ivktac/aboba

AI Summary: Extract job skills and responsibilities from job postings scraped from dou.ua. This involves choosing between building a custom regex-based parser or integrating an AI solution (like OpenAI) for text analysis and summarization. The extracted data needs to be stored in a database (either new fields or a new table). Bonus points for identifying irrelevant or low-quality job postings.

AI Summary: Decide whether to filter job vacancies during the scraping process or after storing all data in a database. This involves evaluating the trade-offs between processing time and storage space for a web scraper targeting dou.ua.

AI Summary: Extend the existing web scraper to include support for additional job websites (work.ua, robota.ua, LinkedIn, and Djinni). This may involve creating modular parsers and a normalized data model for consistent output. Consider using feature flags to manage which scrapers are active.