# Reddit Ultimate Scraper (`signalqub/reddit-ultimate-scraper`) Actor

Fast, 5-in-1 Reddit scraper. Extract nested comments, subreddit timelines, metadata, and track global keyword mentions. Export to JSON/CSV without Reddit API keys or proxies.

- **URL**: https://apify.com/signalqub/reddit-ultimate-scraper.md
- **Developed by:** [OluwaNifemi Jacob](https://apify.com/signalqub) (community)
- **Categories:** Social media
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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/actors/running/actors-in-store.md#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 Comments, Posts & Keyword Mention Scraper

A robust, multi-tool extractor designed for deep Reddit community research, brand monitoring, and sentiment analysis.

Rather than running multiple different scripts, this tool provides **5 distinct extraction modes** in a single interface.

#### 🎯 Supported Extraction Modes (Long-Tail Features)

**1. Scrape Reddit Post Comments (Deep Threads)**
Extract highly nested comment trees from any viral Reddit post. Perfect for scraping Reddit comments to CSV for sentiment analysis, finding product feedback, or reading AMA (Ask Me Anything) responses without the Reddit API rate limits.

**2. Scrape Subreddit Posts (Timeline Extractor)**
Download the newest, hottest, or top posts from any specific subreddit. Use this to export Reddit posts to JSON, track community engagement, or archive a subreddit's history over a specific timeframe.

**3. Monitor Brand Mentions (Global Reddit Search)**
Track keyword mentions across the entirety of Reddit. Enter your company name, a competitor, or a crypto ticker to instantly find everywhere it is being discussed on the platform.

**4. Subreddit Keyword Search**
Search for specific topics isolated within a single community. E.g., Search "react 19" only inside `r/webdev` to extract highly contextual technical discussions.

**5. Extract Subreddit Metadata & Details**
Get the exact subscriber count, active user metrics, public descriptions, and community rules for deep market research.

***

#### 🚀 Built on SignalQub Infrastructure

This actor is a lightweight interface powered by the **[SignalQub REST API](https://signalqub.com/endpoints/reddit)**.

Because it runs on our enterprise endpoints, it automatically bypasses Reddit's anti-bot protections and IP blocks. You do not need a Reddit developer account or an OAuth token to run this.

#### Need this data directly in your own app?

If you are a developer, you can bypass the Apify store entirely and hit our endpoints directly from your Node.js or Python backend. You only pay for successful JSON responses.

📚 **[Read the API Documentation](https://signalqub.com/docs)**
🔑 **[Get 100 Free API Credits](https://signalqub.com)**

# Actor input Schema

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

Select the specific Reddit data you want to extract.

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

Enter the subreddit (e.g. 'reactjs'). Leave blank for Global Search or Post Comments.

## `query` (type: `string`):

Required for Subreddit Search and Global Search.

## `postUrl` (type: `string`):

Required ONLY for Post Comments mode.

## `limit` (type: `integer`):

How many results to fetch.

## Actor input object example

```json
{
  "mode": "subreddit_posts",
  "limit": 100
}
```

# 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("signalqub/reddit-ultimate-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("signalqub/reddit-ultimate-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 signalqub/reddit-ultimate-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,signalqub/reddit-ultimate-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/vxdh2TCEAqc5tmweF/builds/gptgOepinOpd8vG7O/openapi.json