I recently tested Scrape Any Website (SAW), a tool for extracting web data, and found some key issues that affect its usability and functionality. In this post, I'll share my findings, recommendations, and the approach I used to identify these issues.
Testing Approach
I used an exploratory testing approach, trying out different features and scenarios without predefined test cases. This helped me uncover real-world issues that might be missed through scripted tests.
Findings
Poor UI and Data Presentation: The columns and descriptions on the Scraper page lack clarity and visual appeal.
Data Analysis: Users can't analyze scraped data as the system only returns limited information.
Value Display: Status and value displays are often incorrect and lack detailed descriptions.
Performance Issues: Scraping websites loads slowly, hindering efficiency.
Recommendations
Improve the UI and UX of SAW.
Optimize scraping performance.
Provide accurate and detailed descriptions for value displays.
Address data analysis capabilities.
Conclusion
Scrape Any Website (SAW) has potential but needs refinement to meet user expectations. By addressing these issues and implementing the suggested improvements, SAW can become a more intuitive and efficient tool for web scraping tasks.
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