Web data can be messy, unstructured, and have many edge cases. So, it's important that your scraper is robust and deals with messy data effectively.
So, in Part 2: Cleaning Dirty Data & Dealing With Edge Cases, we're going to show you how to make your scraper more robust and reliable.
00:00 Intro
00:18 Strategies to Deal With Edge Cases
00:27 Structure your scraped data with Data Classes
05:09 Process and Store Scraped Data with Data Pipeline
08:49 Testing Our Data Processing
Article With Code Examples: https://scrapeops.io/python-web-scrap...
Python Web Scraping Playbook: https://scrapeops.io/python-web-scrap...
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