# Weibo Comments Scraper (`toolzerhub/weibo-comments-scraper`) Actor

Collect public comments on a Weibo post, or fetch replies to one specific Weibo comment: comment text, floor number, publish time, like count, total comment count, and the commenter profile on every row. Export results, run via API, or schedule recurring Weibo comment monitoring.

- **URL**: https://apify.com/toolzerhub/weibo-comments-scraper.md
- **Developed by:** [ToolzerHub](https://apify.com/toolzerhub) (community)
- **Categories:** Social media, Automation, For creators
- **Stats:** 2 total users, 1 monthly users, 91.3% 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/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 Comments Scraper

Collect public comments for a Weibo post, or fetch the replies under one specific comment. `scraperType` picks the mode.

### Input

| Field | Use it for |
|---|---|
| **`scraperType`** | `postComments` or `postSubComments`. Required. |
| **`id`** | The post's numeric ID for comments, or the comment's own ID for replies. Required. |
| **`continueFrom`** | Continuation token from an earlier run's response, to resume a paginated list. |
| **`maxItems`** | Maximum rows to save. `0` collects until exhausted. Default `100`. |

```json
{
  "scraperType": "postComments",
  "id": "5327962377289859",
  "maxItems": 50
}
```

No login, cookie, or session token needed.

### Output

One row per comment or reply.

| Field | Contents |
|---|---|
| **`id`** | Comment ID |
| **`content`** | Comment text |
| **`created_at`** | Comment timestamp |
| **`floor_number`** | The comment's position in the thread |
| **`user`** | Commenter's profile, nested |
| **`liked`** | Whether the viewer has liked this comment (always `false` here -- no session) |
| **`like_counts`** | Like count for this comment |
| **`total_number`** | Total comments/replies available on this thread, reported by Weibo |
| **`max_id`** | Continuation token -- feed into `continueFrom` to resume |
| **`source_id`** | The post or comment ID this run collected |

```json
{
  "id": "5327962977337608",
  "floor_number": 8,
  "content": "鱼和豆腐绝配...",
  "like_counts": 1
}
```

### Questions

**Why did `postSubComments` return zero rows?**
Most comments genuinely have no replies -- an empty result is Weibo's real answer for that thread, not a failed request. Check the parent comment's own reply indicator before assuming something broke.

**How do I get a comment ID for `postSubComments`?**
From a `postComments` row's `id` field on a prior run.

### Related Actors

| Actor | Purpose |
|---|---|
| [Weibo Post Scraper](https://apify.com/toolzerhub/weibo-post-scraper) | The post these comments belong to |
| [Weibo Post Engagement Scraper](https://apify.com/toolzerhub/weibo-post-engagement-scraper) | Likers and reposts for 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>).

## `comment` (type: `string`):

A Weibo numeric comment ID, to collect that comment's replies.

## `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": "postComments",
  "post": "5327962377289859",
  "comment": "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",
    "comment": "5327962377289859",
    "maxItems": 20
};

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

# Run the Actor and wait for it to finish
run = client.actor("toolzerhub/weibo-comments-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",
  "comment": "5327962377289859",
  "maxItems": 20
}' |
apify call toolzerhub/weibo-comments-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,toolzerhub/weibo-comments-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/W2DrgcJ20lENLq97T/builds/LuVSKbVd0gu2S1XaI/openapi.json