# AppKittie Reviews (`appkittie/appkittie-reviews`) Actor

Fetch App Store or Google Play reviews for one app through the AppKittie API.

- **URL**: https://apify.com/appkittie/appkittie-reviews.md
- **Developed by:** [Appkittie Support](https://apify.com/appkittie) (community)
- **Categories:** Integrations, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## AppKittie Reviews

Fetch recent user reviews for one App Store or Google Play app.

This Actor is useful for voice-of-customer research, competitor review mining, pain point discovery, app quality monitoring, and feeding review samples into downstream analysis workflows.

### What Can This Actor Do?

- Fetch reviews for one Apple App Store or Google Play app.
- Accept an AppKittie slug, numeric App Store ID, Google Play package name, App Store URL, or Google Play URL.
- Return review rating, title, body, reviewer nickname, date, and country.
- Page through reviews using `offset` and `nextOffset`.

### Common Use Cases

- Mine competitor reviews for feature requests and pain points.
- Collect review examples for positioning and copywriting.
- Monitor recent reviews after a launch or app update.
- Build lightweight sentiment or topic-analysis pipelines.
- Compare review language across countries and stores.

### Input

Required:

- `appId` - App identifier, package name, or store URL.

Optional:

- `source` - `apple_mobile` or `google_mobile`. If omitted, AppKittie infers it from the app.
- `country` - ISO 3166-1 alpha-2 storefront country code. Defaults to `US`.
- `maxReviews` - Number of reviews to return. Capped at 10.
- `offset` - Pagination offset. Use `nextOffset` from the previous run.

### Example

```json
{
  "appId": "https://apps.apple.com/us/app/instagram/id389801252",
  "source": "apple_mobile",
  "country": "US",
  "maxReviews": 10,
  "offset": 0
}
```

### Output

The Actor writes one typed JSON record to the default key-value store under `OUTPUT`. It does not write dataset rows.

```json
{
  "data": {
    "appId": 389801252,
    "source": "apple_mobile",
    "country": "us",
    "reviews": [
      {
        "id": "1234567890",
        "rating": 4,
        "title": "Helpful app",
        "body": "I use it every day.",
        "reviewerNickname": "example_user",
        "date": "2026-01-01",
        "country": "us"
      }
    ],
    "nextOffset": 10,
    "totalFetched": 10
  }
}
```

### Limits and Pagination

Runs are capped at 10 returned reviews. Use `data.nextOffset` as the next run's `offset` to continue paging.

### Notes

- No proxy configuration is required.
- No AppKittie API key is required in Actor input. The Actor uses AppKittie's managed API connection internally.
- Reviews are returned as available from the selected store and country.

# Actor input Schema

## `appId` (type: `string`):

AppKittie app slug, numeric App Store ID, Google Play package name, or store URL.

## `source` (type: `string`):

Store source. If omitted, AppKittie infers it from the app ID.

## `storeSource` (type: `string`):

Backwards-compatible alias for source.

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

ISO 3166-1 alpha-2 storefront country code.

## `maxReviews` (type: `integer`):

Maximum number of reviews to return in this request. Actor runs are capped at 10 returned reviews.

## `offset` (type: `integer`):

Pagination offset. Use nextOffset from the previous response.

## Actor input object example

```json
{
  "appId": "284882215",
  "country": "US",
  "maxReviews": 10,
  "offset": 0
}
```

# Actor output Schema

## `result` (type: `string`):

Direct JSON response from POST /api/v1/reviews. The OUTPUT record is typed by key\_value\_store\_schema.json.

# 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 = {
    "appId": "284882215"
};

// Run the Actor and wait for it to finish
const run = await client.actor("appkittie/appkittie-reviews").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 = { "appId": "284882215" }

# Run the Actor and wait for it to finish
run = client.actor("appkittie/appkittie-reviews").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 '{
  "appId": "284882215"
}' |
apify call appkittie/appkittie-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,appkittie/appkittie-reviews"
        }
    }
}

```

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/CpMEhabvt826CbfbY/builds/xjcNbvMLopcsJdhtg/openapi.json