📚 KDP book niche analyzer

Find out if a self-publishing niche is worth writing for, before you write a single page.

KDP book niche analyzer searches the Kindle Store for any keyword or genre, such as "gratitude journal", "nurse planner", or "dog mom notebook". It pulls Best Sellers Rank, category rank, price, rating, review count, page count, and publish date for every matching book, then rolls the whole niche up into one plain-English competition score.

🔍 What does KDP book niche analyzer do?

Type in a keyword and this actor searches the Kindle Store on your behalf. For every book it finds, it visits that book's own page and reads its real sales signals: Best Sellers Rank, every category it ranks in, price, star rating, review count, page count, publisher, and publish date.

Most niche research tools stop at review count and star rating. Those numbers tell you how a book was received, not whether it is actually selling. Best Sellers Rank is the number Amazon itself uses to signal real sales volume, and this actor is one of the very few tools that pulls it for you automatically, at scale, across an entire keyword.

💡 Why use KDP book niche analyzer?

• I am a low content book publisher scouting my next journal or planner idea, and I want to know how many other books already dominate that keyword before I invest a week designing one.
• I am a fiction or nonfiction self-publisher checking whether a genre keyword is crowded with established, high-selling titles or still has room for a new release.
• I am a KDP coach or course creator who needs fresh, real examples of saturated versus open niches to show students, instead of screenshots that go stale in a month.
• I am a book marketing agency running niche viability checks for multiple author clients before recommending which title idea to greenlight.

🚀 How to use KDP book niche analyzer

1. Open the actor and type in a niche keyword, like "gratitude journal" or "productivity planner".
2. Set how many books you want analyzed, or leave the default for a quick first look.
3. Click Start and let the actor search the Kindle Store and read each book's own page.
4. Open the Dataset tab for every book's full data, and check the Key-value store tab for the one-line niche summary and competition score.

📥 Input

Field	Type	Required	Description
Niche keyword	string	Yes	A Kindle Store keyword or genre to research, for example "gratitude journal", "nurse planner", or "dog mom notebook".
Max books	integer	No	Maximum number of book records to return. Use 0 for no limit.
Fetch book detail pages	boolean	No	When enabled (default), visits each book's own page for Best Sellers Rank, category, format, page count, and publish date. Disable for a faster, lighter run when you only need a raw list of matching titles.
Include niche summary	boolean	No	When enabled (default), adds one extra summary record with the median Best Sellers Rank, price band, review spread, and a documented competition score for the whole niche.
Proxy configuration	object	No	Leave on the default setting. It is already targeted to return US pricing.

📤 Output

Each dataset row is one book, with its real sales and listing signals.

{
    "asin": "B0GBVMTCQK",
    "title": "90 Day 5-Min Gratitude Journal (Kindle Scribe Only): A Guided Daily Practice for Happiness, Abundance, Affirmation & Reflection, Undated Daily Journal for Women & Men",
    "author": "Luna Grove",
    "format": "Kindle Edition",
    "price": 3.99,
    "currency": "$",
    "rating": 5,
    "reviewCount": 1,
    "bsrOverall": 402322,
    "bsrOverallCategory": "Kindle Store",
    "bsrCategoryRank": 13,
    "bsrCategoryName": "Guided Journals (Kindle Store)",
    "categoryRanks": [
        "#13 in Guided Journals (Kindle Store)",
        "#64 in Journal Writing",
        "#155 in Journaling"
    ],
    "pageCount": 107,
    "publishDate": "December 29, 2025",
    "detailUrl": "https://www.amazon.com/dp/B0GBVMTCQK",
    "keyword": "gratitude journal",
    "scrapedAt": "2026-07-04T20:06:51.483Z"
}

Every run also writes one extra niche summary record to the key-value store, so you get a single, plain-English verdict on top of the raw book list:

{
    "keyword": "gratitude journal",
    "booksAnalyzed": 5,
    "booksWithBsr": 5,
    "medianBsrOverall": 604314,
    "medianPrice": 0.99,
    "medianReviewCount": 10,
    "medianRating": 4.75,
    "priceMin": 0.99,
    "priceMax": 14.16,
    "opportunityScore": 40,
    "opportunityLabel": "Medium competition"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

📊 Data table

Field	Type	Description
asin	string	The book's unique Amazon identifier.
title	string	The book's title, exactly as listed.
author	string	The author or brand name on the listing.
format	string	The edition analyzed, always Kindle Edition.
price	number	The book's current listed price.
currency	string	The currency symbol the price was shown in.
rating	number	Average star rating, when the book has any ratings yet.
reviewCount	number	Total number of customer reviews.
bsrOverall	number	Best Sellers Rank in the overall Kindle Store. Lower means more sales.
bsrOverallCategory	string	The store the overall rank was measured against.
bsrCategoryRank	number	The book's rank in its top listed category.
bsrCategoryName	string	The name of that top category.
categoryRanks	array of strings	Every category rank the book holds, not just the top one.
pageCount	number	Print length in pages, useful for sizing low content books.
publisher	string	The publishing name on record, when shown.
publishDate	string	When the book was published.
detailUrl	string	Direct link back to the book's own page.
keyword	string	The niche keyword this book was found under.
scrapedAt	string	The date and time the record was collected.

Every field is only included when Amazon actually published it. This actor never fills in placeholder text for missing information, so your dataset stays genuine and trustworthy.

💰 Pricing

KDP book niche analyzer is pay per result. You only pay for books actually returned, and a run that finds nothing costs nothing. There are no subscriptions or monthly minimums. Check the Pricing tab on this actor's page for the current rate.

🧭 Tips for best results

• Try a specific, long-tail keyword first, like "nurse graduation journal" instead of just "journal". Niche keywords give you a truer read on real competition.
• Watch the niche summary's competition score alongside the price band. A niche with a low score but a wide price range often still has room for the right positioning.
• Some books are brand new and have not earned a rating or review yet. That is normal, not a missing-data problem, and it is itself a useful signal about how fresh a niche's competition is.

❓ FAQ

How is the competition score calculated? It is built from the actual median Best Sellers Rank and median review count of the books this actor found, with the exact formula included in every niche summary record. Nothing about it is hidden or guessed.

Why does this actor use Best Sellers Rank instead of just review count? Review count tells you how many people left feedback. Best Sellers Rank is the signal Amazon itself uses to reflect real, recent sales volume, which is what actually matters when deciding if a niche is worth entering.

Does this actor work for physical books too, or only Kindle? It searches and analyzes Kindle Store editions specifically, since that is where most self-publishers launch first and where niche research matters most.

Will I always get a price and rating for every book? No, and that is expected. Brand new listings sometimes have no reviews yet, and some books do not display a price the same way. This actor only reports what Amazon has actually published for that title.

I found a bug or a keyword that returns strange results. What should I do? Open an issue on this actor's Issues tab with the keyword you used and a description of what went wrong. If you need a custom research tool built around your own workflow, reach out and we're happy to help.