# Shopify Store Analyzer & Report: catalogue, prices, stock (`steadydata/shopify-store-report`) Actor

One report per Shopify store, up to 200 stores per run: catalogue size, price range and average, currency, share in stock, share on sale, product types, brands, newest and oldest product, plus ranked signals such as a stale catalogue or heavy discounting. Pay per delivered report.

- **URL**: https://apify.com/steadydata/shopify-store-report.md
- **Developed by:** [Steadydata Team](https://apify.com/steadydata) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.28 / 1,000 store reporteds

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

## Shopify Store Analyzer & Report: catalogue, prices, stock

One report per Shopify store, **up to 200 stores per run**: how big the catalogue is, what it
costs, what is actually in stock, what is on sale, which brands and product types it sells,
when the last product went live, and **what those numbers mean** in a short list of signals.
You pay per delivered report.

### Why this scraper

- **It reads the store's own catalogue endpoint.** Shopify publishes `/products.json` and
  `/meta.json` for apps and integrations; that is what this actor reads. No key, no login, no
  browser, nothing to rank. Every store's own `robots.txt` is checked first, and a store that
  forbids it is skipped free of charge.
- **It ends with a conclusion, not a dump.** Every report carries `signals`: a store with
  12% of products in stock and half its catalogue marked down comes back as
  `mostly-out-of-stock, heavy-discounting`, next to a store that `added-products-this-week`.
  Scanning 200 competitors becomes a sort on one column.
- **Prices and stock, measured over the whole catalogue.** Cheapest, dearest, average and
  median price, the share in stock, the share on sale and the average discount, plus the top
  product types and brands. Measured on 14-09-2026 over six live stores: every one of those
  fields filled on 100% of the rows.
- **No personal data, on purpose.** The market leader in this niche sells store *leads*,
  which means e-mail addresses. This actor ships company information only: name, country and
  currency. The merchant's city and street are in the source and are deliberately left out.
- **Only delivered reports are charged.** A site that is not Shopify, a store with no public
  products, a typo in your list: free error records.

### Who this is for

Competitor and market research in e-commerce. Agencies qualifying Shopify merchants before a
pitch (catalogue size and staleness say more than a homepage). Brand owners checking which
resellers still stock their products. Anyone tracking a list of stores over time and wanting
to know which ones moved.

### Who this is not for

**Read this before you buy.**

- **Shopify only.** Anything on WooCommerce, Magento, BigCommerce or a custom shop answers
  404 and comes back as `NOT_SHOPIFY`, free. That is a feature of the route, not a bug: the
  data is this good precisely because Shopify publishes it in a fixed shape.
- **One row per store, not one row per product.** You get the catalogue summarised, plus the
  titles of the newest few products. If you need every product with every variant, this is
  the wrong tool.
- **A big catalogue is scanned, not fully counted.** 250 products is one page, about 1.7 MB
  and 2.5 seconds. Above that you pay in time, so `maxProductsScanned` is yours to raise to
  2,500. `hasMoreProducts` and the `catalogue-larger-than-scanned` signal tell you when the
  numbers describe a sample rather than the whole shop.
- **Some sites refuse datacenter traffic altogether.** Those come back as `BLOCKED` after
  every proxy exit has been tried, which is honest but less specific than `NOT_SHOPIFY`: we
  cannot tell a blocked site from a non-Shopify one when nothing answers.
- **Prices are list prices in the store's own currency.** No tax handling, no currency
  conversion, and a price of zero (gift cards, placeholders) is ignored rather than counted
  as the cheapest product.

### Input fields

| Field | Type | Required or default | What it does |
|---|---|---|---|
| `stores` | list of text | required | Store addresses, one per row, up to 200. A domain such as gymshark.com or any URL on the store; the store's own robots.txt is checked before anything is read. |
| `maxProductsScanned` | number | 250 | Cost and speed lever. 250 products is one page, about 1.7 MB and 2.5 seconds. Raise it for a full catalogue on large stores; the report says whether more products exist than were scanned. |
| `sampleSize` | number | 5 | How many of the newest product titles to include, 0 to leave them out. |

### Input example

```json
{
    "stores": [
        "gymshark.com",
        "allbirds.com",
        "https://kith.com/collections/mens",
        "deathwishcoffee.com"
    ],
    "maxProductsScanned": 250,
    "sampleSize": 3
}
```

A domain or any URL on the store both work; the address is reduced to the store itself.

### Output example

| Field | Type | What it holds | Example |
|---|---|---|---|
| `store` | text | The shop this row was read from. | `deathwishcoffee.com` |
| `shopName` | text | The shop's own name; empty when the shop publishes none. | `Death Wish Coffee` |
| `country` | text | The country the shop states for itself; empty when it states none. | `US` |
| `currency` | text | The currency the prices are in, as the shop itself states. | `USD` |
| `isShopify` | true/false | False means the domain answered but is not a Shopify shop, so the rest of the row stays empty. | `True` |
| `productsScanned` | number | How many products this report is based on. Compare it with hasMoreProducts before reading the averages as the whole shop. | `146` |
| `hasMoreProducts` | true/false | True when the shop has more products than maxProductsScanned, so the figures are based on a part of the catalogue. | `False` |
| `variantCount` | number | How many variants the catalogue holds in total, which is a truer measure of size than the product count. | `423` |
| `priceMin` | number | The lowest price in the shop's catalogue. | `5.99` |
| `priceMax` | number | The highest price in the shop's catalogue. | `90` |
| `priceAverage` | number | The average price over the whole catalogue, the quickest measure of where a shop sits. | `29.37` |
| `priceMedian` | number | The middle price, which says more about a shop than the average when a few expensive items pull it up. | `29.98` |
| `inStockShare` | number | The share of scanned products with at least one variant in stock. | `0.979` |
| `onSaleShare` | number | The share of scanned products with a crossed-out price higher than the asking price. | `0.158` |
| `averageDiscountPercent` | number | Filled when at least one product is on sale; empty when none are. | `33.7` |
| `topProductTypes` | list | The most common product types in what was scanned; empty when the shop fills in none. | `["Apparel", "Coffee"]` |
| `topVendors` | list | The most common vendors in what was scanned; empty when the shop fills in none. | `["Death Wish Coffee Company", "Death Wish Coffee"]` |
| `newestProductAt` | text | When the newest scanned product was added; together with oldestProductAt it shows how active the shop is. | `2026-09-25T12:48:06Z` |
| `oldestProductAt` | text | When the oldest scanned product was added. | `2014-03-12T17:35:00Z` |
| `newestProductTitles` | list | A sample of the most recently added products, as many as sampleSize. | `["White Chocolate Pistachio Klean Kanteen (20oz)", "White...` |
| `signals` | list | What the numbers mean in words, for example an unusually high share on sale. Empty when nothing stood out. | `["added-products-this-week"]` |
| `signalCount` | number | How many of those signals were found; zero means nothing stood out. | `1` |
| `robotsRule` | text | The robots.txt rule that decided whether the shop could be read, so the choice can be checked. | `allow /` |

```json
{
    "store": "fashionnova.com",
    "shopName": "Fashion Nova",
    "country": "US",
    "currency": "USD",
    "isShopify": true,
    "productsScanned": 250,
    "hasMoreProducts": true,
    "variantCount": 1452,
    "priceMin": 3.0,
    "priceMax": 219.95,
    "priceAverage": 38.12,
    "priceMedian": 34.99,
    "inStockShare": 0.12,
    "onSaleShare": 0.68,
    "averageDiscountPercent": 47.5,
    "topProductTypes": ["Dresses", "Tops", "Jeans"],
    "topVendors": ["Fashion Nova"],
    "newestProductAt": "2026-09-14T09:12:44Z",
    "oldestProductAt": "2019-04-02T11:00:00Z",
    "newestProductTitles": ["Sequin Mini Dress", "Cargo Wide Leg Jean", "Ribbed Tank"],
    "signals": ["added-products-this-week", "mostly-out-of-stock", "heavy-discounting",
                "catalogue-larger-than-scanned", "single-brand-store"],
    "signalCount": 5,
    "robotsRule": "allow /",
    "status": "ok"
}
```

Error codes: `INVALID_STORE`, `NOT_SHOPIFY`, `NO_PRODUCTS`, `ROBOTS_DISALLOWED`,
`FETCH_FAILED`, `BLOCKED`. None of them are charged. `INPUT_TRUNCATED` appears once when your input is longer than this actor accepts.

### Related actors from steadydata

- [shopify-products-catalog](https://apify.com/steadydata/shopify-products-catalog): every product of the same store instead of a summary
- [woocommerce-store-report](https://apify.com/steadydata/woocommerce-store-report): the same report for WooCommerce stores
- [website-tech-stack](https://apify.com/steadydata/website-tech-stack): confirm the platform and the rest of the stack
- [google-shopping](https://apify.com/steadydata/google-shopping): how the products appear in Google Shopping

### Pricing

Pay per event: one `store-reported` event per delivered report. No start fee, no separate
platform-usage surcharge, and no charge for a store that cannot be read.

**Free Apify plan:** this actor delivers up to 25 rows per run for accounts on the Apify free
plan, and then stops with a message. That limit is set by us, not by Apify. It exists so the
actor keeps paying for itself for the people who do pay. Any paid Apify plan runs it at full
size, billed per delivered row, with failed rows never charged.

**Reviews:** if this actor saves you time, a short review on this page is the one thing that
helps most. Ratings are what other buyers look at first, and we have no other way to ask.

### Use with AI agents

AI assistants such as Claude, ChatGPT or Cursor can run this actor through Apify's own MCP server. Ask for the actor `steadydata/shopify-store-report` by its full name, so the assistant does not pick a different one, and start from this minimal input:

```json
{
  "stores": [
    "gymshark.com",
    "allbirds.com",
    "deathwishcoffee.com"
  ]
}
```

The assistant can read the price per event from the Pricing section above before the first paid run. Failed input comes back as an error row, as described above.

### FAQ

**Which signals can a report carry?**
`tiny-catalogue`, `stale-catalogue-over-a-year`, `no-new-products-90-days`,
`added-products-this-week`, `mostly-out-of-stock`, `heavy-discounting`, `deep-discounts`,
`catalogue-larger-than-scanned` and `single-brand-store`. A store with no signals is simply a
normal, healthy shop.

**Why does `deep-discounts` not appear on a store with one half-price item?**
Because one clearance item says nothing about a shop. The signal needs both a deep average
discount and at least 5% of the catalogue marked down.

**How do I check a store list every week without paying for the full catalogue?**
Leave `maxProductsScanned` at 250. The signals that matter for a watch list, newest product,
stock share and discount share, all come from that first page.

**Is personal data collected?**
No. A shop's name, country and currency are company information. The merchant's city and
province are present in the source and are deliberately not delivered, and there is no
contact data anywhere in the output.

**What happens when a store changes?**
Stores change, and so does Shopify. The actor is run against real stores daily and fixed
fast, and while it is broken you are not charged, because only delivered reports cost
anything.

**Can I call it from my own code, like an API?**
Yes. Every run is available through the Apify API: start it with one HTTP request, then read
the results as JSON, CSV or Excel from the dataset endpoint, or use the official Python and
JavaScript clients. The input is the same JSON as in the input example above, so a scheduled
script, a Make or Zapier step or an AI agent can call it without any changes.

# Changelog

This Actor's version history is a separate document: https://apify.com/steadydata/shopify-store-report/changelog.md

# Actor input Schema

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

Store addresses, one per row, up to 200. A domain such as gymshark.com or any URL on the store; the store's own robots.txt is checked before anything is read.

## `maxProductsScanned` (type: `integer`):

Cost and speed lever. 250 products is one page, about 1.7 MB and 2.5 seconds. Raise it for a full catalogue on large stores; the report says whether more products exist than were scanned.

## `sampleSize` (type: `integer`):

How many of the newest product titles to include, 0 to leave them out.

## Actor input object example

```json
{
  "stores": [
    "gymshark.com",
    "allbirds.com",
    "deathwishcoffee.com"
  ],
  "maxProductsScanned": 250,
  "sampleSize": 5
}
```

# 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 = {
    "stores": [
        "gymshark.com",
        "allbirds.com",
        "deathwishcoffee.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("steadydata/shopify-store-report").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": [
        "gymshark.com",
        "allbirds.com",
        "deathwishcoffee.com",
    ] }

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

```

## MCP server setup

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

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/GBATHrPeyhDbdKLro/builds/aOem5ktG4XKmovRSP/openapi.json