# Reddit AI Radar (`badruddeen/reddit-ai-radar`) Actor

Reddit AI Radar is a real-time intelligence actor that scans selected Reddit communities, analyzes posts with AI, and ranks emerging trends. It generates insights, summaries, and a live dashboard to help you track what’s gaining attention across tech and AI discussions.

- **URL**: https://apify.com/badruddeen/reddit-ai-radar.md
- **Developed by:** [Badruddeen Naseem](https://apify.com/badruddeen) (community)
- **Categories:** AI, Social media, News
- **Stats:** 2 total users, 0 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. 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 AI Radar

Real-time AI-powered Reddit intelligence engine that scans communities, analyzes posts with AI, and surfaces emerging trends with insights and a live dashboard.

#### ⚡ What it does

Reddit AI Radar continuously monitors selected subreddits, applies AI analysis to each post, and generates:

🔥 Trend scoring
🧠 AI-generated summaries
💡 Insight explanations
📊 Ranked intelligence feed
🌐 Live HTML dashboard

#### ✨ Features

📡 Scrape multiple subreddits in real time
🤖 AI-powered post analysis (OpenRouter supported)
📊 Trend scoring + ranking system
🧠 Auto-generated summaries & insights
🌐 Live HTML dashboard output
🔗 Shareable run dashboard links
⚡ Fast RSS-based ingestion (no login needed)

#### 📥 Input

| Field      | Type    | Default           | Description              |
| ---------- | ------- | ----------------- | ------------------------ |
| `sources`  | array   | `["programming"]` | Subreddits to monitor    |
| `maxPosts` | integer | 50                | Maximum posts to process |
| `enableAI` | boolean | true              | Enable AI analysis       |

#### 📤 Output

The Actor produces:

📊 Dataset records

Each post includes:

title
URL
score
AI category
AI score
summary
insight
timestamp

#### 🌐 HTML Dashboard

A live dashboard is generated showing:

Top trending posts
AI rankings
Insights per post
Shareable public view

#### 🚀 Example Input

```json
{
  "sources": ["machinelearning", "artificialintelligence", "programming"],
  "maxPosts": 50,
  "enableAI": true
}
```

#### 💡 Use Cases

📈 AI & tech trend tracking
🧠 Startup / product idea discovery
🔍 Market & competitor intelligence
📰 Content research for creators
📊 Social signal monitoring
🎯 Research & data analysis

#### ⚙️ Proxy Recommendation

For stable execution at scale, enable Apify Residential proxies / Set United States.

#### 🧠 Notes

This actor is optimized for signal extraction, not raw scraping — it focuses on what matters, not just collecting data.

#### 🚀 Support

Found an issue or want features?

Open a ticket on this Actor or improve it via contributions.
Happy scraping! 🚀

# Actor input Schema

## `sources` (type: `array`):

Subreddits (e.g. technology), search queries (e.g. best espresso machine), or direct Reddit post URLs

## `maxPosts` (type: `integer`):

Maximum number of posts to scrape

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

Number of top comments to fetch per post (0 = disable comments)

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

How to sort the posts

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

Time range for posts

## `analyze` (type: `boolean`):

Enable sentiment analysis and keyword extraction

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

Recommended: Use Residential proxies for Reddit (blocks datacenter IPs)

## Actor input object example

```json
{
  "sources": [
    "programming"
  ],
  "maxPosts": 50,
  "maxCommentsPerPost": 30,
  "sort": "hot",
  "time": "week",
  "analyze": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "proxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `htmlReport` (type: `string`):

Interactive AI intelligence dashboard (live HTML view)

## `datasetUrl` (type: `string`):

All processed Reddit + AI enriched posts

## `datasetItemsUrl` (type: `string`):

No description

## `datasetOverview` (type: `string`):

No description

## `status` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("badruddeen/reddit-ai-radar").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("badruddeen/reddit-ai-radar").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 badruddeen/reddit-ai-radar --silent --output-dataset

```

## MCP server setup

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

```

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/3n5EJbDNa8ivzLKNc/builds/GzKKCKZ5FQqOJEJVu/openapi.json