Pricing

from $7.00 / 1,000 shopify app records

🛒 Shopify App Store Scraper

Scrape Shopify App Store listings: name, tagline, description, rating, review count, pricing tiers, BFS badge, categories, developer info. Watchlist mode tracks rating/review changes day-over-day. Export, run via API, schedule, or integrate with other tools.

Pricing

from $7.00 / 1,000 shopify app records

Rating

0.0

(0)

Developer

Skootle

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

E-commerce

Lead generation

You can access the 🛒 Shopify App Store Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "appHandles": [
10        "loox",
11        "vitals",
12        "klaviyo",
13    ],
14    "apifyProxyGroups": ["RESIDENTIAL"],
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("skootle/shopify-app-store-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

🛒 Shopify App Store Scraper · App Listings JSON API in Python

The Apify API client for Python is the official library that allows you to use 🛒 Shopify App Store Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

🛒 Shopify App Store Scraper API in JavaScript

🛒 Shopify App Store Scraper API through CLI

🛒 Shopify App Store Scraper OpenAPI definition

🛒 Shopify App Store Scraper API

Shopify App Store Scraper

gio21/shopify-app-store-scraper

Search the Shopify App Store by keyword and extract every app result: name, rating, review count, pricing label, tagline, icon, and Built for Shopify badge.

Gio

Shopify App Store Scraper

jungle_synthesizer/shopify-app-store-scraper-2

Scrape apps from the Shopify App Store with pricing, ratings, developer info, and user reviews

BowTiedRaccoon

255

1.0

Shopify App Store Scraper

alwaysprimedev/shopify-app-store-scraper

Scrape the Shopify App Store for app metadata, pricing tiers, ratings, reviews, and Built-for-Shopify badges. Designed for delta-tracking — daily price drops, rating shifts, and badge wins.

Always Prime

148

🍎 App Store Reviews Scraper

skootle/app-store-reviews

Scrape Apple App Store reviews + app metadata across countries and apps. Rating, title, body, version, helpful votes, author. Watchlist mode emits only new reviews. Joins each review with app metadata. Export, run via API, schedule, or integrate with other tools.

Skootle

Shopify App Store Tracker — Ratings, Pricing & Developer Data

actorpilot/shopify-app-store-tracker

Scrape apps.shopify.com for Shopify app listings by keyword or category. Extract ratings, review counts, pricing models, developer names, taglines, and descriptions for competitor research, market analysis, partner prospecting, and App Store tracking.

S. Klein

Shopify App Reviews Scraper

powerai/shopify-app-reviews-scraper

Scrape customer reviews from Shopify App Store by providing a review page URL, with automatic pagination and comprehensive review information extraction.

PowerAI

Shopify Product Details

getdataforme/shopify-product-details

Scrape detailed app info from the Shopify App Store. Get app names, ratings, features, pricing, developer links, and screenshots for any app page. Perfect for market research, app directories, and competitor analysis.