Job Scraping API

Extract machine readable job postings data at scale with just a click

With the explosion of online job listings and job boards, there is a lot of jobs and recruitment data available online. This data has led to innovative uses of web extracted jobs data.

The latent acquisition industry is just one of the industries that can hugely benefit from web extracted job postings data. Having data synchronization between job boards or aggregators and your database and uniformity, accuracy, semantic consistency is an operational must and this is where scraping job posting API can help.

Another unique project that our client used Zyte job posting API for is to use web data to predict seasonal hiring and wage rate trends.

If you're looking for other ways of attracting the best talent with web extracted data, check out the recommendations from our Recruitment team.

Zyte Automatic Extraction has the best job scraping API

Extract machine-readable job postings data at scale with just a click.

Zyte can help you build your data pipelines with confidence and maintain a healthy master data management practice with reliable (99.9% uptime) and always-on service( 24/7, 365 days a year).

Check out how Zyte helped one of the world’s leading e-commerce retailers extract the data they need to make better hiring decisions.

Zyte Automatic Extraction supports a comprehensive list of job posting data fields and with the output delivered directly to your AWS S3 bucket ensuring flexibility to evolve with your needs.

Read our detailed blog post to know everything there is to know about Zyte Automatic Extraction job postings API.

What job data categories can be extracted?

• Job title
• Description
• Description HTML
• Date published
• Valid through
• Employment type
• Hiring organization
• Base salary
• Job location
• URL

Job posting API output example

[
  {
    "jobPosting": {
      "title": "Regional Manager",
      "datePosted": "2019-06-19T00:00:00",
      "validThrough": "2019-08-19T00:00:00",
      "description": "Job Description ...",
      "descriptionHtml": "<article>HTML for Job Description ...",
      "baseSalary": {
        "currency": "$",
        "raw": "$90000 gross",
        "value": 90000.0
      },
      "jobLocation": {
        "raw": "North Pole"
      },
      "hiringOrganization": {
        "raw": "ACME Corporation"
      },
      "employmentType": "Full-time",
      "probability": 0.95,
      "url": "https://example.com/job"
    },
    "webPage": {
      "inLanguages": [
        {"code": "en"},
        {"code": "es"}
      ]
    },
    "query": {
      "id": "1564747029122-9e02a1868d70b7a3",
      "domain": "example.com",
      "userQuery": {
        "pageType": "jobPosting",
        "url": "https://example.com/job"
      }
    },
    "algorithmVersion": "20.8.1"
  }
]