Etsy Keyword Research + Reverse Keyword Tool

Etsy keyword research scored on Etsy's own live data — real shopping‑cart counts, sales in the last 90 days, exact listing counts, badge saturation and price tiers. Not search‑volume guesses like eRank, Everbee or Marmalead — measured signals, straight from Etsy.

Every run builds a self‑contained visual dashboard ("Keyword Scout", above) in the Output tab — KPI cards, an Opportunity Matrix, a sortable keyword table, a market snapshot, and a click‑through detail panel. No login, no proxies, no setup.

Reading the Intent column (the coloured tags above): it's Etsy's own Query Intent Specificity for each search — 🟢 Specific = buyer‑ready (e.g. "canva pro unlock"), 🟡 General = knows the product type but not the specifics ("canva template"), ⚪ Broad = just browsing ("gift"). A Broad term can have huge demand and carts yet few real buyers — Intent tells you which high‑demand keywords are actually worth chasing.

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Three ways to run

Pick one mode (you can combine the first two):

🌱 Keyword research — seeds

{ "seeds": ["ceramic mug"], "depth": 2, "maxKeywords": 40 }

One seed → its whole long‑tail universe, every keyword scored 0–100 on demand / competition / margin → opportunity, with a letter grade and a plain‑English verdict. Feed several seeds to compare themes. ~1 minute.

🔄 Reverse keyword — competitor listings

{ "reverseListingUrls": ["https://www.etsy.com/listing/1112702820/x", "1348120443"] }

Paste competitor listings and get Etsy's own "Related searches" for each — the actual queries Etsy maps to that listing — scored like any keyword. Most tools guess a rival's keywords; this reads them from Etsy's listing→search graph. Sort by opportunity to find the ones you can win.

🏪 Whole‑shop reverse — a shop name

{ "shopName": "BlissAndBranches", "maxShopListings": 80 }

Finds every listing in the shop and pulls Etsy's "Related searches" for each — every search Etsy associates with every listing — deduped and scored. The dashboard switches to a listing‑centric layout (one card per listing → its searches).

Whole‑shop runs by itself. When shopName is set, the seeds and competitor listings are ignored — it's a dedicated mode, capped by maxShopListings (~1 request per listing). Brand‑new listings won't have "Related searches" yet, so the count can be lower than the shop's listing total — that's expected, and the run tells you how many were skipped.

Every run pulls fresh, live data — nothing is cached between runs.

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📊 The dashboard ("Keyword Scout")

Saved to the run's key‑value store as dashboard.html — self‑contained, no dependencies, with an ⬇ Export PDF button. It adapts to how you ran it.

Keyword / seed runs give you three views:

• ▦ Table (above) — sortable, searchable keyword table + an insights sidebar (Opportunity Matrix, Market snapshot, top categories, grade mix) and a click‑through detail drawer.
• ▥ Overview — KPI cards, a Top‑opportunities bar chart, and category cards.
• ▤ Console — a power view: a category‑filter rail, a dense table, and a persistent detail panel.

Reverse / whole‑shop runs swap in a listing‑centric layout: 🏪 By listing (each listing → its searches), ▦ Searches (the full scored table), and ▥ Overview.

The detail panel (click any keyword) is organised into tabs — Overview / Demand / Competition / Pricing — with a radial opportunity gauge, a keyword‑profile radar, the niche's "trust wall" (typical competitor's reviews & sales), price tiers, and related keywords, plus View on Etsy and Copy buttons.

The Opportunity Matrix plots every keyword by demand (y) vs competition (x) — top‑left is the sweet spot; bubble size = live carts; colour = grade. Export PDF saves or shares a copy in one click.

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What you get per keyword

Demand — avg_carts (mean live cart count across the top listings), with_carts_pct, recent_sales_pct (share of top listings sold in the last 90 days — proof it converts now), a trending flag, and intent — Etsy's own Query Intent Specificity (Broad / General / Specific) that flags whether searchers are just browsing or buyer‑ready. (A high‑cart Broad term like "gift" is a trap; "ceramic mug" is Specific.)

Competition — listings (exact count competing), bestseller_pct + starseller_pct (how entrenched the top is), and recent_listings_pct (share under a year old — if fresh listings rank, a new seller can still break in even when listings is high).

Margin — on_sale_pct (discount density — high = a price war eating margin).

Niche & price — category (where to list), category_focus_pct, digital_pct (print‑on‑demand niches), avg_price, price_tiers (the niche's common price breakpoints).

Who you're up against — ad_density_pct (how pay‑to‑play), personalize_pct, handmade_pct / vintage_pct, and the trust wall: avg_shop_rating, median_shop_reviews, avg_seller_sales. All aggregated across the top listings — niche‑level, not per‑listing.

Scores — a 0–100 Opportunity score + A–F grade, the three sub‑scores (Demand, Competition, Margin), and a plain‑English verdict.

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How the score works (nothing hidden)

Every score is computed from the raw Etsy numbers on the same row:

• Demand /100 = live carts + buy‑intent (with_carts_pct) + recent sales + Etsy's autosuggest rank + a trending bump.
• Competition /100 = niche size (listings, log‑scaled) + entrenchment (bestseller_pct + starseller_pct), eased when fresh listings still rank (recent_listings_pct). Higher = harder.
• Margin /100 = 100 − on_sale_pct.
• Opportunity /100 = 0.45 × Demand + 0.35 × (100 − Competition) + 0.20 × Margin.

Grades: A (80+) · B (65–79) · C (50–64) · D (35–49) · F (<35). Verdicts stay consistent with the numbers (✅ Go / ⚠️ Risky / ◽ Maybe / 🚫 Skip), with tags like selling now, breakable, price war, digital/POD, trending now.

The raw data is Etsy's own numbers (as accurate as it gets); the scores are a transparent, explainable heuristic over that data — never a black box.

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Inputs

The input page is split into three sections — fill one mode:

Field	Section	Default	What it does
seeds	🌱 Keyword research	—	1–50 seed keywords; each expanded into its long‑tail universe
depth	🌱 Keyword research	2	expansion hops — 1 direct, 2 suggestions‑of‑suggestions, 3 explodes
maxKeywords	🌱 Keyword research	40	cap of keywords per seed (run also capped at 200 total)
reverseListingUrls	🔄 Reverse keyword	—	1–25 competitor listing URLs/IDs → Etsy's "Related searches" for each, scored. Works with seeds.
shopName	🏪 Whole‑shop	—	one shop name/URL → reverse‑keyword every listing. Runs by itself.
maxShopListings	🏪 Whole‑shop	50	cap on listings scanned (5–200), ~1 request each

Why a run can return fewer than maxKeywords: it's an upper bound. A seed only expands into as many real keywords as Etsy's autosuggest has, and any keyword with no live listings is dropped — so every row is real. Bump depth to 3 or add related seeds to get more.

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Use it for

• Find the gap — sort by opportunity: low listings + real carts + low bestseller density = an underserved niche.
• Break into a "saturated" niche — high listings but high recent_listings_pct means fresh listings still rank (the verdict flags it breakable).
• Spot digital plays — digital_pct: 100 = print‑on‑demand / download niches, low fulfilment.
• Avoid price wars — high on_sale_pct = everyone discounting.
• Pick category & price — category says where to list; price_tiers + avg_price say where the niche prices.
• 🔄 Steal a competitor's keywords — drop their listing into reverseListingUrls and chase the winnable searches instead of the saturated head terms.
• 🏪 Map a rival's whole shop — shopName gives every search Etsy ties to every listing they have, in one run.

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Turn keywords into a listing (the 13‑tag rule)

Etsy gives every listing one title + 13 tags (each tag ≤ 20 characters). How to use the results:

• Tags = your best long‑tail phrases. Pick high‑opportunity multi‑word keywords (grade A/B, and breakable if your shop is newer) and use them as tags verbatim — long‑tail terms match buyer intent and face less competition than head terms. Make each tag a distinct phrase; don't waste tags repeating the same single word.
• Title = strongest phrases first. Etsy weights words near the start of the title, so lead with your 2–3 highest‑opportunity phrases, then add variations.
• List in the right place. Each keyword's category (plus price_tiers / avg_price) tells you the right category and price band.
• Chase winnable, not just popular. Sort by opportunity or filter to grade A/B with low competition — the verdict and breakable flag tell you whether a high‑demand term is actually enterable, not just busy.

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Output

Besides the dashboard, the dataset holds one clean row per scored keyword (export JSON / CSV / Excel / JSONL) with pre‑built views: Opportunities, Demand evidence, Competition evidence, Niche profile, 🔄 Reverse keyword (grouped by source shop/listing), and All columns (ordered).

Reverse rows carry source_listing_title, source_listing_id (and source_shop in whole‑shop mode); type is reverse_keyword vs keyword for seed rows.

OUTPUT.csv in the key‑value store is pre‑built keyword‑first and sorted best‑opportunity. TRENDING_AND_POPULAR holds Etsy's current popular searches, trending terms, trending products and gift‑guide themes (also shown in the dashboard).

Sample keyword row:

{
  "keyword": "ceramic mug handmade",
  "type": "keyword",
  "seed": "ceramic mug",
  "category": "Home & Living",
  "grade": "C",
  "opportunity": 61,
  "demand_score": 85, "competition_score": 75, "margin_score": 72,
  "verdict": "◽ Maybe: strong demand, saturated — real competition",
  "listings": 143625, "avg_carts": 27.0, "carts_total": 971, "with_carts_pct": 94,
  "recent_sales_pct": 100, "recent_listings_pct": 44, "on_sale_pct": 28,
  "bestseller_pct": 47, "starseller_pct": 56, "ad_density_pct": 25,
  "digital_pct": 0, "personalize_pct": 33, "handmade_pct": 94, "vintage_pct": 3,
  "avg_price": 50.72, "price_tiers": [25, 50, 75], "category_focus_pct": 90,
  "avg_shop_rating": 4.93, "median_shop_reviews": 908, "avg_seller_sales": 9278,
  "autosuggest_rank": 2, "trending": false
}

(Reverse/whole‑shop rows add source_listing_title, source_listing_id, source_shop.)

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Speed & limits

Run shape	Time
1 seed, depth 1 (~17 keywords)	~20–30s
1 seed, depth 2 (~40 keywords)	~1 min
🔄 1 reverse listing (~8 related searches)	~10–15s
🏪 whole shop	~3–5s per listing scanned

Autosuggest expansion and per‑keyword metrics run concurrently. Demand numbers are live and shift as carts and sales change — re‑run to track a niche over time.

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FAQ

Why isn't there a "search volume" number? Etsy doesn't publish true keyword search volume — every tool that shows one is estimating it. Instead this reads Etsy's own demand signals: live in‑cart counts, the share of top listings sold in the last 90 days, and a keyword's position in Etsy autosuggest. That's measured buyer demand, not a guess.

Are these the same as Google keywords? No. Etsy is a buyer‑intent marketplace, so the metrics come straight from Etsy (carts, badges, listing counts, price tiers) — not Google search volume or CPC, which don't reflect how people shop on Etsy.

Is the "competition" score actually actionable? Yes. Every keyword gets a plain‑English verdict, a breakable flag (do fresh listings still rank?), and a "who you're up against" breakdown (bestseller %, the niche's review "trust wall") — so you know whether a term is worth chasing, not just a number.

Does it track seasonality? It surfaces Etsy's live trending feed and shows it in the dashboard, but it doesn't track historical month‑by‑month seasonality — the data is point‑in‑time and live. Re‑run periodically to watch a niche move.

Do I need an Etsy login or API key? No. No login, no proxies, no setup — just enter seeds, a competitor listing, or a shop and run.

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⚠️ Unofficial. Not affiliated with, endorsed by, or sponsored by Etsy, Inc. "Etsy" is a trademark of Etsy, Inc., used here for descriptive purposes only.