WeChat Article Comments Scraper

EN — Pull public comments and reply threads from any WeChat Official Account article. mode=comments returns top-level comments only (cheapest); mode=with-replies adds per-comment reply chains (one extra upstream call per comment that has replies).

ZH — 抓取任意公众号文章的公开评论和回复链。mode=comments 只返回一级评论(最便宜);mode=with-replies 在每条有回复的评论下追加二级回复链(每条需要时多 1 次上游调用)。

• Console: https://console.apify.com/actors/ier1jWLNCkvLh8vpS
• Short link: opspilot.cc/wechat-article-comments-scraper

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When to use this Actor

Goal	Actor
List every article on an account	WeChat Account Articles Scraper
Read a single article's full body + author	WeChat Article Detail Scraper
Read the account's profile (IP region, original count, ban status)	WeChat Account Profile Scraper
Pull interaction metrics (read / like / share)	WeChat Article Metrics Scraper
Pull comments + reply threads (this Actor)	—
Search across all of WeChat	WeChat Universal Search Scraper

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Input

Field	Type	Default	Notes
url	string	https://mp.weixin.qq.com/s/TSNQKkRpN1qbKsT7BvzqIw	Article URL. Short (/s/<sn>) and long (/s?__biz=...&mid=...) forms accepted.
mode	string	"comments"	comments = top-level only. with-replies = comments + reply chains (1 extra upstream call per comment that has replies).
commentId	string	""	Pre-known comment_id from /fetch_article_detail response's commentId. Speeds up upstream by skipping HTML pre-fetch. Leave empty to let upstream fetch the article HTML.
maxComments	int	100	Hard cap on total comments pulled across paginated requests. 1-500.
maxReplies	int	50	Hard cap on replies per comment (mode=with-replies). 1-200.
raw	string	"false"	false = omit raw upstream payload; true = attach rawData for debugging.

Where to get a URL

• From the Article Detail Scraper: pass any URL, get back commentId + body.
• From the Account Articles Scraper: each row's url field.

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Output (one row per Actor run)

{
  "url": "https://mp.weixin.qq.com/s/TSNQKkRpN1qbKsT7BvzqIw",
  "mode": "with-replies",
  "commentId": "3884868893382230017",
  "appmsgId": "2247780992",
  "totalCount": 28,
  "electedTotal": 22,
  "fetchedCount": 10,
  "hasMore": false,
  "continueFlag": 0,
  "commentsPages": 1,
  "comments": [
    {
      "contentId": "921450079049482451",
      "nickName": "IFGSLL",
      "content": "懂了，这就下单 4070TI",
      "likeNum": 20,
      "createTime": 1741148721,
      "ipRegion": { "country": "中国", "province": "江苏", "city": "" },
      "ipIds":    { "country": "156", "province": "", "city": "" },
      "isElected": 1,
      "isTop": 0,
      "identityName": "oHQDtwGndOC9slgFqApFtbjJEdxk",
      "replyTotal": 1,
      "replies": [
        {
          "replyId": "2",
          "nickName": "🦄Savior",
          "content": "还没降价，再等等",
          "createTime": 1741149962,
          "ipRegion": { "country": "中国", "province": "河南", "city": "" },
          "ipIds":    { "country": "156", "province": "", "city": "" },
          "identityName": "oHQDtwJjKLALca6GJyICQCRhAvKg",
          "fromAi": 0,
          "replyIsElected": null
        }
      ]
    }
  ],
  "collectedAt": "2026-09-16T12:00:00.000Z"
}

Field notes

• totalCount / electedTotal come from the upstream's first response (total in the system). fetchedCount is how many made it into this run (≤ maxComments).
• contentId / replyId / commentId / appmsgId are always strings (big-integer safe per JSON serialization rules).
• ipRegion is the human-readable form (country_name / province_name / city_name); ipIds carries the parallel numeric codes (country_id / province_id / city_id).
• replies is [] when mode=comments even if replyTotal > 0. Use mode=with-replies to fetch them.
• hasMore=true means upstream still has more comments / replies beyond maxComments / maxReplies. Re-run with higher caps to drain.

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How to run

1. Console: paste any article URL (or use the default) and click Start.
2. API:

   curl -X POST "https://api.apify.com/v2/acts/ier1jWLNCkvLh8vpS/runs?waitForFinish=60" \
     -H "Authorization: Bearer <APIFY_TOKEN>" \
     -H "Content-Type: application/json" \
     -d '{"url":"https://mp.weixin.qq.com/s/...", "mode":"with-replies"}'
   

3. CLI:

   apify call wechat-article-comments-scraper \
     -i '{"url":"https://mp.weixin.qq.com/s/...", "mode":"with-replies", "maxComments":200}'
   

Free users: 5 runs/day. Paid users: 1 PPE event per upstream page (article-comments-result).

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Use it together with the other WeChat Actors

Where in the pipeline	Actor	Console
step ① listing	Account Articles Scraper	…/vxAjW6anQJQWk7xTF
step ② detail	Article Detail Scraper	…/5vrr8dBcnclIva0Lx
step ③ metrics	Article Metrics Scraper	…/y3ZqhBdIY2LzGtkVK
step ④ comments (you are here)	Article Comments Scraper	…/ier1jWLNCkvLh8vpS
step ① profile (alt)	Account Profile Scraper	…/3JV499ECEjb5un854

You are here: Article Comments Scraper (step ④) — pair it with an Article Detail / Metrics output for the URL, or pass any URL you already have.

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Pricing

PPE: 1 event per upstream page fetched. article-comments-result event is charged with count = (comments pages) + (reply batches). Mode comments typically produces 1-3 PPE per run; mode with-replies produces (comments pages) + (number of comments with replies) PPE per run.

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Tests

$npm test

Runs unit assertions (input validation, body shape, normalize across comments / with-replies / raw=true / raw=false, §98 string coercion, ip_wording flattening, null handling) plus 9 integration scenarios (mock fetch drives the full run() flow including default/with-replies modes, commentId forwarding, maxComments cap, free-tier gating, upstream errors).

✅ unit.js: all assertions passed.
integration.js: 9 scenarios passed.