# 🔴 Weibo Scraper (`ethereal_wool/weibo-scraper`) Actor

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.

- **URL**: https://apify.com/ethereal\_wool/weibo-scraper.md
- **Developed by:** [Jackie Chen](https://apify.com/ethereal_wool) (community)
- **Categories:** Social media, News
- **Stats:** 13 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Weibo Scraper

![weibo-scraper](https://api.apify.com/v2/key-value-stores/48FFrfZnw5XqzUC1C/records/weibo-scraper__hero)

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 `includeHotSearch` to 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

```json
{
  "searchKeywords": ["美食", "旅行"],
  "userIds": ["6048496695"],
  "postIds": ["5305452082759612"],
  "includeHotSearch": true,
  "maxItems": 200
}
```

### Output

One dataset item per record. Posts (search / user timeline):

```json
{
  "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.

# Actor input Schema

## `searchKeywords` (type: `array`):

Keywords to search Weibo posts for. Each keyword is searched and paginated independently. Chinese keywords return the most results.

## `userIds` (type: `array`):

Weibo user IDs (numeric uid, e.g. 6048496695) whose posted timeline you want to scrape.

## `postIds` (type: `array`):

Weibo post IDs (numeric mid, e.g. 5305452082759612) to fetch comments for. One dataset item is pushed per comment.

## `includeHotSearch` (type: `boolean`):

Also scrape the current Weibo hot-search ranking (top ~50 trending topics). One dataset item is pushed per trend.

## `maxItems` (type: `integer`):

Maximum total number of items to scrape across all keywords, users, posts and trends.

## `maxCommentsPerPost` (type: `integer`):

Maximum comments to fetch per post ID in comments mode.

## `proxyConfiguration` (type: `object`):

Optional. Route the upstream API calls through an Apify Proxy to vary the source IP. Usually not needed.

## Actor input object example

```json
{
  "searchKeywords": [
    "美食"
  ],
  "userIds": [],
  "postIds": [],
  "includeHotSearch": false,
  "maxItems": 50,
  "maxCommentsPerPost": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchKeywords": [
        "美食"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ethereal_wool/weibo-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "searchKeywords": ["美食"] }

# Run the Actor and wait for it to finish
run = client.actor("ethereal_wool/weibo-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchKeywords": [
    "美食"
  ]
}' |
apify call ethereal_wool/weibo-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=ethereal_wool/weibo-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/9wUc0VQSCcKaNfK3B/builds/GwOx8UarwdHbijSFq/openapi.json