Weibo Scraper 微博 — Search, Hot Search, Posts, Comments & Users

Scrape public data from Weibo (微博), China's biggest public social network, without logging in and without cookies.

• 🔎 Keyword search in all six search tabs — All (综合), Real-time (实时), Hot (热门), Video (视频), Pictures (图片) and the #topic# page — with each post saved once.
• 🔥 Hot search list (热搜榜): the ~50 current hot topics with rank, heat, label (新 / 热 / 沸 / 爆), category and the time each topic entered the list, plus the pinned topic. Paid entries are left out.
• 📈 Trending posts (热门微博) from Weibo's trending feed — up to 1,000 per run (a test run saved 1,000 different posts from the past 7 days in about 8 minutes).
• 📝 Posts with the full text of long posts, images, video link, cover, duration and play count, likes, comments and reposts, IP location (IP 属地), #topics#, @mentions, the reposted post and the author with follower count and verification.
• 💬 Comments and replies, hottest or newest first: text, likes, reply count, floor, date, IP location and commenter. Replies are linked to their comment.
• 👤 User profiles: followers, following, posts, total likes / comments / reposts, verification, registration date, company, 阳光信用 credit level and Weibo's activity labels — plus the user's latest posts.

Typical uses: brand and product monitoring in China, social listening and sentiment analysis, tracking hot topics, influencer research, competitor and campaign analysis, Chinese NLP datasets.

How to use

1. Add one or more of: search keywords, post URLs, users, the hot search list or trending posts.
2. Optionally turn on Comments (and Replies).
3. Click Start, then download the results as JSON, CSV, Excel or via the API.

Input examples

Monitor a brand in all search tabs, with the 20 hottest comments of each post:

{
    "searchQueries": ["小米汽车", "#双11#"],
    "maxPostsPerQuery": 100,
    "includeComments": true,
    "maxCommentsPerPost": 20
}

Today's hot search list and 100 trending posts:

{
    "includeHotSearch": true,
    "hotFeedPosts": 100
}

Profiles with their latest posts, and every comment and reply of one post (m.weibo.cn links, share links and post IDs also work; users can be IDs, profile links or exact nicknames):

{
    "users": ["人民日报", "https://weibo.com/u/1749127163"],
    "postUrls": ["https://weibo.com/1618051664/RpksBkLiS"],
    "includeComments": true,
    "commentsSort": "latest",
    "maxCommentsPerPost": 300,
    "includeReplies": true
}

Output

Every row has a type: post, comment, user or hot_search. Comments carry the postId and postUrl of their post, so CSV and Excel exports stay flat. The Posts, Comments, Users and Hot search tabs of the dataset show each kind as a table.

Post row (from a real run):

{
    "type": "post",
    "id": "5360515280800508",
    "mblogid": "Rpohi3mfq",
    "url": "https://weibo.com/1749127163/Rpohi3mfq",
    "text": "#小米澎程# 11月权益：\n\n5年低息金融方案，月供2932元起，首付4.99万起！还有「限时轻松还」方案可选，轻松享受自在生活。\n\n详情咨询小米汽车门店或小米汽车APP。",
    "isTextTruncated": false,
    "createdAt": "2026-11-01T18:44:59+08:00",
    "postedVia": null,
    "ipLocation": "北京",
    "repostsCount": 28,
    "commentsCount": 124,
    "likesCount": 852,
    "images": ["https://wx1.sinaimg.cn/mw2000/001Un9Srly1iimrowcmqvj60u0190qf402.jpg"],
    "videoUrl": null,
    "videoCoverUrl": null,
    "videoDurationSec": null,
    "videoPlayCount": null,
    "topics": ["小米澎程"],
    "mentions": null,
    "isRepost": false,
    "repostOf": null,
    "isPinned": false,
    "userId": "1749127163",
    "userName": "雷军",
    "userVerified": true,
    "userVerifiedType": 0,
    "userVerifiedReason": "小米创办人，董事长兼CEO；金山软件董事长；天使投资人。",
    "userFollowersCount": 27335000,
    "userUrl": "https://weibo.com/u/1749127163",
    "source": "search:小米汽车",
    "searchTab": "all",
    "rank": 5,
    "scrapedAt": "2026-11-01T22:30:52Z"
}

source tells you where a post came from (search:<keyword>, user:<user ID>, hot_feed or url), searchTab the search tab and rank its position there. Video posts fill videoUrl, videoCoverUrl, videoDurationSec and videoPlayCount; reposts fill repostOf with the original post.

Comment row and a reply to it:

{
    "type": "comment",
    "postId": "5360368534948398",
    "postMblogid": "RpksBkLiS",
    "postUrl": "https://weibo.com/1618051664/RpksBkLiS",
    "commentId": "5360395321868697",
    "text": "是的，你实力更强，尊你为9强好吧[打call]",
    "createdAt": "2026-11-01T10:48:19+08:00",
    "likesCount": 0,
    "repliesCount": 1,
    "floor": 36,
    "ipLocation": "广东",
    "isReply": false,
    "rootCommentId": null,
    "replyToUserName": null,
    "userId": "2289608423",
    "userName": "JimmyBaoBao",
    "userVerified": false,
    "userVerifiedType": 220,
    "userVerifiedReason": null,
    "userFollowersCount": 221,
    "userUrl": "https://weibo.com/u/2289608423",
    "rank": 52,
    "scrapedAt": "2026-11-01T22:21:14Z"
}

{
    "type": "comment",
    "postId": "5360368534948398",
    "postMblogid": "RpksBkLiS",
    "postUrl": "https://weibo.com/1618051664/RpksBkLiS",
    "commentId": "5360398838268612",
    "text": "最后一个被淘汰了 封个九强 合理[笑cry]",
    "createdAt": "2026-11-01T11:02:17+08:00",
    "likesCount": 0,
    "repliesCount": null,
    "floor": null,
    "ipLocation": "广东",
    "isReply": true,
    "rootCommentId": "5360395321868697",
    "replyToUserName": "JimmyBaoBao",
    "userId": "3266261304",
    "userName": "深圳市民李先生",
    "userVerified": false,
    "userVerifiedType": -1,
    "userVerifiedReason": null,
    "userFollowersCount": 302,
    "userUrl": "https://weibo.com/u/3266261304",
    "rank": 1,
    "scrapedAt": "2026-11-01T22:21:14Z"
}

User row (avatar link shortened):

{
    "type": "user",
    "userId": "2803301701",
    "userName": "人民日报",
    "url": "https://weibo.com/u/2803301701",
    "description": "人民日报法人微博。参与、沟通、记录时代。",
    "gender": "male",
    "location": "北京",
    "followersCount": 158130962,
    "followingCount": 3096,
    "postsCount": 154851,
    "totalInteractions": 4005167141,
    "totalLikes": 2532633565,
    "totalComments": 277208233,
    "totalReposts": 1195325343,
    "verified": true,
    "verifiedType": 3,
    "verifiedReason": "《人民日报》法人微博",
    "avatarUrl": "https://tvax4.sinaimg.cn/crop.0.0.1018.1018.1024/0033ImPzly8h8vgemh8kxj60sa0sadgw02.jpg?…",
    "registeredAt": "2012-07-22T02:28:35+08:00",
    "birthday": "1948-06-15 双子座",
    "company": "人民日报社",
    "creditLevel": "阳光信用极好",
    "labels": ["昨日发博32，阅读数100万+，互动数27万", "视频累计播放量543.95亿"],
    "source": "user",
    "scrapedAt": "2026-11-01T22:21:07Z"
}

Hot search rows — the pinned topic (no rank) and number 1:

{
    "type": "hot_search",
    "rank": null,
    "word": "五中全会决定全文",
    "url": "https://s.weibo.com/weibo?q=%23%E4%BA%94%E4%B8%AD%E5%85%A8%E4%BC%9A%E5%86%B3%E5%AE%9A%E5%85%A8%E6%96%87%23",
    "heat": null,
    "label": "热",
    "category": null,
    "onBoardAt": null,
    "isPinned": true,
    "postUrl": "https://weibo.com/1699432410/Rpn1itu2v",
    "scrapedAt": "2026-11-01T22:21:05Z"
}

{
    "type": "hot_search",
    "rank": 1,
    "word": "孙颖莎蒙彼利埃站冠军",
    "url": "https://s.weibo.com/weibo?q=%23%E5%AD%99%E9%A2%96%E8%8E%8E%E8%92%99%E5%BD%BC%E5%88%A9%E5%9F%83%E7%AB%99%E5%86%A0%E5%86%9B%23",
    "heat": 431270,
    "label": null,
    "category": "体育",
    "onBoardAt": "2026-11-02T02:01:15+08:00",
    "isPinned": false,
    "postUrl": null,
    "scrapedAt": "2026-11-01T22:21:05Z"
}

Pricing

Pay only for what you get — no monthly rental:

What	Price
Post	$2.00 per 1,000 ($0.002 each)
Comment or reply	$0.50 per 1,000 ($0.0005 each)
User profile	$2.00 per 1,000 ($0.002 each)
Hot search entry	$0.50 per 1,000 ($0.0005 each)

Fetching the full text of long posts is free. Set a maximum cost per run in the run options; the actor stops cleanly when it is reached and keeps everything scraped so far.

Tips and limits

• Speed: test runs on Apify saved 244 posts, 3 users and the hot search list in 156 seconds; 6 posts with 416 comments and replies in 70 seconds; and 1,000 trending posts in about 8 minutes. 256 MB of memory is enough.
• Search: Weibo shows visitors who are not logged in only the first page of each search tab — about 15 posts in All, 10 in Real-time, 10 in Hot, 15 in Video, 50 in Pictures and 15 on the #topic# page. With all six tabs a keyword gives about 50–110 different posts per run (54 for #双11# in our tests; 小米汽车 reached the limit of 100 we set). For ongoing monitoring, schedule the actor (for example every hour) and remove duplicates across runs by id.
• User posts: visitors see the 10 newest posts of a profile, plus its pinned posts (isPinned).
• Comments: visitors see about the first 300 comments of a post.
• Not included: the lists of reposts (转发列表), likes, followers and following. Weibo does not show them to visitors who are not logged in (for reposts it answers "前方拥堵，请登录后使用").
• IP location (ipLocation) is the province or country Weibo shows on posts and comments; some accounts, such as many state media accounts, have none.
• postedVia is the app, phone model or 超话 a post was sent from. In search results Weibo shows a verified author's title in its place, so it is empty there for verified authors.
• Follower count of the author (userFollowersCount) is not sent by Weibo for trending posts and posts given by URL.
• Play counts of videos found by search or on profiles are rounded by Weibo (for example "4万次播放" = 40000); trending posts have exact counts.
• Links to videos and avatars are signed by Weibo and expire after some time, so download the files soon after the run if you need them. Weibo images (sinaimg.cn) only load with the header Referer: https://weibo.com/.
• Dates (createdAt, registeredAt, onBoardAt) are Beijing time (UTC+8).
• Proxy: Weibo answers visitors without a proxy, so none is used by default. If Weibo starts refusing requests, the actor switches to Apify Proxy by itself.

中文说明

免登录、免 Cookie 采集微博公开数据：关键词搜索（综合、实时、热门、视频、图片、话题 6 个栏目，自动去重），实时热搜榜（排名、热度、新/热/沸/爆标签、分类、上榜时间、置顶话题，不含广告），热门微博，指定微博（长微博自动展开全文，含图片、视频、转评赞、IP 属地、话题、@、转发原文），评论和楼中楼回复（按热度或时间，含 IP 属地、点赞、楼层），用户资料（粉丝、关注、微博数、累计转评赞、认证、注册时间、公司、阳光信用、标签）及最新微博。按条计费：微博 $2/千条，评论 $0.5/千条，用户 $2/千条，热搜 $0.5/千条，可设置单次运行费用上限。

Is it legal?

The actor only collects data that Weibo shows publicly to visitors who are not logged in. Rows include the public Weibo user names and profile links of authors and commenters; if you do not need them, drop the user… fields. Make sure your use of the data complies with the laws that apply to you (for example GDPR or China's PIPL) and with Weibo's terms.