LinkedIn Lead Search

import requests
import json

url = "https://v3-api.texau.com/api/v1/lead_search"
headers = {
  "Content-Type": "application/json",
  "x-api-key": "YOUR_API_KEY"
}
data = {
  "search": "machine learning",
  "currentJobTitles": [
    "VP Engineering",
    "CTO"
  ],
  "seniority": [
    "Director",
    "CXO"
  ],
  "companySize": [
    "51-200",
    "201-500"
  ],
  "geoIds": [
    "San Francisco Bay Area"
  ],
  "industries": [
    "Software Development"
  ],
  "functions": [
    "Engineering"
  ],
  "page": 1,
  "exclude": {
    "currentJobTitles": [
      "Intern",
      "Trainee"
    ],
    "industries": [
      "Education"
    ]
  }
}

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

const response = await fetch("https://v3-api.texau.com/api/v1/lead_search", {
  method: "POST",
  headers: {
  "Content-Type": "application/json",
  "x-api-key": "YOUR_API_KEY"
},
  body: JSON.stringify({
  "search": "machine learning",
  "currentJobTitles": [
    "VP Engineering",
    "CTO"
  ],
  "seniority": [
    "Director",
    "CXO"
  ],
  "companySize": [
    "51-200",
    "201-500"
  ],
  "geoIds": [
    "San Francisco Bay Area"
  ],
  "industries": [
    "Software Development"
  ],
  "functions": [
    "Engineering"
  ],
  "page": 1,
  "exclude": {
    "currentJobTitles": [
      "Intern",
      "Trainee"
    ],
    "industries": [
      "Education"
    ]
  }
})
});

const data = await response.json();
console.log(data);

package main

import (
    "fmt"
    "net/http"
    "bytes"
    "encoding/json"
)

func main() {
    data := []byte(`{
  "search": "machine learning",
  "currentJobTitles": [
    "VP Engineering",
    "CTO"
  ],
  "seniority": [
    "Director",
    "CXO"
  ],
  "companySize": [
    "51-200",
    "201-500"
  ],
  "geoIds": [
    "San Francisco Bay Area"
  ],
  "industries": [
    "Software Development"
  ],
  "functions": [
    "Engineering"
  ],
  "page": 1,
  "exclude": {
    "currentJobTitles": [
      "Intern",
      "Trainee"
    ],
    "industries": [
      "Education"
    ]
  }
}`)

    req, err := http.NewRequest("POST", "https://v3-api.texau.com/api/v1/lead_search", bytes.NewBuffer(data))
    if err != nil {
        panic(err)
    }

    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("x-api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    fmt.Println("Response Status:", resp.Status)
}

require 'net/http'
require 'json'

uri = URI('https://v3-api.texau.com/api/v1/lead_search')
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true

request = Net::HTTP::Post.new(uri)
request['Content-Type'] = 'application/json'
request['x-api-key'] = 'YOUR_API_KEY'
request.body = '{
  "search": "machine learning",
  "currentJobTitles": [
    "VP Engineering",
    "CTO"
  ],
  "seniority": [
    "Director",
    "CXO"
  ],
  "companySize": [
    "51-200",
    "201-500"
  ],
  "geoIds": [
    "San Francisco Bay Area"
  ],
  "industries": [
    "Software Development"
  ],
  "functions": [
    "Engineering"
  ],
  "page": 1,
  "exclude": {
    "currentJobTitles": [
      "Intern",
      "Trainee"
    ],
    "industries": [
      "Education"
    ]
  }
}'

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

{
  "error": "Forbidden",
  "message": "You don't have permission to access this resource",
  "code": 403
}

{
  "error": "Too Many Requests",
  "message": "Rate limit exceeded. Please try again later",
  "code": 429,
  "retryAfter": 3600
}