Weibo Keyword Search Scraper

Search the Weibo public timeline by keyword with 7 type filters and 4 time scopes. Built for marketing monitoring, trend research, and public sentiment scraping.

One run = one upstream request. Pass a keyword and (optional) searchType / timeScope / page. Page is hard-capped at 1 because page=2+ triggers upstream's login wall (verified 2026-08-20). To collect more, run multiple times with different keywords.

• Actor ID: rXAua7eiA6jxRogdF
• Build: 0.1.5
• Source: A hosted Chinese social data API provider (Weibo endpoints)

What it does

Input	Output
keyword="美食推荐" (defaults) + searchType=1 + page=1	~10 ranked post items matching the keyword, with rank, post_id, mid, text, source, reposts/comments/attitudes counts, and a flat user profile. Raw upstream payload preserved in rawData.

Quick start

{
  "keyword": "美食推荐",
  "searchType": 1,
  "timeScope": "",
  "page": 1
}

Output dataset has one item per post:

{
  "rank": 1,
  "keyword": "美食推荐",
  "searchType": 1,
  "timeScope": null,
  "page": 1,
  "post_id": "5328347665010605",
  "mid": "5328347665010605",
  "created_at": "Wed Aug 05 00:22:22 +0800 2026",
  "text": "现在拍戏都这么拼吗 [允悲] 女演员工伤 偷胯婆的微博视频",
  "text_length": 57,
  "source": "iPhone 17 Pro Max",
  "pic_ids": [],
  "reposts_count": 142,
  "comments_count": 523,
  "attitudes_count": 1820,
  "user": {
    "user_id": 7491687377,
    "screen_name": "偷胯婆",
    "verified": true,
    "verified_type": 0,
    "followers_count": "2.3万"
  },
  "rawData": { /* full upstream mblog object */ }
}

Input fields

Field	Required	Default	Notes
keyword	yes	美食推荐	1..100 characters. Must be a non-empty string.
searchType	no	1 (综合)	One of: 1 综合 / 61 实时 / 3 用户 / 60 热门 / 64 视频 / 63 图片 / 21 精华. All 7 are wired per §40 (every value the upstream supports must be exposed).
timeScope	no	"" (不限)	One of: "" 不限 / hour / day / week / month.
page	no	1	Hard-capped at 1 because page=2+ triggers upstream login wall (§39 maxItems must match upstream's one-page reality).

Pricing

Free users are limited to 5 runs per day. Paid users (APIFY_USER_IS_PAYING=1) have unlimited runs. The Actor itself adds no markup — you pay the upstream provider per request plus the standard Apify compute unit cost.

Output

The Actor pushes one item per post to the default dataset and writes a SUMMARY record to the default key-value store with run details (keyword, searchType, timeScope, page, total from upstream, nextPage token, searchRequestId, pageSize, free-run counter, etc.).

Use it together with the other Weibo Actors

This Actor is the step ② middle link of the 3-Actor Weibo MVP-2 set. Use it together with:

Where in the pipeline	Actor	Console	Use it to
before / step ①	Weibo Hot Search Scraper	Console	step ① — fetch the realtime hot list, get post_id and screen_name of each trend
after / step ②	Weibo Keyword Search Scraper (you are here)	(step ② — middle link)	step ② — search posts by keyword with 7 type filters and 4 time scopes, get post_id of each result
after / step ③	Weibo Post Detail Scraper	Console	step ③ — pull full post text + up to ~150 comments for each post_id

You are here: Weibo Keyword Search Scraper — run this on its own for the upstream use case described above.

Why this Actor exists

Apify has ~50,000 Actors and almost zero Weibo scrapers. This Actor is part of a planned Weibo MVP-2 set (5 Actors covering hot search, keyword search, user profile, post detail + comments, and channel feed) that targets the gap.

Source & credits

Data source: a hosted Chinese social data API provider (Weibo endpoints). The provider charges per upstream request; this Actor adds no markup.

License

MIT