Weibo Monitor: Keywords & Profiles, No Login

Follow keywords and accounts on Weibo (微博) on a schedule, and pay only for posts you haven't seen. No Weibo account or cookie needed, including for following a profile.

Add what you want to track, turn on Only posts I haven't received, and schedule it. Each run returns just what's new, with full text, author, engagement, region and media.

Who it's for

• China analysts and OSINT teams: watch breaking topics and official accounts as they post.
• Brand and PR teams: catch mentions of your brand or competitors in Chinese.
• Market researchers: track consumer conversation and what's trending.
• Developers: feed new posts into your own app, database or alerts through the Apify API.

Quick start

{
  "keywords": ["地震", "新能源汽车"],
  "profiles": ["https://weibo.com/u/2803301701", "新浪科技"],
  "only_new": true
}

Profiles can be a numeric ID, a weibo.com link or an exact account name. A link or ID is safest.

To get only new posts on a schedule:

1. Add keywords, profiles or both, and turn on Only posts I haven't received.
2. Save it as a task and click Schedule, for example every 30 minutes.
3. Connect the results with a webhook or integration, or download them.

The first run returns the latest posts. Later runs return only what's new. For several separate lists, give each a Monitor name.

What you get

{
  "record_type": "post",
  "post_id": "5360000000000000",
  "post_url": "https://weibo.com/2803301701/AbCdEfGhI",
  "posted_at": "2026-11-02T05:43:09Z",
  "text": "示例微博内容",
  "truncated": false,
  "pinned": false,
  "author_id": "2803301701",
  "author_name": "示例账号",
  "author_verified": true,
  "author_followers": 15800000,
  "reposts": 18,
  "comments": 11,
  "likes": 69,
  "region": "北京",
  "topics": ["示例话题"],
  "images": ["https://example.com/photo.jpg"],
  "video_url": null,
  "matched_keywords": ["地震"],
  "matched_profiles": []
}

A post found by two keywords or profiles is returned, and charged, once. The run's OUTPUT record lists each target's status.

Profile details: turn on Add profile details to also get each account's name, bio, followers, following, post count and verification:

{
  "record_type": "profile",
  "user_id": "2803301701",
  "name": "示例账号",
  "profile_url": "https://weibo.com/u/2803301701",
  "description": "示例简介",
  "followers": 15800000,
  "following": 3000,
  "posts_count": 125000,
  "verified": true,
  "verified_reason": "示例认证"
}

To look up accounts without collecting their posts, also turn off Get posts from profiles. Each profile counts as one result, and details are returned on every run, including with only new posts on.

Trending list: turn on Add the trending list to also get Weibo's hot search board (微博热搜), about 50 topics with rank and heat. Each topic counts as one result.

What it costs

You pay $3 per 1,000 results and $0.0005 per run, plus a small Apify platform charge for compute and storage.

Example	Results	Event charges
One-off: 5 keywords and 5 profiles	About 100	About $0.30
Check every 30 minutes that finds nothing new	0	$0.0005 per run
Monitor collecting 100 new posts a day	3,000 a month	About $9.70 a month

Repeat posts aren't charged when Only posts I haven't received is on. The trending list adds about $0.15 each time, so it's off by default.

Good to know

• Built for recent posts, not history: each keyword or profile returns about 10 of its latest posts per run.
• Schedule busy keywords often: a busy keyword can get more than 10 posts between runs, and older ones would be missed.
• Pinned posts can be old: they're flagged as pinned.
• Follower counts can be rounded: large accounts may show figures like 1.58亿.
• Names must match exactly: otherwise the profile is reported as not_found.
• If Weibo refuses access: the run stops and reports blocked, instead of quietly returning nothing.

Terms and responsible use

This is an unofficial tool, not affiliated with or endorsed by Weibo or Sina. You are responsible for how you use it and the data, including under Weibo's terms and privacy laws such as China's PIPL. Posts can contain personal data.