# Shopify Store Products Scraper (`webdatatools/shopify-products-scraper`) Actor

Shopify Store Products Scraper reads any Shopify store's public products.json feed — title, price, compare-at price, discount %, stock, SKU and images, one row per product or variant.

- **URL**: https://apify.com/webdatatools/shopify-products-scraper.md
- **Developed by:** [Murat Uzun](https://apify.com/webdatatools) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.60 / 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

### What is Shopify Store Products Scraper?

Shopify Store Products Scraper is an Apify Actor that reads any Shopify store's own public **`products.json`** feed and returns a clean, flat dataset — **title, price, compare-at price, discount %, stock status, SKU, options and images** — for every product, or every variant, in the catalog. It hits the exact same JSON endpoint the store's own theme uses to render its collection pages, so there is **no HTML parsing, no anti-bot wall, no proxy and no API key** required. Give it a store URL like `https://www.allbirds.com` and it returns one row per product variant (size/color) in seconds.

### What data does Shopify Store Products Scraper extract?

Shopify Store Products Scraper extracts up to 33 fields per row, covering the product, the variant and pricing:

| Field                                                                 | Type                    | Description                                                                 |
| ---------------------------------------------------------------------| ------------------------| -----------------------------------------------------------------------------|
| `store`, `productId`, `productHandle`, `productUrl`                  | string, number, string  | Which store the row came from and the product's id, slug and live URL       |
| `title`, `vendor`, `productType`, `tags`                              | string, array           | Product title, brand, merchant category and tags                            |
| `createdAt`, `updatedAt`, `publishedAt`                                | string                  | Product lifecycle dates (ISO 8601)                                          |
| `variantId`, `variantTitle`, `sku`, `barcode`                          | number, string          | Variant identity (variant mode)                                             |
| `price`, `compareAtPrice`, `currency`, `discountPercent`               | number, string          | Selling price, list price, currency (when derivable) and % off              |
| `available`, `inventoryQuantity`                                       | boolean, number         | In-stock status and units on hand (when the store exposes it)               |
| `option1`, `option2`, `option3`                                        | string                  | Variant option values, e.g. color / size                                    |
| `weightGrams`, `requiresShipping`                                      | number, boolean         | Shipping weight and whether the variant ships physically                    |
| `imageUrl`, `imageCount`, `bodyText`                                   | string, number, string  | Primary image, image count and the description with HTML stripped          |
| `variantCount`, `minPrice`, `maxPrice`, `anyAvailable`                 | number, boolean         | Aggregates used instead of the variant fields in product mode               |
| `error`, `scrapedAt`                                                   | string                  | Per-store failure reason and the scrape timestamp                          |

### How to use Shopify Store Products Scraper

1. Paste one or more store URLs into **Store URLs**, e.g. `https://www.allbirds.com`. A bare domain like `gymshark.com` also works.
2. Leave **One row per variant** on for a price/stock feed keyed by SKU, or turn it off for one row per product with `minPrice`/`maxPrice`/`anyAvailable`.
3. Optionally add **Collection handles** (e.g. `mens-shoes`) to scrape only those collections instead of the whole catalog.
4. Click **Start**, then export the dataset as JSON, CSV, Excel or HTML.

### Example input

```json
{
    "stores": ["https://www.allbirds.com"],
    "maxProductsPerStore": 100,
    "includeVariants": true,
    "onlyAvailable": false
}
```

### Example output

```json
{
    "store": "https://www.allbirds.com",
    "productId": 7218356060240,
    "productHandle": "mens-strider-explore",
    "productUrl": "https://www.allbirds.com/products/mens-strider-explore",
    "title": "Men's Strider Explore - Natural Black (Dark Grey Sole)",
    "vendor": "Allbirds",
    "productType": "Shoes",
    "variantId": 41334293921872,
    "variantTitle": "8.5",
    "sku": "A11768M085",
    "price": 130,
    "compareAtPrice": null,
    "discountPercent": null,
    "available": true,
    "option1": "8.5",
    "imageUrl": "https://cdn.shopify.com/s/files/1/1104/4168/products/mens-strider-explore.jpg",
    "imageCount": 3,
    "scrapedAt": "2026-09-12T18:10:00.000Z"
}
```

### Input parameters

| Parameter              | Type    | Default                       | Description                                                        |
| -----------------------| ------- | ------------------------------| ---------------------------------------------------------------------|
| `stores`                | array   | `["https://www.allbirds.com"]` | Store URLs to scrape, one or many                                   |
| `maxProductsPerStore`   | integer | `100`                          | Cap on products fetched per store (1-20000)                         |
| `collectionHandles`     | array   | `[]`                           | Scope to specific collections instead of the whole catalog          |
| `includeVariants`       | boolean | `true`                         | One row per variant (`true`) or one aggregated row per product      |
| `onlyAvailable`         | boolean | `false`                        | Drop out-of-stock variants/products                                 |
| `maxConcurrency`        | integer | `3`                            | Stores scraped in parallel (1-10); pages within a store are sequential |

### Pricing

Shopify Store Products Scraper uses pay-per-event pricing: **$0.001 per result row, i.e. $1 per 1,000 rows**, plus a negligible actor-start fee. A default run against one mid-size store (250 products, ~4 variants each) costs about **$1** for roughly 1,000 rows — cheaper than any headless-browser Shopify scraper, because every request is one small JSON call to the store's own storefront API. Set **Maximum cost per run** and the Actor trims the store list, and then the row list, to what the budget covers.

### Shopify Store Products Scraper vs. browser-based scrapers

Most "universal" e-commerce scrapers render every product page in a headless browser to scrape prices off the DOM — slow, and easily broken by a theme update. Shopify Store Products Scraper reads the same structured JSON the store's own theme fetches, so it is faster, cheaper and immune to CSS/layout changes. It cannot see private apps, wholesale-only catalogs or draft products that are not on the public storefront, which is by design: it only reads what the merchant already publishes.

### Using Shopify Store Products Scraper with AI agents and MCP

Shopify Store Products Scraper is pay-per-event with limited permissions — the two requirements for an Actor to be callable through the Apify MCP server at `mcp.apify.com`. An agent passes `stores` (and optionally `collectionHandles`) and gets back a flat table of prices and stock, ready for a competitor price-monitoring step, a dropshipping catalog import, or a lead-scoring pipeline. The same run works from n8n, Make, Zapier and LangChain through Apify's integrations.

### FAQ

**Does this work on any Shopify store?** Yes, as long as the store has not disabled its public `products.json` feed (rare) and is not password-protected (pre-launch/private stores). Both cases return a single row with the reason in `error` instead of failing the run.

**Why is `inventoryQuantity` often null?** Shopify's public `products.json` feed does not include live stock counts for most themes — only `available` (in stock or not). `inventoryQuantity` is filled in on the rare stores that do expose it publicly.

**Why is `currency` usually null?** The public JSON feed does not name its currency; it is only included when it can be reliably derived. Treat `price` as being in the store's default storefront currency.

**What counts as a "row" for pricing?** Each variant (or, in product mode, each product) is one row. A store with 250 products and 4 variants each produces about 1,000 rows.

**Is this legal to run?** Yes. `products.json` is a public, unauthenticated endpoint Shopify serves to every visitor and search engine; no login or personal data is involved.

**Can I export to CSV or Excel?** Yes, from the Output tab or the API, with a ready-made **Overview** view.

### Related Actors

Part of the **webdatatools** web-intelligence suite — every Actor is pay-per-event, reads public data
without a login, and returns one clean row per entity:

Browse the whole suite at [webdatatools](https://paulet4a-commits.github.io/webdatatools/), or call ten of
these Actors straight from Claude, Cursor or Cline with the
[webdatatools MCP server](https://github.com/paulet4a-commits/webdatatools-mcp-server).

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### Support and feedback

Found a store the Actor mis-detects as non-Shopify, or a field worth adding? Open an issue on the **Issues** tab.

# Actor input Schema

## `stores` (type: `array`):

Enter the Shopify store URLs to scrape, e.g. https://www.allbirds.com. A bare domain such as allbirds.com also works. Every store is checked against its public products.json feed; non-Shopify or password-protected stores get one error row instead of crashing the run.

## `maxProductsPerStore` (type: `integer`):

Enter the maximum number of products to fetch per store, e.g. 250. Products are paged 250 at a time from products.json, so 250 is a single page; raise it for a full catalog export, up to 20000.

## `collectionHandles` (type: `array`):

Optionally enter collection handles to scrape instead of the whole catalog, e.g. mens-shoes. Each handle is fetched from /collections/<handle>/products.json. Leave empty to scrape every product in the store via /products.json.

## `includeVariants` (type: `boolean`):

Keep this on to get one dataset row per product variant (size/color), with its own price, SKU and stock. Turn it off to get one row per product with aggregated minPrice, maxPrice and anyAvailable instead.

## `onlyAvailable` (type: `boolean`):

Keep this off to include out-of-stock variants and products. Turn it on to drop any variant (or, in product mode, any product) that is not currently available for sale.

## `maxConcurrency` (type: `integer`):

Enter how many stores to scrape in parallel, e.g. 3. Pages within a single store are always fetched one at a time because Shopify rate-limits products.json; raise this only to speed up runs with many different stores.

## Actor input object example

```json
{
  "stores": [
    "https://www.allbirds.com"
  ],
  "maxProductsPerStore": 100,
  "collectionHandles": [],
  "includeVariants": false,
  "onlyAvailable": false,
  "maxConcurrency": 3
}
```

# Actor output Schema

## `products` (type: `string`):

All scraped products/variants — download as JSON, CSV, Excel or HTML.

# 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 = {
    "stores": [
        "https://www.allbirds.com"
    ],
    "maxProductsPerStore": 100,
    "collectionHandles": [],
    "includeVariants": false,
    "onlyAvailable": false,
    "maxConcurrency": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("webdatatools/shopify-products-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 = {
    "stores": ["https://www.allbirds.com"],
    "maxProductsPerStore": 100,
    "collectionHandles": [],
    "includeVariants": False,
    "onlyAvailable": False,
    "maxConcurrency": 3,
}

# Run the Actor and wait for it to finish
run = client.actor("webdatatools/shopify-products-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 '{
  "stores": [
    "https://www.allbirds.com"
  ],
  "maxProductsPerStore": 100,
  "collectionHandles": [],
  "includeVariants": false,
  "onlyAvailable": false,
  "maxConcurrency": 3
}' |
apify call webdatatools/shopify-products-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,webdatatools/shopify-products-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/mL0VyvXUakhDZ4Khl/builds/haG3gnN2xmcaz7JuV/openapi.json
