# Spot news topics before they peak

**Use case:** 

By the time a story is trending everywhere, the window to react - publish the take, brief the exec, adjust the position - is already closing. This example scans Hacker News, Google News, Bloomberg, CNBC, BBC and The Verge and flags the topics accelerating right now, ranked by velocity rather than raw volume. Swap in your own keyword watchlist.

## Input

```json
{
  "keywords_filter": "openai, nvidia, bitcoin",
  "include_hackernews": true,
  "include_rss_feeds": true,
  "custom_rss_feeds": [],
  "min_frequency": 3,
  "max_results": 25
}
```

## Output

```json
{
  "topic": {
    "label": "Topic"
  },
  "status": {
    "label": "Status"
  },
  "current_mentions": {
    "label": "Now"
  },
  "baseline_mentions": {
    "label": "Baseline"
  },
  "velocity_score": {
    "label": "Velocity"
  },
  "acceleration": {
    "label": "Δ"
  },
  "sources": {
    "label": "Sources"
  }
}
```

## About this Actor

This example demonstrates how to use [News Trending Detector](https://apify.com/0xgollum/news-trending-detector.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/0xgollum/news-trending-detector.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/0xgollum/news-trending-detector.md

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).