Applora - Shopify App Store Intelligence
Under maintenancePricing
Pay per usage
Applora - Shopify App Store Intelligence
Under maintenanceApplora tracks every app, category, keyword, review, and ranking on the Shopify App Store daily and serves it live over MCP.
Pricing
Pay per usage
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Scoutlayer
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19 days ago
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Applora is a market intelligence platform for the Shopify App Store. It crawls every app, category, keyword, review, and ranking on the store daily and turns that raw data into a structured dataset you can browse in a dashboard or query live from an AI agent over MCP. Built for Shopify app developers who want to validate a new app idea, find keyword and category whitespace, track competitors, or mine reviews for feature ideas — grounded in real, current data instead of guesswork.

What Applora tracks
Applora runs its own crawlers against the Shopify App Store around the clock and keeps the following up to date:
| Data | What's in it |
|---|---|
| Apps | Name, description, pricing tiers, rating, review count, Built for Shopify status, developer, category and keyword rankings, daily rank history |
| Categories | Every App Store category — app count, average rating, review growth, top-ranked apps with 30-day position trends |
| Keywords | App Store search terms — how many apps compete for each, who ranks, and how rankings move over time |
| Reviews | Verbatim, reviewer-written text (not an AI summary) — filterable by rating, searchable per app |
| Merchants | Shopify merchants surfaced from public App Store reviews, plus which apps they've installed |
| Rising apps | New apps (by launch date) climbing rankings fastest in a category or keyword, over 7/30/90-day windows |
That data powers the Applora dashboard — filterable app search, category and keyword opportunity finders, review breakdowns, and a rising-apps leaderboard — as well as the MCP server described below.
Connect over MCP
Applora exposes the same data as a set of MCP tools, so an AI agent (Claude, ChatGPT, Cursor, or your own) can query it directly instead of you copy-pasting App Store pages into a prompt. Add this to your MCP client's config:
{"mcpServers": {"applora": {"type": "http","url": "https://applora.ai/mcp"}}}
The first connection walks you through a standard OAuth flow (Dynamic Client Registration + an in-browser consent screen) — no API key to copy around. Once connected, an agent gets tools like:
| Tool | What it does |
|---|---|
search_apps | Search/filter apps by name, category, pricing, Built for Shopify status, rating |
get_app | Full profile for one app — rating, pricing, rankings, review trend, rating distribution |
list_categories / get_category_ranking | Every category, or ranking detail + top apps for one |
search_keywords / get_keyword_ranking | Keyword competition search, or ranking detail + top apps for one |
get_app_reviews | Paginated, verbatim reviews for an app |
search_merchants / get_merchant | Merchant search, or one merchant's profile + installed apps |
See the MCP setup guide for connecting Claude Code, Claude Desktop, ChatGPT, Cursor, or a generic .mcp.json, and the agent-skills repo for a ready-made Shopify App Store market-research skill that teaches an agent how to use these tools well (competitor teardowns, keyword opportunity finding, category whitespace, merchant complaint mining).
What you can use it for
- Validating a new app idea — find underserved categories and keyword gaps before writing a line of code.
- Growing an app you've already shipped — track competitors, keyword rankings, and review sentiment to prioritize your next release.
- Managing more than one app — keep every app, category, and keyword you care about in one place, or let your agent pull it on demand over MCP.
- Mining competitor reviews — see what merchants love, complain about, and request in apps you compete with, without reading hundreds of reviews by hand.
Get started
- Sign up — free tier included, no credit card required.
- Pricing — Pro unlocks unlimited access, CSV export, and MCP server access.
- Browse the App Store dataset without an account.