📚 Amazon KDP Book Niche Analyzer: Self Publishing Niche Research

Spot a winnable KDP niche before you write a single page Amazon KDP niche research in bulk: real Best Sellers Rank, pricing, and review evidence for every competing book, so your self publishing niche research rests on data instead of guesses.

📊 Real sales-rank evidence Every book comes with its genuine Kindle Store Best Sellers Rank and category ranks.

🛡️ Scores that refuse to guess Opportunity scores stay hidden until there is enough evidence to trust them.

🧾 Niche verdict rows Switch on one extra row per keyword with a score, verdict, medians, and common title phrases.

🔔 Scheduled niche monitoring Re-check a niche automatically and see what changed since the last look.

This KDP book niche analyzer compares Kindle niches before you spend time writing, designing, or publishing. Built for KDP self-publishers, low-content publishers, coaches, and book-market researchers who want a repeatable research file instead of dozens of browser tabs.

💡 Why use it

Manual niche checks make it hard to compare ideas fairly. One search result page may look promising until you inspect the competing books, their BSR, price points, and age.

This actor puts comparable public evidence beside each keyword, which makes self publishing niche research repeatable. It helps you shortlist niches, review direct competitors, and save a baseline for later checks. The scores explain what they used. They do not pretend to know exact sales or search volume.

🧭 How it works

STEP 1 Add your niche ideas Enter Kindle keywords, paste Amazon search links, or paste direct book links for known competitors.

STEP 2 Set your research depth Choose how many books to inspect per keyword and whether to add a verdict row per niche.

STEP 3 Compare and decide Review ranked book evidence and niche verdicts, then schedule repeat checks on niches worth watching.

The actor researches the US Kindle Store. It does not require a Kindle or Amazon account.

📥 Input

Field	Type	Required	Description
Keywords	array of strings	No*	One Kindle niche phrase per line, such as gratitude journal or meal planner for women. Amazon search links work too.
Book URLs	array of URLs	No*	Amazon.com Kindle book pages to inspect when you already know the competing titles.
Max books per keyword	integer	No	Kindle books analyzed for each keyword. Amazon lists about 16 books on its first results page.
Add a niche verdict row	boolean	No	Adds one extra row per keyword with the opportunity score, verdict, confidence, medians, and common title phrases.
Monitor changes	boolean	No	Compare later scheduled runs with the saved baseline and return detected changes.
Proxy configuration	object	No	US traffic is enforced so Kindle prices come back in dollars.

*Provide at least one keyword or one book URL. Use book URLs for a focused competitor review and keywords for an organic niche comparison. An empty input ends the run with a clear message and no charge.

Older inputs keep working. Keyword suggestions come back for every keyword you list, and you can choose to analyze them as extra niches. Each niche summary also shows the common title phrases competing sellers use.

📤 Output

Each run writes one analyzed book record per successful book-keyword observation to the default dataset. These rows are the exportable evidence and the only records included in the published per-book event contract. Niche summaries make comparisons easier and are available in the named niche-summaries dataset and the NICHE_SUMMARY / NICHE_SUMMARIES key-value-store records. Prefer everything in one table? Switch on Add a niche verdict row and each keyword also gets a NICHE row in the results, shown in the Niche verdicts view. Each niche row counts as one result.

Organic rank means a book's position in the collected Kindle search results. It is not an Amazon bestseller rank.

Use the default dataset for direct competitor review and a CSV of the evidence. Use the niche verdict rows or the named niche-summary output for a compact comparison shortlist.

primaryOutput: "NICHES" is deprecated for legacy API callers. New Console inputs do not expose it, and future releases treat book records as the default dataset output in every workflow.

With monitoring enabled, later scheduled runs compare visible public data with the stored baseline. Monitoring starts when you run it. It does not create historical data from before the first run.

📊 Data table

Field	Type	Description
recordType	string	BOOK for analyzed books. NICHE for the optional verdict row per keyword.
marketplace	string	Marketplace scope for the collected record.
sourceMode	string	Shows whether the record came from a keyword search or direct book page.
keyword	string	The supplied keyword tied to the record.
searchPage	integer	Kindle search results page used for discovery.
title	string	Public Kindle book title, when the record is a book.
author	string	Public author or contributor name, when shown.
asin	string	Amazon Standard Identification Number for a book, when shown.
detailUrl	URL	Public Kindle book page used for the evidence.
organicPosition	integer	Position in the collected Kindle search results for the analyzed keyword.
bsrOverall	integer	Visible Best Sellers Rank in the Kindle Store. A lower number indicates a stronger visible rank.
bsrOverallCategory	string	Kindle Store category paired with the overall BSR.
bsrCategoryRank	integer	Visible rank in the book's top listed category.
bsrCategoryName	string	Name of the book's top listed category.
categoryRanks	array of strings	Visible category ranks shown for the book.
categoryRankDetails	array of objects	Structured category rank details shown for the book.
format	string	Edition format shown on the Kindle book page.
price	number	Public listed price when available.
currency	string	Currency displayed with the listed price.
listPrice	number	Public list price when available.
discountPercent	number	Visible percentage discount when available.
rating	number	Public average customer rating when available.
ratingCount	integer	Public rating count when available.
ratingStatus	string	Availability status of the public rating signal.
reviewCount	integer	Public review count when available.
pageCount	integer	Page count when shown on the book page.
publisher	string	Public publisher name when shown.
publisherType	string	Publisher classification when available.
publishDate	string	Public publication date, when available.
publicationAgeDays	integer	Age in days calculated from the visible publication date.
language	string	Book language when shown.
coverImageUrl	URL	Public cover image link when available.
description	string	Public book description when available.
booksAnalyzed	integer	Number of books included in a niche summary.
medianBsrOverall	number	Median visible Kindle Store BSR in the niche sample.
medianPrice	number	Median observed price in the niche sample.
medianRatingCount	number	Median observed rating count in the niche sample.
lowReviewShare	number	Share of observed books with 20 or fewer ratings.
authorityBookShare	number	Share of observed books with at least 1,000 ratings.
recentBookShare	number	Share of observed books published within the previous 365 days.
independentPublisherShare	number	Share of classified books identified as independently published.
scoreComponents	object	Demand, review-ease, and competition-ease components behind the opportunity score.
opportunityScore	integer	Combined comparison signal when the sample has sufficient evidence. It is not a sales or search-volume estimate.
opportunityLabel	string	Plain-language interpretation of the opportunity score.
confidence	integer	Confidence based on sample size and BSR and rating-count coverage.
scoreFormula	string	Exact formula used for the niche score.
warnings	array of strings	Evidence, crawl-coverage, or collection warnings.
commonTitlePhrases	array of objects	Two-to-three word phrases repeated across the analyzed titles of a niche, with the number of books using each.
monitoring	object	Baseline status and detected summary changes from a scheduled run.
scrapedAt	string	Time the public evidence was collected.

Fields appear only when the Kindle Store publicly shows the value. Missing data is not replaced with guesses.

🧮 How the scores stay explainable

Scores are comparison aids, not verdicts. Every niche summary includes its component signals and score method.

• Demand is calculated from the median public Kindle Store BSR in the collected sample.
• Ease starts with the median rating count, then accounts for the share of books with 1,000 or more ratings.
• Confidence reflects sample size plus BSR and rating-count coverage. It does not raise or lower the opportunity score.

demandScore = clamp(round(100 - 25 × log10(max(medianBsr, 1000) / 1000)), 0, 100)

reviewEase = clamp(round(100 - 20 × log10(max(medianRatingCount, 1))), 0, 100)

competitionEaseScore = round(0.7 × reviewEase + 0.3 × (100 - authorityBookShare × 100))

opportunityScore = round(sqrt(demandScore × competitionEaseScore))

confidence = round(100 × min(1, booksAnalyzed / 16) × min(bsrCoverage, ratingCoverage))

The actor omits the opportunity score when evidence is insufficient. It needs at least five books, three visible BSR values, three rating counts, and confidence of 50 or higher.

Treat the result as a transparent prioritization signal. Read the book rows before committing to a niche.

💰 Pricing

This Actor uses pay per event pricing. A small flat fee applies once a run starts, including an empty run, plus a fee for each book-keyword observation successfully returned to the default dataset. Failed or unavailable book pages are never charged.

Paid plans on Bronze, Silver, Gold, Platinum, or Diamond tiers receive a lower per-book rate than the Free plan. Check the Store pricing panel on this Actor's page for the exact current rates.

A book found for more than one requested keyword is billed once per keyword, since each observation carries distinct organic-position evidence.

Niche summaries in the key-value store and the named dataset, and monitoring comparisons, are supporting output and are free. Optional niche verdict rows in the results count as one result each. Set a run charge cap when you need strict budget control.

⭐ Enjoying Amazon KDP Book Niche Analyzer: Self Publishing Niche Research?

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🛠️ Tips for stronger research

• Compare related, specific phrases instead of a single broad term. teacher gratitude journal is usually more useful than journal.
• Turn on the niche verdict row to rank your shortlist, then inspect the default-dataset books behind the strongest and weakest signals.
• Read the common title phrases in each niche summary to see how competing sellers word their books, then test the strongest phrases as new keywords.
• Keep the same limits for each keyword when comparing niches. Uneven samples make scores less comparable.
• Schedule a monitoring run for a short list. It is useful for watching visible competition change before launch.

❓ FAQ

Does this report Kindle sales or keyword search volume?

No. It reports public Kindle Store evidence. BSR is a visible rank, not a sales figure, and common title phrases show how books are worded, not measured search volume.

Can I research several KDP niches in one run?

Yes. Add multiple keywords, then compare their supporting niche summaries alongside the default-dataset book evidence. Keep the same book limit for each keyword when you need a fair comparison.

How does monitoring work, and can I paste a known competitor book?

Run the same input on a schedule with monitoring enabled. Later runs compare visible public fields with the baseline stored by earlier monitored runs. To review a known competitor without a keyword search, add its Kindle book page under Book URLs.

Which Amazon store does it cover and do I need an account?

It researches the US Kindle Store in dollars. No Amazon, Kindle, or KDP account is needed, and no login or API key is required.

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