WeChat Channels Comment Sentiment & Consumer Insights

Turn WeChat Channels (视频号) comments and reply threads into evidence-linked consumer questions, needs, objections, purchase signals, supplied brand and competitor mentions, video-level differences, and content opportunities.

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

Start with a ready-made use case

• Analyze product objections in WeChat Channels comments
• Find purchase intent in WeChat Channels comments
• Analyze health-product concerns in WeChat video comments

Each public Task contains a complete example input. Review the sample, then replace it with your own video links, uploaded comments, or Apify Dataset.

Real output preview

The screenshot is from a successful run and shows comment-level source evidence, sentiment, intent labels, discussion dimensions, supplied entity mentions, matched keywords, and video links.

Best for — and not for

Best for WeChat Channels comment analysis, 视频号 audience research, product objections, purchase intent, competitor evidence, video-by-video comparison, and evidence-backed content planning.

Not for downloading videos, private chats or groups, subscriber identities, automatically discovering every brand, or guaranteeing real-time and complete comment coverage.

This is not another video scraper

Existing WeChat Channels Actors already search videos, resolve download URLs, and return raw comments. This Actor is the analysis and decision layer:

• one normalized row per comment or reply
• transparent sentiment and intent labels
• recurring questions, needs and objections
• exact supplied brand, product and competitor mentions
• comparison and purchase-intent evidence
• differences across the selected videos
• ranked, evidence-linked content opportunities
• explicit sample and coverage warnings

The analysis is deterministic and evidence linked. It does not claim to use AI, does not invent missing brands, and keeps source comments available for audit.

Price

One successful live, Dataset, or uploaded-data report costs $1.99 and analyzes up to 100 comments and replies. The built-in static preview does not trigger the custom report event; Apify may still show the small Actor-start or platform usage charge.

Live collection invokes the separate public socialdatax/socialdatax-wechat-data-api Actor. Its event, result and platform usage charges are billed separately by Apify and are not included in the $1.99 analysis price.

If no usable comments are collected or matched, this Actor does not create or charge the report event.

Four input modes

1. Static example preview

The default example uses eight clearly labeled synthetic comments across three sample videos. It demonstrates the complete output without triggering the $1.99 custom report event.

2. Live comments from video links

Paste one to five public WeChat Channels share links. The Actor calls SocialDataX with get_video_comments and, when enabled and supported by the returned IDs, calls get_video_comment_replies for a limited number of threads.

No WeChat Cookie or SocialDataX API key is requested from the customer.

{
  "mode": "liveVideoComments",
  "videoUrls": [
    {"url": "https://weixin.qq.com/sph/EXAMPLE"}
  ],
  "topic": "Outdoor sunscreen campaign",
  "commentKeywords": ["价格", "敏感肌", "哪里买"],
  "knownEntities": ["品牌甲", "产品甲"],
  "competitorNames": ["品牌乙"],
  "includeReplies": true,
  "maxReplyThreads": 5,
  "maxTotalComments": 100,
  "upstreamMaxChargeUsd": 1
}

3. Existing Apify Datasets

Supply a Dataset produced by the SocialDataX WeChat Channels API or another compatible comment export.

{
  "mode": "datasetComments",
  "datasetId": "YOUR_DATASET_ID",
  "topic": "Product launch audience response",
  "knownEntities": ["Brand A"],
  "competitorNames": ["Brand B"],
  "maxTotalComments": 100
}

4. Uploaded comments

Paste strings or JSON objects without calling another Actor.

{
  "mode": "uploadedComments",
  "topic": "Travel product audience questions",
  "uploadedComments": [
    {
      "comment_id": "c1",
      "video_id": "v1",
      "video_title": "Product demo",
      "content": "出差方便带吗？价格是多少？",
      "author_name": "Viewer A",
      "like_count": 20
    },
    {
      "reply_id": "r1",
      "parent_comment_id": "c1",
      "video_id": "v1",
      "content": "我也想看和品牌乙的对比。",
      "is_reply": true
    }
  ]
}

Recognized comment fields

Common SocialDataX, English and camelCase aliases are recognized, including:

• comment: content, text, comment, comment_text
• IDs: comment_id, commentId, reply_id, query_comment_id
• video: video_id, object_id, query_object_id, video_url, query_url, video_title, video_description
• author: author_name, author_user_id, nickname, nested author or user
• engagement: like_count, likes, reply_count
• timing: create_time, created_at
• reply status: operation=get_video_comment_replies, parent_comment_id, isReply

Rows previously generated by this Actor are ignored when a Dataset is reused.

Row-level output

Each normalized comment or reply includes:

• source video ID, URL, title and creator when available
• comment ID, author, text, likes and reply status
• matched buyer-supplied keywords
• sentiment: positive, negative, mixed, question or neutral
• intent labels such as purchase intent, recommendation request, objection, comparison decision or usage help
• discussion dimensions and needs
• exact supplied entity and competitor mentions
• regulated claim terms when detected
• deterministic classification method

Report output

The fixed-price report includes:

• comments, videos and replies represented
• sentiment counts and shares
• intent summary
• top consumer questions
• recurring needs and concerns
• supplied brand and competitor mention shares
• competitor comparison evidence
• usage scenarios
• per-video comment, question and negative-signal breakdown
• ranked content opportunities with evidence quotes
• source coverage and data-quality warnings
• health and regulated-claim screening when requested

Important limits

• Results describe the collected or uploaded sample, not every WeChat Channels viewer or comment.
• Live coverage depends on the separate upstream Actor and can be incomplete, delayed, unavailable or affected by source-platform changes.
• Reply collection requires valid video, nonce and parent-comment IDs from the upstream result. Some reply threads can be missing.
• The Actor only measures exact names supplied in knownEntities and competitorNames; it does not automatically discover every brand.
• Sentiment and themes use transparent lexical cues. Review evidence quotes before making material business, medical, legal or reputational decisions.
• The Actor does not access private chats, WeChat groups, subscriber identities, private analytics, personal accounts, Cookies or local WeChat databases.
• It does not guarantee real-time or complete coverage.

Privacy

The Actor does not request a WeChat Cookie or password. Uploaded records and customer Dataset IDs are processed within the customer's Apify run and are not copied into public examples. Avoid uploading private, confidential or unconsented personal conversations.

Billing behavior

The main event is:

channels-comment-insights-report — $1.99

It is triggered once only when the complete report row is written. The separate upstream Actor can charge its own events or dataset-item prices during live collection. Use upstreamMaxChargeUsd to bound each upstream run.

Related WeChat research Actors

• WeChat Brand Mention & Share-of-Voice Monitor — monitor supplied brands and competitors across public WeChat article discovery.
• WeChat Channels Competitor Content Analytics — compare competitor videos, topics, hooks, and engagement.
• WeChat Official Account Comment Sentiment & Consumer Insights — analyze 公众号 article comments.
• WeChat Article Repost & Original Source Tracker — trace article reposts and likely original sources.