# Reddit Subreddit Scraper (`codingfrontend/reddit-subreddit-scraper`) Actor

Scrape the newest, hottest, top, or rising posts from any Reddit subreddit with full metadata, images, videos, awards, and optional comments.

- **URL**: https://apify.com/codingfrontend/reddit-subreddit-scraper.md
- **Developed by:** [Coding Frontned](https://apify.com/codingfrontend) (community)
- **Categories:** Social media, Developer tools, Other
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 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 Scraper

Scrape the newest, hottest, top, or rising posts from any Reddit subreddit with full metadata, images, videos, awards, and optional comments

### Features

- **Configurable result limit** — set exactly how many items to collect per run
- **Cloud-ready** — runs on Apify with scheduling, proxy rotation, and webhook support

### Use Cases

- Influencer discovery and social media performance analytics
- Content trend monitoring and viral post identification
- Brand mention tracking and social listening
- Competitor content strategy benchmarking

### Input

| Field | Type | Default | Required | Description |
|-------|------|---------|----------|-------------|
| `subreddit` | string | `—` | ✓ | Name of the subreddit to scrape (without r/). Example: javascript, worldnews, AskReddit |
| `sortBy` | string | `new` |  | How to sort the posts. Options: `new`, `hot`, `top`, `rising`, `controversial` |
| `topTime` | string | `week` |  | Time period when sortBy is 'top' or 'controversial'. Options: `hour`, `day`, `week`, `month`, `year`, `all` |
| `maxItems` | integer | `50` |  | Maximum number of posts to scrape |
| `deepScraping` | boolean | `True` |  | Open each post in a parallel browser tab to extract full details: complete selfText, images, videos, gallery, awards, metadata. Recommended for rich datasets. |
| `includeComments` | boolean | `False` |  | Fetch top 20 comments with nested replies for each post (requires deepScraping=true) |
| `headless` | boolean | `True` |  | Run browser in headless mode (recommended for production) |
| `proxyConfiguration` | object | Apify Residential |  | Proxy settings. Residential proxy is strongly recommended |

### Output

Each scraped item includes:

| Field | Description |
|-------|-------------|
| `comments` | Number of comments on the post |
| `id` | Unique identifier for the item |
| `title` | Full product or listing title |
| `url` | Direct URL to the listing/item page |
| `permalink` | Permalink |
| `mp4` | Mp4 |
| `width` | Width |
| `height` | Height |
| `caption` | Caption |
| `body` | Body |
| `createdAt` | Creation timestamp (ISO 8601) |
| `flair` | Flair |
| `distinguished` | Distinguished |
| `stickied` | Stickied |
| `edited` | Edited |
| `replies` | Replies |

#### Sample Output

```json
{
  "comments": "comments_value",
  "id": "id_value",
  "title": "Example Product or Listing Title",
  "url": "https://example.com/item/123",
  "permalink": "permalink_value",
  "mp4": "mp4_value",
  "width": "width_value",
  "height": "height_value"
}
```

### Notes

- **Proxy**: Residential proxy is highly recommended — set `proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] }`
- **Rate limits**: Keep `maxItems` reasonable per run to avoid IP bans or rate throttling
- **Scheduling**: Use Apify Scheduler to run this actor on a recurring basis for a consistently fresh dataset

# Actor input Schema

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

Name of the subreddit to scrape (without r/). Example: javascript, worldnews, AskReddit

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

How to sort the posts

## `topTime` (type: `string`):

Time period when sortBy is 'top' or 'controversial'

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

Maximum number of posts to scrape

## `deepScraping` (type: `boolean`):

Open each post in a parallel browser tab to extract full details: complete selfText, images, videos, gallery, awards, metadata. Recommended for rich datasets.

## `includeComments` (type: `boolean`):

Fetch top 20 comments with nested replies for each post (requires deepScraping=true)

## `headless` (type: `boolean`):

Run browser in headless mode (recommended for production)

## `proxyConfiguration` (type: `object`):

Proxy settings. Apify Residential proxy recommended to avoid Reddit rate limits.

## Actor input object example

```json
{
  "subreddit": "javascript",
  "sortBy": "new",
  "topTime": "week",
  "maxItems": 50,
  "deepScraping": true,
  "includeComments": false,
  "headless": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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": "javascript",
    "maxItems": 50,
    "deepScraping": true,
    "includeComments": false,
    "headless": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("codingfrontend/reddit-subreddit-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 = {
    "subreddit": "javascript",
    "maxItems": 50,
    "deepScraping": True,
    "includeComments": False,
    "headless": True,
}

# Run the Actor and wait for it to finish
run = client.actor("codingfrontend/reddit-subreddit-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 '{
  "subreddit": "javascript",
  "maxItems": 50,
  "deepScraping": true,
  "includeComments": false,
  "headless": true
}' |
apify call codingfrontend/reddit-subreddit-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/4e3FIaLTXZaMFyOLe/builds/oGTzvma8pQLsuQXS0/openapi.json