Turn App Store reviews into product decisions.
Retrieve public app reviews as structured JSON, then use your own code or AI agent to identify what users praise, what is breaking, and what they ask for next. Keep the underlying review evidence behind every insight.
Trusted by developers shipping real products.
4,040,760 served today
The workflow
From review noise to a fixable bug list.
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
Collect the right review set
Fetch the public reviews for your app or a competitor, with the country, language, platform, sorting, and pages relevant to the question.
- 02
Preserve the review evidence
Store rating, review text, app version, date, and source fields so a theme can always be checked against the original feedback.
- 03
Ask a focused question
Use an LLM or your own analysis to group themes, find changes after a release, and turn the highest-signal feedback into a prioritized brief.
What to surface
The difference between a rating and a root cause.
Bugs and regressions
Find the issues users mention most often and connect them to the app version where the complaint appears.
Feature requests
Separate explicit requests from general dissatisfaction and identify the product capabilities customers describe repeatedly.
Competitor gaps
Read public competitor feedback to find pain points that your product can solve or avoid.
Regional differences
Compare feedback across countries and languages instead of treating every market as one undifferentiated review pool.
What users value
Use positive reviews to identify differentiators, wording, and outcomes that customers already care about.
Release feedback
Track newly retrieved reviews around a release to spot whether a new change is helping or creating friction.
AI-ready input
Let your agent read reviews the way a PM would.
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.
Read these App Store reviews. Group the feedback into bugs, feature requests, and pricing objections. For each theme, show the review count, representative quotes, and the app versions mentioned.
The highest-confidence issue is failed background sync after version 4.2. The strongest feature request is offline access. Keep the cited reviews in the output so product can verify every conclusion.
Start free. Scale when ready.
Try it free, buy credits as you go, or take a monthly plan when your volume is steady.
Free
$0
30 requests
Enough to call the platforms you care about and read real responses before you pay anything.
- Every platform and endpoint
- REST and MCP
- No credit card
Pay as you go
$1.99
per 1,000
Buy credits when you need them. They stay on your account until you use them.
- Credits never expire
- No monthly commitment
- Same access as subscribers
- ∞ req/min, ∞ API keys
Monthly plan
Starter$25
per month
15,000 requests a month, about 500 a day.
$1.67 per 1,000, $5 less than credits each month
- ∞ req/min, ∞ API keys
1 page fetched is 1 credit
A normal call reads one page. Ask for more pages and each one is one more credit.
The same on every platform
No multiplier for harder targets, and no charge per result returned.
Nothing back, nothing billed
If a request does not return usable data, it costs 0 credits.
Not sure which volume fits?
15 minutes with the founder. Tell us the workload, we tell you what it needs.
Guaranteed throughput on the platform you run on
A dedicated platform from $400/mo, plus $500 for each ~21 req/s. Every other platform on the same key. 99.95% uptime, 24-hour support on Slack or Telegram.
FAQ
Common questions.
Does FetchLayer perform sentiment analysis itself?
FetchLayer retrieves structured public App Store review data. You can analyze it with your own code, analytics stack, or an LLM through REST or MCP.
What can I identify from app reviews?
Common workflows identify recurring bugs, feature requests, product friction, pricing objections, positive differentiators, and differences between app versions or countries.
Can I analyze competitor feedback?
Yes. Public App Store reviews are a valuable source for competitor research, product discovery, and understanding the pain points users already articulate.
Start with the public feedback.
Retrieve the source data, keep the evidence, and build the feedback workflow your team actually needs.