# 🔥 Internet Drama Digest - Top Controversial Threads (`unrivaled_fortress/internet-drama-digest`) Actor

🔥 Daily digest of the most controversial, debated, and heated discussions on Hacker News + trending GitHub repos. No input needed - click run, get today's hot topics in 5 seconds. Perfect for morning coffee reads.

- **URL**: https://apify.com/unrivaled\_fortress/internet-drama-digest.md
- **Developed by:** [David An](https://apify.com/unrivaled_fortress) (community)
- **Categories:** News, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% 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

## 🔥 Internet Drama Digest

**Everyday internet drama in one click. No input needed.**

Get the most controversial, debated, and heated discussions from Hacker News and trending GitHub repositories. Perfect for your morning coffee or when you need a quick dose of internet chaos.

### 🎯 What You Get

- **Top 15 hottest discussions** ranked by controversy score
- **Hacker News**: Most debated tech stories with high comment-to-score ratios
- **GitHub Trending**: Repositories gaining massive traction today
- **Controversy Score**: Custom algorithm that measures debate intensity
- **Zero configuration**: Just click run, get instant results

### 💡 Use Cases

- ☕ **Morning routine**: Check what the internet is fighting about today
- 📰 **News junkies**: Stay on top of trending tech discussions
- 🔍 **Researchers**: Track viral topics and community sentiment
- 💼 **Recruiters**: See what projects are gaining traction
- 📊 **Analysts**: Monitor internet discourse patterns

### 📊 Output Fields

Each item includes:

- `source`: Platform (Hacker News or GitHub Trending)
- `title`: Discussion or repository name
- `score`: Upvotes or stars
- `comments`: Number of comments or open issues
- `controversyScore`: Debate intensity (0-100)
- `url`: Direct link to the content
- `timestamp`: When it was posted

### 🚀 How It Works

1. Fetches top stories from Hacker News
2. Calculates controversy score based on comment-to-score ratio
3. Adds trending GitHub repositories from the past 24 hours
4. Ranks everything by controversy and returns top 15

### 💰 Pricing

Pay per result. $1.50 per 1,000 items.

### ⚙️ Technical

- **Runtime**: Node.js
- **Dependencies**: None (uses built-in `https` module)
- **Execution time**: ~5 seconds
- **No API keys required**

### 📈 Perfect For

- Daily habit tracking
- Quick internet pulse checks
- Social media content ideas
- Trend research
- Community sentiment analysis

***

**Try it now. No input needed. Just click run.**

# Actor input Schema

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

Subreddit to scan. Default: all

## `timeRange` (type: `string`):

Time range for top posts.

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

Number of top drama threads to return.

## Actor input object example

```json
{
  "subreddit": "all",
  "timeRange": "day",
  "limit": 15
}
```

# 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("unrivaled_fortress/internet-drama-digest").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("unrivaled_fortress/internet-drama-digest").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 unrivaled_fortress/internet-drama-digest --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,unrivaled_fortress/internet-drama-digest"
        }
    }
}

```

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/NXdtj6U4kh4AVNlwd/builds/H9oRgXubW947jZtGH/openapi.json