How to use Etsy Scraper

Step by step: in the Apify Store, over the API, from JavaScript or Python, in n8n, and from AI agents through MCP or LangChain.

$7.20 per 1,000 listings on the Free plan, down to $5.40 on higher plans (live Apify price on 2026-11-01).

1. In the Apify Store (no code)

1. Open arcadium/etsy-products and sign in to Apify (a free account works).
2. Fill in the input form. The fields below are the ones the example uses.
3. Set a maximum cost per run in the run options if you want a hard cap.
4. Start the run. Rows appear in the Output tab as they arrive.
5. Export the dataset as JSON, CSV or Excel, or connect an integration.

Example input:

{
  "searchTerms": [
    "ceramic mug"
  ],
  "maxResultsPerSearch": 20
}

2. Over the Apify API

The synchronous endpoint runs the actor and returns its rows in one call (for runs up to about five minutes; use the asynchronous run endpoint for longer ones).

curl -X POST "https://api.apify.com/v2/acts/arcadium~etsy-products/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms":["ceramic mug"],"maxResultsPerSearch":20}'

3. From JavaScript

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('arcadium/etsy-products').call({
  "searchTerms": [
    "ceramic mug"
  ],
  "maxResultsPerSearch": 20
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

4. From Python

# pip install apify-client
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("arcadium/etsy-products").call(run_input={
    "searchTerms": ["ceramic mug"],
    "maxResultsPerSearch": 20,
})
items = client.dataset(run.default_dataset_id).list_items().items  # apify-client 3.x returns a Run object
print(items)

5. In n8n

Paste this node into a workflow (it is a plain HTTP Request node). Create a Header Auth credential with name Authorization and value Bearer <APIFY_TOKEN>; each returned row becomes one item for the next node.

{
  "nodes": [
    {
      "name": "Run arcadium/etsy-products",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [
        0,
        0
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/arcadium~etsy-products/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\"searchTerms\":[\"ceramic mug\"],\"maxResultsPerSearch\":20}",
        "options": {
          "timeout": 300000
        }
      }
    }
  ],
  "connections": {}
}

6. From an AI assistant (MCP)

Add Apify’s MCP server to Claude Desktop, Cursor, VS Code or any MCP client, limited to this actor:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=arcadium/etsy-products",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}

More on the MCP page.

7. From LangChain

# pip install langchain-apify   (reads APIFY_API_TOKEN from the environment)
from langchain_apify import ApifyActorsTool

tool = ApifyActorsTool("arcadium/etsy-products")
rows = tool.invoke({"run_input": {
    "searchTerms": ["ceramic mug"],
    "maxResultsPerSearch": 20,
}})
# or give `tool` to an agent: create_react_agent(llm, [tool])

Sample output

One row, from the example in the actor’s README. Long text is shortened and lists are cut to two items.

{
  "rowType": "listing",
  "platform": "etsy",
  "listingId": "962939986",
  "title": "Leather Envelope Wallet for Women, Personalized Mini Card Wallet, Full Grain Crazy Horse",
  "url": "https://www.etsy.com/listing/962939986",
  "price": 64,
  "currency": "USD",
  "salePrice": 57.6,
  "discountPercent": 10,
  "onSale": true,
  "favorites": 4979,
  "rating": 4.95,
  "reviewCount": 245,
  "tags": [
    "Envelope Wallet",
    "Women's Leather"
  ],
  "materials": [
    "Full Grain Crazy Horse Leather"
  ],
  "category": "Wallets",
  "variations": [
    {
      "name": "Primary color",
      "options": [
        {
          "value": "Tan",
          "price": null,
          "available": true
        }
      ]
    }
  ],
  "whenMade": "2020_2026",
  "shipsFromCountry": "TR",
  "shipping": {
    "shipsFrom": "Türkiye",
    "freeShipping": true,
    "deliveryEstimate": "Oct 26-Nov 2",
    "deliverTo": "United States",
    "returns": "Returns & exchanges accepted within 30 days."
  },
  "shop": {
    "shopId": "28165607",
    "shopName": "YukonLeatherGoods",
    "sales": 6583,
    "rating": 4.92,
    "reviewCount": 1412,
    "location": "Dover, Delaware",
    "isStarSeller": true
  },
  "searchInput": "leather wallet",
  "searchRank": 3,
  "isAd": false
}

Schedule it

In Apify Console, create a Task from your input and add a Schedule (for example daily). Each run writes a new dataset; integrations can push the rows to Google Sheets, Slack, a webhook or your database.