I wanted to tag all of my posts on my wordpress blog with 1750 posts. I started researching how it could be automated. The first problem was to access all of the content. Blogs hosted on wordpress have sitemaps of all published posts and pages at /sitemap.xml. Using LINQ, I was able to go through each page and download a copy to my hard drive.I wanted to get the raw data of the original post, including metadata. For this, I found a few API's built upon the XML-RPC.Net platform. XML-RPC for dot net came with a few interaces including Blogger API, MetaWeblog API, and Movable Type API. Wordpress supports a combination of the various API's, and extends them.I noticed that I needed to hard-code the API endpoints. Some methods were supposed to be available to set the URL, but the author forgot to inherit the IXmlRpcProxy on both IMetaWeblog and IBlogger. I added it and this got me up and running to get some posts. The methods available only provide a way to get the most recent posts (no paging). When I attempted to get all of my posts, I got exceptions. I found that I could parse the identification of my posts with a regular expression against the HTML content that saved to my local hard drive. I was able to directly access individual posts by their ID.I ran into problems with enclosures (podcast audio files). I tracked the problem down to an error on a bad implimentation of the MetaWeblog API by wordpress itself. The file length is supposed to be an integer, representing the number of bytes. It is returned as a string. I changed the interface so that the length of enclosures is treated as a string.After that, I started to have a new problem. None of the data included any tagging information. I got down to bypassing the Xml-Rpc library and making a direct call with a WebClient to fetch a known page with tags. The response not only included the basic structure defined in the MetaWeblog API interface, but it included a ton more fields, including mt_keywords. With this new knowledge, I was able to add the following fields:mt_keywordswp_slugwp_passwordwp_author_idwp_author_display_namedate_created_gmtpost_statuscustom_fieldsstickyThe custom fields introduced a new structure as well with id, key, and value fields. Each field was a string except for sticky (a boolean), and the date created in GMT (a date). Armed with this updated interface, I was able to download all of my posts once more and serialize them as xml to be saved on my local hard disk. I had some nice caching built in to load up the serialized xml objects as a cache rather than hit against the website. I did this for other files as well including the html, but that was saved as raw html rather than as an object.I now had a list of all published links in my site, and the serialized data for each published post. The next trick was to automate the keyword extraction. For this, I used Yahoo! with the content analysis API for Term Extraction. You can try this out for yourself without needing to learn how to program by copy & paste text into the form provided at Yahoo! Keyword Phrase Term Extraction Form on SEO Tools (Search Engine Optimization). In fact, I had originally used this form to discover keywords for a few of my posts before venturing out to find an automated solution.I signed up for an application id and started going to work. Since I was limited to 5000 request per day, and my blog had almost 2000 posts, I decided to cache the results of the keywords for each post as well so that I didn't hit it twice for the same content. I soon had a full list of keywords for the entire site.The keywords were unfiltered and unbiased. After merging keywords with existing ones on each post, I decided to refine them. I first started by creating a dictionary to hold the count of each keyword used across the site and then used LINQ to sort the end-results by the values.var qTags = from tag in TAGS orderby tag.Value descending select tag;foreach (var tag in qTags)Debug.WriteLine(tag.Value, tag.Key);I often found partial names of people I knew, such as "crap" or "mariner". To prevent things from looking vulgar, and to keep people from thinking that I talk about fecal matter, I transformed the tags into the first/last names. (i.e. "crap" becomes "crap mariner") I was also careful to remove references to the Lindens or their product to make an effort to avoid copyright infringement. Other tags were very generic, and so I removed them as well.The end result was a post that was ready to be updated. I made a few test runs first, and saw that my results were turning out great. The update calls seem to take quite a bit of time actually and may run for the entire night.

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