# Shopify Store Analyzer (Products, Prices, Theme, Apps) (`scraper-forge/shopify-store-analyzer`) Actor

Analyze any Shopify store: store profile, product count, price range, best vendors and product types, new products, sales, collections, theme, installed apps and tech stack, plus social links. Optional full product list.

- **URL**: https://apify.com/scraper-forge/shopify-store-analyzer.md
- **Developed by:** [Scraper Forge](https://apify.com/scraper-forge) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 1,000 stores

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## Shopify Store Analyzer: Products, Prices, Theme, Apps

Paste a list of Shopify stores and get a **complete profile of each one**: catalog size, price range, best-represented vendors and product types, newly added products, items on sale, collections, **theme**, **installed apps and marketing tools**, tech stack and social links.

### Use cases

- 🕵️ **Competitor research**: how big is their catalog, how do they price, what's new, what's discounted
- 🎯 **Lead generation for agencies & app makers**: find stores using (or missing) Klaviyo, a given theme or a review app
- 🧩 **Theme & app market research** across thousands of stores
- 📈 **Track changes**: schedule weekly to see new products and price moves

### What you get per store

| Field | Example |
|---|---|
| Store profile | name, description, city, country, currency, myshopify domain |
| Catalog | product count, variant count, top vendors, top product types, collections count |
| Pricing | min / median / average / max price, products on sale |
| Freshness | products added in the last 30 / 90 days, oldest & newest product dates |
| Theme | theme name, schema name & version, Theme Store ID |
| Apps & tools | e.g. Klaviyo, Foursixty, Optimizely, OneTrust, PayPal, Apple Pay |
| Socials | Instagram, Facebook, TikTok, YouTube, Pinterest, X, LinkedIn |
| Optional | full product list with prices, compare-at prices, availability and images |

### Input example

```json
{
  "stores": ["allbirds.com", "glossier.com", "kyliecosmetics.com"],
  "maxProductsToAnalyze": 1000,
  "includeProductList": false
}
```

### Output example

```json
{
  "domain": "glossier.com",
  "storeName": "Glossier",
  "country": "US",
  "currency": "USD",
  "productCount": 110,
  "priceMin": 5, "priceMedian": 24, "priceMax": 200,
  "productsOnSale": 3,
  "productsAddedLast30Days": 0,
  "collectionsCount": 42,
  "theme": { "name": "9/30 Release 3.51.0", "schemaName": "glossier", "schemaVersion": "3.51.0", "themeStoreId": null },
  "appsAndTools": [{ "name": "Klaviyo", "category": "Marketing automation" }, { "name": "Optimizely", "category": "A/B Testing" }],
  "socials": { "instagram": "https://www.instagram.com/glossier", "tiktok": "https://www.tiktok.com/@glossier" }
}
```

### Notes

- **Non-Shopify sites are detected and skipped without charge.**
- Data comes from each store's public storefront (homepage and public product/collection feeds). No revenue or traffic guesses: only facts the store publishes.
- Some stores disable their public product feed; their row still includes profile, theme and apps (`productsJsonBlocked: true`).

# Actor input Schema

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

Store domains or URLs (allbirds.com, https://glossier.com). Non-Shopify sites are skipped for free.

## `maxProductsToAnalyze` (type: `integer`):

Used for product count, price range, vendors, new products. Higher = slower for very large catalogs.

## `includeProductList` (type: `boolean`):

Add every analysed product (title, URL, price, compare-at price, vendor, type, availability, image) to the store row.

## `concurrency` (type: `integer`):

How many stores to analyse at once.

## Actor input object example

```json
{
  "stores": [
    "allbirds.com",
    "glossier.com"
  ],
  "maxProductsToAnalyze": 1000,
  "includeProductList": false,
  "concurrency": 5
}
```

# Actor output Schema

## `stores` (type: `string`):

Store analysis rows.

# 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": [
        "allbirds.com",
        "glossier.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scraper-forge/shopify-store-analyzer").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": [
        "allbirds.com",
        "glossier.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("scraper-forge/shopify-store-analyzer").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": [
    "allbirds.com",
    "glossier.com"
  ]
}' |
apify call scraper-forge/shopify-store-analyzer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scraper-forge/shopify-store-analyzer"
        }
    }
}
```

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/uh1ReEWpakRRnglFL/builds/scu8sBErbWm9ISVtY/openapi.json