Shopify App Store Scraper

What is Shopify App Store Scraper?

Shopify App Store Scraper turns search keywords, category URLs or app URLs from apps.shopify.com into a dataset of app records and, on request, merchant review records. App rows return the app name, slug, URL, icon, star rating, review count and pricing badge, and detail mode adds the description, developer, pricing plans, categories, works-with integrations, languages and launch date. Review rows return the star rating, review text, store name, country, usage duration, post date and the developer's reply. SaaS founders, Shopify agencies, app marketers and AI agents use it to map a niche, benchmark competitor pricing and mine merchant feedback.

Why app builders use this Shopify App Store scraper

• Four modes in one Actor. Search, category, app detail and reviews, auto-detected from each input so you can mix them in one run.
• Competitor pricing plans. Detail mode returns each plan's name, price, features and extra charges in pricingPlans.
• Merchant voice with replies. Review rows carry usageDuration, country and developerReply, which show how vendors handle feedback.
• Targeted review pulls. Sort by recency, rating or helpfulness and filter to one star rating, such as only 1-star or only 5-star reviews.
• Two simple caps. maxApps and maxReviews keep each run's event count predictable.

Best fit for this Actor

• Designed for Shopify app market research: niche sizing, competitor benchmarking, pricing comparison and review mining.
• Use search mode to discover every app for a keyword, then pass the appUrl values back in startUrls with scrapeReviews on for the apps you want to study.
• For the same research on mobile apps, continue with Google Play Store Scraper — Apps, Reviews, Charts.
• When you want the merchants' storefront products instead of their apps, use Shopify Scraper — Products, Collections, Reviews & Emails.

Example workflow: from a niche keyword to a positioning brief

A founder planning an email-marketing app starts with the keyword email marketing. They run search mode with maxApps set to 50 and get every matching app with rating, reviewsCount and pricingBadge. They pick the five apps with the most reviews, pass their appUrl values into startUrls with scrapeReviews on, reviewRating set to 1 and maxReviews set to 100. They export the 1-star reviews, group the complaints by theme, compare them with each competitor's pricingPlans, and feed the result into their positioning brief.

Input

Field	Type	What it controls
queries	array	Search keywords, one niche per line, for example email marketing.
startUrls	array	App, category, /reviews or search URLs on apps.shopify.com.
mode	string	auto (default), search, category, app_detail or reviews.
enrichDetails	boolean	Visit each search or category result for full detail. Default false.
scrapeReviews	boolean	Also collect merchant reviews for each app. Default false.
maxApps	integer	Apps per query or category. Default 50.
maxReviews	integer	Reviews per app. Default 100.
reviewSort	string	most_recent, highest_rating, lowest_rating or most_helpful.
reviewRating	integer	Only reviews with this star rating, 1 to 5; 0 keeps all.
country	string	Proxy country, which sets the currency shown on listings. Default US.
maxConcurrency	integer	Parallel requests. Default 10.
proxyConfiguration	object	Apify Proxy settings.

{
  "startUrls": [
    { "url": "https://apps.shopify.com/klaviyo-email-marketing" },
    { "url": "https://apps.shopify.com/judgeme-product-reviews" }
  ],
  "scrapeReviews": true,
  "maxReviews": 200,
  "reviewSort": "lowest_rating"
}

Output

Each row has recordType set to app or review.

App fields:

Field	What it contains
appName, appSlug, appUrl, iconUrl	App identity and icon
rating, reviewsCount, pricingBadge	Star rating, review count and pricing badge from the listing card
query	The search keyword that found the app
tagline, description	Marketing copy (detail mode)
developer, developerUrl	Developer name and partner page (detail mode)
priceFrom, pricingPlans	Starting price and every plan with features and extra charges (detail mode)
ratingBreakdown	Review count per star level (detail mode)
category, categories, worksWith, languages	Classification and integrations (detail mode)
launchedAt, builtForShopify	Launch date and Built for Shopify badge (detail mode)
scrapedAt	Collection time

Review fields:

Field	What it contains
appName, appSlug, reviewId	App and review identity
rating, reviewBody	Star rating and full review text
storeName, country, usageDuration	Reviewing merchant, country and time using the app
postedAt	Review date
developerReply, developerReplyAt	Developer response and its date

Search-mode app row:

{
  "recordType": "app",
  "appName": "Klaviyo: Email Marketing & SMS",
  "appSlug": "klaviyo-email-marketing",
  "appUrl": "https://apps.shopify.com/klaviyo-email-marketing",
  "iconUrl": "https://cdn.shopify.com/app-store/listing_images/5edd9000b933a8fa88c152d1e498531f/icon/CP6B2OOv3PYCEAE=.png",
  "rating": 4.7,
  "reviewsCount": 3335,
  "pricingBadge": "Free to install",
  "query": "email marketing",
  "scrapedAt": "2026-10-01T13:34:17.429Z"
}

Search and category rows are lean listing cards. Turn on enrichDetails, or pass app URLs, when you need developer, plans, categories and integrations on every app.

Pricing

This Actor uses Pay per event with Apify platform usage included in the event price. You pay one App scraped event per app row (listing card or enriched detail), one Review scraped event per review row, and one small Actor Start event per run. The live Pricing tab on this page shows the current event prices.

Worked example: a search with maxApps set to 50 costs 50 app events plus one start event. Adding reviews for five apps with maxReviews set to 100 adds up to five hundred review events.

API example

curl -X POST "https://api.apify.com/v2/acts/khadinakbar~shopify-app-store-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["product reviews"], "maxApps": 20}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("khadinakbar/shopify-app-store-scraper").call(run_input={
    "startUrls": [{"url": "https://apps.shopify.com/klaviyo-email-marketing/reviews"}],
    "reviewRating": 1,
    "maxReviews": 100,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row["recordType"] == "review":
        print(row["rating"], row["country"], row["reviewBody"][:80])

Use with AI agents (MCP)

Connect the Actor to Claude, ChatGPT, Cursor or any MCP client through Apify MCP, then ask:

List the top 20 Shopify apps for "email marketing" with rating, review count and pricing badge, then summarize the 1-star reviews of the top app.

The agent runs search mode, reads app rows with get-dataset-items, then runs a reviews pass for one appUrl with reviewRating set to 1. Rows are separated by recordType, and appUrl plus scrapedAt give provenance. Cost scales with app and review rows, so keep maxApps and maxReviews tight in chat.

Best results

Starting situation	Helpful action	Expected outcome
Sizing a niche	Use queries with a generous maxApps	Every matching app for the keyword
A curated shortlist	Paste a /categories/<slug> URL	The category's featured apps
Competitor pricing	Pass app URLs or turn on enrichDetails	Plans, features and extra charges
Finding pain points	Set reviewRating to 1 or 2 with reviewSort most_recent	Fresh complaints to build against
Regional pricing	Set country, for example GB	Listings in that market's currency
Large jobs	Lower maxConcurrency to 5	A steady, even pace

Builder's note

I built this around the founder's research loop: find the apps in a niche, open the leaders' pricing, then read what merchants complain about. I designed search rows to stay lean and made full detail opt-in, because most niche scans only need names, ratings and badges, and detail visits add time. I found that developer replies say a lot about a competitor's support culture, so every review row keeps the reply and its date.

FAQ

How do I get pricing plans?

Pass app URLs in startUrls, or turn on enrichDetails for search and category runs. Plans are in pricingPlans.

Which popularity signals are available?

The App Store publishes star ratings and review counts, so rating and reviewsCount are the public popularity signals.

Does it need a Shopify login?

No. The Actor reads the public App Store with no login or cookies.

Responsible use

This Actor collects publicly available information from apps.shopify.com. Review text and store names are user-generated public content, so use them in line with the GDPR, CCPA and the Shopify App Store terms, and contact merchants only through lawful channels. Shopify is a trademark of Shopify Inc.; this independent Actor is not affiliated with or endorsed by Shopify. For questions or bugs, open a ticket in the Issues tab.