Web-scrape using Python

1. The task is to write a Python script that will pull out tabular data from the following url: [login to view URL] 2. Notice here, the url has multiple pages (page=1). The script should be able to pull tables from all the pages listed under the url 3. The table has 6 different columns: Name, Symbol, Market Cap, Country, IPO and Subsector and several filters to the left. I'm interested in getting all the Filters i.e. Exchange, Region, Industry and Market Cap 4. The final table should lists all stocks across the entire website classified by "Exchange" and will have the following columns: Exchange, Region, Name, Symbol, Market Cap, Country, IPO, Subsector and Industry 5. The result will be saved as an Excel file to the following path: C:\Users\Username\Documents\Stock Market Data