Python Web3 Data Scraper

I need a clean, well-documented Python script that automates web scraping and feeds the harvested data directly into a Web3-friendly format. The core requirement is simple: pull the content I specify, process it reliably, then make it immediately usable inside a Web3 workflow rather than the typical CSV, JSON, or Excel drop-outs.

Key points you should know up front:
• The task is strictly web scraping—no data analysis or dashboard work for now.
• Python is mandatory; feel free to lean on libraries such as Requests, BeautifulSoup, Selenium, Scrapy, or Web3.py where appropriate.
• The output must integrate with Web3: if that means producing ABI-compatible JSON, pushing to IPFS, or preparing a contract-ready payload, structure the code so I can plug it straight into a blockchain interaction layer.
• Code should be organised, commented, and runnable from a single command. Supply any environment or requirements.txt details so setup is painless on my end.

On delivery I will test the scraper against a target URL list, confirm the Web3 output is correctly formatted, and run a quick code review. Once everything passes, the milestone is complete.