Optimize Python Web Scraper - Expert

I'm seeking an experienced Python developer to review and enhance my existing web scraping code. The current setup scrapes text data from financial institutions' websites and feeds it into a GenAI model. However, I'm encountering restrictions that hinder data extraction.

Requirements:
- Review current code
- Suggest and implement better scraping methods
- Maintain or improve data accuracy and efficiency
- Ensure compliance with website terms of service

Skills and Experience:
- Proficient in Python
- Expertise in web scraping (BeautifulSoup, Scrapy, etc.)
- Familiarity with browser automation (Selenium)
- Experience with handling IP rotation and proxies
- Knowledge of financial websites is a plus

Deliverables:
- Revised, optimized scraping code
- Documentation of changes and improvements
- Recommendations for future maintenance and scalability

More details:
I already have a Python code, which will scrape the data from the websites and feed the data for GenAI to extract the information. I have used multiple options (fallback) to scrape the data, some times due to restrictions from banks' sites, I am not able to extract the content from the websites.

I want to explore an export option to review the code and determine if there is a better way to extract / scrape the data.