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App Store Keyword Finder — ASO Keyword Research Tool

Discover hundreds of App Store keywords from seed terms using Apple's autocomplete and iTunes Search APIs. The cheapest iOS keyword research tool on Apify — no monthly fee, pay only $0.10 per seed keyword.

What is App Store keyword research?

App Store Optimization (ASO) starts with finding the right keywords. This tool automates the discovery process by tapping into Apple's own search suggestions — the same autocomplete data that real users see when they type in the App Store search bar.

A single seed keyword like "weather" yields 200+ unique long-tail keywords in seconds.

How does the App Store Keyword Finder work?

Give it seed keywords and it expands them into comprehensive keyword lists using three strategies:

1. Direct autocomplete suggestions — fetches what Apple suggests when users type your keyword (~10 per query)
2. Alphabet expansion — queries "seed a", "seed b", ..., "seed z" to uncover hundreds of long-tail keywords (26 extra queries per seed)
3. Multi-depth expansion — takes top suggestions and expands them further for even more keywords

It can also:

• Fetch top-ranking apps for each keyword (name, rating, downloads, price)
• Discover trending searches — what's hot in the App Store right now
• Search 50+ country storefronts — keyword suggestions vary by region

Why choose this over alternatives?

No rental fee. No monthly commitment. Just pay for what you use.

Input parameters

Example input for iOS keyword research

{
"seedKeywords":["fitness app","weather","photo editor"],
"country":"us",
"alphabetExpansion":true,
"maxDepth":1,
"includeApps":true,
"maxAppsPerKeyword":3
}

App Store keyword results output

One dataset item per seed keyword:

{
"seedKeyword":"weather",
"country":"us",
"totalKeywordsFound":212,
"scrapedAt":"2026-02-20T22:21:32.442Z",
"suggestions":[
{"term":"weather","priority":1000,"source":"direct"},
{"term":"the weather channel","priority":900,"source":"direct"},
{"term":"weather apps with radar","priority":800,"source":"alphabet-a"},
{"term":"weather bug free","priority":900,"source":"alphabet-b"},
{"term":"weather forecast","priority":900,"source":"alphabet-f"}
],
"topApps":[
{
"keyword":"weather",
"trackId":1069513131,
"trackName":"Weather",
"artistName":"Apple",
"averageUserRating":4.82,
"userRatingCount":1609301,
"price":0,
"bundleId":"com.apple.weather",
"primaryGenreName":"Weather"
}
]
}

Output fields explained

Supported App Store countries

50+ regions including: US, GB, CA, AU, DE, FR, JP, CN, KR, BR, MX, ES, IT, NL, SE, NO, DK, FI, PT, RU, IN, ID, TH, SG, HK, TW, PH, MY, TR, SA, AE, PL, AT, CH, BE, IE, NZ, ZA, IL, AR, CL, CO, PE, VE, EG, NG, KE, UA, CZ, HU, RO, VN.

Keyword suggestions vary significantly by country — run the same seed in different regions to discover localized keyword opportunities.

Use cases for App Store keyword discovery

• ASO (App Store Optimization) — find long-tail keywords your competitors are missing
• Market research — understand what users search for in your app category
• Competitor analysis — discover which keywords top apps rank for
• Content strategy — use keyword trends to inform app descriptions and metadata
• New app ideas — find underserved niches by exploring keyword gaps

Tips for best results

• Alphabet expansion is the key feature — it turns ~10 suggestions into 200+ by querying "seed a" through "seed z"
• Depth 2 is powerful but slower — it expands the top 10 suggestions from depth 1, multiplying your results
• Proxies are usually not needed — Apple's APIs are public and lenient
• Keep delay at 500ms+ — this keeps you well within Apple's rate limits
• Try different countries — keyword suggestions vary significantly by region, revealing local opportunities

How much does it cost?

$0.10 per seed keyword processed. That's it — no monthly rental, no subscription.

Each seed keyword returns all suggestions (200+ with alphabet expansion), top app data, and trending searches — all included in the $0.10 charge.

Plus standard Apify platform compute costs (typically a few cents per run).