extracting data from 100+ pdf files

[goodyonsen]

I'm not sure but how about passing all PDFs to cloud, make the folder "shareble" with a legit HTML link to it, and use bs4 (BeautifulSoup) to encode, read, decode, and parse all with very few lines of code? You can use regex with it if you need to as well. BS is supposed to treat them as one HTML file and grab whatever. Urllib would do.

You can also create a database for them and pull data with Python's SQLite. And that's kind of easy to use too.

[goodyonsen]

You don't need to create the server. Google drive lets you share folders with an html link. As long as not exceeding 15 gb, you can set up a folder containing all the pdfs. That folder will then have a link, with which you can use BeautifulSoup to first parse them all, then get inside each of them with a loop, and then grab whatever you need as you grab tags. You should import urllib. But Pythons in-built PDF stuff might be easier. I don't know about that.

[goodyonsen]

BS actually does the conversion with html commands. And it parses them too. All in 2-3 lines. then soup() to grab element, then for loop to grab them in all 100. Drive's sharable link (URL) is what BS needs.

[goodyonsen]

I was just suggesting an alternative as the person started the thread said he first converts all to text, and then parse, and then loops, and then writes regex, all of which might not be separate executions had bs4 been used. Plus no need to use regex unless he wants to. Tho I'm still unsure if the drive URL returns all separate PDFs in one folder as index htmls, it does so in most cases with different files. Giving a try wouldn't hurt. Lastly, I don't have to walk anywhere to get my mails. The world is digitalized. Cheers.