I would like to do some analysis on some properties listed in an upcoming auction. Unfortunately, the city running the auction does not publish the information in a structured f
After mucking around with this for 3 hours, I was able to create a parseable XML document from the data. Unfortunately, I was unsuccessful with putting together a completely reusable set of steps that I can use for future auctions publications.
As an aside, I did attempt to call and ask Los Angeles County if they could provide an alternative format of the properties up for auction (excel, etc) and the answer was no. That's government for you.
Here's a high-level view of my approach:
I used http://xmlbeautifier.com/ as my XML beautifier / validator because it was fast and it gave accurate error reporting, including line numbers.
Use Homebrew to install Poppler for Mac:
brew install poppler
After Poppler is installed, you should have access to the pdftotext utility to convert the PDF:
pdftotext -layout -f 24 -l 687 AuctionBook2013.pdf auction_book.txt
Here's a preview of the XML (Click here for full XML):
<?xml version="1.0" encoding="UTF-8"?>
<listings>
<item id="1">
<nsb>536</nsb>
<minbid>3,422</minbid>
<apn>2006 003 001</apn>
<delinquent_year>03</delinquent_year>
<apn_old>2006 003 001</apn_old>
<description>LICENSED SURVEYOR'S MAP
AS PER BK 25 PG 28 OF L S LOT 1
BLK 1 ASSESSED TO J AND S
LIMITED LLC C/O DUNA CSARDAS -
JULIUS JANCSO LOCATION COUNTY OF
LOS ANGELES</description>
<address>VACANT LOT</address>
</item>
Edit: Adding the Ruby I wrote to convert the XML to a CSV.
require 'rexml/document'
require 'CSV'
class Auction
def initialize
f = File.new('AuctionBook2013.xml', 'r')
doc = REXML::Document.new(f)
CSV.open("auction.csv", "w+b") do |csv|
csv << ['id', 'minbid', 'apn', 'delinquent_year', 'apn_old', 'description', 'address']
doc.elements.each('/listings/item') do |item|
csv << [item.attributes['id'],
item.elements['minbid'].text,
item.elements['apn'].text,
item.elements['delinquent_year'].text,
item.elements['apn_old'].text,
item.elements['description'].text,
item.elements['address'].text]
end
end
end
end
a = Auction.new()
Link to Final CSV
Convert to text with Xpdf using command pdftotext
.
I converted your file with the following:
pdftottext.exe -layout -f 23 -l 510 AuctionBook2013.pdf AuctionBook2013.txt
This conversion leaves text exactly in its original layout (due to -layout
option). Options -f
and -l
indicate the first and last page numbers of the range of pages to extract.
From there, parsing should be simple -- a number in column 8 indicates the first line of a record, a blank line ends the record. Follow the guide for the exact positioning of elements within a record.