Building a web scraper often seems simple, yet this misconception can lead to poor practices that hinder scalability and overall effectiveness when scraping larger data sets.
The simplicity of creating a basic scraper can mislead developers into neglecting best practices such as commenting, error handling, and maintaining clean code, resulting in fragile scripts.
When web scraping, relying solely on basic techniques might not suffice in advanced scenarios, hence iterating to more sophisticated strategies becomes crucial for enhanced performance.
It’s essential to consider scalability from the outset; what works for a small script can become unwieldy as your scraping needs grow over multiple sites.
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