import requests

url = "https://api.parallel.ai/v1/images/search"

payload = { "search_queries": ["<string>"] }
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({search_queries: ['<string>']})
};

fetch('https://api.parallel.ai/v1/images/search', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

HttpResponse<String> response = Unirest.post("https://api.parallel.ai/v1/images/search")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"search_queries\": [\n    \"<string>\"\n  ]\n}")
  .asString();

curl --request POST \
  --url https://api.parallel.ai/v1/images/search \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "search_queries": [
    "<string>"
  ]
}
'

{
  "search_id": "search_fcb2b4f3c75e418687bccaa1a8381331",
  "session_id": "session_fcb2b4f3c75e418687bccaa1a8381331",
  "results": [
    {
      "title": "Golden Gate Bridge at sunset",
      "image_url": "https://www.example.com/images/golden-gate.jpg",
      "source_page_url": "https://www.example.com/golden-gate-bridge",
      "width": 1920,
      "height": 1080
    }
  ]
}

{
  "type": "error",
  "error": {
    "ref_id": "search_fcb2b4f3c75e418687bccaa1a8381331",
    "message": "Request validation error"
  }
}