# Shopify Competitor Intelligence (`mighty_monk/shopify-competitor-intelligence`) Actor

Generate a complete competitor intelligence report for one or more Shopify stores: products, collections, SEO, technology stack, theme, and content pages. Exports JSON dataset plus CSV and Markdown summaries.

- **URL**: https://apify.com/mighty\_monk/shopify-competitor-intelligence.md
- **Developed by:** [Harsh](https://apify.com/mighty_monk) (community)
- **Categories:** E-commerce, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 store intelligence reports

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Shopify Competitor Intelligence

Generate a complete competitor intelligence report for one or more Shopify stores.

This Actor crawls each store's public endpoints and homepage HTML to extract:

- **Store info** — name, domain, country, currency, language, theme, theme developer
- **Products** — via `/products.json` pagination (titles, prices, compare-at, discounts, availability, variants, images)
- **Collections** — via `/collections.json` when available
- **SEO** — title, meta description, Open Graph, Twitter Cards, JSON-LD, canonical, robots.txt, sitemap
- **Technology** — analytics, pixels, payments, chat widgets, marketing tools, CDN, JS frameworks, cookie banners
- **Content pages** — blog, FAQ, about, contact, policies (from nav/footer links)

### Features

- TypeScript + Crawlee `CheerioCrawler` (fast HTTP, no browser required)
- Multi-store batch analysis
- Product pagination with configurable caps (`maxProducts`, `maxProductPages`)
- Deduplication of product IDs/handles
- Rate limiting via `requestDelayMs` → `maxRequestsPerMinute`
- Apify Proxy support
- Structured JSON dataset (one report per store)
- CSV + Markdown summaries in the key-value store

### Installation / local run

```bash
cd shopify-competitor-intelligence
npm install
npm run build
```

Create input:

```bash
## storage/key_value_stores/default/INPUT.json
{
  "urls": ["https://www.allbirds.com"],
  "maxProducts": 50,
  "proxyConfiguration": { "useApifyProxy": false }
}
```

```bash
npm start
## or
apify run
```

### Input

| Field                 | Type       | Default        | Description                              |
| --------------------- | ---------- | -------------- | ---------------------------------------- |
| `urls`                | `string[]` | *required*     | Shopify store homepage URLs              |
| `maxProducts`         | `integer`  | `100`          | Max products per store (max 2500)        |
| `maxProductPages`     | `integer`  | `5`            | Max `products.json` pages (250/page)     |
| `includeProducts`     | `boolean`  | `true`         | Fetch products                           |
| `includeCollections`  | `boolean`  | `true`         | Fetch collections                        |
| `includeContentPages` | `boolean`  | `true`         | Detect content pages from homepage links |
| `maxConcurrency`      | `integer`  | `3`            | Max concurrent requests                  |
| `minConcurrency`      | `integer`  | `1`            | Min concurrent requests                  |
| `requestDelayMs`      | `integer`  | `300`          | Delay used to derive rate limit          |
| `maxRequestRetries`   | `integer`  | `3`            | HTTP retries                             |
| `proxyConfiguration`  | `object`   | Apify Proxy on | Proxy settings                           |

#### Example input

```json
{
    "urls": ["https://www.allbirds.com", "https://www.brooklinen.com"],
    "maxProducts": 100,
    "maxProductPages": 5,
    "maxConcurrency": 3,
    "includeProducts": true,
    "includeCollections": true,
    "includeContentPages": true
}
```

### Output

#### Dataset

One item per store — full structured `CompetitorReport` object (store, products, collections, SEO, technology, content, errors).

#### Key-value store

| Key                     | Description                    |
| ----------------------- | ------------------------------ |
| `COMPETITOR_REPORT.csv` | Flattened summary table        |
| `COMPETITOR_REPORT.md`  | Human-readable Markdown report |
| `OUTPUT`                | Run summary JSON               |

#### Example output fields

```json
{
    "store": {
        "storeName": "Allbirds",
        "domain": "allbirds.com",
        "currency": "USD",
        "theme": { "name": "...", "developer": "..." }
    },
    "products": {
        "totalProducts": 100,
        "vendors": ["Allbirds"],
        "productTypes": ["Shoes"],
        "priceRange": { "min": 18, "max": 165, "average": 88.5 },
        "items": [/* product details */]
    },
    "collections": { "totalCollections": 20, "items": [] },
    "seo": { "title": "...", "metaDescription": "...", "openGraph": {} },
    "technology": { "analytics": [], "pixels": [], "marketing": [] },
    "content": { "hasBlog": true, "hasFaq": true, "pages": [] },
    "scrapedAt": "2026-07-13T12:00:00.000Z",
    "errors": []
}
```

### How it works

For each store URL the Actor enqueues:

1. Homepage HTML — SEO, theme, tech stack, content links, store name
2. `/robots.txt` + sitemap probe
3. `/cart.js` — currency
4. `/products.json?page=N&limit=250` — paginated products (optional)
5. `/collections.json` — collections (optional)

Results are aggregated in memory per store origin, then pushed as a single dataset item.

### Limitations

- Works best on **public Shopify storefronts** that expose `products.json` / `collections.json`
- Headless / Hydrogen / heavily bot-protected stores may block or hide JSON endpoints
- Technology detection is signature-based (not a full Wappalyzer crawl of every asset)
- Theme developer is inferred from theme name/schema when possible
- Product catalog is capped by `maxProducts` and `maxProductPages`
- Does not log in or access private admin APIs

### FAQ

**Does this work only on Shopify?**\
It targets Shopify public endpoints and theme markers. Non-Shopify sites will return partial data (homepage SEO/tech only) or errors for JSON endpoints.

**Why are some products missing?**\
Increase `maxProducts` / `maxProductPages`, or the store may not expose `products.json`.

**Do I need a proxy?**\
Recommended on the Apify platform for reliability. Locally you can set `"useApifyProxy": false`.

**How is pricing charged?**\
Pay-per-event: each store report (dataset item) is charged as one result.

### Development

```bash
npm install
npm run lint
npm run format
npm run build
npm test
```

### Changelog

#### 1.0.0

- Initial release
- Multi-store competitor intelligence reports
- Products, collections, SEO, technology, content detection
- CSV + Markdown exports

### License

ISC

# Actor input Schema

## `urls` (type: `array`):

One or more Shopify store homepage URLs to analyze (e.g. https://www.allbirds.com).

## `maxProducts` (type: `integer`):

Maximum number of products to collect per store via products.json pagination.

## `maxProductPages` (type: `integer`):

Maximum number of products.json pages to fetch per store (250 products per page).

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

Fetch and analyze products via the public products.json API.

## `includeCollections` (type: `boolean`):

Fetch collections via collections.json when available.

## `includeContentPages` (type: `boolean`):

Detect blog, FAQ, about, contact, and policy pages from homepage navigation and footer links.

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

Maximum number of concurrent HTTP requests.

## `minConcurrency` (type: `integer`):

Minimum number of concurrent HTTP requests.

## `requestDelayMs` (type: `integer`):

Approximate delay between requests per worker; used to derive max requests per minute.

## `maxRequestRetries` (type: `integer`):

How many times to retry a failed HTTP request.

## `proxyConfiguration` (type: `object`):

Apify Proxy settings. Recommended for larger stores or when stores block datacenter IPs.

## Actor input object example

```json
{
  "urls": [
    "https://www.allbirds.com"
  ],
  "maxProducts": 100,
  "maxProductPages": 5,
  "includeProducts": true,
  "includeCollections": true,
  "includeContentPages": true,
  "maxConcurrency": 3,
  "minConcurrency": 1,
  "requestDelayMs": 300,
  "maxRequestRetries": 3,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `csv` (type: `string`):

No description

## `markdown` (type: `string`):

No description

## `summary` (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 = {
    "urls": [
        "https://www.allbirds.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mighty_monk/shopify-competitor-intelligence").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 = { "urls": ["https://www.allbirds.com"] }

# Run the Actor and wait for it to finish
run = client.actor("mighty_monk/shopify-competitor-intelligence").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.allbirds.com"
  ]
}' |
apify call mighty_monk/shopify-competitor-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=mighty_monk/shopify-competitor-intelligence",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/4b4XFoRN2A7Lz3aUu/builds/ckcChDVMHzIMVkaIe/openapi.json