This Val automatically enriches your existing "val Book Lookup" database by fetching comprehensive metadata from Google Books API.

You already have the perfect setup! Your "val Book Lookup" database contains:

• Title ✓
• Author ✓
• ISBN ✓
• Year Published ✓
• Page Count ✓
• Publisher ✓

The Val will:

1. Find records with Title + Author but missing other data
2. NEW: Find records with ISBN but missing Title + Author
3. Search Google Books API for metadata
4. Fill in the empty fields automatically

1. Add books to "val Book Lookup" → Enter either:
   • Title + Author (traditional method), OR
   • Just ISBN (new method!)
2. Press the button (visit your Val URL) → It fills in all available metadata
3. Link to your main Books database via Relations/Rollups

Method 1: Title + Author (your existing workflow)

• Add Title and Author to a new record
• Script finds ISBN, year, page count, publisher, etc.

Method 2: ISBN Only (new capability!)

• Add just the ISBN to a new record
• Script finds Title, Author, year, page count, publisher, etc.
• Perfect for when you have a book in hand but don't want to type the details

1. Add books to "val Book Lookup" → Enter either:
   • Title + Author (traditional method), OR
   • Just ISBN (new method!)
2. Press the button (visit your Val URL) → It fills in all available metadata
3. Link to your main Books database via Relations/Rollups

Method 1: Title + Author (your existing workflow)

• Add Title and Author to a new record
• Script finds ISBN, year, page count, publisher, etc.

Method 2: ISBN Only (new capability!)

• Add just the ISBN to a new record
• Script finds Title, Author, year, page count, publisher, etc.
• Perfect for when you have a book in hand but don't want to type the details

Your script pulls comprehensive data from Google Books API:

Core Fields (currently in your table):

• ✅ ISBN - Prefers ISBN-13, falls back to ISBN-10
• ✅ Year Published - Extracted from publication date
• ✅ Page Count - Direct from Google Books
• ✅ Publisher - Direct from Google Books
• ✅ Description - Available (add column to see it)

Rich Metadata Available (add these columns to capture):

• Subtitle (Rich text) - Book subtitle
• Categories (Multi-select) - Genre/subject categories
• Average Rating (Number) - Google Books rating
• Ratings Count (Number) - Number of ratings
• Language (Rich text) - Book language
• Published Date (Rich text) - Full publication date
• Preview Link (URL) - Google Books preview
• Info Link (URL) - Google Books info page
• Image Links (Rich text) - Book cover images (JSON)

Your system is already configured! Just make sure:

• NOTION_API_TOKEN points to your integration
• NOTION_DATABASE_ID points to your "val Book Lookup" database

To process all incomplete records: Visit: https://your-val-url.web.val.run/

To check system status: Visit: https://your-val-url.web.val.run/status

To process a specific record: Visit: https://your-val-url.web.val.run/process/RECORD_ID

To see all available endpoints: Visit: https://your-val-url.web.val.run/help

To connect your "val Book Lookup" to your main reading database:

1. Add Relation Property to your main Books database:

   • Name: "Book Info"
   • Type: Relation
   • Related database: "val Book Lookup"

2. Add Rollup Properties to show metadata:

   • ISBN: Rollup → Book Info → ISBN
   • Year: Rollup → Book Info → Year Published
   • Pages: Rollup → Book Info → Page Count
   • Publisher: Rollup → Book Info → Publisher

Now when you add a book to your main database, just link it to the corresponding record in "val Book Lookup"!

• GET / - Process all incomplete records
• GET /status - Check configuration
• GET /process/:recordId - Process specific record
• GET /health - Health check

• /backend/index.ts - Main HTTP handler with manual trigger
• /backend/notion.ts - Notion API integration with comprehensive metadata support
• /backend/books.ts - Google Books API with extensive metadata extraction
• /backend/processor.ts - Processing logic for enriching records

✅ Works with your existing setup
✅ Comprehensive Google Books metadata (15+ fields available) ✅ Smart matching algorithm (exact + relaxed search) ✅ Only fills empty fields (preserves your data) ✅ Manual button-press execution (no unwanted automation) ✅ Links to your reading database via Relations/Rollups ✅ Expandable with more metadata columns (just add them to Notion)