Personalized content from all over the web
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Is all the information on the internet overwhelming for you and you need to dig through tons of pages to find something that interests you?
Then Findory is for you. This Seattle, Washington based tiny startup company has created a personalization technology that builds a home page for each reader, recommending content based on what each person has read and what new content is published. They do the heavy lifting by crawling through the web and gathering content which suits your taste.
They also provide API to access their data by making parameterized URL requests over HTTP (REST). The results are returned in RSS format. The API specifications are as follows:
Specification
The API requires a base URL
http://rss.findory.com/rss/[Product][/Category]
where Product is one of {News, Blogs, Video, Podcasts, Favorites} and Category is an optional parameter where the category varies by product line (see the RSS Feeds page for a list).
The base URL can be followed by these optional parameters:
| uid= | Personalize the feed to a specific user. Your UID can be obtained from the RSS Feeds page. |
| q= | A keyword search for the string following the parameter. |
| source= | Recent articles for a source. The source’s name must exactly match the one used in Findory’s database. |
| ras= | Related articles for the named source. |
| history= | A boolean (e.g. “1″) indicating a request for the reading history. Must be combined with a uid. |
| article_id= | Related articles for the given article id. The article id should be one taken from a previous Findory API call. |
| noland= | A boolean (e.g. “1″) to force the links in the feed to redirect immediately to the article rather than first going to our landing page. |
Some interesting examples of API usage are:
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