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Editorial Team
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Asked: 2026-05-11T20:24:21+00:00

I’m still stuck on my problem of trying to parse articles from wikipedia. Actually

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I’m still stuck on my problem of trying to parse articles from wikipedia. Actually I wish to parse the infobox section of articles from wikipedia i.e. my application has references to countries and on each country page I would like to be able to show the infobox which is on corresponding wikipedia article of that country. I’m using php here – I would greatly appreciate it if anyone has any code snippets or advice on what should I be doing here.

Thanks again.

EDIT

Well I have a db table with names of countries. And I have a script that takes a country and shows its details. I would like to grab the infobox – the blue box with all country details images etc as it is from wikipedia and show it on my page. I would like to know a really simple and easy way to do that – or have a script that just downloads the information of the infobox to a local remote system which I could access myself later on. I mean I’m open to ideas here – except that the end result I want is to see the infobox on my page – of course with a little Content by Wikipedia link at the bottom 🙂

EDIT

I think I found what I was looking for on http://infochimps.org – they got loads of datasets in I think the YAML language. I can use this information straight up as it is but I would need a way to constantly update this information from wikipedia now and then although I believe infoboxes rarely change especially o countries unless some nation decides to change their capital city or so.

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1 Answer

  1. Editorial Team

    I suggest performing a WebRequest against wikipedia. From there you will have the page and you can simply parse or query out the data that you need using a regex, character crawl, or some other form that you are familiar with. Essentially a screen scrape!

    EDIT – I would add to this answer that you can use HtmlAgilityPack for those in C# land. For PHP it looks like SimpleHtmlDom. Having said that it looks like Wikipedia has a more than adequate API. This question probably answers your needs best:

    Is there a Wikipedia API?

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