# Reddit Subreddit Analyzer (`supermiojo/reddit-subreddit-analyzer`) Actor

Analyze any subreddit. Top posts, scores, comments, and community insights using Reddit's public API. Filter by time period, no authentication needed.

- **URL**: https://apify.com/supermiojo/reddit-subreddit-analyzer.md
- **Developed by:** [Igor Araujo](https://apify.com/supermiojo) (community)
- **Categories:** Social media, News, Developer tools
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Reddit Subreddit Analyzer

An Apify Actor that scrapes top posts from any subreddit using Reddit's public JSON API. No authentication required.

### How It Works

This actor appends `.json` to Reddit URLs to access their JSON API (completely free, no auth needed). It fetches posts sorted by hot, new, top, rising, or controversial.

### Input

| Field | Type | Description | Default | Required |
|-------|------|-------------|---------|----------|
| `subreddit` | string | Subreddit name without 'r/' (e.g., 'python', 'MachineLearning') | `python` | Yes |
| `sortBy` | string | Sort order: hot, new, top, rising, controversial | `hot` | No |
| `maxPosts` | integer | Max number of posts (1-100) | `25` | No |

### Sample Input

```json
{
  "subreddit": "python",
  "sortBy": "hot",
  "maxPosts": 25
}
```

### Sample Output

Each item in the dataset:

```json
{
  "title": "Python 3.13 released with new features",
  "author": "python_dev",
  "upvotes": 1523,
  "score": 1523,
  "num_comments": 234,
  "post_url": "https://www.reddit.com/r/Python/comments/...",
  "external_url": "https://python.org",
  "created_utc": 1719876543,
  "is_self": false,
  "selftext": "",
  "subreddit": "Python",
  "flair": "News"
}
```

### Pricing

Pay-per-event at $0.002 per result item.

# Actor input Schema

## `subreddit` (type: `string`):

Name of the subreddit to analyze (e.g., 'python', 'MachineLearning'). Do not include 'r/'.

## `sortBy` (type: `string`):

How to sort posts: hot, new, top, rising, or controversial.

## `maxPosts` (type: `integer`):

Maximum number of posts to fetch (max 100).

## Actor input object example

```json
{
  "subreddit": "python",
  "sortBy": "hot",
  "maxPosts": 25
}
```

# 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 = {
    "subreddit": "python"
};

// Run the Actor and wait for it to finish
const run = await client.actor("supermiojo/reddit-subreddit-analyzer").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 = { "subreddit": "python" }

# Run the Actor and wait for it to finish
run = client.actor("supermiojo/reddit-subreddit-analyzer").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 '{
  "subreddit": "python"
}' |
apify call supermiojo/reddit-subreddit-analyzer --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ZSiPw9oMgJOFU6Dyh/builds/5zMpH5I7UeSZZOTU4/openapi.json