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Home/ Questions/Q 536515
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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T09:49:47+00:00 2026-05-13T09:49:47+00:00

I’m experimenting a bit with textual comparison/basic plagiarism detection, and want to try this

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I’m experimenting a bit with textual comparison/basic plagiarism detection, and want to try this on a website-to-website basis. However, I’m a bit stuck in finding a proper way to process the text.

How would you process and compare the content of two websites for plagiarism?

I’m thinking something like this pseudo-code:

// extract text
foreach website in websites
  crawl website - store structure so pages are only scanned once
  extract text blocks from all pages - store this is in list

// compare      
foreach text in website1.textlist
  compare with all text in website2.textlist

I realize that this solution could very quickly accumulate a lot of data, so it might only be possible to make it work with very small websites.

I haven’t decided on the actual text comparison algorithm yet, but right now I’m more interested in getting the actual process algorithm working first.

I’m thinking it would be a good idea to extract all text as individual text pieces (from paragraphs, tables, headers and so on), as text can move around on pages.

I’m implementing this in C# (maybe ASP.NET).

I’m very interested in any input or advice you might have, so please shoot! 🙂

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  1. Editorial Team
    Editorial Team
    2026-05-13T09:49:47+00:00Added an answer on May 13, 2026 at 9:49 am

    My approach to this problem would be to google for specific, fairly unique blocks of text whose copyright you are trying to protect.

    Having said that, if you want to build your own solution, here are some comments:

    • Respect robots.txt. If they have marked the site as do-not-crawl, chances are they are not trying to profit from your content anyway.
    • You will need to refresh the site structure you have stored from time-to-time as websites change.
    • You will need to properly separate text from HTML tags and JavaScript.
    • You will essentially need to do a full text search in the entire text of the page (with tags/Script removed) for the text you wish to protect. There are good, published algorithms for this.
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