# Weibo Post Engagement Scraper (`toolzerhub/weibo-post-engagement-scraper`) Actor

Collect the public liker list for a Weibo post, or its public repost list, in one combined Weibo scraper: category, type, the full liker or repost data payload, and the source post ID on every row for reliable joins. Run via API, export the dataset, or schedule repeated Weibo engagement checks.

- **URL**: https://apify.com/toolzerhub/weibo-post-engagement-scraper.md
- **Developed by:** [ToolzerHub](https://apify.com/toolzerhub) (community)
- **Categories:** Social media, Automation, For creators
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 Post Engagement Scraper

Fetch the public liker list for a Weibo post, or its public repost list. `scraperType` picks the mode.

### Input

| Field | Use it for |
|---|---|
| **`scraperType`** | `postLikes` or `postReposts`. Required. |
| **`post`** | The post's numeric ID, or a post URL (`https://m.weibo.cn/detail/<id>`). Required. |
| **`max_id`** | Continuation token, `postReposts` only. |
| **`maxItems`** | Maximum rows to save, `postReposts` only. Default `100`. |

```json
{
  "scraperType": "postLikes",
  "post": "5327962377289859"
}
```

No login, cookie, or session token needed.

### Output

One row per liker or repost.

| Field | Contents |
|---|---|
| **`category`** | Row category Weibo reports (e.g. `like_attitude`, `like`, `forward`, `trend`) |
| **`type`** | Row type |
| **`data`** | The real payload -- shape depends on `type`. A `like_attitude` row is a per-reaction-type count summary; a `like` row carries the liker's `user` and `attitude`; a `forward` row is a full repost post object with its own author |
| **`source_id`** | The post ID this run collected |

```json
{
  "category": "like_attitude",
  "type": "like_attitude",
  "data": { "attitudes_count": [{ "type": 0, "count": 28 }, { "type": 1, "count": 24 }] }
}
```

### Questions

**Why is the first `postLikes` row different from the rest?**
It's a summary row (`like_attitude`), one per run, breaking down like counts by reaction type. Every row after it is an individual `like` row with a real liker attached -- filter on `type` to separate the two.

**Why does a repost's `data.text` say "转发微博" ("reposted Weibo")?**
That's Weibo's own default caption when the person reposting didn't add a comment -- it's not a placeholder this Actor inserts.

### Related Actors

| Actor | Purpose |
|---|---|
| [Weibo Post Scraper](https://apify.com/toolzerhub/weibo-post-scraper) | The post these likes/reposts belong to |
| [Weibo Comments Scraper](https://apify.com/toolzerhub/weibo-comments-scraper) | Comments on the same post |

### Support

Questions, bugs, or feature requests: **contact@toolzerhub.com**

Browse the rest: [apify.com/toolzerhub](https://apify.com/toolzerhub)

# Actor input Schema

## `scraperType` (type: `string`):

Choose the dataset for this run.

## `post` (type: `string`):

A Weibo numeric post ID, or a post URL (https://m.weibo.cn/detail/<id>).

## `continueFrom` (type: `string`):

Continuation token from an earlier run's response, to resume a paginated list. Leave blank to start from the first page.

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

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

## Actor input object example

```json
{
  "scraperType": "postLikes",
  "post": "5327962377289859",
  "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 = {
    "post": "5327962377289859",
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("toolzerhub/weibo-post-engagement-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 = {
    "post": "5327962377289859",
    "maxItems": 20,
}

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

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

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

```

## CLI example

```bash
echo '{
  "post": "5327962377289859",
  "maxItems": 20
}' |
apify call toolzerhub/weibo-post-engagement-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,toolzerhub/weibo-post-engagement-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/nWsyJNaVICst5rbi1/builds/Zz9KTj6hBduWtVe5b/openapi.json