🔴 Weibo Scraper
Pricing
$3.00 / 1,000 results
🔴 Weibo Scraper
Extract Weibo data — text, reposts, likes, and more. Scrape by keyword, URL or ID. Export to JSON, CSV & Excel, use the API, schedule runs and integrate. No code required.
Pricing
$3.00 / 1,000 results
Rating
0.0
(0)
Developer
Jackie Chen
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
15 hours ago
Last modified
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Weibo Scraper

Scrape Weibo (微博) in four modes — keyword search, user timeline, post comments, and hot-search trends — with zero configuration. Returns clean, structured data for each record: text, like / comment / repost counts, author info, timestamps, and the canonical URL.
Unofficial. This Actor is not affiliated with, authorized, or endorsed by Weibo (Sina Weibo / 新浪微博) or Sina Corporation. It is an independent tool that retrieves publicly available data via a third-party API. Use it in compliance with Weibo's terms and all applicable laws; you are responsible for how you use the retrieved data.
What it does
- Keyword search — give one or more keywords; the Actor paginates Weibo search results for each. Chinese keywords return the most results.
- User timeline — give one or more numeric Weibo user IDs (uid) to scrape the posts they have published.
- Post comments — give one or more numeric post IDs (mid); one dataset item is pushed per comment.
- Hot-search trends — enable
includeHotSearchto scrape the live Weibo hot-search ranking (top ~50 trending topics).
You can combine any of the modes in a single run.
Input
| Field | Type | Default | Description |
|---|---|---|---|
searchKeywords | string[] | ["美食"] | Keywords to search. Each is paginated independently. |
userIds | string[] | [] | Numeric Weibo user IDs (uid) whose timeline to scrape. |
postIds | string[] | [] | Numeric post IDs (mid) to fetch comments for. |
includeHotSearch | boolean | false | Also scrape the current hot-search ranking. |
maxItems | integer | 50 | Max total items across all modes. |
maxCommentsPerPost | integer | 50 | Cap on comments per post ID. |
Example input
{"searchKeywords": ["美食", "旅行"],"userIds": ["6048496695"],"postIds": ["5305452082759612"],"includeHotSearch": true,"maxItems": 200}
Output
One dataset item per record. Posts (search / user timeline):
{"id": "5305452082759612","type": "post","bid": "R2hPGbzTS","text": "唯唯的吃喝plog🥬🍳🍇 ...","createdAt": "Tue Jun 02 20:03:30 +0800 2026","source": "美食博主 微博VLOG博主","repostsCount": 91,"commentsCount": 114,"attitudesCount": 829,"picNum": 9,"url": "https://weibo.com/6048496695/5305452082759612","author": {"userId": "6048496695","screenName": "唯唯带你吃","followersCount": 1251000,"verified": true},"fetchedVia": "search:美食"}
Comments have type: "comment" with postId, text, attitudesCount, author.
Trends have type: "trend" with rank, keyword, heat, tag, url.
Notes
- Data is sourced live; Weibo occasionally rate-limits, so the Actor retries transient blocks (Cloudflare 403 / 429 / 5xx) with exponential backoff.
- Item IDs are de-duplicated within a run.