# Weibo Profile Posts Scraper (`toolzerhub/weibo-profile-posts-scraper`) Actor

Collect posts published by one public Weibo user, paginated.

- **URL**: https://apify.com/toolzerhub/weibo-profile-posts-scraper.md
- **Developed by:** [ToolzerHub](https://apify.com/toolzerhub) (community)
- **Categories:** Social media, Automation, For creators
- **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Profile Posts Scraper

Collect posts published by one public Weibo user, paginated automatically.

### Input

| Field | Use it for |
|---|---|
| **`profile`** | Weibo's numeric user ID, or a profile URL (`https://weibo.com/u/<id>`). Required. |
| **`page`** | Page to start from. Default `1`. |
| **`maxItems`** | Maximum rows to save. `0` collects until the source runs out. Default `100`. |

```json
{
  "profile": "1699432410",
  "maxItems": 50
}
```

No login, cookie, or session token needed.

### Output

One row per post.

| Field | Contents |
|---|---|
| **`id`**, **`idstr`**, **`mid`** | Numeric post ID (all the same value in different forms) |
| **`mblogid`** | Weibo's base62 post ID, used in share URLs |
| **`text`**, **`text_raw`** | Post text, with and without HTML markup |
| **`created_at`** | Post timestamp, as Weibo reports it |
| **`reposts_count`**, **`comments_count`**, **`attitudes_count`** | Engagement counts |
| **`user`** | The author's profile, nested |
| **`pic_ids`**, **`pic_num`** | Attached image IDs and count |
| **`source_uid`** | The user ID this run collected |

```json
{
  "id": 5327962377289859,
  "mid": "5327962377289859",
  "mblogid": "RbJqBuAqn",
  "created_at": "Mon Aug 03 22:51:21 +0800 2026",
  "source": "微博视频号",
  "reposts_count": 3,
  "comments_count": 10,
  "attitudes_count": 18
}
```

### Questions

**Why did I get fewer posts than `maxItems`?**
Pagination stops when Weibo returns an empty page -- an account with fewer public posts than your limit returns everything it has, not padded to your number.

**Does `attitudes_count` mean likes?**
Yes -- Weibo's own field name for a like count is `attitudes_count`, kept as-is rather than renamed, since that's the real field the source returns.

### Related Actors

| Actor | Purpose |
|---|---|
| [Weibo Profile Scraper](https://apify.com/toolzerhub/weibo-profile-scraper) | This account's own profile details |
| [Weibo Post Scraper](https://apify.com/toolzerhub/weibo-post-scraper) | Full detail for one specific post found here |
| [Weibo Comments Scraper](https://apify.com/toolzerhub/weibo-comments-scraper) | Comments on any post found here |

# Actor input Schema

## `profile` (type: `string`):

A Weibo numeric user ID, or a profile URL (https://weibo.com/u/<id>).

## `page` (type: `integer`):

Page number, starting at 1.

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

Maximum rows to save. Set 0 to keep collecting until the source is exhausted.

## Actor input object example

```json
{
  "profile": "1699432410",
  "page": 1,
  "maxItems": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

Every record collected during this run

# 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 = {
    "profile": "1699432410",
    "page": 1,
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("toolzerhub/weibo-profile-posts-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 = {
    "profile": "1699432410",
    "page": 1,
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("toolzerhub/weibo-profile-posts-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 '{
  "profile": "1699432410",
  "page": 1,
  "maxItems": 20
}' |
apify call toolzerhub/weibo-profile-posts-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/6Y5M3fP2saPmnlwBc/builds/KswxQpKghazwYmXao/openapi.json