# Shopify Competitor Tracker: Prices, Stock & New Products (`precious_bathmat/shopify-competitor-tracker`) Actor

Paste the domains of the Shopify stores you compete with and get a side-by-side comparison: how big each catalog is, median and range of prices, how much of it is discounted and how deep, what is sold out, and which products were added in the last weeks. No API key, no login, no proxy.

- **URL**: https://apify.com/precious\_bathmat/shopify-competitor-tracker.md
- **Developed by:** [Mariam Ahmed](https://apify.com/precious_bathmat) (community)
- **Categories:** E-commerce, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 Competitor Tracker: Prices, Stock & New Products

**What your competitors charge, what they discount, what they sold out of, and what they just launched.** Paste the store domains and get one row per store, side by side.

Reads the public catalog every Shopify store publishes. No API key, no account, no proxy.

### What does this do?

Every other Shopify Actor either hands you a contact list of stores, or dumps the raw products of one store. Neither answers the question a brand owner actually has: **how do we compare to the three shops we lose customers to?**

This Actor reads each store's catalog, then reports the comparison: catalog size, median and range of prices, how much of the range is discounted and how deep, how much is sold out, and how many genuinely new products went up in the last weeks.

```mermaid
flowchart LR
    A[Competitor<br/>domains] --> B[Public catalog<br/>/products.json]
    B --> C[Prices, discounts,<br/>stock, launch dates]
    C --> D[Store-by-store<br/>comparison]
```

### Who is it for?

| You are | You use it to |
|---|---|
| **DTC brand owners** | See whether you are priced above or below the shops you compete with, every week |
| **Ecommerce managers** | Catch a competitor's sale the day it starts, and see how deep it goes |
| **Product and buying teams** | Watch what rivals launch, and what they let sell out |
| **Dropshippers and resellers** | Find which store sells a product line cheapest, and what is new in a niche |
| **Agencies and consultants** | Put a real pricing benchmark in a pitch instead of a guess |
| **Analysts** | Track assortment and discounting across a set of brands over time |

### What data do you get?

One row per store:

| Field | Meaning |
|---|---|
| `storeName`, `domain`, `country`, `currency` | Who the store is, and the currency these prices came back in |
| `productsAnalyzed`, `variants`, `catalogTruncated` | How much of the catalog was read |
| `medianPrice`, `averagePrice`, `lowestPrice`, `highestPrice` | Where the store sits on price |
| `productsOnSale`, `onSalePercent`, `averageDiscountPercent`, `deepestDiscount` | How much is marked down, and by how much |
| `inStockPercent`, `soldOutProducts` | What is actually buyable right now |
| `newProducts`, `newProductPercent`, `newestProducts` | Products created inside your window, newest first |
| `relaunchedProducts` | Old products that went live again: seasonal lines coming back, not launches |
| `productsAddedPerWeek`, `newestProductAt` | Launch pace, always measured over the last 90 days |
| `topProductTypes`, `topVendors` | What the catalog is mostly made of |
| `keywordMatches`, `keywordLowestPrice`, `keywordMedianPrice`, `keywordCheapestProduct` | The same comparison narrowed to one product line |
| `status`, `failureReason` | `ok`, or why a store could not be read |

The run summary names the winners outright: cheapest store, deepest discounter, biggest catalog, most sold out, fastest launcher, and — with a keyword — the stores ranked by their cheapest matching product.

Turn on **Also return every product as a row** for a second table with price, was-price, discount, stock, vendor, type, launch date and link for every product.

### Example: five clothing brands, one run

A real run on 17 September 2026, 5 stores, 3,961 products, 39 seconds:

| Store | Products | Median price | On sale | Avg discount | In stock | New (30d) | Re-launched | Added / week |
|---|---|---|---|---|---|---|---|---|
| Everlane | 1,000 | $34 | 86% | 74% | 64% | 19 | 981 | 10.2 |
| Tentree | 1,000 | $62 | 34% | 22% | 93% | 7 | 178 | 31.1 |
| Allbirds | 294 | $105 | 0.3% | — | 35% | 0 | 4 | 0 |
| Taylor Stitch | 1,000 | $112 | 52% | 38% | 36% | 0 | 30 | 0 |
| Rothy's | 667 | $130 | 18% | 18% | 83% | 2 | 86 | 5.7 |

Read as a brief: Everlane was running a clearance across most of its catalog, Taylor Stitch had sold out of nearly two thirds of what it lists, Allbirds barely discounts at all, and Tentree was shipping new products faster than anyone.

With the keyword `sweater`, the same run ranked the stores by their cheapest sweater: Everlane from $20 (162 matches), Taylor Stitch from $65 (68), Tentree from $78 (50).

### Two things this Actor gets right

**A re-published product is not a new product.** Many stores republish their catalog, which resets the published date on everything. Everlane looks like it launched 1,000 products last month; it created 19. This Actor uses the earlier of the created and published dates, and counts the rest separately as `relaunchedProducts`.

**A store can answer in a different currency than its own.** With Shopify Markets, the same catalog returns local prices based on where the request comes from, while the store's own settings still say USD. Every row reports the currency the prices really came in (`currency`), the shop's home currency (`storeCurrency`), and whether they match — and the comparison only ranks stores that answered in the same currency.

### How to use it

1. Paste your **store domains**, one per line: `allbirds.com`, `https://gymshark.com`, `www.rothys.com` all work.
2. Optionally add a **keyword** such as `hoodie` to compare one product line instead of whole catalogs.
3. Pick what counts as **new** (7, 14, 30 or 90 days) and a **cap per store** to control cost.
4. Run it. A five store run takes well under a minute.

### Limits worth knowing

- **About 15% of stores keep their catalog closed.** A store can switch the public catalog off, rate limit it or sit behind a bot filter. Those stores come back as `catalog not public` with the reason, and are never charged for.
- **Prices exclude tax and shipping**, and are whatever the store served this run.
- **Discounts are only visible when the store uses a was-price.** Shops that discount in the cart instead (Allbirds, above) correctly show almost nothing on sale.
- **Big catalogs are read newest first.** If a store has more products than your cap, the row says `catalogTruncated: true` and the numbers describe the newest part of the catalog.
- This reads what a store publishes to anyone who visits. It is not a private data source and needs no login.

### Pay-per-event pricing

| Event | Price |
|---|---|
| Store report | $0.02 |
| Product row (only with the products table on) | $0.0002 |

Five competitors, comparison only: **$0.10**. The same five with every product row: about **$0.90**.

### Popular comparisons

Ready-made runs you can open, change and re-run.

- [Sustainable Fashion Brands: Price & Catalog Comparison](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/sustainable-fashion-price-comparison) — allbirds, tentree, everlane, rothys: prices, discounts, stock
- [Activewear Brands Compared: Prices, Sales and New Drops](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/activewear-brand-price-comparison) — gymshark, aloyoga, outdoorvoices, popflexactive: prices, discounts, stock
- [Men's Clothing Brands: Price and Stock Comparison](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/mens-clothing-store-price-comparison) — taylorstitch, untuckit, chubbiesshorts, birddogs: prices, discounts, stock
- [Women's Fashion Brands: Price and New Arrival Tracker](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/womens-fashion-store-price-comparison) — edikted, whitefoxboutique, cupshe, ohpolly: prices, discounts, stock
- [Coffee Brands Compared: Prices, Discounts and Stock](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/coffee-brand-price-comparison) — deathwishcoffee, peets, cometeer, bulletproof: prices, discounts, stock
- [Skincare and Body Care Brands: Price Comparison](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/skincare-brand-price-comparison) — glossier, starface, nativecos, drsquatch: prices, discounts, stock
- [Makeup Brands Compared: Prices, Sales and New Products](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/makeup-brand-price-comparison) — colourpop, morphe, kyliecosmetics, jeffreestarcosmetics: prices, discounts, stock
- [Home Goods Brands: Price and Assortment Comparison](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/home-goods-store-price-comparison) — brooklinen, bearaby, thesill, greatjonesgoods: prices, discounts, stock
- [Supplement Brands Compared: Prices and Availability](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/supplement-brand-price-comparison) — vitalproteins, bulletproof, gfuel, ritual: prices, discounts, stock
- [Shoe Brands Compared: Prices, Discounts and Stock](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/shoe-store-price-comparison) — allbirds, rothys, stevemadden, tecovas: prices, discounts, stock
- [Hoodie Prices Compared Across Four Clothing Brands](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/hoodie-price-comparison) — gymshark, aloyoga, tentree, taylorstitch: cheapest **hoodie**
- [Jeans Prices Compared Across Four Denim Brands](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/jeans-price-comparison) — everlane, taylorstitch, edikted, fashionnova: cheapest **jeans**
- [T-Shirt Prices Compared Across Four Brands](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/t-shirt-price-comparison) — gymshark, tentree, chubbiesshorts, representclo: cheapest **t-shirt**
- [Dress Prices Compared Across Four Fashion Brands](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/dress-price-comparison) — ohpolly, cupshe, whitefoxboutique, fashionnova: cheapest **dress**
- [New Product Launches at Five DTC Brands This Week](https://apify.com/precious_bathmat/shopify-competitor-tracker/examples/new-product-launches-dtc-brands) — gymshark, everlane, tentree, colourpop, fashionnova: prices, discounts, stock

Each page runs the same Actor with a different set of stores. Open one, swap in your own competitors, and run it.

# Actor input Schema

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

The store domains you want compared, one per line: allbirds.com, https://gymshark.com, www.rothys.com. Any Shopify store works as long as its owner has left the public catalog switched on, which most have.

## `keyword` (type: `string`):

Leave empty to compare whole catalogs. Type something like "hoodie" or "wool runner" to compare only the products that match, and the summary will rank the stores by their lowest matching price. All words must appear somewhere in the title, type, vendor or tags.

## `newWithinDays` (type: `string`):

The window used for the "new products" columns. Products added per week is always measured over the last 90 days, so stores stay comparable.

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

A cap on how much of each catalog is read, and therefore on what a run costs. Stores hand back their newest products first, so a capped run describes the newest part of the catalog and says so.

## `includeProducts` (type: `boolean`):

Adds a second table with one row per product: price, was-price, discount, stock, vendor, type and link. Charged per product, so leave it off if you only need the store comparison.

## Actor input object example

```json
{
  "stores": [
    "allbirds.com",
    "gymshark.com"
  ],
  "keyword": "hoodie",
  "newWithinDays": "30",
  "maxProductsPerStore": 1000,
  "includeProducts": false
}
```

# Actor output Schema

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

Catalog size, prices, discounts, stock and new products for every store.

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

Every product behind the numbers, when that option is on.

## `summary` (type: `string`):

Who is cheapest, who discounts hardest, and which stores could not be read.

# 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",
        "rothys.com",
        "everlane.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("precious_bathmat/shopify-competitor-tracker").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",
        "rothys.com",
        "everlane.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("precious_bathmat/shopify-competitor-tracker").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",
    "rothys.com",
    "everlane.com"
  ]
}' |
apify call precious_bathmat/shopify-competitor-tracker --silent --output-dataset

```

## MCP server setup

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

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/zmDkcg8cGoQx4UgW4/builds/FsC0dxbJ86fU3DpuP/openapi.json