WeChat Brand Mention & Share-of-Voice Monitor

Track literal mentions of your brand and competitors across public WeChat Official Account discovery results. Receive one evidence-linked report plus up to 100 mention rows—without uploading a WeChat Cookie.

Unofficial tool. This Actor is not affiliated with, sponsored by, or endorsed by Tencent, WeChat, Weixin, Sogou, or any source platform.

Start with a ready-made use case

• Compare WeChat brand mentions and share of voice
• Detect brand-risk mentions in WeChat articles
• Find WeChat publishers mentioning your brand

Each public Task contains a complete example input that you can review before replacing the sample brands, competitors, risk terms, or source data.

Real output preview

This successful demo report analyzed 10 public article records and delivered 13 literal mentions, 9 new mentions, 2 risk alerts, share of voice, publisher activity, co-mentions, sentiment cues, and data-quality fields.

Best for — and not for

Best for public WeChat Official Account brand monitoring, competitor share of voice, publisher discovery, reputation-risk screening, and current-versus-prior snapshot comparison.

Not for private messages, subscriber identities, backend analytics, proof of sponsorship or reach, complete WeChat coverage, or guaranteed real-time alerts.

What makes this different

This is not another generic WeChat article scraper.

Raw search tools return everything related to a query, including fuzzy or irrelevant results. This Actor retains a result only when the supplied brand, alias, or competitor literally appears in the available title, snippet, or supplied article text.

Every delivered mention contains the matched term, match location, publisher, date, source URL, and available context behind the report.

What buyers receive

• one row per article × mentioned brand
• primary-brand and competitor mention counts
• share of voice across all supplied brands
• new mentions when an earlier snapshot is supplied
• current-versus-baseline mention-count changes
• transparent positive, neutral, negative, or mixed cue labels
• configurable complaint, recall, refund, safety, and reputation-risk keywords
• publishers generating the most mentions
• articles that mention multiple supplied brands
• evidence-linked risk alerts and new-mention examples
• explicit coverage and data-quality warnings

The Actor uses deterministic literal matching and transparent cue dictionaries. It does not claim to use AI and does not invent missing articles, sentiment, or audience metrics.

Four data-source modes

Demo

Runs immediately with fictional brands, ten current articles, and an earlier baseline. Use it to inspect share of voice, new mentions, co-mentions, and risk alerts before supplying data. The static preview does not trigger the custom $4.99 report event.

Live public Sogou WeChat search

The Actor searches the primary brand, its aliases, and every competitor through the public automation-lab/sogou-wechat-article-search-scraper Actor. It then removes results that do not contain a literal supplied term.

No WeChat login or Cookie is requested. Public discovery can still be incomplete, delayed, blocked, or throttled.

Apify Datasets

Supply up to ten current Dataset IDs. Add priorDatasetId to compare an earlier snapshot and mark new mentions.

Uploaded records

Paste current article JSON into uploadedRecords. Optionally paste an earlier snapshot into baselineRecords.

Example live search

{
  "mode": "liveSearch",
  "brandName": "Nike",
  "brandAliases": ["耐克", "NIKE"],
  "competitorBrands": ["阿迪达斯", "安踏", "李宁"],
  "riskKeywords": ["投诉", "质量问题", "退款", "召回"],
  "lookbackDays": 90,
  "maxResults": 100,
  "maxMentions": 100
}

Example using your own Datasets

{
  "mode": "dataset",
  "brandName": "品牌甲",
  "brandAliases": ["品牌A"],
  "competitorBrands": ["竞品乙", "竞品丙"],
  "sourceDatasetIds": ["CURRENT_DATASET_ID"],
  "priorDatasetId": "PRIOR_DATASET_ID",
  "maxMentions": 100
}

Recognized fields

Common English, Chinese, and Sogou aliases are recognized, including articleId, title, articleTitle, snippet, summary, desc, content, contentText, accountName, authorName, gzh_name, publishedAt, publishTimestamp, publishDateText, articleUrl, sogouUrl, coverImageUrl, keyword, position, and page.

At minimum, each usable record needs a title, snippet, or text field. Article URLs and account names improve deduplication and baseline comparison.

Pricing

$4.99 per successful brand-monitor report, including up to 100 literal mention rows. Empty input, unusable records, or samples with no literal supplied brand/competitor mention do not create a paid report. The built-in static preview does not trigger the custom report event.

Live-search mode invokes a separate public upstream Actor. Its usage is billed separately by Apify and is not included in the $4.99 report price. Uploaded and Dataset modes do not invoke that collector.

Important limits

• Results describe the collected or uploaded sample, not every WeChat article.
• Sogou can omit, delay, reorder, or block public discovery results.
• Sentiment describes only available titles, snippets, and supplied text. It is not a full-article opinion score when full text is absent.
• A literal mention is not proof of endorsement, sponsorship, reach, purchase intent, or commercial impact.
• New-mention and change fields require an explicit earlier snapshot.
• The Actor does not access subscriber identities, private messages, backend analytics, private audience demographics, or WeChat credentials.

Responsible use

Only process data you are authorized to use. Follow source-platform terms, privacy, advertising, intellectual-property, and data-protection requirements.

Related WeChat research Actors

• WeChat Channels Comment Sentiment & Consumer Insights — analyze 视频号 audience questions, objections, and purchase signals.
• WeChat Official Account Comment Sentiment & Consumer Insights — analyze uploaded or collected 公众号 article comments.
• WeChat Article Repost & Original Source Tracker — trace similar titles, repost order, and possible original sources.
• WeChat Official Account Competitor Content Monitor — compare publisher content activity and competitor themes.

Local validation

$python3 -m unittest discover -s tests -v