Weibo Comments Scraper - 微博评论 Comments & Replies

Scrape the comments and replies of Weibo (微博) posts. Give post URLs, and get each comment with its text, time, likes, IP region (IP属地) and author (name, verification, followers and avatar), plus the replies under it.

No Weibo account, login or cookies are needed. Download the data as JSON, CSV or Excel, run the Actor from the API on a schedule, or ask an AI assistant such as Claude or ChatGPT to get Weibo comments for you.

What does Weibo Comments Scraper do?

It reads the public comment section of each Weibo post that you give it. You get one row for each top-level comment, and the replies to that comment are in the same row.

For each comment you get:

• Comment: ID, text, publish time and likes
• Author: user ID, name, profile URL, verification and its reason (认证), followers and avatar
• IP region: the province or country that Weibo shows under the comment (IP属地, for example 四川 or 英国)
• Replies: the number of replies that Weibo counts, and the replies themselves. Each reply has its text, time, author, likes, IP region and the name of the user it answers
• Post: the ID and URL of the post, so you can scrape many posts in one run

By default, each comment has the first replies that Weibo sends with it. Turn on Include full reply threads to get the reply threads of comments that have more replies.

Because it runs on the Apify platform, you also get API access, scheduling, integrations, proxy rotation and run monitoring.

Why scrape Weibo comments?

Weibo is one of China's largest social networks. Its comment sections show how Chinese users react to brands, celebrities, news and products in real time.

• Sentiment analysis: collect the reactions to a product launch, an ad campaign or a public statement.
• Brand and crisis monitoring: track what users say under the posts of a brand, a competitor or a key opinion leader (KOL).
• Regional insight: use the IP region of each comment to see where the reactions come from.
• Fan and community research: study the fan communities of celebrities, shows and games.
• AI and NLP datasets: build dated, attributed corpora of informal Chinese text with engagement numbers.

How to scrape Weibo comments

1. Open a Weibo post in your browser and copy its URL.
2. Paste one or more URLs into Post URLs.
3. Set Max comments per post. The default is 100, and 0 gets all the comments that Weibo shows.
4. Optional: turn on Include full reply threads.
5. Click Start and wait for the run to finish.
6. Open the Output tab to see the comments, or export them as JSON, CSV, Excel, XML or HTML.

Input

Configure the run on the Input tab, or send the input as JSON.

Field	What it does	Example
Post URLs	Weibo post URLs or post IDs. These formats work: weibo.com/{user}/{post}, weibo.com/detail/{id}, m.weibo.cn/detail/{id}, m.weibo.cn/status/{id} and bare IDs	["https://weibo.com/2902408801/RluBSdMAw"]
Max comments per post	The most top-level comments to save for each post. Replies do not count. 0 = all that Weibo shows	100
Include full reply threads	Gets the full reply thread of each comment that has more replies than Weibo sends with it. It does not change which comments you get or how many	false

Example: the top 50 comments of one post

{
  "postUrls": ["https://weibo.com/2902408801/RluBSdMAw"],
  "maxResults": 50
}

Example: all visible comments with full reply threads

{
  "postUrls": [
    "https://weibo.com/2902408801/RluBSdMAw",
    "https://m.weibo.cn/detail/5351830879994049"
  ],
  "maxResults": 0,
  "includeAllReplies": true
}

Output

You get one row for each top-level comment. Here is a row from a real run (the reply list is shortened to one reply):

{
  "id": "5351241208299990",
  "postId": "5351225563285040",
  "postUrl": "https://weibo.com/2902408801/RluBSdMAw",
  "text": "圖8超美[鲜花]",
  "createdAt": "2026-10-07T04:33:08+08:00",
  "author": {
    "id": "1795913557",
    "name": "沈芷凝",
    "url": "https://weibo.com/u/1795913557",
    "verified": true,
    "verifiedReason": "编剧，作品：《又见一帘幽梦》《丝丝心动》《藏心术》《美人无泪》《倾城雪》",
    "followersCount": 311150,
    "avatarUrl": "https://tvax1.sinaimg.cn/crop.0.0.1080.1080.1024/6b0b7755ly8i7oxshc46ij20u00u0wkf.jpg?KID=imgbed,tva&Expires=1791527776&ssig=lOzgvgVSuD"
  },
  "likesCount": 432,
  "location": "英国",
  "replyCount": 3,
  "replies": [
    {
      "id": "5351358226239293",
      "text": "哈哈哈，我也喜欢🥰",
      "createdAt": "2026-10-07T12:18:07+08:00",
      "author": {
        "id": "7636373980",
        "name": "V-吼吼-",
        "url": "https://weibo.com/u/7636373980",
        "verified": false,
        "verifiedReason": null,
        "followersCount": 0,
        "avatarUrl": "https://tvax2.sinaimg.cn/crop.0.0.1080.1080.1024/008kNrIgly8ifs3y0b18kj30u00u0423.jpg?KID=imgbed,tva&Expires=1791527776&ssig=MXK2Flkviy"
      },
      "likesCount": 48,
      "location": "江苏",
      "replyToCommentId": "5351241208299990",
      "replyToName": "沈芷凝"
    }
  ],
  "scrapedAt": "2026-10-09T03:36:18+00:00"
}

The Output tab shows the comments in a table with the time, author, text, likes, replies, IP region and post link. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Description
id	Comment ID
postId / postUrl	ID and link of the post
text	Comment text. Weibo emoji show as [name], for example [鲜花]
createdAt	Publish time, ISO 8601, China time (UTC+8)
author	id, name, url, verified, verifiedReason, followersCount, avatarUrl
likesCount	Likes on the comment
location	The IP region that Weibo shows (IP属地): a Chinese province or a country. Replies from Weibo's AI accounts show a label instead
replyCount	The number of replies that Weibo counts for the comment
replies	The replies: id, text, createdAt, author, likesCount, location, replyToCommentId, replyToName
scrapedAt	When your run collected the row (UTC)

How to use Weibo Comments Scraper

In Apify Console

1. Open the Actor, fill in the Input tab and click Start.
2. Watch the run's progress in the log, then open the Output tab.
3. Click Save as a new task to run the same setup again with one click. On the task, add a Schedule to collect new comments every day or week.

With the Apify API (HTTP)

Run the Actor and get its results in one request. Replace YOUR_API_TOKEN with your token from Settings → API & Integrations in Apify Console.

curl -X POST "https://api.apify.com/v2/acts/hgservices~weibo-comments-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"postUrls": ["https://weibo.com/2902408801/RluBSdMAw"], "maxResults": 50}'

Add &format=csv or &format=xlsx to the URL to get CSV or Excel instead of JSON. For long runs, start the run with POST /v2/acts/hgservices~weibo-comments-scraper/runs, and then read the items of the run's default dataset when it finishes.

With the JavaScript client

Install the client with npm install apify-client, then run:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('hgservices/weibo-comments-scraper').call({
    postUrls: ['https://weibo.com/2902408801/RluBSdMAw'],
    maxResults: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const comment of items) {
    console.log(comment.createdAt, comment.author?.name, comment.likesCount, comment.text);
}

With the Python client

Install the client with pip install apify-client, then run:

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("hgservices/weibo-comments-scraper").call(
    run_input={
        "postUrls": ["https://weibo.com/2902408801/RluBSdMAw"],
        "maxResults": 50,
        "includeAllReplies": True,
    }
)

for comment in client.dataset(run.default_dataset_id).iterate_items():
    print(comment["createdAt"], comment["location"], comment["text"])
    for reply in comment["replies"]:
        print("    ↳", reply["text"])

With Claude, ChatGPT and other AI assistants (MCP)

Connect your AI assistant to the Apify MCP server. The assistant can then run this Actor for you and answer from the results. To give the assistant this Actor as a tool, use this server URL:

https://mcp.apify.com?tools=hgservices/weibo-comments-scraper

• Claude (claude.ai or Claude Desktop): open Settings → Connectors, click Add custom connector and paste the URL.
• Claude Code: run claude mcp add --transport http apify "https://mcp.apify.com?tools=hgservices/weibo-comments-scraper".
• Apify CLI: run apify mcp install claude-code --tools hgservices/weibo-comments-scraper (also works for cursor, vscode and codex).
• ChatGPT: in Settings → Apps & Connectors, turn on developer mode, create a connector and paste the URL.
• Cursor, VS Code and other MCP clients: add the URL as a remote (HTTP) MCP server.

Sign in with your Apify account when asked. Then ask in plain language, for example:

• "Get the top 100 comments of https://weibo.com/2902408801/RluBSdMAw and summarize the reactions in English."
• "Scrape the comments of these Weibo posts and tell me which provinces the commenters come from."
• "Get the comments of this Weibo post with full reply threads, and list the 10 comments with the most likes."

With integrations

Send the results to Google Sheets, Slack, email, Zapier, Make, n8n, Airbyte or any webhook from the Actor's Integrations tab. For example, scrape the comments of a brand's newest posts every day and send them to a Google Sheet.

Tips

• Start small. Run with a low Max comments per post to see the data, and then raise it.
• Get replies only when you need them. The first replies of each comment come with it. Include full reply threads makes more requests, so the run takes longer.
• Paste any post URL. Desktop URLs, mobile URLs and bare post IDs all work. Two URLs of the same post are scraped once.
• Find the posts first. Use Weibo Post Scraper or Weibo Video Scraper to find posts, and then give their URLs to this Actor.

Limits

• Weibo shows only part of a big comment section to visitors. In tests, a post with 200,867 comments gave about 300 top-level comments, and a small post gave 37 of 90. Weibo folds the other comments. The replyCount field and the comment count of the post are Weibo's own numbers, so they can be higher than what you get.
• Reply threads can also be partial. With Include full reply threads on, you get the replies that Weibo shows under each comment. In tests, this was most of them.
• The IP region is what Weibo shows. It is the region of the commenter's IP address, not a verified home address.
• Deleted, private and unknown posts are skipped. The log tells you which posts were skipped.

Related Actors

• Weibo Post Scraper gets the posts themselves: full text, stats and media.
• Weibo Video Scraper finds a user's video posts. Give their URLs to this Actor.
• Weibo Profile Scraper gets user profiles, followers and bios.
• Weibo Hot Search Scraper gets the 微博热搜 trending topics.

FAQ, disclaimers and support

Do I need a Weibo account or cookies? No. The Actor reads only the comments that Weibo shows to any visitor. It never logs in, so your account is never at risk.

Do I need a proxy? No. The Actor uses Apify Proxy on its own and changes its IP address when Weibo limits a session.

Why do I get fewer comments than the post shows? Weibo shows visitors only part of a big comment section. See Limits above.

Why does a reply have 微博智搜AI生成 or a bot name as its location? Some replies come from Weibo's AI accounts, such as 微博智搜 (Weibo AI search). Weibo shows a label in the place of an IP region for these replies, and the Actor keeps that label. If Weibo shows no IP region, location is null.

Can it scrape the comments of every post of a user, or of a keyword search? Not directly. This Actor takes post URLs. Use Weibo Post Scraper or Weibo Video Scraper to get the post URLs first.

Is it legal to scrape Weibo comments? The Actor collects only data that is publicly available. Comments contain personal data, which is protected by laws such as the GDPR and China's PIPL. You are responsible for using the data in line with Weibo's terms of service and these laws. Scrape only what you have a legitimate reason to use.

I found a problem or need a feature. Open an issue on the Issues tab, and we will look into it. Custom solutions for Weibo and other Chinese websites are available on request.