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        "markdown": "---\ntitle: JobPosting Checker: Test JobPosting Structured Data | NRLC.ai\ndescription: Check JobPosting structured data on a job page before you publish or when troubleshooting search visibility. Paste JSON-LD or check a public URL.\norganization: Neural Command LLC\ncanonical: https://nrlc.ai/en-us/tools/jobposting-checker/\n---\n\nJobPosting implementation check\n\n## Check a job page\n\nPaste the JobPosting JSON-LD, or enter the URL of a public job page. Each check is reported as an error, a warning, or a pass.\n\nWhat do you want to check?\n\nPaste JSON-LD\n\nCheck public URL\n\nJSON-LD\n\nA single object, an array, an @graph, or the full <script type=\"application/ld+json\"> block.\n\nJob page URL\n\nPublic https pages only. The page is fetched once without running JavaScript.\n\nCheck JobPosting\n\nThis checker tests common JobPosting implementation requirements and consistency. It does not guarantee search appearance.\n\nScope\n\n## What it checks\n\n- Identity: JobPosting type, title, and description.\n- Dates: datePosted and validThrough, including expired openings.\n- Hiring organization: name, and url or sameAs when supplied.\n- Employment: employmentType and directApply values.\n- Location: jobLocation, remote roles (TELECOMMUTE and applicant location), and placeholder addresses or postal codes.\n- Salary: currency, numeric value or range, unitText, empty or contradictory salary objects.\n- Page (URL mode): canonical, robots noindex, and whether the title, employer, and location appear in the visible page text.\n## Limitations\n\n- Only JSON-LD is read. Microdata and RDFa are not checked.\n- URL mode reads the initial HTML without running JavaScript, so content added by scripts is not compared.\n- Passing these checks does not mean a job will appear in any search feature.\n- Submitted markup, URLs, and fetched pages are analyzed for this request only and are not stored.\n\n\n---\n\nSource: https://nrlc.ai/en-us/tools/jobposting-checker/\nPublisher: Neural Command LLC\nLicense: Editorial use with attribution\n"
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