text-extraction

I need to extract headings and the chunk of text beneath them from a text file in Python using regular expression but I'm finding it difficult. I converted this PDF to text so that it now looks like this: So far I have been able to get all the numerical headers (12.4.5.4, 12.4.5.6, 13, 13.1, 13.1.1, 13.1.12) using the following regex: import re with open('data/single.txt', encoding='UTF-8') as file: for line in file: headings = re.findall(r'^\d+(?:\.\d+)*\.?', line) print(headings)` I just don't know how to get the worded part of those headings or the paragraph of text beneath them. EDIT -

Is there an (unobtrusive, to the user) way to get all the text in a page with Javascript? I could get the HTML, parse it, remove all tags, etc, but I'm wondering if there's a way to get the text from the alread rendered page. To clarify, I don't want to grab text from a selection, I want the entire page. Thank you! All credit to Greg W's answer , as I based this answer on his code, but I found that for a website without inline style or script tags it was generally simpler to use: var theText = $('body').text(); as this grabs all text in all tags without one having to manually set every tag

I want to look for © in an HTML document, and basically get the entity the copyright is attributed to. The copyright line shows up a couple of different ways: <p class="bg-copy">© 2011 The New York Times Company</p> or <a href="http://www.nytimes.com/ref/membercenter/help/copyright.html"> © 2011</a> <a href="http://www.nytco.com/">The New York Times Company</a> or <br>Published since 1996<br>Copyright © CounterPunch<br> All rights reserved.<br> I want to ignore the dates and intervening tags and just get "The New York Times Company" or "Counterpunch". I haven't been able to find much on using

I have a .dat file containing 6 columns of N numbers like so: -4.997740e-01 -1.164187e+00 3.838383e-01 6.395961e+01 -1.938013e+02 -4.310365e-02 -1.822405e+00 4.470735e-01 -2.691410e-01 -8.528020e+01 -1.358874e+02 -7.072167e-01 9.932887e-01 -2.157249e+00 -2.303825e+00 -5.508925e+01 -3.548236e+02 1.250405e+00 -1.871123e+00 1.505421e-01 -6.550555e-01 -3.254452e+02 -5.501001e+01 8.776851e-01 1.370605e+00 -1.028076e+00 -1.137059e+00 6.096598e+01 -4.472264e+02 -1.268752e+00 ............ ............ ............ ............ ........... ........... I want to write a code in C language where I

I am using PyPDF2 to read PDF files in python. While it works well for languages in English and European languages (with alphabets in english), the library fails to read Asian languages like Japanese and Chinese. I tried encode('utf-8') , decode('utf-8') but nothing seems to work. It just prints a blank string on extraction of the text. I have tried other libraries like textract and PDFMiner but no success yet. When I copy the text from PDF and paste it on a notebook, the characters turn into some random format text (probably in a different encoding). def convert_pdf_to_text(filename): text =

What would be a good tool, or set of tools, to download a list of URLs and extract only the text content? Spidering is not required, but control over the download file names, and threading would be a bonus. The platform is linux. dsm wget | html2ascii Note: html2ascii can also be called html2a or html2text (and I wasn't able to find a proper man page on the net for it). See also: lynx . Python Beautiful Soup allows you to build a nice extractor. I know that w3m can be used to render an html document and put the text content in a textfile w3m www.google.com > file.txt for example. For the