# Reddit Scraper (`keratogenous_surgeon/reddit-scraper`) Actor

Powerful Reddit scraper to extract posts, comments, and user data. Supports subreddit crawling, keyword search, user profiles, date filtering, score thresholds, and nested comment threads. Export to JSON, CSV, or webhook. Perfect for market research, sentiment analysis, and content monitoring.

- **URL**: https://apify.com/keratogenous\_surgeon/reddit-scraper.md
- **Developed by:** [King Shepherd](https://apify.com/keratogenous_surgeon) (community)
- **Categories:** Developer tools, Automation, Lead generation
- **Stats:** 42 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 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

# Actor input Schema

## `mode` (type: `string`):

Choose what to scrape: subreddits, search results, or user profiles.

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

List of subreddit names to scrape (without r/ prefix). Only used in 'subreddits' mode.

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

Search terms to find posts across Reddit. Only used in 'search' mode.

## `searchInSubreddit` (type: `string`):

Limit search to a specific subreddit (optional). Leave empty to search all of Reddit.

## `usernames` (type: `array`):

Reddit usernames to scrape posts/comments from. Only used in 'user' mode.

## `userContentType` (type: `string`):

What to scrape from user profiles.

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

How to sort the posts.

## `timeFilter` (type: `string`):

Time range for top/search posts.

## `maxPostsPerSource` (type: `integer`):

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

## `minScore` (type: `integer`):

Only include posts with at least this many upvotes (0 = no filter).

## `minComments` (type: `integer`):

Only include posts with at least this many comments (0 = no filter).

## `includeKeywords` (type: `array`):

Only include posts containing ANY of these keywords in title or body (case-insensitive).

## `excludeKeywords` (type: `array`):

Exclude posts containing ANY of these keywords in title or body (case-insensitive).

## `postType` (type: `string`):

Filter by content type.

## `dateFrom` (type: `string`):

Only include posts created after this date (YYYY-MM-DD format).

## `dateTo` (type: `string`):

Only include posts created before this date (YYYY-MM-DD format).

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

Whether to scrape comments for each post.

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

Maximum number of comments to scrape per post.

## `includeNestedReplies` (type: `boolean`):

Scrape replies to comments (nested threads). Slower but more complete.

## `maxReplyDepth` (type: `integer`):

How deep to go in nested comment threads (1-10).

## `downloadMedia` (type: `boolean`):

Download images and videos from posts to Key-Value Store.

## `mediaTypes` (type: `array`):

Types of media to download.

## `skipDuplicates` (type: `boolean`):

Skip posts that were already scraped in previous runs (uses Key-Value Store to track).

## `webhookUrl` (type: `string`):

Send scraped data to this webhook URL in real-time (optional).

## `webhookBatchSize` (type: `integer`):

Number of posts to batch before sending to webhook.

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of HTTP requests.

## `proxyConfig` (type: `object`):

Proxy settings for the crawler.

## Actor input object example

```json
{
  "mode": "subreddits",
  "subreddits": [
    "programming",
    "javascript"
  ],
  "searchQueries": [
    "web scraping",
    "automation"
  ],
  "usernames": [
    "spez"
  ],
  "userContentType": "submitted",
  "sortBy": "hot",
  "timeFilter": "day",
  "maxPostsPerSource": 100,
  "minScore": 0,
  "minComments": 0,
  "postType": "all",
  "includeComments": false,
  "maxCommentsPerPost": 25,
  "includeNestedReplies": false,
  "maxReplyDepth": 3,
  "downloadMedia": false,
  "mediaTypes": [
    "images"
  ],
  "skipDuplicates": false,
  "webhookBatchSize": 10,
  "maxRequestsPerCrawl": 1000
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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": [
        "programming",
        "javascript"
    ],
    "searchQueries": [
        "web scraping",
        "automation"
    ],
    "usernames": [
        "spez"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("keratogenous_surgeon/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": [
        "programming",
        "javascript",
    ],
    "searchQueries": [
        "web scraping",
        "automation",
    ],
    "usernames": ["spez"],
}

# Run the Actor and wait for it to finish
run = client.actor("keratogenous_surgeon/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": [
    "programming",
    "javascript"
  ],
  "searchQueries": [
    "web scraping",
    "automation"
  ],
  "usernames": [
    "spez"
  ]
}' |
apify call keratogenous_surgeon/reddit-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/T97nx3LUzZXvPhXG6/builds/WpFHNUNxfpxVOzWql/openapi.json