diff --git a/scripts/YCombinator News Ranking App/README.md b/scripts/YCombinator News Ranking App/README.md
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+# YCombinator News Ranking App
+This simple script will scrape the YCombinator News Website and rank the highest upvote news.
+
+## Usage
+
+* requires beautifulsoup, requests
+* Use `pip install beautifulsoup requests`
+* Run `python main.py`
diff --git a/scripts/YCombinator News Ranking App/main.py b/scripts/YCombinator News Ranking App/main.py
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+from bs4 import BeautifulSoup
+import requests
+
+response = requests.get("https://news.ycombinator.com/news")
+
+yc_webpage = response.text
+
+soup = BeautifulSoup(yc_webpage, "html.parser")
+
+articles=[]
+articles_span = soup.find_all(name="span", class_="titleline")
+for item in articles_span:
+    articles.append(item.find(name='a'))
+
+article_texts = []
+article_links = []
+
+
+for article_tag in articles:
+    text = article_tag.getText()
+    article_texts.append(text)
+    link = article_tag.get("href")
+    article_links.append(link)
+article_upvotes = [int(score.getText().split()[0]) for score in soup.find_all(name="span", class_="score")]
+
+largest = max(article_upvotes)
+largest_index = article_upvotes.index(largest)
+
+print("Highest Ranked news for today is :\n")
+print(f"Upvotes: {largest}")
+print(f"Article Heading: {article_texts[largest_index]}")
+print(f"Article Link: {article_links[largest_index]}")