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Seems like this data source was never ran before...
Changes are only available only when you have ran at least a second time.
Nope... guess no Martians around... Maybe set the webhook URL before pressing this button again...
Column 1 | Column 2 | Column 3 | Column 4 | Column 5 | Column 6 | Column 7 | Column 8 | origin_pattern | origin_url | createdAt | updatedAt | pingedAt |
---|---|---|---|---|---|---|---|---|---|---|---|---|
https://www.ctyun.cn/newsboard/ | https://www.ctyun.cn/newsboard/ | 2023-08-02 08:21:16 UTC | 2023-08-02 08:21:16 UTC | 2023-08-02 08:21:16 UTC | ||||||||
| 新闻资讯 | 近日,由北京市人民政府、国家发展和改革委员会、工业和信息化部、商务部、国家互联网信息办公室、中国科学技术协会共同主办,中国云产业联盟暨中关村云计算产业联盟(简称“... | 2023全球数字经济大会召开,天翼云携手产业链共建开放共赢云生态 | 30 6月 2023 | https://www.ctyun.cn/newsboard/ | https://www.ctyun.cn/newsboard/ | 2023-08-02 08:21:16 UTC | 2023-08-02 08:21:16 UTC | 2023-08-02 08:21:16 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/n122249_f557d47dcdcdaeec4259b442c36d7a87eses/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/n122249_f557d47dcdcdaeec4259b442c36d7a87eses/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/n122249_f557d47dcdcdaeec4259b442c36d7a87eses/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/n122249_f557d47dcdcdaeec4259b442c36d7a87eses/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/n122249_f557d47dcdcdaeec4259b442c36d7a87eses/latest_all.csv").read temp_file.rewind CSV.foreach( open(uri), :headers => :first_row ).each do |row| # Each row puts row end
created on 2025-07-10
created on 2025-07-10