curl --request POST \
  --url https://connie.ai/api/tables/import-people \
  --header 'Content-Type: application/json' \
  --cookie session= \
  --data '
{
  "workspaceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "searchFilters": {},
  "tableId": "<string>",
  "tableName": "<string>",
  "description": "<string>",
  "totalResults": 123,
  "people": [
    {
      "id": "<string>",
      "name": "<string>",
      "title": "<string>",
      "company": "<string>",
      "location": "<string>",
      "email": "<string>",
      "linkedin": "<string>",
      "companyDomain": "<string>",
      "companyLinkedin": "<string>",
      "companySize": "<string>"
    }
  ],
  "appendOnly": true
}
'

import requests

url = "https://connie.ai/api/tables/import-people"

payload = {
    "workspaceId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "searchFilters": {},
    "tableId": "<string>",
    "tableName": "<string>",
    "description": "<string>",
    "totalResults": 123,
    "people": [
        {
            "id": "<string>",
            "name": "<string>",
            "title": "<string>",
            "company": "<string>",
            "location": "<string>",
            "email": "<string>",
            "linkedin": "<string>",
            "companyDomain": "<string>",
            "companyLinkedin": "<string>",
            "companySize": "<string>"
        }
    ],
    "appendOnly": True
}
headers = {
    "cookie": "session=",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {cookie: 'session=', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    workspaceId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    searchFilters: {},
    tableId: '<string>',
    tableName: '<string>',
    description: '<string>',
    totalResults: 123,
    people: [
      {
        id: '<string>',
        name: '<string>',
        title: '<string>',
        company: '<string>',
        location: '<string>',
        email: '<string>',
        linkedin: '<string>',
        companyDomain: '<string>',
        companyLinkedin: '<string>',
        companySize: '<string>'
      }
    ],
    appendOnly: true
  })
};

fetch('https://connie.ai/api/tables/import-people', 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://connie.ai/api/tables/import-people",
  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([
    'workspaceId' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'searchFilters' => [
        
    ],
    'tableId' => '<string>',
    'tableName' => '<string>',
    'description' => '<string>',
    'totalResults' => 123,
    'people' => [
        [
                'id' => '<string>',
                'name' => '<string>',
                'title' => '<string>',
                'company' => '<string>',
                'location' => '<string>',
                'email' => '<string>',
                'linkedin' => '<string>',
                'companyDomain' => '<string>',
                'companyLinkedin' => '<string>',
                'companySize' => '<string>'
        ]
    ],
    'appendOnly' => true
  ]),
  CURLOPT_COOKIE => "session=",
  CURLOPT_HTTPHEADER => [
    "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://connie.ai/api/tables/import-people"

	payload := strings.NewReader("{\n  \"workspaceId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"searchFilters\": {},\n  \"tableId\": \"<string>\",\n  \"tableName\": \"<string>\",\n  \"description\": \"<string>\",\n  \"totalResults\": 123,\n  \"people\": [\n    {\n      \"id\": \"<string>\",\n      \"name\": \"<string>\",\n      \"title\": \"<string>\",\n      \"company\": \"<string>\",\n      \"location\": \"<string>\",\n      \"email\": \"<string>\",\n      \"linkedin\": \"<string>\",\n      \"companyDomain\": \"<string>\",\n      \"companyLinkedin\": \"<string>\",\n      \"companySize\": \"<string>\"\n    }\n  ],\n  \"appendOnly\": true\n}")

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

	req.Header.Add("cookie", "session=")
	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://connie.ai/api/tables/import-people")
  .header("cookie", "session=")
  .header("Content-Type", "application/json")
  .body("{\n  \"workspaceId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"searchFilters\": {},\n  \"tableId\": \"<string>\",\n  \"tableName\": \"<string>\",\n  \"description\": \"<string>\",\n  \"totalResults\": 123,\n  \"people\": [\n    {\n      \"id\": \"<string>\",\n      \"name\": \"<string>\",\n      \"title\": \"<string>\",\n      \"company\": \"<string>\",\n      \"location\": \"<string>\",\n      \"email\": \"<string>\",\n      \"linkedin\": \"<string>\",\n      \"companyDomain\": \"<string>\",\n      \"companyLinkedin\": \"<string>\",\n      \"companySize\": \"<string>\"\n    }\n  ],\n  \"appendOnly\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://connie.ai/api/tables/import-people")

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

request = Net::HTTP::Post.new(url)
request["cookie"] = 'session='
request["Content-Type"] = 'application/json'
request.body = "{\n  \"workspaceId\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"searchFilters\": {},\n  \"tableId\": \"<string>\",\n  \"tableName\": \"<string>\",\n  \"description\": \"<string>\",\n  \"totalResults\": 123,\n  \"people\": [\n    {\n      \"id\": \"<string>\",\n      \"name\": \"<string>\",\n      \"title\": \"<string>\",\n      \"company\": \"<string>\",\n      \"location\": \"<string>\",\n      \"email\": \"<string>\",\n      \"linkedin\": \"<string>\",\n      \"companyDomain\": \"<string>\",\n      \"companyLinkedin\": \"<string>\",\n      \"companySize\": \"<string>\"\n    }\n  ],\n  \"appendOnly\": true\n}"

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

{
  "tableId": "<string>",
  "tableName": "<string>",
  "estimatedRows": 123,
  "workflowId": "<string>",
  "status": "importing"
}