The Romance List — Movies & TV Manager
Feature an author's book at the top of your Browse page for 7 days. Maximum 5 spots at a time. You collect payment directly from the author.
Create and edit articles. New articles are stored in the database and served automatically.
Backs up your entire site: book database, articles, spotlight, movies/TV, analytics, and applications. Runs automatically every day — last 7 backups kept.
Each run fetches 10 books from Amazon and AI-tags any new ones (~15 seconds). Already-tagged books are skipped.
The nightly job auto-advances through all 20 pages (200 books). Use Auto-advance to continue, or pick a specific page.
Re-runs AI tagging on every book with the latest improved prompt. Fixes missing cat/dog/animal tags, christmas, witches etc. Runs 1 book/second — leave tab open. Has a Stop button.
Finds all books missing cover images and fetches them fresh from Amazon. Run this once to fix books tagged before covers were saved.
Search Amazon for all Kindle books by an author and import them all at once. Fetches up to 50 books (5 pages × 10). Already-imported books are skipped.
Note: Amazon's API returns the most relevant results for the author name — not every book they've ever written. For complete coverage, also use the Bulk ASIN Import below.
Paste any number of Amazon ASINs — even 1000+. Already-tagged books are skipped instantly. Processes automatically in batches so nothing times out. Leave this tab open while it runs.
Find an ASIN: go to any Amazon book page → look at the URL for the 10-character code after /dp/ — e.g. amazon.com/dp/B0GFPB14XZ
Scans your database for books with non-English titles (Spanish Edition, édition française, etc.). No AI needed — instant results. You can then review and remove them from the Bulk Tag Editor.
Scans your existing books and flags any that aren't romance books. Uses a lightweight AI check (~5x cheaper than full tagging). Flagged books will then appear in the Bulk Tag Editor under "⚠️ Flagged NOT Romance" filter.
Rapidly rebuild your database. This runs through Amazon's romance catalog and AI-tags every book it finds. Already-tagged books are skipped.
Paste one or more ASINs (one per line, or comma/space separated). They'll be removed from the database and won't be re-tagged.
If books were accidentally deleted, click below to restore from the last automatic backup (created before every bulk removal).
The tagging job runs automatically every night at 2am UTC. Here's the rotation:
| Day | What it tags |
|---|---|
| Sunday | Featured page 1 |
| Monday | Featured page 2 |
| Tuesday | Featured page 3 |
| Wednesday | Featured page 4 |
| Thursday | Featured page 5 |
| Friday | Newest arrivals page 1 |
| Saturday | Newest arrivals page 2 |
Filter books, select them, then apply or remove tags from all selected at once.
Review author spotlight applications submitted via /spotlight.
All data is from your own visitors — no third-party trackers.
Click a time range above to load your analytics.