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Digimart Japan Used Guitar & Instrument Prices

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from $20.00 / 1,000 keyword market summaries

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Digimart Japan Used Guitar & Instrument Prices

Digimart Japan Used Guitar & Instrument Prices

Type a keyword and get what about 2,000 Japanese music shops ask for used guitars and other instruments on Digimart. Returns typical price and range over all matching listings, plus used vs new price and condition counts from 100 sampled. $0.02 per keyword, no results = no charge. Unofficial.

Pricing

from $20.00 / 1,000 keyword market summaries

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h ichi

h ichi

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7 days ago

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What it does: Type a keyword and get what about 2,000 Japanese music shops are asking for used guitars, basses, keyboards and other instruments on Digimart.

You enter: model name, e.g. Stratocaster; optional category ID (1 = electric guitars, table below).

You get: typical price and lowest–highest over all matching listings (a long run says if it fell back to a sample); from the 100 cheapest sampled: used vs new price and discount, count by condition (new / used / vintage / outlet / B-stock), top brands, share in stock.

Price: $0.02 per keyword. +$0.002 per listing if you also want the list. No results = no charge.

Example: enter Stratocaster with no category ID → 8,940 listings found · typical price ¥159,800 (range ¥150–30,000,000) · of the 100 cheapest sampled, 86 are pickups and parts rather than guitars (91 new, 3 used, 3 vintage, 3 outlet) · top brand Fender — this is why the category ID is worth filling in (real run, 2026-08-17)

Unofficial — not affiliated with Digimart. Reads public pages only.

Pricing — $0.02 per keyword

EventPriceWhen
Keyword market summary$0.02Per keyword analyzed
Individual listing$0.002Only if you enable Include individual listings

A default run (1 keyword, summary only) costs $0.02. You pay per keyword; there is no monthly fee. A keyword that returns zero listings is never charged.

Input

FieldExampleNotes
keywords["Stratocaster"]Model names work best. Latin and Japanese both index. Each keyword costs $0.02
categoryId"1"Strongly recommended. 1 is electric guitars — see the table below. Without a category, parts share the keyword index with instruments: a Stratocaster search returns ¥150 switch tips and drags the low end of the price range down
maxItemsPerKeyword100Listings read for the condition / brand mix (30–400, 100 per page). Does not change the typical price or the lowest–highest range
includeIndividualItemsfalseEnable to also get each sampled listing as a record
convertToUsdtrueAdds USD stats at the current exchange rate

Category IDs — the numbers worth knowing

Digimart's category menu is in Japanese only, so here are the ones most keywords need. Measured on 2026-08-18: the count is the whole category, and the name is the one Digimart puts on that page.

categoryIdCategoryListings in it (2026-08-18)
"1"Electric guitars (エレキギター)61,805
"2"Acoustic and electro-acoustic guitars (アコースティックギター)24,490
"3"Bass guitars (ベース)20,294
"5"Drums and percussion (ドラム/パーカッション)41,888
"6"Synths and keyboards (シンセサイザー/キーボード)6,189
"12"Amps, amp simulators, tubes (アンプ)12,079
"13"Effects pedals for guitar and bass (エフェクター)48,904
"14"Guitar and bass supplies and accessories (サプライ/アクセサリ)60,695

For anything else, open the category on Digimart and copy the number out of the URL (…/search?categoryId=<number>).

What it is worth: measured on 2026-08-18, Stratocaster with categoryId: "1" returns 7,932 listings, all of them electric guitars, cheapest ¥5,500 — against 8,933 hits with no category, whose 100 cheapest are 86 parts and 8 accessories.

When a keyword comes back empty, or is answered by parts

Two fields say so, and hint says what to do next:

FieldValueWhat it means
keywordStatusokDigimart found listings under that name
keywordStatusnot_foundNothing matched. Try the model as the maker writes it, in Latin or Japanese — both are indexed (Stratocaster 8,933, ストラトキャスター 5,730, measured 2026-08-18)
mixedKeywordLikelytrueNo category was set and the cheapest listings are mostly parts, accessories or sheet music, so the price numbers describe those. Set a categoryId from the table above
hintone sentence, or nullThe next thing to try. null when neither of the two above applies

A keyword that returns nothing is never charged, so trying another spelling costs nothing.

Where each price number comes from — every record says so

Every record carries priceJpyBasis, so you never have to guess whether a number covers every listing or only a sample:

priceJpyBasisWhat it meansHow it is obtainedWhen you get it
exactThe numbers cover every matching listingThe whole result set fits on one page (≤100 hits) — 1 requestNarrow keywords
population_quantilesThe typical price, the middle 50% range and the lowest–highest range are read from every matching listing (not a sample), count = the full number of hitsListings are sorted cheapest first and the Actor jumps straight to the page holding the listing at each cut-off point (middle, and the two ends of the middle 50%), plus one page sorted the other way for the highest price — 5 requestsMost keywords
sampleThe numbers cover only the listings actually read, count = how many that wasFallback. Used when the price order turns out not to rise steadily from page to page, or when a multi-keyword run hits its time budget (then truncatedForTimeLimit: true is also set)Rare

The fallback is the point: if Digimart ever changes its sort behaviour, the Actor stops saying the numbers cover every listing instead of quietly returning wrong ones.

usedPriceJpy, newPriceJpy, usedVsNew, conditionBreakdown, brandTop, categoryTop and inStockRatioSampled always come from the sampled listings only (sampledListings tells you how many). With the default maxItemsPerKeyword: 100 the sample is the 100 cheapest listings; raise it to 200/400 and the sample is automatically spread across the price range using the cut-off pages the Actor reads anyway — no extra requests, no extra time.

Output example (type: "market_summary")

Measured on 2026-08-17 (real run, Stratocaster with no categoryId). The whole record, nothing shortened. keywordStatus, mixedKeywordLikely and hint were added on 2026-08-18 and are shown with the values this record produces — its top category is parts, which is exactly what the flag is for.

{
"type": "market_summary",
"keyword": "Stratocaster",
"categoryId": null,
"totalListingsFound": 8940,
"sampledListings": 100,
"keywordStatus": "ok",
"mixedKeywordLikely": true,
"hint": "Most of the cheapest listings here are parts and accessories, not instruments. Set categoryId (1 electric guitar, 2 acoustic guitar, 3 bass, 6 synth/keyboard, 12 amp, 13 effects pedal) to measure instruments only.",
"priceJpy": { "min": 150, "q1": 99000, "median": 159800, "q3": 286800, "max": 30000000, "count": 8940 },
"priceJpyBasis": "population_quantiles",
"usedPriceJpy": { "min": 150, "q1": 935, "median": 1430, "q3": 1760, "max": 1760, "count": 6 },
"newPriceJpy": { "min": 275, "q1": 718, "median": 990, "q3": 1204, "max": 1760, "count": 94 },
"usedVsNew": { "usedMedianJpy": 1430, "newMedianJpy": 990, "discountVsNewPct": -44.4 },
"conditionBreakdown": { "new": 91, "used": 3, "vintage": 3, "new_outlet": 3, "b_stock": 0 },
"inStockRatioSampled": 0.93,
"brandTop": [["Fender", 70], ["ALLPARTS", 15], ["ghs", 4], ["リットーミュージック", 4], ["Squier by Fender", 3]],
"categoryTop": [["ギター・ベース用ピックアップ/パーツ", 86], ["ギター・ベース用サプライ/アクセサリ", 8], ["楽譜/教則/書籍", 5], ["ダウンロード楽譜", 1]],
"checkedAt": "2026-08-17T17:45:11.069575+00:00",
"sourceUrl": "https://www.digimart.net/search?keyword=Stratocaster&readCount=100&currentPage=1&sortKey=PRICE_ASC",
"priceUsd": { "min": 0.94, "q1": 621.82, "median": 1003.7, "q3": 1801.39, "max": 188430.0 },
"exchangeRateJpyUsd": 0.006281
}

This run was made with no categoryId on purpose, and it shows what that costs: categoryTop says 86 of the 100 sampled listings are pickups and parts, brandTop is led by Fender but carries the parts maker ALLPARTS, and usedVsNew.discountVsNewPct comes out at −44.4% — the used instruments sit above the "new" side because that side is dominated by cheap parts. The whole-search priceJpy still covers all 8,940 matches, but its ¥150 low end is a part, not a guitar. That is exactly the artefact categoryId removes — and the Actor reports the number rather than hiding it.

What this Actor does not do

  • No listing dumps by default. The product is the statistic; individual listings are opt-in and separately priced
  • No login-only data. Everything comes from public search pages
  • Nothing is stored. Every run reads the site live; nothing is kept between runs
  • No seller PII. Shop-level names only, never individuals

Notes on the data

  • Condition codes come from Digimart's own instru_type field: 1 new, 2 used, 3 vintage, 4 new-outlet, 5 B-stock. They are read from the structured payload the site emits, not guessed from the title
  • sortKey is always sent explicitly. The platform default is a relevance order that would skew every price statistic — the same trap as a portal's "recommended" sort
  • Parts noise is real. Use categoryId for any keyword that names an instrument shape rather than a specific model; the record says mixedKeywordLikely: true when it happened
  • Prices are the listed asking prices including tax as shown by the seller; Digimart is a listing platform, so these are asking prices, not sold prices

If something goes wrong

  • Wrong number or a failed run? Open a ticket on the Issues tab. I read every one and reply within 2 business days (Japan time).
  • You never get a fake "empty" result. If the site can't be read, the run fails and says so.
  • No results = no charge. You only pay for results you actually get.
  • Checked every week. An automatic test runs this tool weekly; if the site changes, I fix it.
  • Public pages only. No login, no personal data, and it goes easy on the site.

More tools by the same author

Other language editions of this tool: 中文

All tools (Japan marketplaces, real estate, jobs, racing, prediction markets): https://apify.com/jpmarketdata

Disclaimer

Unofficial, independent tool — not affiliated with, endorsed by, or sponsored by Digimart. Product names and logos belong to their owners and only say where the data comes from. Data is read from public pages, for market research; check before you act on it.