# AI Chatbot ASO Keyword Tracker — App Store Rankings | $3/1K (`s7_studio/ai-chatbot-aso-keyword-tracker`) Actor

Track App Store search rankings for the AI-chatbot keyword cluster — "ai chatbot", "ai assistant", "chat with ai" — via Apple's open iTunes Search API, no key required. Returns ranked apps with position, name, developer, rating. Built for AI-app publishers and ASO agencies.

- **URL**: https://apify.com/s7\_studio/ai-chatbot-aso-keyword-tracker.md
- **Developed by:** [S7 Studio](https://apify.com/s7_studio) (community)
- **Categories:** SEO tools, Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 ai chatbot aso keyword tracker — app store rankings | $3/1ks

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 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.*

```json
{
  "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](https://docs.apify.com/platform/integrations/n8n), [Make](https://docs.apify.com/platform/integrations/make), [Zapier](https://docs.apify.com/platform/integrations/zapier).
- **Webhooks** — fire your own endpoint the moment a run finishes, to push results straight into your pipeline ([docs](https://docs.apify.com/platform/integrations/webhooks)).
- **MCP server** — expose this actor as a tool to Claude, Cursor, or any [MCP client](https://mcp.apify.com) so an AI agent can pull this data mid-conversation ([guide](https://blog.apify.com/how-to-use-mcp/)).
- **API & SDKs** — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all [Apify integrations](https://apify.com/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](https://apify.com/bovi/google-play-scraper)
- [Google Search (SERP) Scraper](https://apify.com/bovi/google-serp-structural)
- [Similarweb Traffic Scraper](https://apify.com/bovi/similarweb-scraper)
- [App Store Scraper](https://apify.com/bovi/app-store-scraper)
- [App Update Tracker](https://apify.com/bovi/app-update-tracker)
- [Appstore Charts](https://apify.com/bovi/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.

# Actor input Schema

## `keywords` (type: `array`):

List of search keywords to track rankings for. Each keyword produces a ranked list of apps. Example: \["photo editor", "fitness tracker", "meditation app"].

## `country` (type: `string`):

Two-letter ISO country code for the App Store storefront (e.g. us, gb, de, jp). Default: us.

## `limit` (type: `integer`):

How many app results to return per keyword (max 200 per Apple API). Default: 50.

## Actor input object example

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

# Actor output Schema

## `results` (type: `string`):

Dataset containing keyword ranking records (keyword, position, app\_id, bundle\_id, name, developer, rating, rating\_count, price, currency, url, icon\_url, genre, country, etc.)

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "ai chatbot",
        "ai assistant",
        "chat with ai",
        "ai writing assistant"
    ],
    "country": "us",
    "limit": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("s7_studio/ai-chatbot-aso-keyword-tracker").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": [
        "ai chatbot",
        "ai assistant",
        "chat with ai",
        "ai writing assistant",
    ],
    "country": "us",
    "limit": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("s7_studio/ai-chatbot-aso-keyword-tracker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "ai chatbot",
    "ai assistant",
    "chat with ai",
    "ai writing assistant"
  ],
  "country": "us",
  "limit": 50
}' |
apify call s7_studio/ai-chatbot-aso-keyword-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,s7_studio/ai-chatbot-aso-keyword-tracker"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jFdzm8b5eyidYdBwG/builds/KyXi4bkbyg0dIlL8Z/openapi.json