
In April 2025, Dalia Azzoug developed the France Travail API Job Scraper feature for the DS2E2025CP/bot_discord repository, establishing a foundational tool for automated job offer retrieval. She implemented Python scripting to handle access token acquisition, location and keyword-based search, and an interactive prompt for displaying results. Leveraging her skills in API integration and web scraping, Dalia created a scalable base that enables programmatic market data collection and supports future enhancements. While the work focused on a single feature over one month, it demonstrated depth in designing a modular, extensible system for efficient job data extraction and user interaction.

In April 2025, delivered the France Travail API Job Scraper feature for the bot_discord repository, establishing a base for programmatic retrieval of job offers from the France Travail API. The implementation includes token retrieval, location/keyword search, and an interactive prompt that outputs search results. This foundation enables automated market data collection, faster insights for users, and scalable future enhancements.
In April 2025, delivered the France Travail API Job Scraper feature for the bot_discord repository, establishing a base for programmatic retrieval of job offers from the France Travail API. The implementation includes token retrieval, location/keyword search, and an interactive prompt that outputs search results. This foundation enables automated market data collection, faster insights for users, and scalable future enhancements.
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