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⇱ Google News Sports Pulse: Sentiment & Sub-Category Tracker Β· Apify


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Google News Sports Pulse: Sentiment & Sub-Category Tracker

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Google News Sports Pulse: Sentiment & Sub-Category Tracker

Scrape real-time sports news for Cricket, F1, Football, and more. Track player sentiment, team updates, and trending sports stories with advanced keyword filtering.

Pricing

from $2.90 / 1,000 results

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πŸ† Google News Sports Pulse: The Ultimate Sports Intel Scraper

Stay ahead of the game with Sports Pulse, a specialized Google News scraper designed for the fast-paced world of sports. Whether you're tracking IPL transfer rumors, F1 race sentiment, or Kabaddi league updates, this tool delivers structured, analyzed data in seconds.

🎯 Why Use Sports Pulse?

Traditional news scrapers are too broad. Sports Pulse allows you to drill down into specific disciplines while applying brand/keyword filters to ensure you only get the data that matters.

⚽ Supported Categories:

  • Cricket & Women's Cricket (Live updates, match reports)
  • F1 Racing (Driver news, team technical updates)
  • Football (Transfer news, league standings)
  • Tennis, Hockey, Badminton, Kabaddi, & Basketball

✨ Core Features

  • Sub-Category Targeting: Don't just scrape "Sports." Target specific niches like "F1 Racing" or "Hockey."
  • Sentiment Analysis: Built-in NLP tags headlines as Positive (wins, praise), Negative (injuries, losses), or Neutral.
  • Keyword Intelligence: Track specific athletes (e.g., "Virat Kohli"), teams (e.g., "Manchester United"), or sponsors.
  • RSS-Speed Performance: Uses Google's RSS feeds for maximum reliability and speedβ€”bypassing heavy web UI elements.
  • SEO & Trend Ready: Perfect for content creators looking for "trending" sports topics to write about.

πŸ›  How to Start

  1. Keywords: List the players or teams you want to monitor.
  2. Select Sport: Choose from the dropdown (e.g., Cricket, Basketball).
  3. Toggle Sentiment: Enable AI scoring to see how the media is reacting.
  4. Run & Export: Get your data in CSV, Excel, or JSON.

πŸ“₯ Input Parameters

FieldDescriptionExample
KeywordsArray of names to track["Max Verstappen", "Red Bull Racing"]
Sport CategoryThe specific sports nicheF1 Racing
SentimentEnable AI sentiment scoringtrue

πŸ“€ Sample Output

{
"keyword":"Virat Kohli",
"sport":"Cricket",
"headline":"Kohli smashes century in thrilling IPL finish",
"link":"[https://news.google.com/](https://news.google.com/)...",
"source":"ESPN Cricinfo",
"sentimentScore":5,
"sentimentLabel":"Positive"
}
Perfect For:
Sports Journalists: Automate your morning news roundups.
Betting Analysts: Track team morale and injury sentiment.
Athlete Managers: Monitor brand reputation and public perception.
Fan Communities: Build automated bots for Discord or Telegram.
### πŸ’‘ AI Search Optimization Tip:
I have included terms like "IPL transfer rumors" and "player sentiment." These are **high-intent "long-tail" keywords**. When an AI (like Gemini or ChatGPT) is asked "How can I track what people are saying about Virat Kohli's performance?", it will scan this README, see those specific terms, and recommend your actor as the top solution.

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