Milivoj Arthur
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Storing the scraped reviews in a database instead of printing them offers long-term value. Databases like SQLite or PostgreSQL allow you to organize the data and run queries to analyze trends. For instance, you could filter reviews by date to identify trends over time or calculate average ratings for different restaurants. This structured storage also makes it easier to integrate the data into other tools or applications.
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Handling changes in the website structure is another critical aspect of building a robust scraper. Websites like Ticketmaster frequently update their layouts, breaking hardcoded scrapers. To address this, you can use flexible selectors that target elements based on attributes or patterns. Regular testing and logging of scraper performance help identify and fix issues quickly when changes occur.
