Automated Public Records Scraper

I will share a concise PDF that spells out the target URLs, the search logic, and the specific record fields I need. Your job is to turn those written steps into a lightweight, fully automated research tool that fetches web data—more precisely public records—and saves everything in clean JSON.

Here’s the workflow I have in mind: the script reads the parameters from the PDF, visits each listed source, navigates any simple pagination, extracts the designated fields, and writes them to a single JSON file per run. A quick command-line invocation (“python main.py” or similar) is all I want to trigger the entire process.

Deliverables
• Complete, well-commented source code
• A sample JSON output generated from a short test run
• A brief README with setup instructions, dependencies, and any runtime flags

Acceptance criteria
• Matches every extraction rule and field name outlined in the PDF
• Runs on Windows, macOS, and Linux without edits (virtualenv or container is fine)
• Respects polite scraping practices—rate limiting and robots.txt compliance

Python with requests/BeautifulSoup or Scrapy is preferred, but I’m open to Node or Go if you make setup effortless. No UI is required; speed and accuracy are the priorities.