Open Library API

Build a reading tracker with genre trends and pace stats

Pull book metadata, covers, and editions for 20M+ titles. Build a reading log that tracks books per month, pages read, and genre patterns.

Completely free. No API key required.

Open Librarydocs →

How it works with Loony

Describe it.
Deploy it.
Query it.

Managed database.

Your Open Library data lives in its own Postgres instance. Zero config. Data accumulates over time.

Scheduled syncs.

Cron jobs run on Loony infra. Every minute on free. Your data stays fresh without you thinking about it.

REST + MCP endpoints.

Query from your agent, your dashboard, or connect BI tools directly. Full OpenAPI spec included.

TerminalSchema

$ "Sync my reading list with Open Library metadata. Track pages read per month, genre breakdown, and average book length trends."

✓ Schema validated
✓ Database provisioned
✓ Scripts deployed
✓ Schedules registered

Done.

# Your data is now at:
REST  /data/v1/open-library/query
MCP   /mcp/v1/open-library/mcp
SQL   psql $DATABASE_URL

What you get

Goodreads doesn't let you export easily. Open Library gives you the data; Loony gives you a permanent, queryable reading history. 'What genre do I read most in winter?' becomes a SQL query.

mv_reading_stats
  month         date        -- first of month
  books_read    integer     -- finished count
  pages_total   integer     -- total pages
  avg_pages     integer     -- per book
  top_genre     text        -- most read genre
  avg_rating    numeric     -- my average