4 Best App Store Review APIs in 2026, Compared

The best App Store review API depends on what you actually need to do with the data after retrieving it.

If you own the app and need to reply to customers, Apple’s official API is the correct answer. If you need ASO tooling and review-management operations, AppFollow is built for that. If your team already lives inside a scraper marketplace, an Apify Actor can fit. But if you need public reviews for your app, competitors, research, monitoring, MCP agents, or an AI-to-CSV workflow, FetchLayer is the shortest path from a public listing to usable feedback.

This comparison was last checked on July 31, 2026. We build FetchLayer, so this is not a neutral review. We have included the cases where the other options are a better fit.

Quick answer: which App Store review API should you choose?

The comparison that matters: total work after “get reviews”

Many tools can return a review. That is not the outcome most teams are buying.

For product research, the work usually looks like this:

Find app → retrieve fresh reviews → keep the useful fields → analyze recurring themes → share or export the evidence

The cost is the entire chain: access setup, retrieval, storage, parsing, analysis, exports, monitoring, and the maintenance burden when an upstream workflow changes. A cheap request that still needs a scraper runtime, an export pipeline, an LLM integration, and a custom monitoring job is not necessarily the cheap option in practice.

1. FetchLayer: best for public review data that needs to become an insight

FetchLayer’s App Store Reviews API is designed for teams that want public review data without turning review collection into a separate infrastructure project.

Give it an app ID and request the country, language, platform, sort order, and page count you need. You receive structured JSON with the fields that matter for analysis: rating, title, body, author display name, version, date, helpful count, and review ID where available.

JavaScript and TypeScript developers can install the official @fetchlayer/appstore npm package instead of wiring raw HTTP. It is open source on GitHub.

The differentiator is what happens next. You can:

• Call the API from a backend, cron job, or automation.
• Use the same FetchLayer account across Reddit, X/Twitter, App Store, and YouTube data.
• Connect the endpoint to an MCP-compatible coding agent.
• Open Research Chat, ask for recurring bugs or feature requests in plain English, and download the resulting analysis as CSV or JSON.

That last route matters for founders, researchers, PMs, agencies, and “vibe coders” who need the answer now—not an SDK project. For example:

Analyze the recent one-star reviews for this competitor. Group bugs by app version, identify feature requests, and export the supporting reviews as CSV.

If your team already uses Claude, Codex, Hermes, or another MCP-compatible AI client, you do not need to switch to Research Chat. Connect FetchLayer MCP and let that agent retrieve public reviews, analyze the evidence, and produce the CSV or brief in your existing workspace. See the MCP setup.

FetchLayer does not replace Apple’s official API if you need to respond to a review, manage an owned app, or perform privileged App Store Connect actions. It is the better fit when the job is public feedback, competitor intelligence, monitoring, or an AI workflow.

Best for: product teams, researchers, agencies, founders, AI workflows, and developers who need usable public review data fast.

Try App Store review analysis in Research Chat

2. Apple App Store Connect API: best for apps you own

Apple’s Customer Reviews API is the authoritative choice for an app owner. It can retrieve customer reviews for the app in your App Store Connect account, filter by territory and rating, sort reviews, and support review-response workflows.

That official access is valuable. It is also deliberately scoped to the apps inside your account. It is not a competitor-research API.

Where Apple is stronger

• You need to respond to customer reviews.
• You need app-owner data and App Store Connect actions.
• You already have the required App Store Connect access and internal engineering ownership.

Where Apple creates friction

Apple requires an App Store Connect account, appropriate account roles, API access approval, role-based key creation, and JWT authorization. Apple’s own setup guide states that the Account Holder requests API access and that approval is handled case by case. Read the setup requirements.

There is also a scope problem that setup cannot solve: you cannot use App Store Connect credentials to investigate a competitor’s public reviews. For product discovery, category research, or a cross-platform feedback workflow, you need another source.

Direct API spend may be low if you already operate an Apple developer account. The hidden cost is engineering and access overhead—and the fact that it solves only the owned-app use case. Apple Developer Program membership is currently listed at $99 per year for the broader program. See Apple’s membership details.

Best for: owned-app operations, support teams, and native App Store Connect workflows.

3. AppFollow: best for review management and ASO operations

AppFollow’s API covers far more than raw review retrieval: review management, keyword tracking, rankings, app-update monitoring, review summaries, semantic tags, replies, and related app-growth workflows.

That breadth is a real advantage for a mature mobile-growth team that wants a dedicated operational platform. Its review endpoint supports filters such as app external ID, country, language, review text, page, and date range. AppFollow’s documentation also lists per-method API-credit costs and notes that method availability depends on the subscription. See its reviews endpoint.

Where AppFollow is stronger

• Your company needs an all-in-one mobile review-management and ASO product.
• You want workflow features such as review reply, custom status, tags, and bug-tracker updates.
• You have an established review-operations team.

Where FetchLayer is simpler

If the job is “get public reviews, analyze the feedback, and put the result in a file or agent workflow,” a broader review-management suite can be more platform than you need. FetchLayer has one retrieval model, one account across multiple public platforms, REST and MCP access, and a direct no-code analysis/export path.

Best for: ASO and mobile-growth teams that need a large review-management surface, not only data retrieval.

4. Apify App Store Reviews Scraper: best for existing Apify workflows

Apify’s App Store Reviews Scraper can be started through the Apify API as an Actor run. This is a reasonable choice if your team already uses Apify’s datasets, tasks, schedules, webhooks, and operational model.

The trade-off is not that Apify cannot collect data. It can. The trade-off is dependency and cost composition.

With a marketplace Actor, your workflow depends on both Apify’s platform and a third-party Actor publisher. Inputs, output schema, uptime expectations, and product decisions sit outside your product. That may be fine for an experiment; it is a more meaningful dependency when a core monitoring job or customer-facing feature relies on it.

The price is also not always a single request-to-result number. Apify documents platform usage such as compute, storage, proxies, data transfer, and Actor-specific pricing models. Its Store is currently moving away from fixed rental pricing: Apify says rental Actors are scheduled to be fully retired on October 1, 2026, with remaining Actors migrated to pay-per-usage. Read Apify’s migration notice.

That does not make Apify unusable. It means you should model cost at the workload level and treat each Actor as an external supplier—not assume a stable, flat subscription will remain available.

Where Apify is stronger

• You already use Apify datasets, schedules, webhooks, and SDKs.
• You want to combine many different community Actors in one platform.
• You are comfortable evaluating the specific Actor and its pricing before production use.

Where FetchLayer is simpler

FetchLayer exposes the review operation as a product API, not a marketplace run. You do not need to choose and operate a third-party Actor, wait on a dataset workflow, or separately build MCP and AI-export layers on top.

Best for: teams that are already standardized on Apify and accept Actor-level vendor dependency.

How to choose without overbuying

Choose Apple when you own the app and need official owner actions.

Choose AppFollow when you need a full mobile-growth and review-management platform.

Choose Apify when your data stack is already built around Actors and datasets.

Choose FetchLayer when the outcome is public reviews you can immediately monitor, analyze, send to an AI agent, or export—especially when the app is not yours.

Frequently asked questions

Can I use Apple’s API to get competitor App Store reviews?

No. Apple’s App Store Connect API is for the apps in your App Store Connect account. Use a public-data provider such as FetchLayer when you need competitor, category, or independent market research.

Which App Store review API is best for AI analysis?

FetchLayer is the shortest route when you want both retrieval and analysis. Use the API or MCP for programmable workflows, or use Research Chat to create a CSV/JSON analysis from a plain-English request.

Can I export App Store reviews to CSV?

Yes. FetchLayer Research Chat can create a downloadable CSV without code. For automated workflows, retrieve JSON with the API and generate your own CSV schema. See how to export App Store reviews to CSV.

Is FetchLayer affiliated with Apple?

No. FetchLayer retrieves publicly available data and is not affiliated with, endorsed by, or sponsored by Apple.

Get started

• Explore the App Store Reviews API
• Analyze App Store reviews with AI
• Build App Store review monitoring
• Export App Store reviews to CSV