Scrape a Website section : Python Scrapy/Beautifulsoup + requests/BS4+selenium

Hello, I need help in crawling a website’s particular link recursively (ASP pages). There is a table on each page which needs to be parsed and dumped into csv/excel along with the hierarchy information. I need the scripts in Python. You can use scrapy/selenium + beautifulsoup. I would need the script along with documentation for the key sections. Background: Recursive crawling needs to be done on particular html tags <links> and go deeper. The embedded links are themselves ASP pages.. with post calls similar to <href="javascript:__doPostBack('ctl00$Cor1$gvAatt$ctl2$btApNo1','')> and not static urls. Hierarchy structure will be as per below. Level1: 12 <static links> Level2 (within Level1): Within each static ~40 to 80 <ASP post calls>links Level 3 (within each Level2): ~50 links <ASP post calls> Level 4( within each level3): ~50 links <ASP Post calls On Each page there will be a table with a) Header b) Sub header c) 8 to 9 columns < this needs to be identified> Each of a/b/c needs to be dumped in a csv/excel. Further since there are recursive calls, hence the recursion levels also need to captured in columns in the csv <for recreating the data hierarchy>. Let me know if you are interested, time frame and cost/charges for doing the complete project. Website link will be shared post initial interest phase. There will be followup projects in scraping post this initial project.