# Reddit Scraper – Subreddit Posts & Comments (`shuicici/reddit-scraper`) Actor

Extract posts, comments, upvotes from any public subreddit. Filter by time, sort order, and keywords. Perfect for market research, sentiment tracking, and AI training data. JSON/CSV output.

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

## Pricing

from $0.02 / 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.

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 Scraper – Subreddit Posts & Comments

Scrape posts and comments from any public Reddit subreddit. Get clean, structured JSON data ready for analysis, sentiment tracking, or market research.

### What it extracts

- Post titles, authors, and publish timestamps
- Upvotes and comment counts
- Post URLs and permalinks
- Subreddit metadata

### Use cases

- **Market research** — Monitor discussions about competitors, products, or trends
- **Sentiment analysis** — Track audience opinions on any topic
- **Content inspiration** — Discover trending posts and viral content
- **Lead generation** — Find active communities relevant to your niche
- **AI/LLM training data** — Collect authentic human conversations

### How it works

1. Enter a subreddit name (e.g., `machinelearning`, `smallbusiness`)
2. The scraper loads the subreddit page via Playwright
3. Posts are extracted and stored in your dataset as JSON
4. Download results in JSON, CSV, or HTML format

### Example output

```json
{
  "subreddit": "machinelearning",
  "count": 25,
  "posts": [
    {
      "title": "GPT-5 announced by OpenAI",
      "author": "tech_enthusiast",
      "upvotes": "15420",
      "comments": "3241",
      "url": "https://reddit.com/r/MachineLearning/..."
    }
  ]
}
```

### Notes

- Only extracts publicly visible posts (no login required)
- Results depend on Reddit's page structure — sorting and pagination work automatically
- For large volumes, consider running during off-peak hours

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| subreddit | string | Yes | Subreddit name (without r/) |
| limit | number | No | Max posts to extract (default: 25) |

# Actor input Schema

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

subreddit

## Actor input object example

```json
{}
```

# Actor output Schema

## `posts` (type: `string`):

Link to the dataset containing scraped Reddit posts

# 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("shuicici/reddit-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("shuicici/reddit-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 '{}' |
apify call shuicici/reddit-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/jADeefFAHDcYKJZQ4/builds/fGCKRiBGqCmJL2cQu/openapi.json