Bulk Schema Checker
Audit JSON-LD schema markup across up to 50 URLs. See schema types, errors, and warnings in one table. Free bulk schema checker. Free to use, no login required.
- Paste URLs to audit
- Read the results table
- Fix markup sitewide
- Browser-based — no install
- Instant results
Paste up to 50 URLs to see which schema types each page has and whether the JSON-LD is valid, has warnings, or has errors — all in one audit table.
What is a Bulk Schema Checker?
The Bulk Schema Checker provides an efficient and focused method for auditing JSON-LD structured data across multiple web pages simultaneously. Instead of manually inspecting individual URLs with a single-page validator, this tool allows users to input up to 50 URLs at once, fetching data from each and conducting a rapid analysis. Its core function involves extracting all JSON-LD blocks present on every specified page, then meticulously validating these blocks against established schema.org rules and Google’s specific recommendations for rich results. The output is a consolidated summary table, designed to offer a clear overview of the structured data health across a chosen set of pages. This table displays critical information such as the schema types discovered, the overall validation status for each URL, and the most pressing issue identified on any given page. Each row covers the JSON-LD blocks found on that URL. Sampling a template here is faster than opening every URL in the single-page checker.
When Should You Use Bulk Schema Checker?
This powerful utility is particularly valuable at several key junctures in a website's lifecycle or during ongoing optimization efforts. A primary application is post-deployment validation, where it can confirm that newly implemented schema markup across a template or following a CMS update is correctly outputting valid JSON-LD on 10-20 representative pages. It serves as an essential component during a technical SEO audit, assisting in the swift identification of pages that are either missing crucial schema types like Article, Product, FAQPage, or LocalBusiness, or contain critical errors preventing rich result eligibility. Additionally, after a significant website migration, the Bulk Schema Checker proves indispensable for verifying that structured data has successfully transitioned to the new environment. It helps confirm the integrity of schema on 15-25 core landing pages, key product URLs, and vital blog posts, ensuring that no valuable markup was lost or corrupted during the transition process, which can directly impact search visibility and engagement.
How to Read Bulk Schema Checker Results
Interpreting the results from the Bulk Schema Checker is straightforward, as each row in the summary table presents a concise overview for a single URL. Key columns include the URL itself, a list of Detected Schema Types (e.g., Organization, WebPage, Article, Product, FAQPage, BreadcrumbList), and the Block Count, which indicates the number of distinct JSON-LD blocks found on that specific page. The Status column provides an immediate indication of structured data health: Valid signifies that all JSON-LD blocks on the page have passed validation with no warnings or errors. A Warning indicates that blocks are structurally sound but may be missing recommended fields that could enhance rich result display. An Error denotes a critical issue such as a parse failure, missing @type or @context properties, or invalid JSON syntax, making the markup unusable. No schema means the page fetched successfully but contained no JSON-LD markup. Finally, the Top Issue column pinpoints the most significant problem, such as "Missing 'name' property for Product" or "Invalid value for 'priceCurrency'", enabling prioritized corrective action. Users can click View to open a full, detailed Schema Checker report for any specific URL.
What Should You Know Before Using Bulk Schema Checker?
Before relying solely on the Bulk Schema Checker for all structured data insights, it is important to understand its specific focus and limitations. The tool is engineered exclusively for validating JSON-LD structured data and does not process Microdata or RDFa formats. For a more exhaustive markup analysis that includes Open Graph tags, Twitter Card metadata, or other non-JSON-LD structured data types, the dedicated single-URL Schema Checker should be used. The "recommended-field" warnings generated by this tool are primarily aligned with common requirements for Google Rich Results, not every single possible constraint or best practice outlined within schema.org itself. While these warnings are valuable for improving rich result eligibility, they do not encompass the entirety of schema.org's vast vocabulary. Therefore, to ensure complete eligibility for specific rich result types, always perform a final confirmation of critical pages—perhaps 3-5 pages representing different content types—using Google's official Rich Results Test. This external validation provides the definitive assessment of how Google interprets and processes your structured data.
Frequently Asked Questions
How many URLs can I check at once?
Paste up to 50 URLs, one per line. Extra lines past 50 are dropped. There is no file upload. Each URL is fetched and its JSON-LD blocks are checked in one table. Split a longer list into batches of 50 and run them one after another.
What schema types does the bulk checker detect?
It reports the @type values found in JSON-LD script blocks, whatever they are: Product, Article, FAQPage, Organization, or any other schema.org type on the page. It does not limit detection to a fixed list, and it does not read Microdata or RDFa.
What is the difference between valid, warning, and error?
Valid means all JSON-LD blocks parsed correctly with no warnings. Warning means blocks are valid but missing recommended fields for their type (e.g. Article without datePublished). Error means a JSON parse failure or a block missing @type. Fetch error means the page could not be retrieved.
Does this replace Google's Rich Results Test?
No. This checker validates JSON-LD syntax and recommended fields across up to 50 URLs. Google's Rich Results Test looks at one URL, judges rich-result eligibility, and can show a preview. Use this table to find a broken template, then confirm a few representative URLs in Google's test.
Can I export bulk schema results?
Yes. The results table has an Export CSV button that downloads one file, bulk-schema-check.csv, with the rows from that run. There is no JSON or XML export, and the download is not split into numbered files.
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