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Weird question. The trouble with web automation tools such as Selenium and beautiful soup is that they require specific instructions to parse html. So it's difficult to auto scrape websites if several websites have a different html layout or any website simply decides to change it's html. Would it be possible to create a neural network model that could be trained to parse html as a human would? Or an AI for that matter that could break Google's captcha. I'm surprised that that still works given the advances in image recognition. If both are possible, the security on the web may quickly become a thing of the past.



https://www.adept.ai/act

You can combine traditional RPA with modern ML and do very interesting things.




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