# Reddit Scraper — Posts & Comments by Subreddit or Search (`hichemdev/reddit-scraper`) Actor

Scrape Reddit posts and comments from any subreddit or search query: title, author, score, upvote ratio, text, and metadata. No login or API key.

- **URL**: https://apify.com/hichemdev/reddit-scraper.md
- **Developed by:** [Hichem Ben Moussa](https://apify.com/hichemdev) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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 Scraper — Posts & Comments by Subreddit or Search

**Scrape Reddit posts and comments from any subreddit or search query — title, author, score, upvote ratio, text, and metadata — as clean structured data. No login, no API key.**

Export to CSV, Excel, JSON, or Google Sheets, or pull via the Apify API.

***

### ✨ What you get

**Per post**

| Field | Example |
|---|---|
| title / author | "Show HN: …" · u/example |
| subreddit | technology |
| score / upvoteRatio | 4210 · 0.96 |
| numComments | 318 |
| text | self-post body |
| url / linkUrl | Reddit permalink + linked URL |
| flair, createdAt, over18 | metadata |

**Optional per-post comments:** author, body, score, createdAt.

***

### 🎯 Who it's for

- **Market & product research** — mine subreddits for pain points, feature requests, and sentiment.
- **Brand monitoring** — track mentions of your product or competitors.
- **Trend spotting** — pull top/rising posts in any niche.
- **AI / datasets** — collect text for training, RAG, or analysis.
- **Lead generation** — find people asking for the solution you sell.

***

### 🚀 How to use it

1. Add **subreddits** (e.g. `technology`, `r/AskReddit`) **and/or** **search queries**.
2. Choose a **sort** (`hot`, `new`, `top`, `rising`, `controversial`) and, for `top`, a **time range**.
3. Set **max posts**, and optionally enable **comments**.
4. Click **Start** and export.

***

### 📥 Example input

```json
{
  "subreddits": ["technology", "r/programming"],
  "sort": "top",
  "time": "week",
  "maxItems": 100,
  "includeComments": false
}
```

Search across Reddit:

```json
{
  "searchQueries": ["best crm for small business"],
  "sort": "top",
  "time": "year",
  "maxItems": 50
}
```

***

### 📤 Example output

```json
{
  "type": "post",
  "id": "1abcd23",
  "subreddit": "technology",
  "title": "A new open-source tool just dropped",
  "author": "example_user",
  "score": 4210,
  "upvoteRatio": 0.96,
  "numComments": 318,
  "createdAt": "2026-07-15T14:22:10.000Z",
  "text": "Here's what it does...",
  "url": "https://www.reddit.com/r/technology/comments/1abcd23/...",
  "flair": "Software"
}
```

***

### ❓ FAQ

**Do I need a Reddit account or API key?**
No. It reads Reddit's public JSON — just give it subreddits or search terms.

**Can I get comments too?**
Yes — enable **Include comments** and set how many per post. It's slower, so leave it off for large post-only pulls.

**How many posts can I get?**
Reddit paginates listings; the Actor follows pages up to your **Max posts** limit per subreddit / query.

**Is scraping Reddit legal?**
It collects publicly available content. You're responsible for complying with Reddit's terms and applicable laws, and for how you use the data.

***

### 🗺️ Roadmap

- Full comment trees with reply depth
- User (redditor) profile scraping
- Media/gallery URL extraction
- Keyword filters and date ranges

***

*Built and maintained by [hichemdev](https://apify.com/hichemdev). Found a bug or want a feature? Open an issue on the Actor's **Issues** tab.*

# Actor input Schema

## `subreddits` (type: `array`):

Subreddit names or URLs, e.g. "technology", "r/AskReddit", or a full subreddit URL.

## `searchQueries` (type: `array`):

Optional. Reddit-wide search terms, e.g. "chatgpt". Each returns matching posts.

## `sort` (type: `string`):

How to order posts.

## `time` (type: `string`):

Time window used when sorting by top or controversial.

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

Maximum number of posts to scrape per subreddit / search query.

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

Also scrape the top comments of each post (slower).

## `maxCommentsPerPost` (type: `integer`):

How many comments to scrape per post when comments are enabled.

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

Reddit blocks datacenter traffic, so a residential proxy is used to render pages reliably. Included in your Apify plan.

## Actor input object example

```json
{
  "subreddits": [
    "technology"
  ],
  "searchQueries": [],
  "sort": "hot",
  "time": "week",
  "maxItems": 10,
  "includeComments": false,
  "maxCommentsPerPost": 20,
  "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 = {
    "subreddits": [
        "technology"
    ],
    "searchQueries": [],
    "sort": "hot",
    "time": "week",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("hichemdev/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 = {
    "subreddits": ["technology"],
    "searchQueries": [],
    "sort": "hot",
    "time": "week",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("hichemdev/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 '{
  "subreddits": [
    "technology"
  ],
  "searchQueries": [],
  "sort": "hot",
  "time": "week",
  "maxItems": 10
}' |
apify call hichemdev/reddit-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/r4rBFDJuK2koA4aim/builds/QWh7Cye6CIPiaXrEo/openapi.json