Puzzle Book Niche Radar – Amazon.fr & .de (KDP)
Pricing
$150.00 / 1,000 niche reports
Puzzle Book Niche Radar – Amazon.fr & .de (KDP)
KDP niche research for puzzle & activity books (word search, sudoku, crosswords, logic, coloring) on Amazon.fr and Amazon.de: real BSR, reviews, EUR prices, launch waves, large-print share and a transparent opportunity score per keyword.
Pricing
$150.00 / 1,000 niche reports
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Puzzle & Activity Book Niche Radar — Amazon.fr & Amazon.de
Niche research for puzzle and activity books (word search / mots mêlés / Wortsuche, sudoku, crosswords / mots fléchés / Schwedenrätsel, logic grids / logigrammes / Logicals, coloring, mazes, brain training, nostalgia quizzes, kids' activity books) on Amazon.fr and Amazon.de, built for KDP publishers who sell in French and German.
For every keyword you get one niche report: how many results Amazon shows, the real Best Sellers Rank (BSR) of the top organic books, review counts, EUR prices, publication dates, and a transparent opportunity score whose formula is documented below — no black box.
Why this Actor (vs. generic KDP analyzers)
- FR/DE first. French and German result-count strings, BSR lines ("Nr. 4.469 in Bücher", "3 247 en Livres"), German/French publication dates and EUR prices are parsed natively.
- Puzzle-book specific signals that generic analyzers don't compute:
puzzleTypeMix— which puzzle formats dominate the top results (FR/DE/EN vocabulary).shareLargePrint— share of large-print titles (gros caractères / Großdruck / XXL).- Launch-wave detection —
shareLaunchesLastNDaysandnewestLaunches: spots seasonal gold rushes (e.g. a flood of new Christmas word-search books with zero reviews) before you join them. shareNearDuplicateTitles— share of top titles that are near-copies of each other, a hint of mass-produced low-content saturation.shareIndependentlyPublished— how much of the top is self-published vs. traditional publishers.
- Keyword batch mode with per-keyword store routing:
fr: logigrammes,de: logicalsin one run. - One clean row per niche, with the top books nested as evidence.
Input
| Field | Description |
|---|---|
keywords | List of keywords. Prefix fr: / de: to force the store per keyword. |
marketplace | amazon.fr, amazon.de or both (for keywords without prefix). |
category | books (default), kindle, all. |
maxResultsPerKeyword | Organic results opened per keyword (3–30, default 10). Sponsored results are excluded. |
fetchProductDetails | Open product pages for BSR, publication date, publisher, pages (default true). |
recentLaunchDays | Window for "recent launch" detection (default 90). |
delaySeconds | Polite randomized delay between page loads (default 3 s). |
proxyConfiguration | Residential proxy in the store's country recommended (also gives local delivery address + local-VAT prices). |
Example:
{"keywords": ["fr: logigrammes", "fr: nés en 1956", "de: rätselbuch jahrgang 1956", "de: sudoku großdruck"],"category": "books","maxResultsPerKeyword": 10}
Output (one item per keyword × store)
Key fields: keyword, marketplace, searchUrl, resultCount, resultCountIsLowerBound (Amazon shows "over 1,000" style counts), medianBsr, top3MedianBsr, bestBsr, medianReviews, shareUnder20Reviews, shareZeroReviews, medianPriceEur, medianAgeDays, shareLaunchesLast90Days, newestLaunches, shareLargePrint, puzzleTypeMix, shareNearDuplicateTitles, demandScore, competitionEaseScore, floodPenalty, opportunityScore, verdict, scoreConfidence, and topProducts[] (title, ASIN, URL, price, currency, BSR, category and sub-category ranks, rating, review count, publication date, publisher, pages, language, puzzle types, large-print flag).
Opportunity score (0–100) — formula
Demand (0-100) = 100 × clamp( (log10(500000) − log10(top3MedianBsr)) / (log10(500000) − log10(5000)) )→ median BSR of the 3 best-ranked top books: 5,000 or better = 100, 500,000 or worse = 0ReviewEase = 100 × clamp( 1 − log10(1 + medianReviews) / log10(501) ) (500+ median reviews = 0)LowReviewShare = 100 × share of top organic books with < 20 reviewsResultCountEase = 100 × clamp( 1 − (log10(resultCount) − 2) / (log10(50000) − 2) ) (100 results = 100, 50,000 = 0;neutral 50 if Amazon's count is missing or smaller than the results shown → resultCountSuspect)CompetitionEase = 0.5 × ReviewEase + 0.3 × LowReviewShare + 0.2 × ResultCountEaseFloodPenalty = if shareZeroReviews ≥ 0.30 : min(20, 20 × shareLaunchesLastNDays) else 0(pre-orders with a future date are counted in `preorders`, not as launches)Opportunity = clamp( 0.4 × Demand + 0.6 × CompetitionEase − FloodPenalty , 0, 100 )Verdict = "low demand" if Demand < 25; "opportunity" if ≥ 60 and CompetitionEase ≥ 45; "possible - needs a strong angle" ≥ 45; else "saturated"Confidence = high (≥5 BSRs read), medium (3–4), low (<3)
BSR is a sales-velocity proxy, not a sales figure; this Actor does not invent sales estimates. Thresholds are constants at the top of src/metrics.py.
Pricing
Pay per event: $0.15 per niche report — one report = one keyword on one Amazon store, with up to maxResultsPerKeyword books analyzed (BSR, reviews, price, publication date). Reports that end as blocked or empty are not charged. Example: 4 keywords on one store = 4 reports = $0.60.
Tip: set a maximum cost per run in the run options if you want a hard budget cap.
Limits & good practice
- Data is read from public Amazon pages; Amazon may show CAPTCHAs. The Actor runs sequentially with delays and retries, and reports
status: "blocked"instead of guessing. - Without a proxy in the store's country, Amazon may show a non-EU delivery address; prices are still forced to EUR via the store currency setting but may differ slightly from local-VAT prices. Check
priceCurrencies. - Use the results as research evidence, not as a guarantee of sales. Respect Amazon's terms of use and KDP content guidelines.
En bref (FR)
Analyse de niches KDP pour livres de jeux et d'activités sur Amazon.fr et Amazon.de : nombre de résultats, BSR réel des meilleurs livres, avis, prix en euros, dates de parution, vagues de lancements récents, part de gros caractères et score d'opportunité transparent (formule ci-dessus). Préfixez un mot-clé par fr: ou de: pour choisir la boutique.
Kurz (DE)
KDP-Nischenanalyse für Rätsel- und Beschäftigungsbücher auf Amazon.de und Amazon.fr: Trefferanzahl, echter Bestseller-Rang der Top-Bücher, Bewertungen, Euro-Preise, Erscheinungsdaten, Erkennung von Veröffentlichungswellen, Großdruck-Anteil und ein transparenter Opportunity-Score (Formel oben). Mit de: oder fr: vor dem Suchbegriff wählen Sie den Marktplatz.