curl --request POST \
  --url https://api.neuralverge.ai/functions/v1/run-linkedin-people-search \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "searchQuery": "OpenAI recruiter",
  "maxResults": 3,
  "scraperMode": "full",
  "locations": [
    "Amsterdam"
  ],
  "currentCompany": [
    "OpenAI"
  ],
  "currentJobTitleFilter": [
    "Recruiter"
  ]
}
'

import requests

url = "https://api.neuralverge.ai/functions/v1/run-linkedin-people-search"

payload = {
    "searchQuery": "OpenAI recruiter",
    "maxResults": 3,
    "scraperMode": "full",
    "locations": ["Amsterdam"],
    "currentCompany": ["OpenAI"],
    "currentJobTitleFilter": ["Recruiter"]
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    searchQuery: 'OpenAI recruiter',
    maxResults: 3,
    scraperMode: 'full',
    locations: ['Amsterdam'],
    currentCompany: ['OpenAI'],
    currentJobTitleFilter: ['Recruiter']
  })
};

fetch('https://api.neuralverge.ai/functions/v1/run-linkedin-people-search', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.neuralverge.ai/functions/v1/run-linkedin-people-search",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'searchQuery' => 'OpenAI recruiter',
    'maxResults' => 3,
    'scraperMode' => 'full',
    'locations' => [
        'Amsterdam'
    ],
    'currentCompany' => [
        'OpenAI'
    ],
    'currentJobTitleFilter' => [
        'Recruiter'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.neuralverge.ai/functions/v1/run-linkedin-people-search"

	payload := strings.NewReader("{\n  \"searchQuery\": \"OpenAI recruiter\",\n  \"maxResults\": 3,\n  \"scraperMode\": \"full\",\n  \"locations\": [\n    \"Amsterdam\"\n  ],\n  \"currentCompany\": [\n    \"OpenAI\"\n  ],\n  \"currentJobTitleFilter\": [\n    \"Recruiter\"\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.neuralverge.ai/functions/v1/run-linkedin-people-search")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"searchQuery\": \"OpenAI recruiter\",\n  \"maxResults\": 3,\n  \"scraperMode\": \"full\",\n  \"locations\": [\n    \"Amsterdam\"\n  ],\n  \"currentCompany\": [\n    \"OpenAI\"\n  ],\n  \"currentJobTitleFilter\": [\n    \"Recruiter\"\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.neuralverge.ai/functions/v1/run-linkedin-people-search")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"searchQuery\": \"OpenAI recruiter\",\n  \"maxResults\": 3,\n  \"scraperMode\": \"full\",\n  \"locations\": [\n    \"Amsterdam\"\n  ],\n  \"currentCompany\": [\n    \"OpenAI\"\n  ],\n  \"currentJobTitleFilter\": [\n    \"Recruiter\"\n  ]\n}"

response = http.request(request)
puts response.read_body

{
  "session_id": "44444444-4444-4444-4444-444444444444",
  "verification_type": "data_source",
  "kind": "linkedin_people_search",
  "scraperMode": "full",
  "autoQuerySegmentation": false,
  "maxItems": 3,
  "locations": [
    "Amsterdam"
  ],
  "profileScraperMode": "Full",
  "recentlyChangedJobs": false,
  "recentlyPostedOnLinkedIn": false,
  "searchQuery": "OpenAI recruiter",
  "currentCompanies": [
    "OpenAI"
  ],
  "currentJobTitles": [
    "Recruiter"
  ],
  "human": "# LinkedIn people search\n\n- **Results returned:** 3\n\n### Jane Doe\n\n- **Profile URL:** https://www.linkedin.com/in/jane-doe/\n- **First name:** Jane\n- **Last name:** Doe\n- **Title:** Recruiter\n- **Company:** OpenAI\n- **Location:** Amsterdam\n- **Summary:** Technical recruiting across research and engineering roles.",
  "machine": {
    "total_items": 3,
    "first_item": {
      "firstName": "Jane",
      "lastName": "Doe",
      "profileUrl": "https://www.linkedin.com/in/jane-doe/",
      "headline": "Recruiter at OpenAI",
      "currentCompany": "OpenAI",
      "location": "Amsterdam"
    },
    "items": [
      {
        "firstName": "Jane",
        "lastName": "Doe",
        "profileUrl": "https://www.linkedin.com/in/jane-doe/"
      }
    ]
  },
  "points_per_25_results": 100,
  "points_per_profile": 5,
  "total_points": 115
}