# Etsy Product Scraper (`saswave/etsy-product-scraper`) Actor

Etsy scraper extract product details, descriptions, images, seller info, and more. Start from search url or product direct url.

- **URL**: https://apify.com/saswave/etsy-product-scraper.md
- **Developed by:** [SASWAVE](https://apify.com/saswave) (community)
- **Categories:** E-commerce, Social media, Lead generation
- **Stats:** 288 total users, 34 monthly users, 87.1% runs succeeded, 5 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.90 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### Etsy Product Scraper (Listings, Images, Sellers & Reviews)

Extract complete product and seller data from Etsy listings with this powerful Apify actor.

This scraper collects structured data from Etsy product pages including descriptions, pricing, images, shop details, and reviews — ideal for eCommerce research, competitor analysis, price monitoring, and automation workflows.

### ✅ Features

This Etsy scraping actor extracts:

#### 🛒 Product Data

Product ID and URL

Title & full description

Category & breadcrumb path

Price range (low & high)

Currency

Delivery time estimates

Stock / max quantity

Variants & options (if available)

High-resolution images

“More like this” suggestions

#### 🏪 Shop Data

Shop name & ID

Shop URL

Total sales count

Reviews count

Years on Etsy

Badge status (ratings, shipping, convos)

#### ⭐ Reviews & Reputation

Average star rating

Review count

Highlight keywords

Review tags & frequencies

Detailed score breakdown (quality, shipping, service)

### 🔍 How It Works

Provide a direct Etsy product URL

The actor loads the listing page

It extracts product, seller, and review data

Output is returned in structured JSON format

### 📦 Output

Item from direct url

```json
{
  "product_id": "1710567856",
  "shop_id": "35055979",
  "shop_url": "https://www.etsy.com/shop/TrendyGiftShopUS",
  "shop_sales": "75.1k sales",
  "shop_name": "TrendyGiftShopUS",
  "product_url": "https://www.etsy.com/listing/1710567856/its-okay-to-make-some-mistakes-shirt",
  "search_position": "",
  "image": "https://i.etsystatic.com/35055979/r/il/cfd7dd/5962184626/il_794xN.5962184626_auti.jpg",
  "images": [
    "https://i.etsystatic.com/35055979/r/il/cfd7dd/5962184626/il_794xN.5962184626_auti.jpg",
    "https://i.etsystatic.com/35055979/r/il/afd660/6010243165/il_794xN.6010243165_looh.jpg",
    "https://i.etsystatic.com/35055979/r/il/0b3ab3/6010246289/il_794xN.6010246289_493g.jpg",
    "https://i.etsystatic.com/35055979/r/il/5badaa/5962170174/il_794xN.5962170174_1uzd.jpg",
    "https://i.etsystatic.com/35055979/r/il/24ad90/5962169822/il_794xN.5962169822_2hko.jpg",
    "https://i.etsystatic.com/35055979/r/il/c3251d/6010242869/il_794xN.6010242869_mn1b.jpg",
    "https://i.etsystatic.com/35055979/r/il/9fc7eb/5503047087/il_794xN.5503047087_i61d.jpg",
    "https://i.etsystatic.com/35055979/r/il/00313d/5454925972/il_794xN.5454925972_ffk6.jpg",
    "https://i.etsystatic.com/35055979/r/il/bb6fcb/5503047091/il_794xN.5503047091_d46l.jpg"
  ],
  "max_quantity": 552,
  "variants": [],
  "title": "It's Okay To Make Some Mistakes Shirt ,Mental Health Shirt ,Motivational Shirt, Mental Health Matters, Motivational Shirt ,It's Okay To",
  "description": [
    "It's Okay To Make Some Mistakes Shirt ,Mental Health Shirt ,Motivational Shirt, Mental Health Matters, Motivational Shirt ,It's Okay To",
    "Hello there!",
    "We choose one of the highest-quality t-shirt manufacturers in the market! We either choose Circle Soft Style, Bella Canvas, Gildan Soft Style. If you want a specific brand please let us know. Otherwise, we will send the brand that we have available in our stock. Here's some additional information:",
    "- All solid color t-shirts are made of 100% cotton.",
    "- All Heather Colors are made of a cotton and poly blend, making them incredibly soft and comfy!",
    "- Our shirts are all Unisex (except women's v-neck) and come in Retail Fit sizes. Side seamed and shoulder to shoulder taped.",
    "- The size tag labels are the free tear-away kind, so no more itching!",
    "So, how will you place your order?",
    "1- Select a Size",
    "2- Pick a color",
    "3- If available, add any customization or a remark to the seller.",
    "4- Place the item in your shopping basket.",
    "5- Return to the previous page to add more shirts and complete the checkout process all at once.",
    "So, how long will it take for your order to arrive?",
    "A- It takes 1-3 business days to make your shirt. We will always endeavor to create and ship them as quickly as possible.",
    "B - Depending on your location, domestic transit durations range from 2 to 5 days. If you're in a hurry, send us a message and we'll do our best to assist you.",
    "Our primary purpose is to bring a smile to your face and potentially expand our family. We are excited to make your shirts.",
    "Please do not hesitate to contact us if you have any queries! We are always here to assist you, 24 hours a day, 7 days a week. This is what we specialize in!"
  ],
  "delivery_days_min": 9,
  "delivery_days_max": 23,
  "shop_reviews": 17016,
  "reviews": 122,
  "star": "4.8",
  "highlights_tags": [
    "Love it",
    "Fast shipping",
    "Soft",
    "Great quality",
    "As described",
    "Looks great",
    "Great product",
    "Would recommend",
    "Cute",
    "Comfortable",
    "Fits perfectly",
    "Great colors",
    "Gift-worthy",
    "Happy with purchase",
    "Happy customer",
    "Perfect addition",
    "Lots of compliments",
    "Exactly what I wanted"
  ],
  "reviews_tags": [
    {
      "tag": "Quality",
      "frequency": 31
    },
    {
      "tag": "Comfort",
      "frequency": 29
    },
    {
      "tag": "Appearance",
      "frequency": 26
    },
    {
      "tag": "Shipping & Packaging",
      "frequency": 21
    },
    {
      "tag": "Description accuracy",
      "frequency": 19
    },
    {
      "tag": "Sizing & Fit",
      "frequency": 11
    },
    {
      "tag": "Seller service",
      "frequency": 5
    },
    {
      "tag": "Value",
      "frequency": 1
    },
    {
      "tag": "Condition",
      "frequency": 1
    },
    {
      "tag": "Ease of use",
      "frequency": 1
    }
  ],
  "years_on_etsy": "3 years",
  "has_ratings_badge": true,
  "has_convos_badge": false,
  "has_shipping_badge": true,
  "reviews_scores": {
    "item_quality": "5/5",
    "shipping": "5/5",
    "customer_service": "5/5"
  },
  "category": "Clothing < Gender-Neutral Adult Clothing < Tops & Tees < T-shirts",
  "price": "",
  "low_price": "9.60",
  "high_price": "32.01",
  "country_shipping_from": "US",
  "currency": "EUR",
  "old_price": "",
  "more_like_url": ""
}
```

### 🧠 Use Cases

Perfect for:

📈 Product research

🛍 Competitor analysis

💸 Pricing intelligence

🧪 Market research

📊 Data analytics

📥 Import into Shopify / WooCommerce

🧾 Building affiliate databases

🧰 Automation workflows

### 🚀 Benefits

Zero setup required

Clean structured output

Supports high-volume scraping

Export to JSON, CSV, Excel, or database

Works with Make, Zapier & automation tools

Scalable infrastructure on Apify

### 🛟 SUPPORT

Share your runs with the developer team and create issues on error to help us improve actor quality.

You might discover edge case we didn't test yet

We stay available anytime

# Actor input Schema

## `directs` (type: `array`):

Extract infos about a specific list of product

## Actor input object example

```json
{
  "directs": [
    "https://www.etsy.com/listing/1710567856/its-okay-to-make-some-mistakes-shirt"
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "directs": [
        "https://www.etsy.com/listing/1710567856/its-okay-to-make-some-mistakes-shirt"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("saswave/etsy-product-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "directs": ["https://www.etsy.com/listing/1710567856/its-okay-to-make-some-mistakes-shirt"] }

# Run the Actor and wait for it to finish
run = client.actor("saswave/etsy-product-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "directs": [
    "https://www.etsy.com/listing/1710567856/its-okay-to-make-some-mistakes-shirt"
  ]
}' |
apify call saswave/etsy-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,saswave/etsy-product-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/5PLRL0XsXSe1fpW8q/builds/5nW710kt7mO0iOAUG/openapi.json