직원 데이터 API:
글로벌 프로필 가져오기

                              curl --request POST 
--url https://api.brightdata.com/datasets/filter 
--header 'Authorization: Bearer ' 
--header 'Content-Type: application/json' 
--data '{
  "dataset_id": "gd_m18zt6ec11wfqohyrs",
  "records_limit": 100,
  "filter": {
    "operator": "and",
    "filters": [
      {
        "name": "job_title",
        "operator": "includes",
        "value": "Data Scientist"
      },
      {
        "name": "location",
        "operator": "in",
        "value": ["San Francisco", "New York", "Austin"]
},
{
    "name": "skills",
    "operator": "array_includes",
    "value": "Python"
}
]
}
}'
                              
                            

                              import requests

url = "https://api.brightdata.com/datasets/filter"
headers = {"Authorization": "Bearer "}
payload = {
    "dataset_id": "gd_m18zt6ec11wfqohyrs",
    "records_limit": 100,
    "filter": {
        "operator": "and",
        "filters": [
            {
                "name": "job_title",
                "operator": "includes",
                "value": "Data Scientist"
},
{
    "name": "location",
    "operator": "in",
    "value": ["San Francisco", "New York", "Austin"]
},
            {
    "name": "skills",
    "operator": "array_includes",
    "value": "Python"
}
]
}

response = requests.post(url, json=payload, headers=headers)
print(response.json())
                              
                            

                              const url = 'https://api.brightdata.com/datasets/filter';
const options = {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer ',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    dataset_id: 'gd_m18zt6ec11wfqohyrs',
    records_limit: 100,
    filter: {
      operator: 'and',
      filters: [
        {
          name: 'job_title',
          operator: 'includes',
          value: 'Data Scientist'
        },
        {
          name: 'location',
          operator: 'in',
          value: ['San Francisco', 'New York', 'Austin']
        },
        {
          name: 'skills',
          operator: 'array_includes',
          value: 'Python'
        }
      ]
    }
  })
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
                              
                            

                              HttpResponse response = Unirest.post("https://api.brightdata.com/datasets/filter")
    .header("Authorization", "Bearer ")
    .header("Content-Type", "application/json")
  .body("{"dataset_id":"gd_m18zt6ec11wfqohyrs","records_limit":100,"filter":{"operator":"and","filters":[{"name":"job_title","operator":"includes","value":"Data Scientist"},{"name":"location","operator":"in","value":["San Francisco","New York","Austin"]},{"name":"skills","operator":"array_includes","value":"Python"}]}}")
.asString();