Book Schema Generator — Clarify Titles, Authors, and ISBNs
Generate clean Book JSON‑LD for product and catalog pages. Clarify title, authorship, identifiers, formats, and offers to improve understanding and eligibility.
Why many book pages underperform
Pain points we solve
- Titles are not associated with authors or identifiers like ISBN.
- Edition/format (e.g., Hardcover vs EBook) is unclear.
- Pricing and availability for purchasable formats are missing or inconsistent.
- Manual JSON‑LD is error‑prone across large catalogs.
How SwiftSchema helps
Solution
The Book generator guides you to include the essentials: title (`name`), author, image, ISBN, publisher, and publish date. It supports `bookFormat` to distinguish editions and `Offer` blocks for sellable formats.
It also supports ratings via `AggregateRating` and individual `Review` entries, producing copy‑ready JSON‑LD for product and catalog pages.
How it works
How it works
- Choose Book in the generator below.
- Enter title (`name`), author, image, and ISBN when available.
- Add publisher and `datePublished`; set `bookFormat` for each edition.
- If selling, include an Offer with `price` and `priceCurrency`; add ratings where policy‑compliant.
- Copy JSON or Script, paste into book pages, and validate in the Rich Results Test.
Paste once per book/edition. Validate. Ship.
What is Book structured data?
Book structured data describes physical or digital books, capturing core attributes like title, authorship, identifiers (ISBN/GTIN), publisher, publication date, cover art, format, and commercial availability. By exposing these details via JSON‑LD, you help search engines match your catalog to user queries, highlight availability, and qualify for features like book carousels or knowledge panels. Book markup is especially useful for multi-format catalogs (hardcover, paperback, ebook, audiobook) where the same title exists in multiple editions.
When you pair Book schema with Product, Offer, and Review data, you provide a complete picture: bibliographic metadata plus pricing, formats, and social proof. This reduces ambiguity in marketplaces, reseller platforms, and library catalogs that syndicate your data.
Essential fields to include
- name— book title exactly as it appears on the cover.
- author— Person or Organization; includename, optionalurlorsameAsfor author sites.
- isbn— 13-digit ISBN for the specific edition. Use GTIN or proprietary IDs if ISBN is unavailable.
- image— high-resolution cover art (minimum 1,200px height for Discover eligibility).
- bookFormat—EBook,Hardcover,Paperback,AudiobookFormat, etc.
- datePublished— original publication date. AdddateModifiedif the edition was revised.
- publisher— Organization responsible for publishing or imprint.
- inLanguage— BCP 47 code (e.g.,en-US,es-ES).
- workExample— link to other editions/manifestations (paperback vs ebook) if you maintain them.
- offers— price, currency, availability, and seller for each purchasing option.
- aggregateRating/review— only if you have legitimate reviews that comply with Google’s snippet policies.
Optional enhancements:
Handling multiple formats and editions
- Create a dedicated page per format/edition (e.g., /book/mastering-sd/hardcovervs/ebook/mastering-sd).
- On each format page, use Book schema referencing that edition’s ISBN and bookFormat.
- Use workExample(orhasPart) to link other editions, andisPartOfto reference the overall work.
- When you sell bundles (print + ebook), use an Offer referencing both formats and note it in the content.
- Keep pricing/offers in sync with the actual e-commerce data to avoid mismatched schema.
Content prep checklist
- Confirm title, subtitle, and author names exactly match the cover and retailer listings.
- Gather ISBNs, ASINs, or other identifiers per format.
- Prepare high-res cover images and optional lifestyle photos.
- Write a concise description/abstract plus key selling points (awards, bestseller lists, translator credits).
- List formats and pricing on the page so schema mirrors visible content (no hidden offers).
- Collect review blurbs or testimonials that comply with regional marketing laws.
Implementation steps
- Identify the canonical URL for each edition. Make sure canonical tags point to the correct page.
- Generate Book JSON‑LD via the form below, filling required props and optional ones like numberOfPages,genre,inLanguage.
- Add Offer blocks for each format sold: include price,priceCurrency,availability,url, andseller.
- Embed the JSON‑LD once per edition page. Avoid duplicate Book schema from plugins.
- Validate using Rich Results Test; pay attention to warnings about missing identifiers or offers.
- Monitor Search Console’s Enhancements (if available) and performance reports for Book/Product search appearances.
Offers, availability, and inventory
- Use Schema.org Offer statuses (InStock,OutOfStock,PreOrder) to reflect real availability.
- Update prices and availability whenever they change; automation via your commerce platform is ideal.
- For third-party sellers (Amazon, Bookshop.org), specify the seller in sellerorofferedBy.
- If you only distribute via retailers, include an Offer pointing to their product page and mention this in the content.
- For libraries or subscription services, use Offerwithprice: 0andbusinessFunction: LeaseOutto signal lending.
Reviews and social proof
- AggregateRating should only include first-party review data that you control. Don’t embed Goodreads or Amazon stars unless you’ve collected the reviews yourself and they comply with policies.
- Use Reviewto highlight notable blurbs (e.g., “New York Times”) withauthor,datePublished, andreviewBody.
- Keep reviews updated annually; remove outdated quotes or those from publications that no longer exist.
Troubleshooting checklist
- Missing ISBN warnings: double-check you provided a 13-digit string without hyphens or spaces.
- Incorrect bookFormat: use Schema.org enumerations (AudiobookFormat,EBook), not custom strings.
- Duplicate Book blocks: if your CMS auto-generates schema, disable it or ensure there isn’t conflicting JSON‑LD.
- Outdated prices: set a process to update both content and schema when pricing changes to avoid policy issues.
- Mixed canonical references: ensure mainEntityOfPagepoints to the exact URL where the JSON‑LD lives.
Common Errors & Fixes
- Missing identifiers: supply a valid isbnor other recognized IDs.
- Ambiguous authorship: include an authorwith a clearname(and@type: PersonorOrganization).
- Inconsistent format info: use bookFormatto specify edition/format; link other editions viaworkExample.
- No availability info: add Offers with price,priceCurrency, andavailabilityfor purchasable editions.
- No cover image: include at least one high-quality cover image URL so searchers recognize the title.
Required properties
name
Recommended properties
author.nameisbnimagebookFormatdatePublishedpublisher.nameworkExampleoffers.priceoffers.priceCurrencyaggregateRating.ratingValueaggregateRating.ratingCount
{
"@context": "https://schema.org",
"@type": "Book",
"name": "Mastering Structured Data",
"author": {
"@type": "Person",
"name": "J. Example"
},
"isbn": "9781234567897",
"image": [
"https://example.com/images/mastering-structured-data.webp"
],
"datePublished": "2024-10-01",
"publisher": {
"@type": "Organization",
"name": "Example Press"
},
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.6",
"ratingCount": "87"
}
}