Reduced collection time by over 80%, from 3 hours to under 30 minutes
Automation of Manual Data Entry
Decreased the time required for this task from over an hour to less than 10 minutes
News Crawler and Report Generation
Automated the process of filtering news related to the team's products
Details
Python Crawler Optimization
Optimized a Python crawler that initially relied entirely on Selenium, resulting in slow performance and frequent failures (over 50% error rate) without any error handling or notifications
Refactored parts of the crawler using Scrapy to improve speed and implemented an alerting system
Enhanced data collection methods and timing by incorporating server maintenance information and server-provided data
Reduced collection time by over 80%, from 3 hours to under 30 minutes
Automation of Manual Data Entry
Automated the manual entry of version information files, which was a repetitive task prone to errors due to its high volume
Decreased the time required for this task from over an hour to less than 10 minutes, significantly improving efficiency and requiring only a final review
News Crawler and Report Generation
Managed a news crawler that collected 100-200 news articles daily
Automated the process of filtering news related to the team's products by:
Collecting frequently used keywords from the titles of previously accumulated product-related news (updated periodically using a script)
Generating reports based on these keywords, eliminating the need for manual separation of relevant news