Developer Documentation

Integrate real-time job data into your applications in seconds using the TechJobsData API.

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Authentication

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Free Tier Mode

No Authentication required.
Limited to 20 requests/day.

Get API Key

Endpoints & Params

Base Endpoint

GET /api/v1/jobs/

Query Parameters

search string
Filter by job title, skill, or company (e.g. "Python").
location string
Filter by region or city (e.g. "Europe", "Berlin").
page int
Pagination number (default: 1).

Request Example

# 1. Free Request (No Key Needed)

curl -X GET "https://techjobsdata.com/api/v1/jobs/"

# 2. Filter by Location & Keyword

curl -X GET "https://techjobsdata.com/api/v1/jobs/?location=Europe&search=Python"

import requests

url = "https://techjobsdata.com/api/v1/jobs/"


# Free Tier: No headers required
headers = {}


params = {
    "location": "Europe",
    "search": "Python"
}

response = requests.get(url, headers=headers, params=params)

if response.status_code == 200:
    data = response.json()
    print(f"Found {data['count']} jobs!")
    for job in data['results']:
        print(f"{job['title']} at {job['company']}")
else:
    print("Error:", response.status_code)

const url = "https://techjobsdata.com/api/v1/jobs/";

const params = new URLSearchParams({
    location: "Europe",
    search: "React"
});


const headers = {};


async function fetchJobs() {
    try {
        const res = await fetch(`${url}?${params}`, { headers });
        const data = await res.json();

        console.log(`Found ${data.count} jobs:`);
        console.log(data.results);
    } catch (err) {
        console.error("Failed to fetch jobs:", err);
    }
}

fetchJobs();

Response Object

The API returns a JSON object containing pagination metadata and a list of job results.

{
  "count": 142,
  "next": "https://techjobsdata.com/api/v1/jobs/?page=2",
  "previous": null,
  "results": [
    {
      "id": 8942,
      "title": "Senior Backend Engineer",
      "company": "Spotify",
      "location": "Remote (Europe)",
      "salary_min": 120000,
      "salary_max": 160000,
      "currency": "USD",
      "posted_at": "2024-03-15T10:30:00Z",
      "source": "LinkedIn",
      "skills": ["Python", "Django", "PostgreSQL"],
      "url": "https://linkedin.com/jobs/..."
    },
    ...
  ]
}