
Compare to: $4,000/mo for a Synthesio seat covering the same platforms.

2. Crisis monitoring (hourly polling with Slack alerts)

Workflow: Cron every hour, 1-day lookback, sentiment-enabled, filter for sentiment.polarity == "negative" AND authorFollowerCount > 10000. Pipe matching records to a Slack webhook that pings #pr-alerts. The moment a verified KOL posts a negative mention, your PR team knows within 60 minutes — versus 24-72 hours via Google Alerts or "someone forwarded it to me."
Volume: Most hours return 0-5 mentions. ~200 mentions/day amortized = 6,000/mo. Cost: ~$270/mo per brand. Single prevented PR crisis pays for the entire year.

3. Pre-launch competitor intelligence (one-off pull)

Workflow: Before launching a new SKU in China, pull 30 days of mentions on each competitor brand keyword across all 5 platforms. Look at: which platforms each competitor over-indexes on, which KOLs are talking about them, what sentiment dominates, what product attributes get the most positive vs negative mentions. Run this once a quarter on 5 competitors and you have the best competitive intel deck in the room.
Volume: 5 competitors × 500 mentions each = 2,500 mentions one-time. Cost: ~$112 one-time per quarter.

4. KOL identification and vetting

Workflow: Weekly run on your category keyword (e.g. "护肤" for skincare, "球鞋" for sneakers). Pull 500 mentions/week. Filter the output for authorVerified == true AND authorFollowerCount > 50000. Sort by engagementMetrics.likes descending. Top 20 results = your candidate KOL list for the week, scored by actual cultural reach not by paid impressions. Compare against your influencer agency's recommendations.
Volume: 500 mentions/week × 4 weeks = 2,000 mentions/mo. Cost: ~$90/mo per category.

5. China-watcher hedge fund alt-data signal

Workflow: Daily run on each portfolio ticker that has Chinese consumer exposure (BABA, JD, PDD, BIDU, NIO, BYD, ANTA, Yum China, POP MART, etc.). Pull mentions from Xueqiu (financial sentiment) + Weibo (consumer sentiment) + RedNote (brand affinity for consumer brands). Build a sentiment-velocity feature: 7-day mention count delta + sentiment polarity shift. Backtest against earnings surprises and brand event days — Chinese consumer sentiment leads Western analyst consensus by 2-6 weeks for most consumer-facing names.
Volume: 20 tickers × 50 mentions/day = 1,000/day × 22 trading days = 22,000/mo. Cost: ~$990/mo. Compare to: a single Bloomberg China consumer alt-data feed subscription, $80K-$200K/year minimum.

6. AI / LLM training data corpus

Workflow: One-time bulk pull on a diverse set of brand keywords across consumer categories. 50 brands × 1,000 mentions each = 50K labeled Chinese-language consumer text records with explicit sentiment labels. Drop into your SFT or RLHF pipeline for Chinese-language consumer-domain fine-tuning. This is the densest source of brand-grounded labeled Chinese text outside of paid academic corpora.
Volume: 50,000 mentions one-time. Cost: ~$2,250 one-time. Compare to: licensing a comparable academic corpus from Trinity College Dublin or Tsinghua, $15K-$50K per corpus, single-use license, 6-month delivery.

7. Cross-platform virality discovery (run it weekly, look at the dedup array)

Workflow: Weekly run, dedup ENABLED, scan the output for canonical records where crossPlatformReposts.length >= 2. Those are mentions that spread across multiple platforms within 24 hours — the closest thing to a "viral" signal you can extract from raw mention data. Use it to identify breakout moments before they hit mainstream Chinese media.
Volume: 500 mentions/week × 4 weeks = 2,000/mo. Cost: ~$90/mo per brand. Most viral moments cost $50K-$200K in PR services to capitalize on; this is how you find them 48-72 hours earlier than the agency.

8. Multi-brand portfolio monitoring (agency workflow)

Workflow: One Actor run per client brand, scheduled daily via Apify Schedules. 10 clients × 500 mentions/brand/day = 5,000 mentions/day. Each client gets their own dataset and dashboard. The agency bills $2K-$5K/client/month for "China monitoring," delivers a custom dashboard, and the underlying data cost is ~$675/client/month — leaving healthy 70%+ gross margin per client.
Volume: 5,000 mentions/day × 30 days = 150,000/mo. Cost: ~$6,750/mo for 10 brands. Revenue at $3K/client × 10 = $30K/mo. Gross margin: 77.5%.

What the output looks like

Every mention is normalized to the same schema regardless of platform. Here's a real Weibo mention from a test run on the Chinese sportswear brand 李宁 (Li-Ning):

{
    "mentionId": "weibo_4923475823745",
    "platform": "weibo",
    "brandKeyword": "李宁",
    "brandMatchType": "exact",
    "content": "李宁的新款跑鞋质量真不错，比之前的耐克舒服多了！",
    "language": "zh-CN",
    "authorName": "运动达人",
    "authorFollowerCount": 12500,
    "authorVerified": true,
    "publishedAt": "2026-05-15T14:32:11+00:00",
    "engagementMetrics": { "likes": 234, "comments": 18, "shares": 42 },
    "url": "https://weibo.com/1234567890/4923475823745",
    "sentiment": { "polarity": "positive", "score": 0.72 },
    "crossPlatformReposts": [
        { "platform": "rednote", "url": "https://www.xiaohongshu.com/explore/abc123" }
    ]
}

Three fields buyers tell me they care about most:

• sentiment — lexicon-based Chinese sentiment scoring on every mention. Polarity (positive / neutral / negative) plus a numeric score. Disable it if you have your own pipeline; enabled by default.
• crossPlatformReposts — the same viral post often appears across Weibo and RedNote within hours. The aggregator detects this with SimHash similarity and merges duplicates into the canonical record, with the repost paths preserved. You don't pay twice for the same mention, and you get a free virality signal.
• authorFollowerCount / authorVerified — the difference between a 200-follower throwaway account and a 1.2M-follower verified KOL is the difference between "ignore this" and "alert the C-suite." Follower-weighting your dashboard is the first thing every serious buyer does with the data.

Quick start

The input is brutally simple. This is a complete config:

{
    "brandKeyword": "李宁",
    "platforms": ["weibo", "bilibili", "rednote", "douban", "xueqiu"],
    "maxMentionsPerPlatform": 200,
    "lookbackDays": 7,
    "sentimentAnalysis": true,
    "deduplication": true
}

One brand keyword, one call, get back a normalized stream of mentions across all five platforms. The lookbackDays filter applies per platform so you only get fresh content; deduplication collapses cross-platform reposts; sentimentAnalysis tags every record.

To run it on a schedule (which is where the real value compounds): use Apify Schedules and set a cron expression. 0 8 * * * for daily 8am runs, 0 * * * * for hourly, */15 * * * * for every 15 minutes during a launch or crisis. Each run hits the same Actor with your saved input config, pushes to the same dataset, and bills only on the new canonical mentions. The Actor is built to be run thousands of times — that's how you go from "snapshot" to "monitoring system."

If you have cookies for any of the platforms (logged-in browser session) you can pass them under cookieStrings to unlock higher recall and rate limits. Cookies are optional — the actor degrades gracefully without them.

For deeper single-platform scraping (full comment trees, infinite scroll, profile enrichment), use the dedicated single-platform actors directly:

• Weibo Scraper — posts, hot search, comments, profiles
• RedNote (Xiaohongshu) Scraper — notes, comments, profiles, video
• Douban Scraper — long-form reviews and group discussions
• Xueqiu Scraper — ticker-tagged posts, KOL tracking
• JD.com Scraper — product detail extraction

The aggregator is for recurring cross-platform brand monitoring with normalized output. The single-platform scrapers are for one-off deep extraction inside one platform.

What this is NOT

Being honest about scope is more useful than vague promises:

• Not real-time streaming. Poll-based — 5-15 minute effective refresh is realistic. If you need millisecond latency, this isn't it.
• Not WeChat coverage. WeChat has no public scraping interface; trying is a fast way to get accounts banned.
• Not Douyin (TikTok China). Out of scope for v0.1 — under evaluation for the roadmap.
• Not a Synthesio replacement at the largest enterprise scale. Synthesio also covers TV, podcasts, news, and provides a managed-service layer. This Actor is the data layer; bring your own BI / dashboard / alerting stack. Most teams who pick this over Synthesio are choosing it because they already own their BI stack and just need the raw normalized feed at a sane price.

Compliance posture

• Only public mentions — no private accounts, no DMs, no follower lists.
• No login bypass; cookies are user-supplied for higher rate limits only, and they're stored as a secret in the Apify input schema (encrypted at rest).
• Reviewer / commenter nicknames are partially redacted by the source platforms; this Actor passes through what the platforms display. No additional PII enrichment.

Try it free, then scale it

The Apify free plan includes monthly platform credit that covers a meaningful first batch of mentions — enough to validate the data quality on your own brand keyword before any commitment.

Try Chinese Brand Monitor on Apify →

The flow most teams follow:

1. Week 1: Run it once manually on your main brand keyword. Verify the output quality on a brand you know well — every mention should be one you'd recognize. (~$2-5 spend.)
2. Week 2: Wire it into a daily Apify Schedule. Stream the dataset to your BI tool. Watch one week of trend data. (~$25-50 spend.)
3. Week 3: Add a second brand keyword (competitor, partner, or category term). Add a Slack webhook for negative-sentiment alerts above a follower threshold. (~$50-100 spend.)
4. Month 2 onward: Production. Daily monitoring on your core brand portfolio, hourly during launches and crises, monthly competitive intel pulls. (Typical mid-market team: $200-1,500/mo.)

Pricing is transparent at every step: $0.045 per canonical mention, billed only on the deduplicated records. No subscription, no minimum spend, no annual contract. Pause it for a month, scale it up 10x next week, switch brand keywords mid-run — it all just works.

The teams getting the most out of this are running it on a schedule, daily or hourly, across multiple brand keywords, piping the normalized output into their existing BI / Slack / dashboard stack. Each run pays for itself in the first time it surfaces a mention you would have missed.

Open an issue on the Actor page if you hit any edge case. Typical turnaround on fixes is 48 hours.