Automated Funding Eligibility Scraper

Budget: $750 - $1500

I need a fast, reliable bot that can visit a public website, enter 600,000-800,000 unique street addresses into its built-in search tools, and capture the site’s verdict on whether each address qualifies for funding according to the criteria already laid out on that site. The page itself decides the pass/fail outcome, so your script simply has to submit the address, read the result field, and record it—nothing more complex than interpreting the website’s own ruling.

Speed and stability matter. Ideally, the run completes in days, not months,. I am comfortable with solutions built in Python (Selenium, Playwright, or similar), but if you prefer another stack that can deliver the same throughput I’m open to it. Headless browsing, smart throttling, and graceful error handling are essential so the job can run unattended on a cloud VM.

Deliverables: • A fully commented script or small application that accepts a CSV of addresses and outputs a CSV of the original address plus the website’s qualification result. • Clear setup instructions and any dependency list or requirements.txt. • A brief log or progress indicator so I can monitor large batches while they run. • Final hand-off call or document confirming the scrape completed end-to-end on at least one test batch.

Acceptance criteria: when I supply a sample of 10,000 addresses, the bot should return at least 99 % of them with the same qualification status I see when I check manually, and it should do so without the website blocking further requests.

If you have questions about the site’s structure or need to see the form in action before quoting, let me know and I’ll share the URL privately.