Build a Price Monitoring Bot with Python: Never Miss a Deal
You've had your eye on that new laptop. Or camera. Or gadget. You keep checking the price, hoping it'll drop during a sale. But you can't check every day. And when it does go on sale, you miss it.
Let's build a Python bot that watches prices for you and sends an alert the moment they drop below your target.
What You'll Learn
- Web scraping for price extraction
- Storing and comparing price history
- Sending email and SMS alerts
- Scheduling automated price checks
- Handling multiple products and sites
Prerequisites
- Python 3.8 or higher
- requests library (
pip install requests) - BeautifulSoup (
pip install beautifulsoup4) - Basic understanding of HTML structure
The Problem
Manual price monitoring is tedious:
- Checking multiple sites daily takes time
- You forget to check and miss sales
- Price history disappears when you're not tracking
- Flash sales happen when you're not looking
The Solution
A Python bot that:
- Checks prices automatically on a schedule
- Stores price history to track trends
- Sends alerts when prices drop
- Works across multiple products and sites
Step 1: Basic Price Scraping
First, let's extract a price from a product page:
1import requests
2from bs4 import BeautifulSoup
3
4def get_page(url):
5 """
6 Fetch a web page with proper headers.
7
8 Args:
9 url: The URL to fetch
10
11 Returns:
12 BeautifulSoup object or None if failed
13 """
14 headers = {
15 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
16 'Accept-Language': 'en-US,en;q=0.9',
17 }
18
19 try:
20 response = requests.get(url, headers=headers, timeout=15)
21 response.raise_for_status()
22 return BeautifulSoup(response.content, 'html.parser')
23 except requests.RequestException as e:
24 print(f"Error fetching {url}: {e}")
25 return None
26
27
28def extract_price(soup, price_selector):
29 """
30 Extract price from page using CSS selector.
31
32 Args:
33 soup: BeautifulSoup object
34 price_selector: CSS selector for price element
35
36 Returns:
37 Float price or None if not found
38 """
39 import re
40
41 try:
42 price_element = soup.select_one(price_selector)
43 if not price_element:
44 return None
45
46 price_text = price_element.get_text()
47
48 # Extract number from price string
49 # Handles: $1,299.99, €99.99, £50.00, etc.
50 match = re.search(r'[\d,]+\.?\d*', price_text.replace(',', ''))
51 if match:
52 return float(match.group().replace(',', ''))
53
54 except Exception as e:
55 print(f"Error extracting price: {e}")
56
57 return None
58
59
60# Example usage
61url = "https://example.com/product"
62soup = get_page(url)
63if soup:
64 price = extract_price(soup, ".product-price")
65 print(f"Current price: ${price}")Step 2: Product Configuration
Define what products to monitor and their price targets:
1# products.py - Configuration for products to monitor
2
3PRODUCTS = [
4 {
5 "name": "Sony WH-1000XM5 Headphones",
6 "url": "https://www.amazon.com/dp/B09XS7JWHH",
7 "price_selector": "span.a-price-whole",
8 "target_price": 300.00,
9 "check_enabled": True,
10 },
11 {
12 "name": "MacBook Air M2",
13 "url": "https://www.apple.com/shop/buy-mac/macbook-air",
14 "price_selector": "span.as-price-currentprice",
15 "target_price": 999.00,
16 "check_enabled": True,
17 },
18 {
19 "name": "PS5 Console",
20 "url": "https://www.walmart.com/ip/PlayStation-5/...",
21 "price_selector": "[data-testid='price']",
22 "target_price": 400.00,
23 "check_enabled": True,
24 },
25]Step 3: Price History Storage
Store prices over time to track trends:
1import json
2from datetime import datetime
3from pathlib import Path
4
5
6class PriceHistory:
7 """Store and manage price history."""
8
9 def __init__(self, history_file="price_history.json"):
10 self.history_file = Path(history_file)
11 self.data = self._load()
12
13 def _load(self):
14 """Load existing history or create empty."""
15 if self.history_file.exists():
16 with open(self.history_file, 'r') as f:
17 return json.load(f)
18 return {}
19
20 def _save(self):
21 """Save history to file."""
22 with open(self.history_file, 'w') as f:
23 json.dump(self.data, f, indent=2)
24
25 def add_price(self, product_name, price):
26 """
27 Add a price point for a product.
28
29 Args:
30 product_name: Name of the product
31 price: Current price
32 """
33 if product_name not in self.data:
34 self.data[product_name] = {
35 "prices": [],
36 "lowest_price": None,
37 "highest_price": None,
38 }
39
40 entry = {
41 "price": price,
42 "timestamp": datetime.now().isoformat(),
43 }
44
45 self.data[product_name]["prices"].append(entry)
46
47 # Update min/max
48 prices = [p["price"] for p in self.data[product_name]["prices"]]
49 self.data[product_name]["lowest_price"] = min(prices)
50 self.data[product_name]["highest_price"] = max(prices)
51
52 self._save()
53
54 def get_lowest_price(self, product_name):
55 """Get the lowest recorded price for a product."""
56 if product_name in self.data:
57 return self.data[product_name].get("lowest_price")
58 return None
59
60 def get_price_trend(self, product_name, days=7):
61 """
62 Get price trend for last N days.
63
64 Returns: 'down', 'up', 'stable', or None
65 """
66 if product_name not in self.data:
67 return None
68
69 prices = self.data[product_name]["prices"]
70 if len(prices) < 2:
71 return None
72
73 recent = prices[-1]["price"]
74 older = prices[0]["price"]
75
76 if recent < older * 0.95: # 5% decrease
77 return "down"
78 elif recent > older * 1.05: # 5% increase
79 return "up"
80 return "stable"Step 4: Alert System
Send notifications when prices drop:
1import smtplib
2from email.mime.text import MIMEText
3from email.mime.multipart import MIMEMultipart
4
5
6def send_email_alert(product, current_price, target_price, lowest_ever):
7 """
8 Send email alert for price drop.
9
10 Args:
11 product: Product configuration dictionary
12 current_price: Current price
13 target_price: Target price threshold
14 lowest_ever: Lowest recorded price
15 """
16 sender_email = "your.email@gmail.com"
17 sender_password = "your-app-password" # Use environment variable!
18 recipient = "your.email@gmail.com"
19
20 # Determine if this is a new low
21 is_new_low = lowest_ever is None or current_price < lowest_ever
22
23 subject = f"🔥 Price Alert: {product['name']} - ${current_price:.2f}"
24
25 body = f"""
26 <html>
27 <body style="font-family: Arial, sans-serif;">
28 <h2>Price Alert!</h2>
29
30 <h3>{product['name']}</h3>
31
32 <p style="font-size: 24px; color: #28a745;">
33 Current Price: <strong>${current_price:.2f}</strong>
34 </p>
35
36 <table style="border-collapse: collapse; margin: 20px 0;">
37 <tr>
38 <td style="padding: 8px; border: 1px solid #ddd;">Target Price:</td>
39 <td style="padding: 8px; border: 1px solid #ddd;">${target_price:.2f}</td>
40 </tr>
41 <tr>
42 <td style="padding: 8px; border: 1px solid #ddd;">Savings:</td>
43 <td style="padding: 8px; border: 1px solid #ddd; color: #28a745;">
44 ${target_price - current_price:.2f} ({((target_price - current_price) / target_price * 100):.1f}% below target)
45 </td>
46 </tr>
47 {"<tr><td style='padding: 8px; border: 1px solid #ddd;'>🎉</td><td style='padding: 8px; border: 1px solid #ddd; color: #dc3545;'><strong>NEW LOWEST PRICE!</strong></td></tr>" if is_new_low else ""}
48 </table>
49
50 <p><a href="{product['url']}" style="background-color: #007bff; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px;">View Product</a></p>
51
52 <hr>
53 <p style="color: #666; font-size: 12px;">
54 Sent by Price Monitor Bot at {datetime.now().strftime('%Y-%m-%d %H:%M')}
55 </p>
56 </body>
57 </html>
58 """
59
60 msg = MIMEMultipart('alternative')
61 msg['Subject'] = subject
62 msg['From'] = sender_email
63 msg['To'] = recipient
64 msg.attach(MIMEText(body, 'html'))
65
66 try:
67 with smtplib.SMTP_SSL('smtp.gmail.com', 465) as server:
68 server.login(sender_email, sender_password)
69 server.send_message(msg)
70 print(f"✅ Alert sent for {product['name']}")
71 return True
72 except Exception as e:
73 print(f"❌ Failed to send alert: {e}")
74 return FalseStep 5: The Main Monitor
Bring it all together:
1#!/usr/bin/env python3
2"""
3Price Monitor Bot - Track prices and get alerts when they drop.
4Author: Alex Rodriguez
5
6Monitor product prices across multiple websites and receive
7notifications when prices fall below your target.
8"""
9
10import json
11import logging
12import os
13import re
14import smtplib
15import time
16from datetime import datetime
17from email.mime.multipart import MIMEMultipart
18from email.mime.text import MIMEText
19from pathlib import Path
20
21import requests
22from bs4 import BeautifulSoup
23
24
25# ========================================
26# CONFIGURATION
27# ========================================
28
29# Products to monitor
30PRODUCTS = [
31 {
32 "name": "Example Product",
33 "url": "https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html",
34 "price_selector": "p.price_color",
35 "target_price": 50.00,
36 "check_enabled": True,
37 },
38 # Add more products here...
39]
40
41# Alert settings
42EMAIL_ALERTS = True
43EMAIL_ADDRESS = os.environ.get("EMAIL_ADDRESS", "your.email@gmail.com")
44EMAIL_PASSWORD = os.environ.get("EMAIL_PASSWORD", "your-app-password")
45ALERT_RECIPIENT = os.environ.get("ALERT_RECIPIENT", "your.email@gmail.com")
46
47# File paths
48HISTORY_FILE = "price_history.json"
49LOG_FILE = "price_monitor.log"
50
51
52# ========================================
53# LOGGING SETUP
54# ========================================
55
56logging.basicConfig(
57 level=logging.INFO,
58 format='%(asctime)s | %(levelname)-8s | %(message)s',
59 handlers=[
60 logging.FileHandler(LOG_FILE),
61 logging.StreamHandler()
62 ]
63)
64logger = logging.getLogger(__name__)
65
66
67# ========================================
68# PRICE HISTORY MANAGEMENT
69# ========================================
70
71class PriceHistory:
72 """Store and manage price history."""
73
74 def __init__(self, filepath=HISTORY_FILE):
75 self.filepath = Path(filepath)
76 self.data = self._load()
77
78 def _load(self):
79 if self.filepath.exists():
80 with open(self.filepath, 'r') as f:
81 return json.load(f)
82 return {}
83
84 def _save(self):
85 with open(self.filepath, 'w') as f:
86 json.dump(self.data, f, indent=2)
87
88 def add_price(self, product_name, price, url):
89 if product_name not in self.data:
90 self.data[product_name] = {
91 "url": url,
92 "prices": [],
93 "lowest_price": None,
94 "highest_price": None,
95 }
96
97 entry = {
98 "price": price,
99 "timestamp": datetime.now().isoformat(),
100 }
101
102 self.data[product_name]["prices"].append(entry)
103
104 # Keep only last 100 entries per product
105 if len(self.data[product_name]["prices"]) > 100:
106 self.data[product_name]["prices"] = self.data[product_name]["prices"][-100:]
107
108 prices = [p["price"] for p in self.data[product_name]["prices"]]
109 self.data[product_name]["lowest_price"] = min(prices)
110 self.data[product_name]["highest_price"] = max(prices)
111
112 self._save()
113 return self.data[product_name]
114
115 def get_lowest(self, product_name):
116 if product_name in self.data:
117 return self.data[product_name].get("lowest_price")
118 return None
119
120 def get_last_price(self, product_name):
121 if product_name in self.data:
122 prices = self.data[product_name].get("prices", [])
123 if len(prices) >= 2:
124 return prices[-2]["price"]
125 return None
126
127
128# ========================================
129# WEB SCRAPING
130# ========================================
131
132def fetch_page(url):
133 """Fetch a web page with proper headers."""
134 headers = {
135 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
136 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
137 'Accept-Language': 'en-US,en;q=0.9',
138 'Accept-Encoding': 'gzip, deflate, br',
139 'Connection': 'keep-alive',
140 }
141
142 try:
143 response = requests.get(url, headers=headers, timeout=15)
144 response.raise_for_status()
145 return BeautifulSoup(response.content, 'html.parser')
146 except requests.Timeout:
147 logger.error(f"Timeout fetching {url}")
148 except requests.HTTPError as e:
149 logger.error(f"HTTP error {e.response.status_code} for {url}")
150 except requests.RequestException as e:
151 logger.error(f"Error fetching {url}: {e}")
152
153 return None
154
155
156def extract_price(soup, selector):
157 """Extract price from page using CSS selector."""
158 try:
159 element = soup.select_one(selector)
160 if not element:
161 return None
162
163 text = element.get_text()
164
165 # Extract numeric price
166 # Handles various formats: $1,299.99, £50.00, €99,99
167 cleaned = re.sub(r'[^\d.,]', '', text)
168
169 # Handle European format (comma as decimal)
170 if ',' in cleaned and '.' in cleaned:
171 if cleaned.index('.') < cleaned.index(','):
172 cleaned = cleaned.replace('.', '').replace(',', '.')
173 else:
174 cleaned = cleaned.replace(',', '')
175 elif ',' in cleaned and '.' not in cleaned:
176 # Could be European decimal or thousands separator
177 if len(cleaned.split(',')[-1]) == 2:
178 cleaned = cleaned.replace(',', '.')
179 else:
180 cleaned = cleaned.replace(',', '')
181
182 return float(cleaned) if cleaned else None
183
184 except Exception as e:
185 logger.error(f"Error extracting price: {e}")
186
187 return None
188
189
190def get_title(soup):
191 """Try to extract product title from page."""
192 selectors = ['h1', '.product-title', '.product-name', '#productTitle']
193
194 for selector in selectors:
195 element = soup.select_one(selector)
196 if element:
197 return element.get_text().strip()[:100]
198
199 return None
200
201
202# ========================================
203# ALERTS
204# ========================================
205
206def send_email_alert(product, current_price, target_price, lowest_ever, is_new_low):
207 """Send email alert for price drop."""
208 if not EMAIL_ALERTS:
209 return
210
211 savings = target_price - current_price
212 savings_pct = (savings / target_price) * 100
213
214 subject = f"🔥 Price Alert: {product['name']} - ${current_price:.2f}"
215
216 body = f"""
217 <html>
218 <body style="font-family: Arial, sans-serif; max-width: 600px; margin: 0 auto;">
219 <div style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 20px; text-align: center;">
220 <h1 style="margin: 0;">💰 Price Drop Alert!</h1>
221 </div>
222
223 <div style="padding: 20px;">
224 <h2>{product['name']}</h2>
225
226 <div style="background-color: #d4edda; border: 1px solid #c3e6cb; padding: 15px; border-radius: 5px; margin: 20px 0;">
227 <p style="margin: 0; font-size: 28px; color: #155724;">
228 ${current_price:.2f}
229 </p>
230 <p style="margin: 5px 0 0 0; color: #155724;">
231 Save ${savings:.2f} ({savings_pct:.1f}% below target!)
232 </p>
233 </div>
234
235 {"<p style='background-color: #fff3cd; padding: 10px; border-radius: 5px;'>🎉 <strong>NEW ALL-TIME LOW!</strong></p>" if is_new_low else ""}
236
237 <table style="width: 100%; border-collapse: collapse; margin: 20px 0;">
238 <tr>
239 <td style="padding: 10px; border-bottom: 1px solid #ddd;">Your Target Price</td>
240 <td style="padding: 10px; border-bottom: 1px solid #ddd; text-align: right;">${target_price:.2f}</td>
241 </tr>
242 <tr>
243 <td style="padding: 10px; border-bottom: 1px solid #ddd;">Lowest Recorded</td>
244 <td style="padding: 10px; border-bottom: 1px solid #ddd; text-align: right;">${lowest_ever:.2f if lowest_ever else 'N/A'}</td>
245 </tr>
246 </table>
247
248 <p style="text-align: center;">
249 <a href="{product['url']}" style="display: inline-block; background-color: #28a745; color: white; padding: 12px 30px; text-decoration: none; border-radius: 5px; font-weight: bold;">
250 🛒 Buy Now
251 </a>
252 </p>
253 </div>
254
255 <div style="background-color: #f8f9fa; padding: 15px; text-align: center; font-size: 12px; color: #666;">
256 Price Monitor Bot • {datetime.now().strftime('%Y-%m-%d %H:%M')}
257 </div>
258 </body>
259 </html>
260 """
261
262 msg = MIMEMultipart('alternative')
263 msg['Subject'] = subject
264 msg['From'] = EMAIL_ADDRESS
265 msg['To'] = ALERT_RECIPIENT
266 msg.attach(MIMEText(body, 'html'))
267
268 try:
269 with smtplib.SMTP_SSL('smtp.gmail.com', 465) as server:
270 server.login(EMAIL_ADDRESS, EMAIL_PASSWORD)
271 server.send_message(msg)
272 logger.info(f"📧 Alert sent for {product['name']}")
273 return True
274 except Exception as e:
275 logger.error(f"Failed to send email: {e}")
276 return False
277
278
279# ========================================
280# MAIN MONITOR
281# ========================================
282
283def check_product(product, history):
284 """
285 Check a single product's price.
286
287 Returns: Dictionary with check results
288 """
289 logger.info(f"Checking: {product['name']}")
290
291 result = {
292 "name": product['name'],
293 "url": product['url'],
294 "target_price": product['target_price'],
295 "current_price": None,
296 "status": "unknown",
297 "alert_sent": False,
298 }
299
300 # Fetch and parse page
301 soup = fetch_page(product['url'])
302 if not soup:
303 result["status"] = "fetch_failed"
304 return result
305
306 # Extract price
307 price = extract_price(soup, product['price_selector'])
308 if price is None:
309 result["status"] = "price_not_found"
310 logger.warning(f" Could not extract price for {product['name']}")
311 return result
312
313 result["current_price"] = price
314 logger.info(f" Current price: ${price:.2f} (target: ${product['target_price']:.2f})")
315
316 # Get historical data
317 lowest_ever = history.get_lowest(product['name'])
318 last_price = history.get_last_price(product['name'])
319
320 # Record this price
321 history.add_price(product['name'], price, product['url'])
322
323 # Check if this is a new low
324 is_new_low = lowest_ever is None or price < lowest_ever
325
326 # Determine if we should alert
327 if price <= product['target_price']:
328 result["status"] = "below_target"
329 logger.info(f" 🎯 BELOW TARGET! (${price:.2f} <= ${product['target_price']:.2f})")
330
331 # Send alert
332 alert_sent = send_email_alert(
333 product, price, product['target_price'], lowest_ever, is_new_low
334 )
335 result["alert_sent"] = alert_sent
336
337 elif is_new_low:
338 result["status"] = "new_low"
339 logger.info(f" 📉 New lowest price recorded: ${price:.2f}")
340
341 elif last_price and price < last_price:
342 result["status"] = "price_dropped"
343 logger.info(f" ↓ Price dropped from ${last_price:.2f}")
344
345 else:
346 result["status"] = "above_target"
347
348 return result
349
350
351def run_monitor():
352 """Run the price monitor for all products."""
353 logger.info("=" * 60)
354 logger.info("PRICE MONITOR STARTING")
355 logger.info(f"Time: {datetime.now()}")
356 logger.info(f"Products to check: {len([p for p in PRODUCTS if p['check_enabled']])}")
357 logger.info("=" * 60)
358
359 history = PriceHistory()
360 results = []
361
362 for product in PRODUCTS:
363 if not product.get('check_enabled', True):
364 continue
365
366 result = check_product(product, history)
367 results.append(result)
368
369 # Be polite - wait between requests
370 time.sleep(2)
371
372 # Summary
373 logger.info("\n" + "=" * 60)
374 logger.info("SUMMARY")
375 logger.info("=" * 60)
376
377 alerts_sent = sum(1 for r in results if r['alert_sent'])
378 below_target = sum(1 for r in results if r['status'] == 'below_target')
379 failed = sum(1 for r in results if r['status'] in ['fetch_failed', 'price_not_found'])
380
381 logger.info(f"Products checked: {len(results)}")
382 logger.info(f"Below target price: {below_target}")
383 logger.info(f"Alerts sent: {alerts_sent}")
384 logger.info(f"Failed checks: {failed}")
385
386 return results
387
388
389def main():
390 """Main entry point."""
391 try:
392 run_monitor()
393 except KeyboardInterrupt:
394 logger.info("\nMonitor stopped by user")
395 except Exception as e:
396 logger.exception(f"Monitor failed: {e}")
397 raise
398
399
400if __name__ == "__main__":
401 main()How to Run This Script
-
Install dependencies:
bash1pip install requests beautifulsoup4 -
Configure products in the
PRODUCTSlist:- Get the product URL
- Find the price selector (right-click price → Inspect)
- Set your target price
-
Set up email alerts:
bash1export EMAIL_ADDRESS="your.email@gmail.com" 2export EMAIL_PASSWORD="your-app-password" 3export ALERT_RECIPIENT="your.email@gmail.com" -
Run manually:
bash1python price_monitor.py -
Schedule automatic checks (see our scheduling guide):
bash1# Run every 6 hours 20 */6 * * * /usr/bin/python3 /path/to/price_monitor.py
Finding Price Selectors
- Open the product page in your browser
- Right-click on the price → Inspect
- Look for the HTML element containing the price
- Find a unique identifier:
- Class:
.product-price,.a-price-whole - ID:
#priceblock_ourprice - Data attribute:
[data-price]
- Class:
- Test in browser console:
document.querySelector(".your-selector")
Customization Options
Add Multiple Alert Thresholds
1PRODUCTS = [
2 {
3 "name": "Product",
4 "url": "...",
5 "price_selector": "...",
6 "target_price": 100,
7 "alert_thresholds": [
8 {"price": 100, "message": "Good deal!"},
9 {"price": 80, "message": "Great deal!"},
10 {"price": 60, "message": "AMAZING DEAL!"},
11 ],
12 },
13]Track Price History Graph
1import matplotlib.pyplot as plt
2
3def plot_price_history(product_name, history):
4 """Generate price history chart."""
5 data = history.data.get(product_name, {})
6 prices = data.get("prices", [])
7
8 if not prices:
9 return
10
11 dates = [p["timestamp"][:10] for p in prices]
12 values = [p["price"] for p in prices]
13
14 plt.figure(figsize=(10, 5))
15 plt.plot(dates, values, marker='o')
16 plt.title(f"Price History: {product_name}")
17 plt.xlabel("Date")
18 plt.ylabel("Price ($)")
19 plt.xticks(rotation=45)
20 plt.tight_layout()
21 plt.savefig(f"{product_name}_history.png")Common Issues & Solutions
| Issue | Solution |
|---|---|
| Price not found | Check selector; site may use JavaScript (try Selenium) |
| Getting blocked | Add delays; rotate User-Agents; use proxies |
| Wrong price extracted | Selector may match multiple elements; be more specific |
| Email alerts fail | Check Gmail app password; verify credentials |
| Prices in wrong format | Adjust the price parsing regex for your locale |
Taking It Further
Add Browser Automation for JavaScript Sites
1# pip install selenium webdriver-manager
2from selenium import webdriver
3from selenium.webdriver.chrome.service import Service
4from webdriver_manager.chrome import ChromeDriverManager
5
6def fetch_js_page(url):
7 """Fetch page that requires JavaScript."""
8 options = webdriver.ChromeOptions()
9 options.add_argument('--headless')
10
11 driver = webdriver.Chrome(
12 service=Service(ChromeDriverManager().install()),
13 options=options
14 )
15
16 try:
17 driver.get(url)
18 time.sleep(3) # Wait for JS to load
19 return BeautifulSoup(driver.page_source, 'html.parser')
20 finally:
21 driver.quit()SMS Alerts via Twilio
1# pip install twilio
2from twilio.rest import Client
3
4def send_sms_alert(message):
5 client = Client("ACCOUNT_SID", "AUTH_TOKEN")
6 client.messages.create(
7 body=message,
8 from_="+1234567890",
9 to="+0987654321"
10 )Conclusion
You now have a complete price monitoring system. It checks prices automatically, stores history for trend analysis, and alerts you the moment prices drop below your targets.
Never miss a deal again. Set your target prices, schedule the script, and let Python do the watching. When that price drops, you'll be the first to know.
Your personal shopping assistant, automated.
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