Sarawak Data

Types of Land Titles in Sarawak, as at 31 March 2020

Types of Land Titles in Sarawak

Source	Types of Land Titles in Sarawak
URL	https://data.sarawak.gov.my/home/data/resource_download/898
Description	Types of Land Titles in Sarawak, as at 31 March 2020 for Kuching, Sri Aman, Sibu, Miri, Limbang, Sarikei, Kapit, Samarahan, Bintulu, Mukah, Betong and Serian.
Format	XLSX
File Size	10 KB
Downloads	0
Package ID	71f3ec90-6662-42df-88a9-9a1615bfcbfa
Resource ID	47573dd5-320d-4778-8745-ceb8df1ef721
Revision ID	8e236ed0-72d8-46a4-91d2-a9fe33f0f5ed
Published Date	02/11/2020 07:48 AM
Last Modified	02/11/2020 07:48 AM
MD5 Checksum	6e5e69742f71031e7bf27689d24300ad

Data Explorer

Columns

No	Field	Type
1	_id	Integer
2	Type	Text
3	Kuching	Numeric
4	Sri Aman	Numeric
5	Sibu	Numeric
6	Miri	Numeric
7	Limbang	Numeric
8	Sarikei	Numeric
9	Kapit	Numeric
10	Samarahan	Numeric
11	Bintulu	Numeric
12	Mukah	Numeric
13	Betong	Numeric
14	Serian	Numeric

Endpoint »

The Data API can be accessed via the following actions of the CKAN action API.

Query	`https://catalog.sarawak.gov.my/api/3/action/datastore_search`

Querying »

Query example (first 5 results)

https://catalog.sarawak.gov.my/api/3/action/datastore_search?resource_id=47573dd5-320d-4778-8745-ceb8df1ef721&limit=5

Query example (results containing 'jones')

https://catalog.sarawak.gov.my/api/3/action/datastore_search?resource_id=47573dd5-320d-4778-8745-ceb8df1ef721&q=jones

Example: Javascript »

A simple ajax (JSONP) request to the data API using jQuery.

var data = {
    resource_id: '47573dd5-320d-4778-8745-ceb8df1ef721', // the resource id
    limit: 5, // get 5 results
    q: 'jones' // query for 'jones'
};
$.ajax({
    url: 'https://catalog.sarawak.gov.my/api/3/action/datastore_search',
    data: data,
    dataType: 'jsonp',
    success: function(data) {
        alert('Total results found: ' + data.result.total)
    }
});

Example: Python »

import urllib
url = 'https://catalog.sarawak.gov.my/api/3/action/datastore_search?resource_id=47573dd5-320d-4778-8745-ceb8df1ef721&limit=5&q=title:jones'
fileobj = urllib.urlopen(url)
print fileobj.read()