Is it possible to use pandas to scrape html tables over multiple web pages?
Another idea would be to use BeautifulSoup library first and get all the table elements from a webpage and then apply pd.read_html()
I'm looking for ways to scrape all tables on a certain website. The tables are formatted exactly the same in all subpages. The problem is, the urls of those subpages are in this way:
url1 = 'http.../Tom',
url2 = 'http.../Mary',
url3 = 'http.../Jason', such that I cannot set a loop by altering the url incrementally. Are there any possible ways to solve this by pandas?