# Shopify App Store Scraper (`bigibyte/shopify-app-store-scraper`) Actor

Easily collect public Shopify app listings, search results, descriptions, and ratings. Extract competitor data, market research, or lead lists effortlessly, and export clean data to JSON, CSV, or Excel

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

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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 App Store Scraper

![Shopify App Store Scraper cover](https://images.bigibyte.com/cdn-cgi/image/width=1260,height=540,fit=cover,format=webp/apify-actors-covers/shopify-app-store-scraper-cover.png)

Gather comprehensive details on Shopify apps straight from the public App Store with ease. Whether you are running quick keyword searches or pulling full application listings, this tool retrieves essential app names, summaries, visuals, ratings, and structured metadata, allowing you to export clean datasets directly into JSON, CSV, or Excel formats.

### What it does

This tool reads public App Store pages to collect rich application listings. Search mode quickly processes result queries to build structured shortlists, while details mode dives straight into specific app handles to extract deep metadata. It is built for anyone who needs reliable Shopify App Store intelligence without dealing with manual browsing or custom scrapers.

### Modes

- **Search apps**: Iterates through result pages for your specified keywords until your item cap is reached.
- **App details**: Fetches complete listing pages directly for the specific app handles you provide.

### Input example

```json
{
  "mode": "search",
  "queries": ["email"],
  "maxItems": 50,
  "requestDelaySecs": 2
}

```

Details mode example:

```json
{
  "mode": "details",
  "appHandles": ["klaviyo-email-marketing"],
  "maxItems": 10
}

```

### Output example

```json
{
  "schemaContext": "https://schema.org",
  "schemaType": "SoftwareApplication",
  "name": "Klaviyo: Email Marketing & SMS",
  "appDescription": "Klaviyo is a leading email and sms marketing app for Shopify. Improve your marketing ROI with our templates to deliver personalized email and sms campaigns.",
  "image": "https://cdn.shopify.com/app-store/listing_images/5edd9000b933a8fa88c152d1e498531f/icon/CP6B2OOv3PYCEAE=.png",
  "operatingSystem": "Shopify",
  "ratingType": "AggregateRating",
  "ratingValue": 4.7,
  "ratingCount": 3372
  "appHandle": "klaviyo-email-marketing",
  "scrapedAt": "2026-10-26T00:00:00+00:00"
}

```

### Use cases

- **Competitor scans**: Search niche keywords and export curated shortlists of Shopify apps complete with ratings and review counts.
- **Listing checks**: Re-fetch known app handles over time to monitor description updates or rating shifts.
- **Market research**: Build structured spreadsheets containing app names, publisher brands, and review metrics categorized by theme.
- **Lead lists**: Gather publisher brands and app listing URLs for outreach and market analysis.

### Pricing and Usage Limits

- **Flexible execution**: Control your volume using the `maxItems` parameter, with runs scaling smoothly up to 1,000 items per execution.
- **Resource management**: Adjust request delays to maintain smooth and steady data retrieval.

### FAQ

**Who is this for?**
Analysts, marketers, and developers who need clean Shopify App Store listings neatly organized in spreadsheets or datasets.

**What can I export?**
You can export your collected data in JSON, CSV, Excel, and various other standard dataset formats.

**Can I run it on a schedule?**
Yes, you can set up automated schedules to refresh your dataset regularly.

**How many apps can one run return?**
Up to your configured `maxItems` value, with a maximum ceiling of 1,000 items per run.

### Related tools

If you plan to map or join these rows, a geocoding pass or a quick CSV cleanup are the usual next steps. BigiByte also builds scrapers for other open-data portals when you need them as a separate job.

Need another portal, a scheduled monitor, or a custom pipeline? BigiByte builds custom scrapers and APIs: <https://bigibyte.com>

### Trademark Notice

Shopify App Store and related names, logos, and trademarks belong to their respective owners. Their use in this documentation is solely to identify the source of the data and does not imply affiliation, sponsorship, endorsement, or partnership.

### Disclaimer

This tool operates independently and is not affiliated with, endorsed by, sponsored by, or otherwise officially associated with Shopify or its owners. All data is gathered strictly from publicly available sources. Users are responsible for complying with applicable terms of use, rate limits, and attribution requirements.

### Is web scraping legal?

This actor extracts publicly accessible data without bypassing login screens, paywalls, or technical security layers. While collecting public web data is widely permitted, compliance depends on how data is gathered and used:

- **Personal data**: When collecting identifiers like emails, phone numbers, or social handles, ensure compliance with applicable data protection laws such as GDPR or CCPA.
- **Copyrighted content**: Public text, images, and visual assets are often protected by intellectual property rights. Avoid directly duplicating or redistributing full creative works.
- **Platform terms & rate limits**: Practice responsible data extraction by avoiding aggressive traffic spikes, adhering to rate limits, and respecting published platform policies.
- **Disclaimer**: This summary serves informational purposes only and does not constitute formal legal counsel. Seek professional legal advice for specific compliance queries.
- For a detailed guide, see Apify's legal overview: [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/)

# Actor input Schema

## `mode` (type: `string`):

What to scrape. Search pages through App Store search results. Details fetches each app listing page.

## `queries` (type: `array`):

Search terms used in search mode.

## `appHandles` (type: `array`):

App handles or listing URLs for details mode.

## `maxItems` (type: `integer`):

Stop after this many successful rows. Hard max is 1000.

## `requestDelaySecs` (type: `number`):

Seconds to wait between requests.

## `userAgent` (type: `string`):

User-Agent header sent with each request.

## `timeoutSecs` (type: `integer`):

Overall run budget in seconds.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

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

Optional proxy. Leave off unless you need it.

## Actor input object example

```json
{
  "mode": "search",
  "queries": [
    "email"
  ],
  "appHandles": [
    "klaviyo-email-marketing"
  ],
  "maxItems": 100,
  "requestDelaySecs": 2,
  "userAgent": "ActorResearch/1.0",
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Dataset rows in the overview table.

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

Full dataset for this run.

## `items` (type: `string`):

Dataset items as JSON.

# 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 = {
    "queries": [
        "email"
    ],
    "appHandles": [
        "klaviyo-email-marketing"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("bigibyte/shopify-app-store-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 = {
    "queries": ["email"],
    "appHandles": ["klaviyo-email-marketing"],
}

# Run the Actor and wait for it to finish
run = client.actor("bigibyte/shopify-app-store-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 '{
  "queries": [
    "email"
  ],
  "appHandles": [
    "klaviyo-email-marketing"
  ]
}' |
apify call bigibyte/shopify-app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bigibyte/shopify-app-store-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/o2bSShvPUpfmF10rC/builds/yBCKP0IvD1a6ABjKM/openapi.json