Thank you so much for your very valuable guidance on my python experiment. Meanwhile the problems I reported before have been solved.
This is part of a program that extracts specific information from bank transaction records, and one functionality I still need to implement is a *web scraper*: The eureka / guide <https://www.edureka.co/blog/web-scraping-with-python/> "web scraping with python" provides some insights, that are however linked to a specific website: by associating the "inspected" web page with the code shown in the Eureka page, one can build the algorithm, but can it be generalized? Not all tags are in the form of <a class ---> <div class, so is it doable to just replace those tags in the code, should one process a different website? In addition, the flipkart website <https://www.flipkart.com/laptops/~buyback-guarantee-on-laptops-/pr?sid=6bo%2Cb5g&uniqBStoreParam1=val1&wid=11.productCard.PMU_V2> contains all the needed data, while my case requires a lookup of one item at a time, namely: (i) loop over a bunch of ISIN codes (ii) access a specific website (=morningstar?), that does the ISIN-to-fund-name translation (iii) "inspect" that page containing the result and grab the fund name. I would appreciate any advice on how to program all this. Thanks. -- Regards, Joseph Pareti - Artificial Intelligence consultant Joseph Pareti's AI Consulting Services https://www.joepareti54-ai.com/ cell +49 1520 1600 209 cell +39 339 797 0644 -- https://mail.python.org/mailman/listinfo/python-list
