Add multi_price_tracker.py to track product prices across platforms

multi-platform-price-tracker/multi_price_tracker.py

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+#!/usr/bin/env python3
+
+"""
+multi_price_tracker.py
+-----------------------
+Tracks the price of a product across Amazon, Flipkart, and Snapdeal using product keywords.
+Stores historical price data in a CSV file.
+Requirements: requests, beautifulsoup4
+Optional: matplotlib (for trend visualization)
+"""
+
+import requests
+from bs4 import BeautifulSoup
+import csv
+import datetime
+
+HEADERS = {
+    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
+    "Accept-Language": "en-US,en;q=0.9"
+}
+
+def fetch_amazon(keyword):
+    url = f"https://www.amazon.in/s?k={keyword.replace(' ', '+')}"
+    try:
+        res = requests.get(url, headers=HEADERS)
+        soup = BeautifulSoup(res.text, 'html.parser')
+        title = soup.select_one('h2 a span')
+        price = soup.select_one('.a-price-whole')
+        link = soup.select_one('h2 a')
+
+        if title and price and link:
+            return {
+                "platform": "Amazon",
+                "title": title.text.strip(),
+                "price": price.text.strip().replace(',', ''),
+                "url": "https://www.amazon.in" + link['href']
+            }
+    except Exception as e:
+        print(f"[Amazon] Error: {e}")
+    return None
+
+def fetch_flipkart(keyword):
+    url = f"https://www.flipkart.com/search?q={keyword.replace(' ', '+')}"
+    try:
+        res = requests.get(url, headers=HEADERS)
+        soup = BeautifulSoup(res.text, 'html.parser')
+        title = soup.select_one('._4rR01T') or soup.select_one('.s1Q9rs')
+        price = soup.select_one('._30jeq3')
+        link = title.parent if title else None
+
+        if title and price and link:
+            return {
+                "platform": "Flipkart",
+                "title": title.text.strip(),
+                "price": price.text.strip()[1:].replace(',', ''),
+                "url": "https://www.flipkart.com" + link['href']
+            }
+    except Exception as e:
+        print(f"[Flipkart] Error: {e}")
+    return None
+
+def fetch_snapdeal(keyword):
+    url = f"https://www.snapdeal.com/search?keyword={keyword.replace(' ', '%20')}"
+    try:
+        res = requests.get(url, headers=HEADERS)
+        soup = BeautifulSoup(res.text, 'html.parser')
+        title = soup.select_one('.product-title')
+        price = soup.select_one('.product-price')
+        link = title.parent if title else None
+
+        if title and price and link:
+            return {
+                "platform": "Snapdeal",
+                "title": title.text.strip(),
+                "price": price.text.strip().replace('Rs. ', '').replace(',', ''),
+                "url": "https://www.snapdeal.com" + link['href']
+            }
+    except Exception as e:
+        print(f"[Snapdeal] Error: {e}")
+    return None
+
+def save_to_csv(data, keyword):
+    filename = f"{keyword.replace(' ', '_')}_price_history.csv"
+    today = datetime.date.today().isoformat()
+
+    with open(filename, mode='a', newline='', encoding='utf-8') as f:
+        writer = csv.writer(f)
+        for entry in data:
+            writer.writerow([today, entry['platform'], entry['title'], entry['price'], entry['url']])
+
+    print(f"✅ Data saved to {filename}")
+
+def main():
+    keyword = input("🔎 Enter product keyword: ").strip()
+    results = []
+
+    print("\n⏳ Fetching prices...")
+
+    for func in [fetch_amazon, fetch_flipkart, fetch_snapdeal]:
+        result = func(keyword)
+        if result:
+            results.append(result)
+
+    if results:
+        for r in results:
+            print(f"\n📌 {r['platform']}")
+            print(f"Title: {r['title']}")
+            print(f"Price: ₹{r['price']}")
+            print(f"Link: {r['url']}")
+
+        save_to_csv(results, keyword)
+    else:
+        print("⚠️ Could not retrieve data. Try again later or with a different keyword.")
+
+if __name__ == "__main__":
+    main()