Etsy Scraper

Etsy Scraper creates a structured dataset of product listings collected from Etsy, the marketplace for handmade, vintage, and craft goods. Each dataset item represents one product and can include the product name, listing URL, primary image, price, currency, availability, shop name, and shop URL. Query the source by pasting Etsy category, search-result, or listing URLs, control the result limit with maxProducts, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, or another supported format.

Dataset at a glance

Property	Value
Source	etsy.com (handmade and vintage marketplace)
Record unit	One product listing
Input methods	Etsy category, search-result, or listing URLs (startUrls)
Main identifiers	url (listing URL)
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML, HTML (Apify dataset exports)
Update model	Fresh records per Actor run
Pricing	$10.00 per 1,000 listings

Coverage and available records

The Actor collects products from public Etsy pages using a URL entry point:

• URL-based: Pass Etsy category pages, search-result pages, or individual listing pages in startUrls (for example https://www.etsy.com/c/baby/baby-clothes). Each URL is paginated to collect the products it lists. URLs that are not Etsy pages are skipped.
• Pagination: Collection follows the category/search pagination, subject to Etsy's 250-page-per-category limit.

Record types and limits:

• Product records are collected from the page's structured product data: name, URL, image, price, currency, availability, shop name, and shop URL.
• Result cap: maxProducts limits the number of products collected per URL (0 means unlimited, subject to Etsy's 250-page cap).

Known exclusions: reviews, shop detail pages, and product-detail-page enrichment are not collected; content Etsy only shows behind login is not collected; each run captures page state at run time (no historical snapshots).

Data dictionary

Field names below match dataset record JSON properties exactly.

Field	Type	Nullable	Description	Example
@type	string	No	Schema.org type of the record	Product
name	string	No	Product name	Vintage moss agate engagement ring Art deco solid 14k gold bezel promise ring...
url	string	No	Product listing URL; best stable deduplication key	https://www.etsy.com/listing/1707599891/vintage-moss-agate-engagement-ring-art
image	string	Yes	Primary product image URL	https://i.etsystatic.com/37967044/r/il/699a5c/5988382628/il_fullxfull.5988382628_b8gk.jpg
price	string	Yes	Sale price as a string, flattened from the offer	108.88
currency	string	Yes	Price currency code, flattened from the offer	USD
brand_url	string	Yes	Shop URL derived from the shop name	https://www.etsy.com/shop/CytheriaSHO
brand	object	Yes	Shop identity: { "@type": "Brand", "name": "<shop name>" }	{"@type":"Brand","name":"CytheriaSHO"}
offers	object	Yes	Offer details: price, priceCurrency, availability, and a nested priceSpecification with list price	See example record

The offers object contains the raw price, currency, availability status, and (when the seller provides one) a priceSpecification carrying the list price and its currency.

Example dataset record

Real record produced with the input below (startUrls for a category page, maxProducts: 3).

{
  "@type": "Product",
  "name": "Vintage moss agate engagement ring Art deco solid 14k gold bezel promise ring...",
  "url": "https://www.etsy.com/listing/1707599891/vintage-moss-agate-engagement-ring-art",
  "image": "https://i.etsystatic.com/37967044/r/il/699a5c/5988382628/il_fullxfull.5988382628_b8gk.jpg",
  "brand": { "@type": "Brand", "name": "CytheriaSHO" },
  "offers": {
    "@type": "Offer",
    "price": "108.88",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock",
    "priceSpecification": {
      "@type": "UnitPriceSpecification",
      "priceType": "https://schema.org/ListPrice",
      "price": "136.10",
      "priceCurrency": "USD"
    }
  },
  "price": "108.88",
  "currency": "USD",
  "brand_url": "https://www.etsy.com/shop/CytheriaSHO"
}

The record above was produced with this input:

{
  "startUrls": [
    { "url": "https://www.etsy.com/c/baby/baby-clothes" }
  ],
  "maxProducts": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Query and input reference

Input	Type	Required	Default	Accepted values	Description
startUrls	array (requestListSources)	Yes	—	Etsy category, search-result, or listing URLs	URL-based entry point
maxProducts	integer	No	1000	0 or any positive integer	Maximum products per URL; 0 = unlimited subject to Etsy's 250-page cap
proxyConfiguration	object	No	Apify proxy, RESIDENTIAL group, US country	Apify proxy groups or custom proxies	Residential proxies are recommended for Etsy

Minimal request:

{
  "startUrls": [
    { "url": "https://www.etsy.com/c/baby/baby-clothes" }
  ]
}

Advanced request with a product cap:

{
  "startUrls": [
    { "url": "https://www.etsy.com/search?q=handmade%20necklace" }
  ],
  "maxProducts": 2000,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Retrieve the data through the API

The Actor runs on the Apify platform, so there is no server to host and no crawling infrastructure to maintain.

1. Start the Actor with a JSON input (console or API).
2. Wait for the run to finish, or use a synchronous endpoint if you want the response inline.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset.

Python example:

from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run_input = {
    "startUrls": [{"url": "https://www.etsy.com/c/baby/baby-clothes"}],
    "maxProducts": 20,
}

run = client.actor("datascrapers/etsy-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["name"], item["price"], item["currency"])

Apify generates ready-to-run Python, JavaScript, and cURL examples on the Actor's API tab. Do not put a real API token in shared code or URLs.

Data quality and record handling

• Structured source: product fields are read from the structured product data each page publishes; unreadable fields are returned as null rather than fabricated.
• Source changes: Etsy page structure and values can change; field availability may vary by listing.
• Deduplication: each run appends fresh records; the Actor does not deduplicate products across runs. Use url as the stable key and filter repeated runs against previously stored IDs.
• Rate limits: Etsy rate-limits automated traffic. Residential proxies are recommended for consistent coverage.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL / Supabase	Dataset API poll or webhook consumer	Store product catalogs alongside price-history tables
Google Sheets	Apify Google Sheets integration	Share product shortlists with teams
Data warehouse (BigQuery, Snowflake)	Scheduled export via Apify integration	Product and price trend analysis
S3 / cloud storage	Scheduled export via Apify scheduler + integration	Archival of catalog snapshots

Pricing and cost examples

The Actor uses pay-per-event pricing with one chargeable result event, billed per listing:

Event	Trigger	Rate (per 1,000 listings)
Listing result	Every product record pushed to the dataset	$10.00

Example costs:

Records	Estimated base cost
1,000	$10.00
10,000	$100.00

Apify paid plans reduce the per-1,000 rate. Compute units consumed by the run are billed by your Apify plan. Estimates depend on the verified pricing model and the options selected for the run.

Limitations and responsible data use

• The Actor collects publicly accessible data from Etsy pages only.
• Reviews, shop detail pages, and product-detail-page enrichment are not collected.
• Collection is subject to Etsy's 250-page-per-category limit.
• Field availability depends on what Etsy renders at run time; some values can be null or missing, and site changes can alter fields.
• The Actor does not provide historical snapshots unless you store them yourself.
• You are responsible for compliance with Etsy's terms of service, applicable privacy law, and any contractual obligations before using the data.

Dataset questions

What does one dataset item represent?

One Etsy product listing, with its name, URL, image, price, currency, and shop information.

Which field should I use as a unique identifier?

url (the product listing URL) is the recommended deduplication key.

Are fields nullable or conditional?

Yes. Fields that a listing does not publish are returned as null. The priceSpecification inside offers is present only when the seller provides a list price.

Can I retrieve the records as CSV or JSON?

Yes. The dataset can be exported as JSON, CSV, Excel, XML, or HTML from the Apify Console, and queried through the Dataset API.

Does the Actor return historical data?

No. Each run captures the state of the listings at run time. To track price changes, schedule repeated runs and store the outputs yourself.

What counts as a billable result?

One pay-per-event charge applies for every product record pushed to the dataset ($10.00 per 1,000 listings).

Related datasets from Data Scrapers

• Best Buy Product Scraper — Consumer electronics listings that can be joined with Etsy catalogs for cross-market product research.
• Amazon Search Scraper — Product listings and pricing for e-commerce competitive analysis.
• HomeDepot Scraper — Home-improvement product listings for category-level retail research.

Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.