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TrendHunter AI

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TrendHunter AI

TrendHunter AI

TrendHunter AI is an intelligent Apify Actor that scouts trending tech and news stories from *any* specific region of the globe. It aggregates local sources (like Qiita in Japan or Meneame in Spain), and translates foreign "Alpha" into English using Lingo.dev

Pricing

from $0.01 / 1,000 results

Rating

0.0

(0)

Developer

Navyansh Kesarwani

Navyansh Kesarwani

Maintained by Community

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Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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🌍 TrendHunter AI

TrendHunter AI is an intelligent Apify Actor that scouts trending tech and news stories from any specific region of the globe. It aggregates local sources (like Qiita in Japan or Meneame in Spain), auto-detects English content to save costs, and translates foreign "Alpha" into English using Lingo.dev.

🚀 Features

  • Universal Region Support: Just type a country name (e.g., "Vietnam", "Brazil", "Norway"). The Actor intelligently routes to specific high-quality aggregators or falls back to scraping local Reddit communities.
  • Smart Source Mapping:
    • Japan → Scrapes Qiita and r/Japan.
    • Spain → Scrapes Meneame and r/es.
    • India → Scrapes r/developersIndia and r/india.
    • Global → Scrapes r/worldnews and r/technology.
  • Cost Optimization: It automatically detects if a story is already in English (common in US/UK trends) and skips the translation API call, saving you credits.
  • AI Translation: Uses Lingo.dev SDK to provide accurate, context-aware translations for non-English content.
  • Lean Data: Outputs clean, lightweight JSON suitable for feeding into other AI agents or dashboards.

📦 Output

The Actor stores results in the default Apify Dataset. Example:

{
"title": "Logran revertir el Alzheimer en ratones",
"url": "https://www.meneame.net/story/alzheimer-reversal...",
"description": "Un nuevo estudio demuestra que es posible...",
"source": "Meneame (Spain)",
"source_lang": "es",
"stats": {
"votes": 120,
"comments": 45
},
"translated_title": "Scientists achieve complete neurological recovery from Alzheimer's in mice",
"translated_description": "A new study shows that it is possible..."
}

🛠️ Usage

Input Configuration

FieldTypeDefaultDescription
regionsarray["Global"]List of regions to hunt trends in (e.g. ["Japan", "Brazil"]).
target_languagestring"en"Language code to translate titles into.
max_itemsinteger5Max trends to scrape per source.

Example Input

{
"regions": ["Japan", "Brazil", "Vietnam"],
"target_language": "en",
"max_items": 10
}

🔧 Local Development

  1. Clone & Install:

    git clone <repo_url>
    cd lingo-hackathon
    python3 -m venv venv
    source venv/bin/activate
    pip install -r requirements.txt
  2. Set Environment Variables: Create a .env file or export your Lingo.dev key:

    $export LINGODOTDEV_API_KEY="your_key_here"
  3. Run:

    apify run
    # or
    python3 -m src.main

☁️ Deployment

Deploy to Apify using the CLI:

$apify push

Don't forget to set your LINGODOTDEV_API_KEY in the Actor's environment variables on the Apify Console!


Built for the Lingo.dev Hackathon