# sspai Scraper — Tech Articles & Stats (少数派) (`hipersoft/sspai-scraper`) Actor

Scrape sspai (少数派) tech & digital-lifestyle articles: title, summary, author, likes, comments, tags, type and banner.

- **URL**: https://apify.com/hipersoft/sspai-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Categories:** Developer tools, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.001 / article scraped

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/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

## sspai Scraper — Articles, Authors, Tags & Engagement Stats (少数派)

**Scrape sspai** (少数派), a leading Chinese tech and digital-lifestyle content community, into clean JSON, CSV, Excel or XML. This sspai scraper extracts **article titles, summaries, authors, tags, post types, banners, publish dates, likes and comments** from the main article feed — structured data points ready for research, dashboards and LLM pipelines. Fast and reliable, with no code and no setup required.

Most people copy sspai articles by hand, one post at a time. This Actor turns the whole feed into a downloadable dataset in a single run — a cheap, no-code way to collect Chinese tech-content data at scale.

![sspai Scraper input — options in the Apify Console](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/sspai-scraper-input.png)

### What does the sspai Scraper do?

The sspai Scraper crawls and extracts public sspai (少数派) article data from the community's main feed. It returns structured data points for every article — title, summary, author and author slug, post type, tags, banner image, release date, plus engagement metrics like likes (点赞) and comments — exported as clean JSON, CSV, Excel or XML for analytics, datasets, content intelligence or trend research.

### What data can you scrape from sspai?

| Group | Fields |
|---|---|
| 📝 **Article** | id, title, summary, post type, banner image, release date, canonical URL |
| ✍️ **Author** | author name, author slug (profile handle) |
| 📊 **Engagement** | likes (点赞), comments count |
| 🏷️ **Tags & access** | article tags, free vs paid flag |
| 🕒 **Collection** | timestamp of when each item was collected |

### Use cases

- **China tech-trend research** — track what topics, apps and gadgets the sspai community is publishing over time.
- **Content intelligence** — build a dataset of digital-lifestyle articles for editorial planning and gap analysis.
- **Creator & author analytics** — measure which authors and post types earn the most likes and comments.
- **Topic & keyword discovery** — mine tags and titles to find rising themes in the Chinese tech space.
- **Recommendation & LLM pipelines** — feed clean article metadata into RAG knowledge bases and models.
- **Competitive monitoring** — watch new releases and engagement to benchmark your own content.
- **Market & academic research** — study engagement patterns and topics from public data at scale.
- **Build a content dataset** — titles, authors, tags and stats for thousands of articles in JSON or CSV.

### How to scrape sspai data

1. Click **Try for free / Start** to open the sspai Scraper.
2. Set **`maxItems`** — how many articles you want from the feed.
3. Review the input options in the Apify Console.
4. Click **Run**.
5. Download the results as **JSON, CSV, Excel or XML**, or pull them from the API.

### Input

The sspai Scraper needs no login and no code — just set how many articles to collect and run.

```json
{
  "maxItems": 200
}
```

| Field | Type | Description |
|---|---|---|
| `maxItems` | integer | Maximum number of articles to scrape from the sspai feed (default 100). |

### Output

![sspai Scraper output — an articles dataset with author, tags and engagement fields](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/sspai-scraper-output.png)

Each article is one dataset item:

```json
{
  "id": 112405,
  "title": "App+1 | 免费、多功能的远程控制新选择：网易 UU 远程",
  "summary": "从远程桌面到终端、端口映射和云电脑……",
  "author": "化学心情下2",
  "authorSlug": "liuxiaofengone",
  "postType": "article",
  "likes": 6,
  "comments": 4,
  "isFree": true,
  "tags": [],
  "bannerImage": "https://cdn.sspai.com/2026/07/16/....jpg",
  "releasedAt": "2026-07-30T09:30:00.000Z",
  "url": "https://sspai.com/post/112405",
  "collectedAt": "2026-07-30T12:00:00.000Z"
}
```

#### Output schema

| Field | Type | Description |
|-------|------|-------------|
| `id` | integer | Unique sspai article ID. |
| `title` | string | Article title. |
| `summary` | string | Short article summary or excerpt. |
| `author` | string | Display name of the author. |
| `authorSlug` | string | Author profile handle used in the profile URL. |
| `postType` | string | Type of post, e.g. `article`. |
| `likes` | integer | Number of likes (点赞) on the article. |
| `comments` | integer | Number of comments on the article. |
| `isFree` | boolean | Whether the article is free to read. |
| `tags` | array | Tags attached to the article, where available. |
| `bannerImage` | string (URL) | URL of the article's banner image. |
| `releasedAt` | string (ISO date) | When the article was published. |
| `url` | string (URL) | Canonical URL of the article on sspai. |
| `collectedAt` | string (ISO date) | When this item was collected. |

### Need more Chinese tech and community data?

Pair the sspai Scraper with our other scrapers to build a wider Chinese tech-content dataset:

- [Juejin Scraper](https://apify.com/hipersoft/juejin-scraper) — developer articles, authors and engagement from 掘金.
- [Guokr Scraper](https://apify.com/hipersoft/guokr-scraper) — science and knowledge articles from 果壳.
- [IThome Scraper](https://apify.com/hipersoft/ithome-scraper) — tech news headlines and articles from IT之家.
- [Bilibili Scraper](https://apify.com/hipersoft/bilibili-scraper) — videos, creators and stats from 哔哩哔哩.

### FAQ

**Do I need an account or login to scrape sspai?**
No. There's no setup and no login — just set `maxItems` and run. It's a no-code way to collect sspai article data.

**How many articles can I scrape per run?**
As many as you like. Set `maxItems` to control how many articles are pulled from the feed, up to large batches.

**What data does the sspai Scraper return?**
Title, summary, author and author slug, post type, tags, banner image, release date, likes and comments, plus the article URL and collection timestamp.

**What export formats are supported?**
JSON, CSV, Excel and XML, plus webhooks and the Apify API.

**How much does it cost?**
You pay only per item you get, which makes it one of the cheapest ways to collect sspai data at scale.

**Can I automate or integrate the sspai Scraper?**
Yes. The sspai Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JavaScript/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes — get a notification, or kick off another process such as loading your data downstream.

**Is scraping sspai legal?**
The Actor collects only public data. You are responsible for how you use it and for complying with sspai's terms and applicable laws.

**How fresh is the data?**
Each run reads the current feed, so results reflect the articles published at the time you run it.

### Related Actors

- [Juejin Scraper](https://apify.com/hipersoft/juejin-scraper) — developer articles and engagement from 掘金.
- [Guokr Scraper](https://apify.com/hipersoft/guokr-scraper) — science and knowledge articles from 果壳.
- [IThome Scraper](https://apify.com/hipersoft/ithome-scraper) — tech news from IT之家.
- [Bilibili Scraper](https://apify.com/hipersoft/bilibili-scraper) — videos and creator stats from 哔哩哔哩.

### Notes

Original clean-room implementation. Collects only public sspai data; you are responsible for how you use the data and for complying with sspai's terms. This is an independent tool and is not affiliated with or endorsed by sspai (少数派).

# Actor input Schema

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

Maximum articles to scrape from the sspai feed.

## Actor input object example

```json
{
  "maxItems": 100
}
```

# Actor output Schema

## `results` (type: `string`):

The scraped results as dataset items.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/sspai-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/sspai-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 '{}' |
apify call hipersoft/sspai-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/sspai-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/tcjSScNm9iHy7468E/builds/X6akKRNlp3Spyqe8l/openapi.json