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Check JobPosting JSON-LD Completeness

Inspect a basic public page for JobPosting JSON-LD and missing employment metadata. The example is a negative control, not a published job advertisement.

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JobPosting Schema Checker: Fields & Dates
JobPosting Schema Checker: Fields & Datespractical_ai_lab_jp/pal-job-posting-schema-audit
Input URL
Final URL
Audit mode
Issue count
+6 fields
Text
Number
Boolean
List
Object

Input

Public HTTPS page URLs(required):https://example.com/

Output fields

Input URL
Final URL
Audit mode
Issue count
Status
Timestamp
Reviewable fixes
Prioritized issue remediation
Recheck issue fingerprint
Limitations

How it works

Sign up on Apify or log in

The JobPosting Schema Checker: Fields & Dates Actor is ready to run with the inputs already set for "Check JobPosting JSON-LD Completeness". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Check JobPosting JSON-LD Completeness" task

The JobPosting Schema Checker: Fields & Dates Actor will start running based on the input automatically. You can also change all the input fields, like public https page urls, to match your specific use case.

Receive the "Check JobPosting JSON-LD Completeness" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as input url, final url, audit mode, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Check JobPosting JSON-LD Completeness" task via API.

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