fetchlayer.dev Sign in Know what your App Store reviews are saying.
Use the FetchLayer App Store Reviews API as the source for an alerting or monitoring workflow. Poll public feedback on your schedule, store what you retrieve, and bring new complaints or praise to the right team.
The workflow
Go from scattered feedback to a clear next step.
FetchLayer gives you the public data in a predictable shape. Your code, automation, or AI agent can turn it into an ongoing source of customer insight.
- 01
Choose the apps and markets
Start with your app, important countries, and a small competitor set where a change in feedback would matter.
- 02
Poll public review pages
Run FetchLayer on an interval that matches your needs. Fetch recent pages and retain the review records in your own system.
- 03
Route the changes
Filter for new low ratings, a sudden cluster of similar complaints, or notable praise, then notify product, support, or research.
What to surface
Raw feedback becomes useful when it is specific.
Low-rating feedback
Flag one- and two-star reviews for prompt investigation without losing the full context of the customer’s message.
Release regressions
Watch review text and versions after a rollout to find reports of breakage that deserve a closer look.
Competitor movement
Keep a lightweight view of the public complaints and praise appearing around competing apps.
Your own alerts
Send review changes into Slack, email, a ticketing system, or any workflow your team already owns.
Country-specific changes
Monitor feedback in markets that matter instead of relying only on one storefront’s review stream.
A reusable history
Keep the review data in your own warehouse or database for analysis beyond a single alert.
AI-ready input
Give your agent the raw feedback and a useful question.
Use FetchLayer through REST or MCP. The important part is keeping the original feedback alongside the summary so your team can inspect the evidence behind every conclusion.
Review the new App Store feedback collected this week. Which complaints are new, which issues are growing, and which reviews should the support team read first?
The new complaint cluster is login failures after the latest release. Route the cited one-star reviews to support, then compare the affected version against prior releases before escalating to engineering.
Pricing
Start free. Pay for what you use, or lock in a flat rate.
Credits for flexible, no-commitment usage. Subscriptions for a fixed monthly rate with built-in savings. Subscriptions+ for teams that want volume pricing at scale.
Free plan
30 free requests
A small test drive to verify the API, inspect real responses, and decide whether you want to stay on credits or move to a subscription.
Pay as you go
$1.99 per 1,000 requests
$0.00199 per request
How credits are counted
One credit = one request. No matter how many results come back — replies, comments, search pages — you pay for the call, not the output size.
Your first successful payment unlocks unlimited API keys on the account, including pay-as-you-go credits.
- No monthly commitment — buy only what you need
- Credits never expire — they stay until you use them
- Same API, same MCP access, same data quality
- ∞ req/min
Credits never expire
Buy once, use whenever. There's no monthly reset, no pressure to hit a quota, no wasted credits at the end of a billing cycle.
No strings attached
No subscription to cancel, no seat minimums, no contract to negotiate. Start, pause, or scale whenever you want.
Full access from credit one
Every endpoint, MCP included, is available on credits. You're not on a limited tier — you get the same data as any subscriber.
FAQ
Common questions.
Is FetchLayer a hosted App Store alerting tool?
FetchLayer is the API layer. Call it on your own schedule from a cron job, automation, or application, then send alerts to the tools your team uses.
Can I monitor a competitor app?
Yes. Fetch public reviews for competitor apps by app ID and keep your own history of the feedback you want to monitor.
What should a monitoring workflow store?
Store the review ID, rating, review text, version, date, locale, and the time your workflow retrieved it. That makes it possible to identify new feedback and review changes over time.
Start with the public feedback.
Retrieve the source data, keep the evidence, and build the feedback workflow your team actually needs.