Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

Arrow left icon
Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Learning how to perform HTTP POST requests

A POST request is another very common HTTP server request used by many APIs. We will be mining the University of Virginia directory search. When sending a POST request for a search query, the Lightweight Directory Access Protocol (LDAP) server replies with a web page of search results.

Getting ready

For this recipe, access to the Internet is necessary.

Install the HandsomeSoup CSS selector package, and also install the HXT library if it is not already installed:

$ cabal install HandsomeSoup
$ cabal install hxt

How to do it...

  1. Import the following libraries:
    import Network.HTTP
    import Network.URI (parseURI)
    import Text.XML.HXT.Core
    import Text.HandsomeSoup
    import Data.Maybe (fromJust)
  2. Define the POST request specified by the directory search website. Depending on the server, the following POST request details would be different. Refer to the following code snippet:
    myRequestURL = "http://www.virginia.edu/cgi-local/ldapweb"
    
    myRequest :: String -> Request_String
    myRequest query = Request { 
        rqURI = fromJust $ parseURI myRequestURL
      , rqMethod = POST
      , rqHeaders = [ mkHeader HdrContentType "text/html"
                    , mkHeader HdrContentLength $ show $ length body ]
      , rqBody = body
      }
      where body = "whitepages=" ++ query
  3. Define and implement main to run the POST request on a query as follows:
    main :: IO ()
    main = do
      response <- simpleHTTP $ myRequest "poon"
  4. Gather the HTML and parse it:
      html <- getResponseBody response
      let doc = readString [withParseHTML yes, withWarnings no] html
  5. Find the table rows and print it out using the following:
      rows <- runX $ doc >>> css "td" //> getText
      print rows

Running the code will display all search results relating to "poon", such as "Poonam" or "Witherspoon".

How it works...

A POST request needs the specified URI, headers, and body. By filling out a Request data type, it can be used to establish a server request.

See also

Refer to the Understanding how to perform HTTP GET requests recipe for details on how to perform a GET request instead.

You have been reading a chapter from
Haskell Data Analysis cookbook
Published in: Jun 2014
Publisher:
ISBN-13: 9781783286331
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime