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Column 1 | Column 2 | Address | Price | Bed | Bath | Area | Column 8 | Column 9 | Column 10 | Column 11 | origin_pattern | origin_url | createdAt | updatedAt | pingedAt |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
$583,000 | 205 - 459 Kerr St, Oakville, ON | $583,000 | 2 Bed | 2 Bath | 800–899 sqft | 205 - 459 Kerr St, Oakville, ON | 2 Bed | $583,000 | https://www.zoocasa.com/search | https://www.zoocasa.com/search | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | ||
Listed price in listed location currency (CAD), $650,000 | $650,000 | 328 - 102 Grovewood Common, Oakville, ON | $650,000 | 2 Bed | 2 Bath | 700–799 sqft | 328 - 102 Grovewood Common, Oakville, ON | 2 Bed | $650,000 | https://www.zoocasa.com/search | https://www.zoocasa.com/search | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | |
$670,000 | 909 - 2391 Central Park Dr, Oakville, ON | $670,000 | 2 Bed | 2 Bath | 800–899 sqft | 909 - 2391 Central Park Dr, Oakville, ON | 2 Bed | $670,000 | https://www.zoocasa.com/search | https://www.zoocasa.com/search | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | ||
$730,000 | 220 - 95 Dundas St W, Oakville, ON | $730,000 | 2 Bed | 2 Bath | 800–899 sqft | 220 - 95 Dundas St W, Oakville, ON | 2 Bed | $730,000 | https://www.zoocasa.com/search | https://www.zoocasa.com/search | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | ||
$743,000 | 109 - 102 Grovewood Common, Oakville, ON | $743,000 | 2 Bed | 2 Bath | 900–999 sqft | 109 - 102 Grovewood Common, Oakville, ON | 2 Bed | $743,000 | https://www.zoocasa.com/search | https://www.zoocasa.com/search | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | ||
$760,000 | 211 - 3078 Sixth Line, Oakville, ON | $760,000 | 2 Bed | 2 Bath | 900–999 sqft | 211 - 3078 Sixth Line, Oakville, ON | 2 Bed | $760,000 | https://www.zoocasa.com/search | https://www.zoocasa.com/search | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | ||
$847,000 | 36 - 1158 Klarecroft Way, Oakville, ON | $847,000 | 3 Bed | 3 Bath | 1200–1399 sqft | 36 - 1158 Klarecroft Way, Oakville, ON | 3 Bed | $847,000 | https://www.zoocasa.com/search | https://www.zoocasa.com/search | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | ||
$965,000 | 34 - 1135 Mccraney St E, Oakville, ON | $965,000 | 3 Bed | 2 Bath | 1400–1599 sqft | 34 - 1135 Mccraney St E, Oakville, ON | 3 Bed | $965,000 | https://www.zoocasa.com/search | https://www.zoocasa.com/search | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC | 2024-01-30 03:21:45 UTC |
Sample code snippets to quickly import data set into your application
For more information on how to automatically trigger an import please reference our WebHook API guide
Integrating with Java
import java.io.BufferedReader; import java.io.InputStreamReader; import java.net.URL; import java.net.URLConnection; import java.util.Arrays; public class HelloWorld { public static void main(String[] args) { try { URL urlCSV = new URL( "https://cache.getdata.io/n128283_ba05fde1e7e0d31140e878bb1673a73eeses/latest_all.csv" ); URLConnection urlConn = urlCSV.openConnection(); InputStreamReader inputCSV = new InputStreamReader( ((URLConnection) urlConn).getInputStream() ); BufferedReader br = new BufferedReader(inputCSV); String line; String[] fields; while ((line = br.readLine()) != null) { // Each row fields = line.split(","); System.out.println(Arrays.toString(fields)); } // clean up buffered reader br.close(); } catch (Exception e) { System.out.println(e.getMessage()); } } }
Integrating with NodeJs
const csv = require('csv-parser'); const https = require('https'); const fs = require('fs'); const file = fs.createWriteStream("temp_download.csv"); const request = https.get( "https://cache.getdata.io/n128283_ba05fde1e7e0d31140e878bb1673a73eeses/latest_all.csv", function(response) { response.pipe(file); } ); file.on('finish', function() { file.close(); fs.createReadStream('temp_download.csv').pipe(csv()).on('data', (row) => { // Each row console.log(row); }).on('end', () => { console.log('CSV file successfully processed'); }); });
Integrating with PHP
$data = file_get_contents("https://cache.getdata.io/n128283_ba05fde1e7e0d31140e878bb1673a73eeses/latest_all.csv"); $rows = explode("\n",$data); $s = array(); foreach($rows as $row) { # Each row var_dump( $row); }
Integrating with Python
import csv import urllib2 url = 'https://cache.getdata.io/n128283_ba05fde1e7e0d31140e878bb1673a73eeses/latest_all.csv' response = urllib2.urlopen(url) cr = csv.reader(response) for row in cr: # Each row print row
Integrating with Ruby
require 'open-uri' require 'tempfile' require 'csv' temp_file = Tempfile.new( "getdata", :encoding => 'ascii-8bit') temp_file << open("https://cache.getdata.io/n128283_ba05fde1e7e0d31140e878bb1673a73eeses/latest_all.csv").read temp_file.rewind CSV.foreach( open(uri), :headers => :first_row ).each do |row| # Each row puts row end