Python Web Scraping Specialist for DLA/DoD Solicitations

I’m looking for an experienced Python developer who can build an automated workflow that pulls government solicitations and filters them based on specific criteria, especially solicitations that have online pricing available. This role requires someone who understands web scraping, APIs, data parsing, and automation, ideally with someone who understands DIBBS, DLA, or other federal procurement portals. Scope of Work 1. Build Automated Solicitation Retrieval Create a Python script that automatically pulls new solicitations from: DIBBS / DLA Internet Bid Board System Allow filtering by: FSC/PSC codes Delivery Date posted 2. Identify Solicitations With Online Pricing Build logic to detect solicitations that: Include online pricing Include competitive historical pricing Include NSN‑level price history Include automated quote functionality Extract and store: Item description Part Number NSN Quantity Online price Cage Code Vendor pricing links 3. Data Output & Organization Deliver results in: CSV Excel Google Sheets Include fields such as: Solicitation number Agency Deadline NSN Online price Link to solicitation Link to pricing 4. Automation & Scheduling Set up automatic daily or hourly pulls 5. Documentation Provide clear instructions on: How to run the script How to update filters How to add new portals or pricing sources