This pull request updates several company-specific job scraper scripts to use more modern and robust APIs, improves consistency in request formatting, and simplifies the extraction logic. The changes primarily focus on switching to JSON-based POST requests, updating endpoints, and cleaning up or refactoring the parsing logic for job listings.

API and Endpoint Updates:

• sites/atkinsrealis.py: Switched from scraping HTML pages to using a JSON-based POST API (https://slihrms.wd3.myworkdayjobs.com/wday/cxs/slihrms/Careers/jobs). The script now paginates using the API's offset and limit fields and extracts job data directly from the JSON response, simplifying the code and improving reliability.
• sites/hcltechnologies.py: Migrated from scraping HTML to using the official recruiting API endpoint (https://careers.hcltech.com/services/recruiting/v1/jobs) with JSON payloads. The code now fetches and paginates jobs using the API, removing complex HTML parsing and city/county translation logic.
• sites/hm.py: Updated the job search request to use a JSON POST with correct headers and a more targeted payload for Romania jobs, improving accuracy and reliability.

Request Formatting and Consistency:

• sites/goodyear.py: Adjusted the order of location IDs in the post_data payload for consistency and corrected the logic for extracting the remote field from job data. [1] [2]
• sites/hm.py: Added proper request headers (Content-Type and User-Agent) for the POST request to ensure compatibility with the API.

Code Simplification and Cleanup:

• sites/atkinsrealis.py & sites/hcltechnologies.py: Removed unused imports and legacy code related to HTML parsing, city/county translation, and manual pagination, resulting in cleaner and more maintainable scripts. [1] [2]

These changes collectively modernize the scrapers, making them more robust against website changes and easier to maintain.