Audience Radar: App Review & Comment Insights

Turn what real users write about a topic into a research brief you can act on. Audience Radar reads App Store reviews, Google Play reviews and YouTube comments for any topic, then uses AI to pull out:

• Pain points: what frustrates people, with a severity score and mention count.
• Frequently asked questions: what people want to know, with intent and urgency.
• Objections: why people hesitate, cancel or leave a 1-star review.
• Exact wording: phrases copied word for word, ready for ads, landing pages and App Store copy.
• Strategy recommendation: opportunities, answers to the top objections, and copy lines built on the audience's own words.

Every insight links back to the review or comment it came from, so you can check it yourself.

Who it is for

• App founders and product managers checking a niche before building.
• ASO and growth teams looking for keywords and copy that match how users talk.
• Marketers and content teams who need real questions to answer.

How to use it

1. Type a topic, for example sleep meditation, habit tracker or budget app.
2. Pick your sources and country.
3. Click Start. A default run reads 5 apps per store and analyses up to 120 reviews per platform.
4. Open the Insights table in the Output tab, or download it as CSV, Excel or JSON.
5. Open STRATEGY.html in the key-value store for the strategy report.

Already have reviews? Analyse your own data

Put the ID of any Apify dataset in Analyse your own dataset, for example the output of another review or comment scraper. Audience Radar skips collection and only runs the analysis. It finds the text field automatically (text, review, content, body, comment…), or you can name it.

Input example

{
  "topic": "sleep meditation",
  "sources": ["app_store", "google_play"],
  "country": "us",
  "outputLanguage": "English",
  "maxAppsPerSource": 5,
  "reviewsPerApp": 50,
  "maxReviewsPerPlatform": 120,
  "includeStrategy": true
}

Output example

One row per insight:

{
  "type": "pain_point",
  "insight": "Subscription feels too expensive",
  "detail": "Users like the content but cancel when the trial converts to a yearly plan.",
  "category": "",
  "score": 85,
  "frequency": 12,
  "platform": "app_store",
  "platformLabel": "App Store",
  "evidenceQuote": "Love the sleep stories but $69 a year is way too expensive…",
  "evidenceUrl": "https://apps.apple.com/us/app/id571800810?see-all=reviews",
  "evidenceSource": "Calm",
  "evidenceRating": 2,
  "topic": "sleep meditation",
  "language": "English"
}

type is one of pain_point, question, objection, phrase. The run summary (OUTPUT in the key-value store) lists the apps and videos read, counts per platform, and any source that failed.

Pricing

You pay per event:

Event	When it is charged
Review analysed	Each review or comment sent to the AI
Strategy report	Each strategy recommendation written

Set a maximum charge per run and the Actor analyses only as many reviews as your limit allows. Reviews that fail analysis are not charged.

Data sources and limits

• App Store: Apple's public search and customer-review feeds. Apple returns about 500 recent reviews per app and country at most.
• Google Play: public Google Play pages via the open-source google-play-scraper library. If Google changes its pages, this source can fail; the run continues with the other sources.
• YouTube: YouTube Data API v3 with your own free API key. A key has a daily quota of 10,000 units, enough for roughly 80 runs.
• Insights are generated by AI from the collected text. Check the linked evidence before making important decisions.

Privacy

The Actor only reads public reviews and comments. Collected text is used only to produce your report and is not used to train AI models.