progs/scraper.scala
author Christian Urban <christian dot urban at kcl dot ac dot uk>
Fri, 27 Sep 2013 12:22:43 +0100
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// A Web-Scraper that extracts the daily Shanghai polution
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// data from the web-page
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//
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//   http://www.envir.gov.cn/eng/airep/index.asp
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//
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//
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// Important! They stopped providing this data in November
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// 2012, but kept the historical data since 2001. So dates
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// must be in that range.
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import java.io.OutputStreamWriter
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import java.net.URL
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import scala.io.Source.fromInputStream
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val url = new URL("http://www.envir.gov.cn/eng/airep/index.asp")
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//connecting to url
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val conn = url.openConnection
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conn.setRequestProperty("User-Agent", "")
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conn.setDoOutput(true)
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conn.connect
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//sending data
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val wr = new OutputStreamWriter(conn.getOutputStream())
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//possible date ranges
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wr.write("Fdate=2012-8-24&Tdate=2012-09-25")
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//wr.write("Fdate=2001-9-18&Tdate=2012-09-24")
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wr.flush
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wr.close
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//receiving data
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val page = fromInputStream(conn.getInputStream).getLines.mkString("\n")
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//data encoded as an HTML-string, which you can see with
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//println(page)
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// regular expression: excludes newlines, 
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// therefore we have to use [\S\s]
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val regex1 = """<tr align=\"center\">[\S\s]*?</tr>""".r
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val rows = regex1.findAllIn(page).toList
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//print(rows)
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val regex2 = """<td align=\"center\">([\S\s]*?)</td>""".r
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def aux(s: String) : Array[String] = {
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  for (m <- regex2.findAllIn(s).toArray) yield m match {
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    case regex2(value) => value.trim
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  }
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}
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//data completely extracted
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val data = rows.map { aux }
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//for comparing elements from an array
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def compare(i: Int)(e: Array[String], f: Array[String]) = e(i).toInt < f(i).toInt
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println("The day with highest particle pollution (PM_10)")
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println(data.sortWith(compare(1)).last.mkString(","))
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println("The day with highest sulfur dioxide (SO_2)")
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println(data.sortWith(compare(2)).last.mkString(","))
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println("The day with highest nitro dioxide (NO_2)")
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println(data.sortWith(compare(3)).last.mkString(","))
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println("The day(s) with highest PM_10")
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val groups1 = data.groupBy(_(1).toInt)
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val max_key1 = groups1.keySet.max
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println(groups1(max_key1).map(_.mkString(",")).mkString("\n"))
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println("The day(s) with highest SO_2")
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val groups2 = data.groupBy(_(2).toInt)
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val max_key2 = groups2.keySet.max
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println(groups2(max_key2).map(_.mkString(",")).mkString("\n"))
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println("The day(s) with highest NO_2")
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val groups3 = data.groupBy(_(3).toInt)
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val max_key3 = groups3.keySet.max
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println(groups3(max_key3).map(_.mkString(",")).mkString("\n"))