Shopify App Store Tracker - Review Velocity, Rank History

Which Shopify apps are gaining reviews fastest, who is moving up in my category, which apps launched or were delisted this week? The App Store only shows today. This actor answers from our own daily archive of the Shopify App Store and returns clean JSON rows.

No login, no proxies, no scraping on your run: the actor reads our archive, so results come back in seconds. Developer fields are company names only, no personal data.

What makes this one different

• Daily history, not a live snapshot. Scrapers show the App Store as it is right now. Our archive snapshots about 26,000 apps every day: rating, review count, pricing label, Built for Shopify badge and the rank in each of the 90 leaf categories. The archive started on 2026-11-03 and grows every day. A clone cannot backfill the days it did not record.
• Review velocity: reviews gained over a lookback window, per day, plus rating change.
• Rank changes inside every category (rank, rankThen, rankChange).
• New and delisted apps feed, based on the Shopify sitemap.
• Alerts: only-new mode reports a row only when a competitor gains reviews or moves rank.

Honest limits: history starts on 2026-11-03, so with few snapshots most deltas are small or zero. They become richer each day. For live full app details and review text use the Shopify App Store Scraper.

Modes

Mode	What you get
velocity (default)	Apps sorted by reviews gained over lookbackDays, optionally within one category
category	Ranked list of one category with rank changes
apps	Current numbers plus the daily history (rating, reviews, pricing) of the apps you list
new	Newly listed and delisted apps (event new or delisted). Can be empty on a quiet day, which is not an error
categories	The 90 category slugs with app counts

How to use it (step by step)

1. Click Try for free.
2. Keep the default (review-gain ranking in the Product Reviews category) or choose a mode.
3. Click Start and download JSON, CSV or Excel, or call it by API.

API example (copy and paste)

Replace MY_APIFY_TOKEN with your token from Apify Console, Settings, Integrations.

curl -s -X POST "https://api.apify.com/v2/acts/martin10291~shopify-app-store-tracker/run-sync-get-dataset-items?token=MY_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"velocity","category":"marketing-and-conversion-social-trust-product-reviews","limit":20}'

Daily history of competitor apps:

curl -s -X POST "https://api.apify.com/v2/acts/martin10291~shopify-app-store-tracker/run-sync-get-dataset-items?token=MY_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"apps","apps":["judgeme","loox"]}'

Use it from AI agents (MCP)

Add the actor to Claude, Cursor or any MCP-capable agent with the Apify MCP server:

https://mcp.apify.com?tools=martin10291/shopify-app-store-tracker

Then ask: "Which apps in the email marketing category gained the most reviews in the last 14 days?" The output is flat, documented JSON.

Alerts on competitors

Set onlyNew to true and a monitorId. In new mode you get each newly listed or delisted app once. In the other modes you get only rows whose reviews, rating or rank changed since the last run with the same Monitor ID (change is new or changed). The first run reports everything. Schedule it daily and connect a webhook, Slack or email. Each result is paid for once.

Input

Field	Default	Description
mode	velocity	velocity, category, apps, new or categories
category	marketing-and-conversion-social-trust-product-reviews	Leaf category slug or categories URL (required for category mode)
apps	judgeme, flow	App handles or URLs (apps mode)
lookbackDays	30	Compare with this many days ago (velocity)
minReviews	0	Skip apps with fewer reviews (velocity)
since	empty	YYYY-MM-DD, for new mode
limit	50	Max rows (1-1000)
onlyNew	false	Only new or changed rows since last run
monitorId	default	Separate memory per watch list

Output example (velocity mode, real data from 2026-11-04)

{
  "handle": "judgeme",
  "name": "Judge.me Product Reviews App",
  "url": "https://apps.shopify.com/judgeme",
  "developer": "Judge.me",
  "launched": "June 25, 2015",
  "rating": 5.0,
  "reviews": 49583,
  "pricing": "Free plan available",
  "builtForShopify": true,
  "reviewsThen": 49580,
  "reviewsDelta": 3,
  "reviewsPerDay": 3.0,
  "ratingThen": 5.0,
  "ratingDelta": 0.0,
  "categories": [{"category": "marketing-and-conversion-social-trust-product-reviews", "rank": 1}],
  "comparedWith": "2026-11-03",
  "day": "2026-11-04",
  "archiveFrom": "2026-11-03",
  "archiveSnapshots": 2
}

Fields that are not known for an app (for example developer or launched, which exist only for apps with detail pages in the archive) are null.

Pricing

Pay per result, $3 per 1,000 results. The Run summary record (RUN_SUMMARY) reports counts, the archive range and lastError.

FAQ

Where does the data come from? From our own daily snapshots of the public Shopify App Store, not from your run.

How far back does history go? To 2026-11-03. Each day adds one snapshot, so lookbacks get more meaningful over time.

Can I get review texts or full app descriptions? Not here. Use the Shopify App Store Scraper for live details and reviews.

Why is new empty? No app was newly listed or delisted in that period. The run still succeeds.

Is personal data included? No. Developer means the company name shown in the App Store.