AI Chatbot ASO Keyword Tracker — App Store Rankings | $3/1K | No Key

AI-app publishers and ASO/App Store optimization agencies use this actor to track how their app ranks for target keywords, monitoring ranking volatility in the fast-moving AI-assistant app category — 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.

Usage (Input Example)

Note: These are generic, verifiable App Store search terms targeting the AI-chatbot category, not invented app names or IDs.

{
  "keywords": ["ai chatbot", "ai assistant", "chat with ai", "ai writing assistant"],
  "country": "us",
  "limit": 50
}

---

What you get (Output Schema)

For each keyword → a ranked list of apps showing who appears at each position. To maintain accuracy and avoid fabricating app names, IDs, rankings, or ratings, we provide a schema-level explanation below instead of fabricated search results:

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 AI chatbot and assistant keywords
• Competitor research: see which AI apps dominate a keyword
• Market analysis: find what categories / developers own a search space within the AI category
• Keyword discovery: see what shows up for related terms

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, particularly for AI-assistants. 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/ai-chatbot-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 AI-app publishers 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.

More scrapers from our toolkit

Building a data pipeline? These actors pair well with this one — each runs on your own Apify account with the same pay-per-result pricing, no subscription:

• Google Play Scraper
• Google Search (SERP) Scraper
• Similarweb Traffic Scraper
• App Store Scraper
• App Update Tracker
• Appstore Charts

Chain any of them together from the Integrations tab (the Run succeeded trigger) to build a multi-step workflow — one actor's output feeds the next.