Urgent Three Site Data Scrape

I need every piece of publicly available data pulled from three separate websites and packaged so I can work with it offline. The moment the contract is awarded I’ll hand you the URLs; from there I expect you to spin up an automated solution—Python with Scrapy, BeautifulSoup, Selenium, or a comparable stack—that captures all records, follows pagination, and handles any lazy-loaded content.

Time is tight: the full job must be wrapped up within 3 calendar days. My total budget is fixed at US $300, so please be sure your approach fits comfortably inside that limit.

Deliverables
• A clean, well-structured file for each site (CSV or Excel, whichever you prefer) containing every scraped field.
• The runnable scripts or notebooks you used, clearly commented so I can repeat the scrape later.
• A brief read-me outlining the steps you took and the columns you produced.

I will verify counts and spot-check against the live sites; accuracy has to be 100 %. I’m online and ready to review first samples within 24 hours of kick-off, so if you can start immediately and beat the 3-day window, let’s get moving.

DO NOT BID IF YOU ARE NOT POSSIBLE WITHIN 3DAYS AND WITH THAT BUDGET.