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Etsy Search Scraper 2026

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from $2.00 / 1,000 results

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Etsy Search Scraper 2026

Etsy Search Scraper 2026

Scrape Etsy search results with optional product detail enrichment. Extract listings with prices, ratings, images, and full product details including description, tags, materials, and shipping info.

Pricing

from $2.00 / 1,000 results

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0.0

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Developer

devcake

devcake

Maintained by Community

Actor stats

1

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70

Total users

52

Monthly active users

3 days ago

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Scrape Etsy Data: Listings, Prices & Reviews at Scale

Etsy product research requires structured data you can pivot, not screenshots you can scroll. The Etsy Product Data Actor scrapes Etsy search results in bulk and enriches every listing with the full product detail page — prices, shops, ratings, reviews, photos, tags, materials, ships-from, taxonomy — so dropshippers, market researchers, and product analysts can move from "I wonder" to "I have the rows" in a single run. Run one query, batch a niche catalog, or compare competitors across shops.

🛒 What It Does

The Actor taps Etsy's internal search API for fast, reliable collection, then optionally walks each listing's detail page to pull the fields that don't surface in the search grid: full descriptions, gallery images, materials, view and favorite counts, and the complete taxonomy path. Every run streams structured rows straight to your Apify dataset where they can be downloaded, fed to a spreadsheet, or piped to a downstream model.

The default toggle enriches everything — you get the full record per product. For faster, lighter runs that only need search-page fields (price, shop name, rating, thumbnail), turn enrichment off. Either way, you end up with a clean dataset instead of a hand-built CSV.

🛒 Who It's For

  • Dropshippers and resellers building a niche product catalog who need price, shop, and engagement data across hundreds of listings at once.
  • Market researchers tracking what sells on Etsy, comparing shops in a vertical, or measuring tag and category distribution over time.
  • AI / ML teams training product-search or recommendation models on real Etsy listing records.
  • Trend hunters tracking category-level changes — new materials, rising tags, shifts in shop dominance.
  • Pricing analysts who want to spot outliers in cost, materials, or ships-from mix for a given niche.

🛒 Data You Get

FieldDescription
listing_idUnique Etsy listing ID
titleProduct title as shown on Etsy
pricePrice with currency symbol (e.g. "USD 24.00")
price_numNumeric price value in USD
currency_codeCurrency (USD, EUR, GBP, …)
shop_nameName of the Etsy shop
shop_idUnique shop identifier
ratingAverage seller rating (0–5)
review_countTotal reviews on the shop
image_urlMain product thumbnail URL
imagesAll gallery images (up to 9)
detail_urlDirect link to the listing
quantityAvailable stock quantity
viewsNumber of listing views
favoritesNumber of times favorited
is_availableWhether the item is in stock
is_sold_outWhether the listing is sold out
tagsProduct tags (up to 13)
materialsMaterials list when published
ships_from_countryCountry the item ships from
when_madeYear or range when made
taxonomy_pathFull category breadcrumb on Etsy
descriptionFull product description text

🛒 Use Cases

How to scrape data from Etsy for a niche keyword?

Drop your term into the Actor, set a result cap, and run. The Actor returns every Etsy listing it can find for that query — title, price, shop, rating, photos — already deduped against prior runs. For example, a search for "minimalist ceramic vase" returns the full set of competing listings with pricing and shop signals, ready to filter by material or ships-from in a spreadsheet.

Can you scrape Etsy and pull review counts per listing?

Yes. With detail enrichment on (the default), every listing row includes the shop's rating and review_count, plus engagement signals (views, favorites) that aren't surfaced on the search grid. That's enough for a quick reputation screen before you commit to competitive research or sourcing.

How to compare Etsy listings across shops at category level?

Run the Actor once per niche, dedupe by shop_id, and pivot on taxonomy_path to compare shop dominance, rating distribution, and price ranges inside a category. Because every row carries the full taxonomy breadcrumb, you can roll up by leaf category without scraping Etsy twice.

Schedule the Actor on a cron — weekly or daily — for the same searchQueries. The detail view's views and favorites fields let you see rising listings without manual checks, and when_made reveals whether you're watching new stock arrive.

🛒 Quick Start

  1. Open the Actor in Apify Console and click Try for free — the input prefills with ["monster high"] so you can run a sample.
  2. Edit searchQueries to one or more niche terms that match your catalog ("handmade silver earrings", "vintage denim jacket", or whatever your buyers search).
  3. Set maxListings (30–500) and toggle enrichWithDetails on for the full record, off for a faster lighter run.
  4. Start the run and watch rows stream into the dataset. Download as CSV, JSON, or pipe to your stack.

🛒 Input Parameters

ParameterTypeRequiredDescription
searchQueriesarray of strings✅ YesOne or more Etsy search terms. Each query runs independently.
maxListingsintegerNoMaximum unique listings to return per query (30–500, default 48).
enrichWithDetailsbooleanNoFetch full product details (description, tags, materials, all images, engagement stats) for each listing (default on).

🛒 Example

Input

{
"searchQueries": ["minimalist ceramic vase"],
"maxListings": 80,
"enrichWithDetails": true
}

Output (single listing)

{
"listing_id": "1234567890",
"title": "Handmade Stoneware Vase, Matte Cream",
"price": "USD 48.00",
"price_num": 48.0,
"currency_code": "USD",
"shop_name": "NorthBenchCeramics",
"shop_id": "12345",
"rating": 4.92,
"review_count": 312,
"image_url": "https://i.etsystatic.com/.../i.jpg",
"images": [
"https://i.etsystatic.com/.../i1.jpg",
"https://i.etsystatic.com/.../i2.jpg"
],
"detail_url": "https://www.etsy.com/listing/1234567890/...",
"quantity": 5,
"views": 12480,
"favorites": 612,
"is_available": true,
"is_sold_out": false,
"tags": ["ceramic vase", "stoneware", "minimalist", "home decor"],
"materials": ["stoneware clay"],
"ships_from_country": "United States",
"when_made": "2026",
"taxonomy_path": "Home & Living > Decor > Vases",
"description": "Wheel-thrown stoneware vase finished in matte cream …"
}

🛒 FAQ

How to scrape data from Etsy?

Open the Actor's Input tab, set searchQueries to the keywords you care about (one or several — each runs independently), pick maxListings, leave enrichWithDetails on for the full record, and click Start. The Actor returns one row per listing into the dataset, ready to download as CSV or JSON.

Can you scrape Etsy without getting blocked?

Yes — this Actor uses residential proxies and managed request sessions, plus Etsy's internal search API. You get structured public listing data without manual pagination.

Does scraping Etsy violate their terms of service?

Etsy's terms restrict automated access at high volumes. The Actor respects a reasonable cap (maxListings ≤ 500 per query) and is intended for research, price comparison, and analytics — not for replicating Etsy's catalog. Consult Etsy's terms for the use case you have in mind.

How often can I run the Actor on the same query?

As often as your Apify plan allows — daily or weekly is the common cadence for trend tracking. Each run produces a fresh snapshot; comparing snapshots over time is how you spot trend movement in views, favorites, and price on the same niche without manual checks.

What's the difference between search-only and enriched output?

Search-only output (enrichment off) is faster and gives you title, price, shop, rating, thumbnail — what the search grid already shows. Enriched output also pulls each listing's detail page: full description, all gallery images, tags, materials, ships-from, and engagement stats (views, favorites). Default is enriched.