πΌ
Job Posting
Job listings and postings
About Job Posting Schema
The Job Posting schema type is used to mark up job listings and postings. Implementing this structured data helps search engines understand your content better and may qualify your pages for rich results in Google Search.
Properties
* Required Properties
@type
Must be "JobPosting"
Type: Text
title
Job title
Type: Text
description
Job description
Type: Text
hiringOrganization
Organization hiring
Type: Organization
datePosted
Date posted (ISO 8601)
Type: Date
β Recommended Properties
validThrough
Application deadline
Type: Date
jobLocation
Job location
Type: Place
baseSalary
Salary information
Type: MonetaryAmount
employmentType
Type of employment
Type: Text
Best Practices
- β Validate your JSON-LD with Googleβs Rich Results Test before publishing.
- β Populate validThrough, jobLocation to unlock enhanced snippets.
- β Keep structured data in sync with the visible content on the page.
Common Pitfalls
- β οΈAvoid mixing multiple schema syntaxes for the same entity.
- β οΈDo not include claims that the user cannot see or confirm on the page.
- β οΈRemember to update dateModified whenever the content changes.
JSON-LD Example
{
"@context": "https://schema.org",
"@type": "JobPosting",
"title": "Senior Software Engineer",
"description": "We're looking for an experienced software engineer to join our team",
"datePosted": "2025-01-15",
"validThrough": "2025-03-15",
"employmentType": "FULL_TIME",
"hiringOrganization": {
"@type": "Organization",
"name": "Example Tech Company",
"logo": "https://example.com/logo.png"
},
"jobLocation": {
"@type": "Place",
"address": {
"@type": "PostalAddress",
"addressLocality": "San Francisco",
"addressRegion": "CA",
"addressCountry": "US"
}
},
"baseSalary": {
"@type": "MonetaryAmount",
"currency": "USD",
"value": {
"@type": "QuantitativeValue",
"minValue": 120000,
"maxValue": 180000,
"unitText": "YEAR"
}
}
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