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n8n-nodes-apple-app-store-api

v0.1.1

Published

n8n community node for the Apple App Store: get reviews, search results, and app details as JSON across 50+ country stores. Apify-backed, pay-per-use.

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Links

Git

Maintainers

johnvcjohnvc

Keywords

n8n-community-node-packagen8nappleapp-storeapp-store-reviewsiosmacosreviewsratingsasoapp-searchapp-metadataapifysentimentai-tool

Readme

n8n-nodes-apple-app-store-api

Apple App Store reviews for n8n. Any app, any country, JSON output, pay-per-review.

The only n8n node that works on apps you don't own. It wraps three Apify-backed APIs behind one node and one credential, so you can pull reviews, search the store, and fetch full app details without an App Store Connect account.

  • Get Reviews for any iOS or macOS app, by name or by Apple ID.
  • Search Apps by keyword across 50+ country stores and 45 languages.
  • Get App Details (full product page: developer, pricing, ratings, screenshots, version history, and more).

iOS and macOS. 50+ country stores. Sort by recent, helpful, favorable, or critical. Auto-resolve apps by name, so your agent doesn't need to know the Apple ID. Cleanest review JSON in n8n: ISO-normalized dates and parsed helpfulness counts out of the box.

Built for AI agent workflows. Pass an app name, get clean reviews back, hand to Claude.

Installation

  1. In n8n, open Settings > Community Nodes.
  2. Select Install.
  3. Enter n8n-nodes-apple-app-store-api and confirm.

n8n Cloud installs verified community nodes the same way. The node also works as an AI Agent tool.

Credentials

The node calls the Apify API, so you need a free Apify account and an API token.

  1. Sign in to Apify and open Settings > Integrations to copy your API token.
  2. In n8n, create a new Apify API credential and paste the token.
  3. n8n Cloud users can connect with Apify OAuth2 instead of a token.

You are not connecting to App Store Connect. This node reads public App Store data through Apify and never touches your developer account.

Operations

Review: Get Many

Retrieve reviews for one or more apps.

  • App Name: a free-form name (for example spotify) that auto-resolves to the top match. Convenient for agents.
  • Apple Product IDs: one or more numeric App Store IDs for exact targeting. Each ID appears in the App Store URL.
  • Country Store, Sort Order (most recent, most helpful, most favorable, most critical), Maximum Reviews per App, Start Page, Include macOS Apps, Normalize Review Dates to ISO, Parse Helpfulness Counts.

Provide an App Name or at least one Product ID. Sort applies to iOS only; macOS always returns most recent.

App: Search

Search the App Store by keyword.

  • Search Term (required), Country Store, Language, Results Per Page (1 to 200), Maximum Pages, Device Class, Search Scope (app name or developer name), Category ID, Filter Explicit Apps.

App: Get

Fetch the full product page for one or more apps.

  • App Store IDs or URLs (required): numeric IDs or full App Store URLs (the ID is parsed automatically).
  • Country Store, Include Sample Reviews, Include Related App Lists.

Output modes

Every operation has an Output option with three modes:

  • Simplified (default): a compact, AI-friendly subset of the most useful fields. The default when the node is used as an AI tool, to keep an agent's context small.
  • Raw: every field the API returns.
  • Selected Fields: pick exactly which fields to return. For reviews, product_id and review_date_iso are always included as dedupe keys; for search and app details, app_id is always included.

Simplified review fields

| Field | Description | |---|---| | rating | Star rating, 1 to 5 | | title | Review title | | text | Review body | | author | Reviewer name | | version | App version reviewed | | review_date_iso | Review date, ISO 8601 | | country | Country store | | product_id | Apple product ID |

Raw reviews add helpfulness counts, author ID, platform, page numbers, and timestamps. Search and app-details results return the full app metadata documented on each Apify Actor page (linked below).

Example workflows

Triage low-star reviews to Slack. Schedule Trigger, then Apple App Store > Review > Get Many (your app, sort Most Critical), then an IF node on rating <= 2, then Slack. This is an on-demand fetcher, not a push stream, so pair it with the Schedule Trigger for monitoring.

Competitor research for an agent. App > Search for a keyword, then App > Get on the top result's app_id, then Review > Get Many for the same app, then hand the JSON to a Claude or OpenAI node. Use Simplified output to keep the context small.

Draft review replies in your brand voice. Review > Get Many, then a Claude node that drafts a personalized reply per review, then a human-approval step before posting. Sentiment and reply drafting happen in your downstream AI nodes; this node returns raw reviews only.

Pricing

Pay only for what you fetch. No subscription.

| Operation | Setup fee per run | Per result | |---|---|---| | Get Reviews | $0.02 | $0.0015 per review | | Search Apps | $0.02 | $0.0015 per app | | Get App Details | $0.02 | $0.02 per app |

$0.0015 per review. About $1.50 per 1,000 reviews. No subscription. One $0.02 setup fee per run, plus $0.0015 per review.

AppFigures starts at $79/month. AppFollow Pro starts at about $300/month. This node costs about $1.50 per 1,000 reviews with no minimums.

Notes

  • This node returns raw reviews and app data. It does not classify sentiment; run sentiment analysis downstream (Claude, GPT, or classical NLP).
  • It is an on-demand fetcher, not a webhook stream. For monitoring, pair it with the Schedule Trigger.
  • You decide your own use of the data. This project makes no legal or terms-of-service claims.

Backed by these Apify APIs

Resources

Want to try the AI workflows above? New to Claude? You can start a free trial with this referral: https://claude.ai/referral/uIlpa7nPLg

License

MIT