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ASO Keyword Rank Tracker — App Store Rankings | $3/1K | No Key | 10× Cheaper

App developers, ASO managers, and mobile growth agencies use this actor to track how their app ranks for target keywords — without a Sensor Tower subscription. Schedule weekly runs to spot ranking trends.

$3.00 per 1,000 ranked results. Track 50 keywords × 50 results = $0.75 per sweep. Weekly tracking = ~$3/month. No subscription. No API key.

Worked example:

• 10 keywords × 50 results each = 500 results → $1.50
• 50 keywords × 50 results weekly = 2,500/week → $7.50/month
• 5 keywords × 200 results (deep sweep) = 1,000 results → $3.00

10–100× cheaper than ASO platforms. Sensor Tower and AppTweak charge $99–$500/month for keyword ranking data. This actor gives you the same raw rankings for under $5 per week.

Track how apps rank in Apple App Store search results for specific keywords (ASO — App Store Optimization). Uses Apple's open iTunes Search API — no API key required. Pay per result.

Sample output

{
"keyword":"photo editor",
"position":1,
"app_id":"1225106839",
"name":"Facetune - AI Photo Editor",
"developer":"Lightricks Ltd.",
"rating":4.6,
"rating_count":413000,
"genre":"Photo & Video",
"country":"us",
"parse_confidence":1.0
}

What you get

For each keyword → a ranked list of apps showing who appears at each position:

Use cases

• ASO monitoring: track where your app ranks for target keywords
• Competitor research: see which apps dominate a keyword
• Market analysis: find what categories / developers own a search space
• Keyword discovery: see what shows up for related terms

Usage

{
"keywords":["photo editor","fitness tracker","meditation app"],
"country":"us",
"limit":50
}

FAQ

Do I need an API key or ASO platform subscription? No. This actor uses Apple's public iTunes Search API — free, no auth, no proxy.

What formats can I export? JSON, CSV, Excel, or JSONL — from the Apify dataset UI or REST API.

How do I track rank changes over time? Schedule weekly runs via Apify Scheduler. Compare datasets across runs — the position and keyword fields are stable identifiers for diff queries.

What if a keyword returns 0 results? Some ultra-niche keywords return no apps. The actor logs a warning for that keyword and continues to the next — no crash, no charge for empty keywords.

Limits

• Apple's Search API returns up to 200 results per keyword
• Supports all App Store country storefronts
• Results reflect real-time App Store search rankings

vs. ASO platforms

parse_confidence — every record carries a 0.0–1.0 data quality score. Score < 0.5 → check the warnings field.

Best practice: Schedule this actor weekly. Keyword rankings shift constantly. Use Apify Scheduler + webhook to get alerts when your app drops or rises in position.

Monitoring workflow: Run weekly, store results in Apify Dataset, compare datasets across runs to detect ranking changes. Pipe to Slack or email via Apify webhook — full change-detection pipeline with zero server-side code.

Use with AI agents (MCP)

All actors in this suite are available via the Apify MCP server. Connect to Claude, GPT-4o, or n8n to let AI agents pull live App Store data on demand — market research, competitor monitoring, and ASO tracking automated end-to-end.

MCP config: https://mcp.apify.com/?tools=bovi/aso-keyword-tracker

Also in this suite

• Apple App Store Scraper — full metadata + reviews
• Google Play Store Scraper — Android ecosystem
• App Store Charts Scraper — market surveillance, chart positions
• iOS App Update Tracker — version monitoring, change detection
• App Store Reviews Scraper — reviews-only, bulk NLP use case
• F-Droid Scraper — FOSS/privacy research

Integrations

Built for app developers and ASO agencies tracking keyword search rankings without a Sensor Tower subscription — the JSON/dataset output drops into the tools you already run, no glue code:

• n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
• Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
• MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
• API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all Apify integrations.