🚀 Google News Pulse: Advanced Keyword & Sentiment Monitor

Monitor the pulse of any industry with this high-speed Google News scraper. Unlike general scrapers, Pulse focuses on brand intelligence, competitor tracking, and sentiment trends across specific news categories.

🌟 Key Features

• Keyword-Level Monitoring: Track specific brands (e.g., "Zomato", "Tesla") rather than just broad topics.
• Category Filtering: Narrow your search to Business, Technology, Science, Health, and more to ensure high relevancy.
• AI Sentiment Analysis: Automatically tags headlines as Positive, Neutral, or Negative using built-in NLP.
• RSS-Powered Stability: Built using RSS endpoints for maximum speed and resilience against Google UI changes.
• Global & Local Reach: Optimized for India (en-IN) but easily adaptable for global markets.

🛠 How It Works

1. Input Keywords: Enter a list of companies or topics you want to track.
2. Select Category: Choose the relevant Google News section.
3. Set Limits: Decide how many articles per keyword you need.
4. Analyze: The actor fetches the latest news, runs sentiment scoring, and delivers a structured dataset.

📊 Use Cases

• PR & Brand Management: Get alerted to negative press or viral positive stories instantly.
• Competitor Intelligence: See what your competitors are doing in specific sectors like "Technology" or "Business".
• Market Research: Analyze the sentiment of the public regarding new product launches or government policies.
• Lead Generation: Track "funding" or "expansion" news in the Business category for high-intent B2B leads.

📥 Input Example

Field	Type	Description
Keywords	Array	["Nvidia", "AI Regulations"]
Category	String	TECHNOLOGY
Sentiment	Boolean	true

📤 Output Data Structure

The actor provides clean, structured data in JSON, CSV, or Excel:

{
  "keyword": "Nvidia",
  "category": "TECHNOLOGY",
  "title": "Nvidia Announces New Blackwell Chips",
  "link": "[https://news.google.com/](https://news.google.com/)...",
  "pubDate": "Tue, 14 Apr 2026 10:00:00 GMT",
  "source": "TechCrunch",
  "score": 4,
  "label": "Positive"
}