curl "https://api.brightdata.com/dca/dataset?id=ID_DATASET" -H "Content-Type: application/json" -H "Authorization: <Bearer API_TOKEN>"

#!/usr/bin/env node
require('request-promise')({
 url: 'https://api.brightdata.com/dca/dataset?id=ID_DATASET',
 headers: {'Content-Type': 'application/json','Authorization':'Bearer API_TOKEN'},
}).then(function(data){ console.log(data); },
 function(err){ console.error(err); });

package example;  
  
import org.apache.http.entity.ContentType;  
import org.apache.http.HttpHost;  
import org.apache.http.client.fluent.*;  
  
public class Main {  
    public static void main(String[] args) {  
        String body = "[{\"url\":\"https://targetwebsite.com/product_id/\"}]";  
        String res = Executor.newInstance()  
            .execute(  
                    Request.Post("https://api.brightdata.com/dca/trigger?collector=COLLECTOR_ID&queue_next=1")  
                    .addHeader("Authorization", "Bearer API_TOKEN")  
                    .addHeader("Content-Type", "application/json")  
                    .bodyString(body, ContentType.APPLICATION_JSON))  
            .returnContent().asString();  
        System.out.println(res);  
    }  
}

using System;
using System.Net;
using System.Net.Http;
using System.Net.Http.Headers;
public class Program {
 public static async Task Main() {
 var client = new HttpClient();
 var requestMessage = new HttpRequestMessage {
 Method = HttpMethod.Get,  
 RequestUri = new Uri("https://api.brightdata.com/dca/dataset?id=ID_DATASET"),
 Headers = {  
 {"Content-Type", "application/json"},
 {"Authorization", "Bearer API_TOKEN"}
 }
 };
 var response = await client.SendAsync(requestMessage);
 var responseString = await response.Content.ReadAsStringAsync();
 Console.WriteLine(responseString);
 }
}

#!/usr/bin/env python
print('If you get error "ImportError: No module named requests", please install it:\n$ sudo pip install requests');
import requests
headers = {'Content-Type': 'application/json','Authorization': 'Bearer API_TOKEN'}
r = requests.get('https://api.brightdata.com/dca/dataset?id=ID_DATASET', headers=headers)
print(r.content)

{
 "status": "building",
 "message": "Dataset is not ready yet, try again in XXs"
}

[
 {
 "Image": "https://targetwebsite.com/product_id.png",
 "Title": "product_name",
 "Price": "product_price",
 "input": {
 "url": "https://targetwebsite.com/product_id/"
 }
 }
]