Refactor FedEx, Goodyear, HCL Technologies, and Inetum scrapers

[lalalaurentiu]

This pull request refactors and improves the job scraping scripts for several companies, focusing on simplifying HTTP requests, improving city/county normalization, and enhancing the robustness and maintainability of the code. The most important changes are grouped below by theme.

Refactoring and Simplification of HTTP Requests:

• Replaced custom Scraper class usage with direct requests library calls in hcltechnologies.py and inetum.py, streamlining HTTP requests and making the code more standard and maintainable. [1] [2]
• Updated the fedex.py script to use a session with an initial GET request to set cookies, followed by paginated POST requests to fetch job data, cleaning up redundant code and improving reliability.

City and County Normalization Improvements:

• Introduced a normalize_city helper in fedex.py to standardize city/county extraction, with special handling for "Judetul Cluj" and "Bucharest" cases.
• In inetum.py, improved city and county extraction from job location text, including special handling for Bucharest and remote/hybrid job types.
• Added explicit city and county assignment for Goodyear jobs in Bucharest.

Job Data Structuring and Robustness:

• Standardized the structure of job entries across scripts, ensuring consistent inclusion of fields like city, county, and remote. [1] [2] [3] [4]
• Improved handling of missing or malformed data, such as defaulting to empty lists or fallback values if certain fields are absent. [1] [2] [3]

Code Cleanup:

• Removed unused imports, redundant variables, and legacy code, resulting in cleaner and more readable scripts. [1] [2] [3]

Pagination and Performance Enhancements:

• Improved pagination logic for fetching job listings in fedex.py and hcltechnologies.py, ensuring all available jobs are retrieved efficiently. [1] [2]