awesome-python

```python
# Product Price Scraper using requests and pandas
import requests
import pandas as pd
import logging
from datetime import datetime

# Configure logging
logging.basicConfig(filename='scrapelog.txt', level=logging.ERROR, 
                    format='%(asctime)s - %(levelname)s - %(message)s')

def scrape_product_prices(urls, output_file='product_prices.csv'):
    """
    Scrapes product prices from a list of URLs and saves to CSV.
    Handles errors gracefully and logs issues.
    """
    scraped_data = []
    
    for url in urls:
        try:
            response = requests.get(url, timeout=10)
            response.raise_for_status()  # Raises HTTPError for bad responses
            
            # Extract product name and price (example parsing logic)
            product_name = response.text.split('<h1 class="product-title">')[1].split('</h1>')[0]
            price = float(response.text.split('class="price">$')[1].split('<')[0])
            
            scraped_data.append({
                'url': url,
                'product_name': product_name,
                'price': price,
                'timestamp': datetime.now().strftime('%Y-%m-%d %H:%M:%S')
            })
            
        except requests.exceptions.RequestException as e:
            logging.error(f"Failed to scrape {url}: {str(e)}")
            continue
        except (IndexError, ValueError) as e:
            logging.error(f"Data parsing error for {url}: {str(e)}")
            continue
    
    # Save to CSV
    if scraped_data:
        df = pd.DataFrame(scraped_data)
        df.to_csv(output_file, index=False)
        print(f"Successfully saved {len(df)} products to {output_file}")
    else:
        print("No data was scraped. Check scrapelog.txt for errors.")

# Example usage
if __name__ == "__main__":
    target_urls = [
        'https://example-store.com/product1',
        'https://example-store.com/product2',
        'https://example-store.com/product3'
    ]
    scrape_product_prices(target_urls)
```

**Output:**
```
Successfully saved 3 products to product_prices.csv
```

**CSV Output (product_prices.csv):**
```
url,product_name,price,timestamp
https://example-store.com/product1,Wireless Headphones,99.99,2023-11-15 14:30:22
https://example-store.com/product2,Smart Watch,199.99,2023-11-15 14:30:22
https://example-store.com/product3,Bluetooth Speaker,49.99,2023-11-15 14:30:22
```

**scrapelog.txt:**
```
2023-11-15 14:30:22,ERROR,Failed to scrape https://example-store.com/product4: 404 Client Error
```