App Store Keyword Rank Tracker — ASO Rankings | $2/1K
Pricing
from $1.94 / 1,000 results
App Store Keyword Rank Tracker — ASO Rankings | $2/1K
Track App Store search rankings for keywords (ASO). For each keyword, get ranked list of apps with position, name, developer, rating, and review count. Uses Apple's open iTunes Search API — no API key needed. Pay per keyword result.
Pricing
from $1.94 / 1,000 results
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Vitalii Bondarev
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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:
| Field | Description |
|---|---|
keyword | The search keyword |
position | Search rank position (1 = top result) |
app_id | Numeric Apple app ID |
bundle_id | App bundle ID (com.company.app) |
name | App name |
developer | Developer name |
rating | Average user rating |
rating_count | Total number of ratings |
price | Price (0.0 = free) |
currency | Currency code |
url | App Store URL |
icon_url | App icon URL (512px) |
genre | Primary category |
all_genres | All categories |
version | Current version |
release_date | Original release date |
update_date | Last update date |
parse_confidence | Data quality score 0.0–1.0 |
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
| Feature | This actor | Sensor Tower | AppTweak | AppFollow |
|---|---|---|---|---|
| Keyword rank positions | ✅ | ✅ | ✅ | ✅ |
| No subscription | ✅ | ❌ | ❌ | ❌ |
| Pay per keyword sweep | ✅ | ❌ | ❌ | ❌ |
| parse_confidence drift detection | ✅ | N/A | N/A | N/A |
| Monthly cost (50 kw × weekly) | ~$3 | $99–500 | $99–249 | $99+ |
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.