Weibo Scraper: Posts, Users, Hot Search & Comments

🔥 Weibo Scraper

🚀 Export Weibo posts in seconds. Search by keyword, pull a profile's latest posts, fetch any post by link, or cover the live hot-search board, and get every post as a flat 50-field row with exact likes, comments and reposts, author stats, pictures, playable video and optional top comments. About 90 unique posts per keyword and 50 trending topics per board, from a plain HTTP client with no account.

Sina Weibo (新浪微博) is China's largest public microblog, where news breaks, brands launch and trending topics (热搜) are ranked minute by minute. This Actor reads the same JSON the Weibo mobile site loads for a logged-out visitor, so every field comes from Weibo itself. No browser, no API key, no login cookie of your own.

Every row carries the post text in its original Chinese, the publish time in ISO 8601, the province Weibo shows as the IP location, and three engagement counters. Weibo prints large numbers as "8252.4万" or "1.58亿", so the row ships the parsed integer (82524000) next to the text exactly as Weibo printed it. Four ways in: keywords across five search tabs, users by id, handle or screen name, post links with no depth limit, and the top 1 to 50 topics of the hot-search board.

🎯 Target Audience	💡 Primary Use Cases
China market and brand researchers	Read what Chinese consumers say about a product or a competitor, in their own words
Social listening and PR agencies	Track a campaign hashtag or a crisis topic by likes, comments and reposts
News, finance and policy analysts	Follow what is trending on the hot-search board and who is driving it
AI and NLP teams	Build Chinese-language corpora with engagement labels and author metadata

📋 What the Weibo Scraper does

💡 Why it matters: the hot-search board is where China's public agenda gets set, and it changes every minute. This Actor turns a ranked topic into the posts behind it, each tagged with the topic's rank, heat score and label, so "what is trending" and "what people are saying about it" land in one table.

• 🔎 Keyword search across five tabs: Top (综合), Latest (实时), Hot (热门), Images (图片) and Videos (视频). Tabs are merged and deduplicated, which gives about 90 unique posts for a keyword such as 咖啡.
• 👤 Profiles by id, link, handle or name: 1669879400, https://weibo.com/u/1669879400, https://weibo.com/rmrb or 人民日报 all work. You get the latest posts Weibo shows a visitor, about 10 to 20 per profile.
• 📝 Any post by link: https://weibo.com/<uid>/<bid>, https://m.weibo.cn/detail/<id> or a bare id. No depth limit.
• 🔥 Hot-search coverage: pick the top N topics of the live board and the Actor searches each one, tagging every post with hotSearchRank, hotSearchHeat and hotSearchLabel.
• 📜 Full text of long posts: Weibo truncates long posts in lists. The Actor fetches the complete text for you, on by default.
• ❤️ Exact counters plus Weibo's own label: likes, comments, reposts and video plays as integers, and the text Weibo displays, including its "100万+" cap on comments and reposts.
• 🖼 Media: every full-size picture, plus a playable MP4 link, title, play count and duration for video posts.
• 👥 Author on every row: name, id, avatar, verification label, followers, following, post count, bio and gender.
• 💬 Top comments add-on: switch it on to attach the first public page of comments (about 20) with author, likes, reply count and time.

🎬 Full Demo (🚧 Coming soon)

A short walkthrough video is in production.

📊 Output

Field	Type	Description
🖼 imageUrl	string	First picture or video cover, N/A for text-only posts
🆔 postId	string	Numeric Weibo post id, used for deduplication
🔖 bid	string	Short id used in weibo.com links
🔗 url	string	Post link on weibo.com
📱 mobileUrl	string	Post link on m.weibo.cn
📝 text	string	Full post text, emoji codes kept as [name]
📜 isLongText	string	Yes when Weibo truncates the post in lists
📅 createdAt	string	Publish time, ISO 8601 UTC
📍 postedFrom	string	Province or country Weibo shows as the IP location
📲 client	string	Client or label the post was published from
❤️ likesCount / likesCountText	integer / string	Likes, parsed and as shown
💬 commentsCount / commentsCountText	integer / string	Comments, parsed and as shown (100万+ when capped)
🔁 repostsCount / repostsCountText	integer / string	Reposts, parsed and as shown
👤 authorId, authorName, authorUrl, authorAvatar	string	Who posted it
✅ authorVerified, authorVerifiedReason	string	Verification status and label
👥 authorFollowers / authorFollowersText	integer / string	Followers, parsed and as shown (8252.4万)
➡️ authorFollowing, authorPostsCount	integer	Accounts followed and total posts
🪪 authorDescription, authorGender	string	Bio and gender
🖼 pictureCount	integer	Pictures attached
🎬 videoUrl, videoTitle	string	Playable MP4 and title, N/A when no video
▶️ videoPlayCount / videoPlayCountText	integer / string	Video plays, parsed and as shown
⏱ videoDurationSeconds	integer	Video length in seconds
🔁 isRepost, repostedPostId, repostedText, repostedAuthorName	string	The original post when this one is a reshare
🧭 sourceType, sourceQuery, searchTab	string	Which input produced the row
🔥 hotSearchRank, hotSearchHeat, hotSearchLabel	integer / string	Trending-topic context, 0 / N/A otherwise
#️⃣ hashtags, 📣 mentions, 🖼 pictures	array	Topics, @mentions and full-size picture links
💬 topComments	array	First public page of comments when the add-on is on, otherwise []
🕒 scrapedAt	string	When the row was collected
❌ error	string or null	Filled only on error rows, which are never billed

Three real records from a run (keyword search, a profile, and a hot-search topic):

[
  {
    "imageUrl": "https://wx3.sinaimg.cn/mw2000/0076DOeAgy1ih5cr7ysioj32c0340qv5.jpg",
    "postId": "5343736894851317",
    "bid": "RilNnkm33",
    "url": "https://weibo.com/6511075736/RilNnkm33",
    "mobileUrl": "https://m.weibo.cn/detail/5343736894851317",
    "text": "每次找到好喝的我都想分享[春游家族]\n库迪这个特别好喝！我点的这个咖啡味没有很浓（喜欢咖啡味重一点的可以选加浓）\n喝起来很丝滑浓郁～",
    "isLongText": "No",
    "createdAt": "2026-09-16T03:33:40.000Z",
    "postedFrom": "重庆",
    "client": "iPhone客户端",
    "likesCount": 747,
    "likesCountText": "747",
    "commentsCount": 275,
    "commentsCountText": "275",
    "repostsCount": 3,
    "repostsCountText": "3",
    "authorId": "6511075736",
    "authorName": "ririzi-",
    "authorUrl": "https://weibo.com/u/6511075736",
    "authorAvatar": "https://wx1.sinaimg.cn/orj480/0076DOeAly8i43b1xh2wkj30e80e8mx1.jpg",
    "authorVerified": "No",
    "authorVerifiedReason": "N/A",
    "authorFollowers": 300000,
    "authorFollowersText": "30万",
    "authorFollowing": 2,
    "authorPostsCount": 1504,
    "authorDescription": "还算ok的一人",
    "authorGender": "Female",
    "pictureCount": 1,
    "videoUrl": "N/A",
    "videoTitle": "N/A",
    "videoPlayCount": 0,
    "videoPlayCountText": "0",
    "videoDurationSeconds": 0,
    "isRepost": "No",
    "repostedPostId": "N/A",
    "repostedText": "N/A",
    "repostedAuthorName": "N/A",
    "sourceType": "search",
    "sourceQuery": "咖啡",
    "searchTab": "Top",
    "hotSearchRank": 0,
    "hotSearchHeat": 0,
    "hotSearchLabel": "N/A",
    "hashtags": [],
    "mentions": [],
    "pictures": [
      "https://wx3.sinaimg.cn/mw2000/0076DOeAgy1ih5cr7ysioj32c0340qv5.jpg"
    ],
    "topComments": [],
    "scrapedAt": "2026-09-16T19:29:02.049Z",
    "error": null
  },
  {
    "imageUrl": "https://wx1.sinaimg.cn/orj480/0033ImPzly1ih5x55dft8j60u0140jvn02.jpg",
    "postId": "5343913961064173",
    "bid": "RiqoY4sQ5",
    "url": "https://weibo.com/2803301701/RiqoY4sQ5",
    "mobileUrl": "https://m.weibo.cn/detail/5343913961064173",
    "text": "【壹视界·#平陆运河如何跨越65米落差#通江达海？】#平陆运河在水上硬核搭电梯# 平陆运河全程水位落差高达65米，如何翻越这道“坎”，确保5000吨级船舶通航安全？河道上建“楼梯”：3座梯级枢纽，逐级消纳落差；枢纽里搭“电梯”：通过阀门抬升或降低水位，水托着船垂直升降，平移到下一级水面……技术攻关，创新突破，世界之“最”彰显平陆运河的硬核实力。戳视频了解↓↓↓ 人民日报的微博视频",
    "isLongText": "Yes",
    "createdAt": "2026-09-16T15:17:16.000Z",
    "postedFrom": "Not Disclosed",
    "client": "微博视频号",
    "likesCount": 314,
    "likesCountText": "314",
    "commentsCount": 152,
    "commentsCountText": "152",
    "repostsCount": 104,
    "repostsCountText": "104",
    "authorId": "2803301701",
    "authorName": "人民日报",
    "authorUrl": "https://weibo.com/u/2803301701",
    "authorAvatar": "https://wx4.sinaimg.cn/orj480/0033ImPzly8h8vgemh8kxj60sa0sadgw02.jpg",
    "authorVerified": "Yes",
    "authorVerifiedReason": "《人民日报》法人微博",
    "authorFollowers": 158000000,
    "authorFollowersText": "1.58亿",
    "authorFollowing": 3096,
    "authorPostsCount": 153139,
    "authorDescription": "人民日报法人微博。参与、沟通、记录时代。",
    "authorGender": "Male",
    "pictureCount": 0,
    "videoUrl": "https://f.video.weibocdn.com/o0/O5WokKSglx08AQS5hfN601041201vSJ10E010.mp4?label=mp4_720p&template=720x960.24.0&ori=0&ps=1Cx9YB1mmR49jS&Expires=1789590493&ssig=HaEh1EPNWP&KID=unistore,video",
    "videoTitle": "人民日报的微博视频",
    "videoPlayCount": 90000,
    "videoPlayCountText": "9万次播放",
    "videoDurationSeconds": 119,
    "isRepost": "No",
    "repostedPostId": "N/A",
    "repostedText": "N/A",
    "repostedAuthorName": "N/A",
    "sourceType": "user",
    "sourceQuery": "2803301701",
    "searchTab": "N/A",
    "hotSearchRank": 0,
    "hotSearchHeat": 0,
    "hotSearchLabel": "N/A",
    "hashtags": [
      "平陆运河如何跨越65米落差",
      "平陆运河在水上硬核搭电梯"
    ],
    "mentions": [],
    "pictures": [],
    "topComments": [],
    "scrapedAt": "2026-09-16T19:28:58.348Z",
    "error": null
  },
  {
    "imageUrl": "https://wx4.sinaimg.cn/mw2000/aafc85c3gy1ih62gg8pf7j20ow11eqia.jpg",
    "postId": "5343955102466205",
    "bid": "Rirtkalzv",
    "url": "https://weibo.com/2868676035/Rirtkalzv",
    "mobileUrl": "https://m.weibo.cn/detail/5343955102466205",
    "text": "#美联储时隔3年首次加息##美联储官宣加息25基点#【美联储加息25个基点 为2023年7月以来首次加息】#美联储点阵图显示今年将再加息1次#财联社9月17日电，美联储宣布将联邦基金利率目标区间上调25个基点，将基准利率上调至3.75%-4.00%。这是美联储自2023年7月以来首次加息。决策者们一致通过了该决定。美联储表示此举将推动通胀更快回归2%的目标。",
    "isLongText": "Yes",
    "createdAt": "2026-09-16T18:00:45.000Z",
    "postedFrom": "Not Disclosed",
    "client": "财联社（https://www.cls.cn）官方微博",
    "likesCount": 115,
    "likesCountText": "115",
    "commentsCount": 29,
    "commentsCountText": "29",
    "repostsCount": 63,
    "repostsCountText": "63",
    "authorId": "2868676035",
    "authorName": "财联社APP",
    "authorUrl": "https://weibo.com/u/2868676035",
    "authorAvatar": "https://wx4.sinaimg.cn/orj480/aafc85c3ly8h8vg6ezotfj2050050dfn.jpg",
    "authorVerified": "Yes",
    "authorVerifiedReason": "财联社（https://www.cls.cn）官方微博",
    "authorFollowers": 4552000,
    "authorFollowersText": "455.2万",
    "authorFollowing": 1354,
    "authorPostsCount": 355418,
    "authorDescription": "财联社|机构和私募主力都在使用的证券快讯APP",
    "authorGender": "Male",
    "pictureCount": 2,
    "videoUrl": "N/A",
    "videoTitle": "N/A",
    "videoPlayCount": 0,
    "videoPlayCountText": "0",
    "videoDurationSeconds": 0,
    "isRepost": "No",
    "repostedPostId": "N/A",
    "repostedText": "N/A",
    "repostedAuthorName": "N/A",
    "sourceType": "hotSearch",
    "sourceQuery": "美联储",
    "searchTab": "Top",
    "hotSearchRank": 1,
    "hotSearchHeat": 563933,
    "hotSearchLabel": "新",
    "hashtags": [
      "美联储时隔3年首次加息",
      "美联储官宣加息25基点",
      "美联储点阵图显示今年将再加息1次"
    ],
    "mentions": [],
    "pictures": [
      "https://wx4.sinaimg.cn/mw2000/aafc85c3gy1ih62gg8pf7j20ow11eqia.jpg",
      "https://wx1.sinaimg.cn/mw2000/aafc85c3gy1ih62dqnyrjj20s60b0acp.jpg"
    ],
    "topComments": [],
    "scrapedAt": "2026-09-16T19:29:07.314Z",
    "error": null
  }
]

With Include top comments on, topComments holds objects like this one (from a real run):

{ "commentId": "5342475414938361", "text": "代言人热巴每个自然状态都戳中Sisi的心巴～…", "likesCount": 15191, "replyCount": 2462, "createdAt": "2026-09-12T16:01:00.000Z", "location": "Not Disclosed", "authorId": "5929067685", "authorName": "Swisse斯维诗", "authorAvatar": "https://tva4.sinaimg.cn/…" }

✨ Why choose this Actor

	What you get
Four inputs in one run	Keywords, profiles, post links and the hot-search board, merged into one deduplicated dataset.
Real query results	Search returns posts that match your keyword on Weibo's own search tabs, not the generic trending feed.
Trending topics with context	Each hot-search post carries the topic's rank, heat and label, so you can sort the conversation by how hot it is.
Exact numbers and Weibo's label	authorFollowers is 82524000 where Weibo printed 8252.4万. Both are on the row.
Honest caps	Weibo pins big comment and repost counts at 1,000,000 and shows 100万+. The row keeps that label so you never mistake a cap for an exact value.
Full text, not the teaser	Long posts are expanded automatically.
Chinese kept intact	UTF-8 end to end, emoji codes such as [允悲] preserved.
No account needed	Uses Weibo's public visitor access. Nothing to paste from your browser.
Light and fast	HTTP only, no browser, no proxy by default.

📈 How it compares to alternatives

Feature	This Actor	Typical Weibo scrapers	By hand
Fields per post	50	10 to 30	Whatever you copy
Inputs	Keyword, profile, post link, hot search	Usually one or two	One page at a time
Search tabs covered per keyword	5, merged	1	1
Hot-search topic context on each post	Rank, heat, label	Board only, or none	Screenshot
Profile by handle or Chinese screen name	Yes	Numeric id only	Yes
Full text of long posts	Yes	Often truncated	Click "全文"
Exact counts plus the displayed label	Yes	One or the other	Displayed only
Top comments	Optional add-on	Separate Actor	Scroll
Login required	No	Some need your cookie	Yes, beyond page 1
Posts per keyword	About 90 (first page of each tab)	Varies, often logged-in	As many as you scroll

🚀 How to use

1. Create a free Apify account with $5 in credit.
2. Open the Weibo Scraper.
3. Add search keywords, profiles, post links, or a number of hot-search topics. Set Max Items and click Start.
4. Download the dataset as CSV, Excel, JSON or XML from the Storage tab, or read it through the API.

A first run that combines a keyword with the top 5 trending topics:

{ "searchKeywords": ["咖啡"], "hotSearchTopics": 5, "maxItems": 200 }

Free-plan runs return up to 10 posts as a preview. Upgrade your Apify plan to collect up to 1,000,000 posts per run.

💼 Business use cases

☕ Consumer brand research. A beverage brand searches its own name and three competitors every morning, keeps the Latest and Hot tabs, and reads text with likesCount to see which product claims Chinese drinkers repeat.

📣 Campaign and crisis monitoring. A PR agency tracks a campaign hashtag and the brand name, joins rows on postId day over day, and watches repostsCount and postedFrom to see where a story is spreading.

📈 Market-moving news. A research desk covers the top 20 hot-search topics every hour and filters authorVerified = Yes to separate official accounts from commentary on topics like 美联储.

🤝 Influencer discovery. A marketing team runs niche keywords, groups rows by authorId, and ranks creators by authorFollowers and average likes before reaching out.

🔌 Automating Weibo Scraper

• Make and Zapier: run a keyword list every morning and append new posts to Google Sheets or Airtable.
• Slack: post an alert when a tracked keyword appears in a hot-search topic.
• Airbyte: sync the dataset into BigQuery, Snowflake or Postgres for a rolling Weibo warehouse.
• GitHub Actions: snapshot the hot-search board every hour and commit the CSV.
• Google Drive: save each weekly run as an Excel file in a shared folder.

🌟 Beyond business use cases

• 🎓 Research: media scholars studying how topics climb the hot-search board, with exact timestamps and heat scores.
• 🧳 Personal: follow a few favourite accounts and read their latest posts without an app.
• 🤝 Non-profit: monitor public discussion of health, disaster relief or environmental topics in Chinese.
• 🧪 Experimentation: a labelled Chinese-language dataset for sentiment and topic models.

🤖 Ask an AI assistant about this scraper

Paste this into ChatGPT, Claude or any assistant that can browse:

Read https://apify.com/parseforge/weibo-scraper and tell me which fields it returns for a Weibo post, which inputs it accepts, and how many posts I can expect per keyword and per profile.

❓ Frequently Asked Questions

🔎 How many posts do I get per keyword?

About 90 unique posts. Weibo shows a logged-out visitor only the first page of each search tab, so the Actor reads all five tabs (Top, Latest, Hot, Images, Videos) and merges them. The Images tab alone returns about 50. To go wider, add related keywords or #topics#.

👤 How many posts do I get per profile?

The latest 10 to 20. Weibo asks for a login before a visitor can scroll further down a timeline. For older posts from a profile, paste their links into Post URLs: single posts have no limit.

📝 Is there a limit on post links?

No. Every post link or id you list is fetched, as long as the post is public.

🔥 How does the hot-search option work?

The Actor reads the live board (about 50 topics, ads removed), takes the top N you ask for, and searches each topic. Every post from that pass carries hotSearchRank, hotSearchHeat and hotSearchLabel such as 热 (hot) or 新 (new).

🆔 Which profile formats are accepted?

Numeric ids (1669879400), weibo.com/u/<id>, m.weibo.cn/u/<id> and m.weibo.cn/profile/<id> links, custom handles such as weibo.com/rmrb or rmrb, and exact screen names such as 人民日报.

🔢 Why do some posts show exactly 1000000 comments?

Weibo caps comment and repost counters at one million and displays 100万+. commentsCountText and repostsCountText keep that label, so you can tell a capped value from an exact one. Likes are not capped.

📜 Is the full text included for long posts?

Yes. Weibo truncates long posts in search results and timelines. The Actor fetches the complete text automatically. You can switch that off with Fetch full text of long posts for a slightly faster run.

💬 How many comments does the add-on return?

The first public page, about 20 comments per post, ordered by Weibo's hot ranking. Weibo requires a login for deeper pages. The add-on is billed only for posts where comments actually came back.

🎬 Do the video links play?

Yes. videoUrl is the MP4 Weibo serves, usually 720p. The link is signed by Weibo and expires after a few hours, so download the file soon after the run.

📍 What is postedFrom?

The province or country Weibo displays under a post as its IP location (发布于). It is Not Disclosed when Weibo does not show one.

🈶 Is Chinese text kept as is?

Yes. Text, names and hashtags are stored in UTF-8 exactly as Weibo publishes them. Weibo's emoji appear as their codes, for example [允悲].

🛡️ Do I need a proxy?

Usually not. The proxy input is off by default. If Weibo starts refusing the run's address, the Actor moves to the Apify datacenter proxy on its own and keeps going. You can also switch the proxy on yourself if a run ever comes back empty.

🔁 Can the same post appear twice?

No. Rows are deduplicated on Weibo's post id, so a post found by two keywords or two tabs is delivered and billed once. The row keeps the first source that found it.

📄 What output formats are supported?

CSV, JSON, Excel and XML, plus the Apify API and every integration on the Actor page.

❌ What happens when a keyword, profile or link fails?

The Actor retries, then writes a row carrying only an error message, for example a deleted post or an unknown screen name. Error rows are never billed.

🔌 Integrate with any app

The dataset is available through the Apify API the moment the run finishes. Use the run-sync-get-dataset-items endpoint for one-shot calls, webhooks to trigger downstream jobs, or the Make, Zapier, Airbyte and LangChain integrations listed on the Actor page.

🔗 Recommended Actors

• Bilibili Video Scraper
• Threads Search Scraper
• TikTok Hashtag Analytics Scraper
• Reddit Posts & Comments Scraper
• YouTube Comments Scraper

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💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form with your run ID, your input and what you expected.

⚠️ Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Sina Weibo or Sina Corporation. It collects only publicly available data that Weibo shows to logged-out visitors. You are responsible for using the data in compliance with Weibo's terms of use and applicable laws.