# Fast Google Play Reviews for ChatGPT ⚡ (`bountiful_rush/fast-google-play-reviews-for-chatgpt`) Actor

The fastest Google Play scraper on the market ⚡
The Google Play scraper only returns the grade and the comment to run faster and enable ChatGPT custom actions with a smaller payload, to deal with a large number of data.

- **URL**: https://apify.com/bountiful_rush/fast-google-play-reviews-for-chatgpt.md
- **Developed by:** [Bountiful Rush](https://apify.com/bountiful_rush) (community)
- **Categories:** AI, Automation
- **Stats:** 44 total users, 0 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 results

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## App Reviews Scraper

### Overview

The **Google Play Scraper for ChatGPT** is an Apify actor designed to scrape app reviews from the Google Play Store. It filters reviews based on the specified number of days and language, then outputs the result in JSON format. This actor is particularly useful for gathering user feedback, analyzing review trends, and monitoring app performance over time.
Its small payload make it particularly useful as a custom action for a LLM such as ChaGPT.

### Features

- Scrapes reviews from Google Play Store apps.
- Filters reviews by the specified number of days.
- Outputs results in a structured JSON format.

### Integration to ChatGPT

Watch the following video to integrate the actor with your custom GPT on ChatPGT. Also works with OpenAI platform.

<iframe width="560" height="315" src="https://www.youtube.com/embed/FOEluHAp850?si=BTWTI0sNG__h1puT" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

https://www.youtube.com/watch?v=FOEluHAp850

### Input

The actor requires the following input parameters:

- **app_url**: An array of URLs of the apps on the Google Play Store.
- **num_days**: Number of days to filter reviews (e.g., last 30 days).

#### Example Input

```json
{
    "app_urls": [
        "https://play.google.com/store/apps/details?id=com.example.app1",
        "https://play.google.com/store/apps/details?id=com.example.app2"
    ],
    "num_days": 30
}
```

### Outputs

The actor outputs a JSON object containing the filtered reviews with the following fields:

- **app_name**: The name of the app.
- **score**: The rating of the app (integer).
- **content**: The text content of the review (string).

#### Example Output

```json
[
    {
        "app_name": "Example App 1",
        "score": 5,
        "content": "Great app! Very useful."
    },
    {
        "app_name": "Example App 2",
        "score": 4,
        "content": "Good app, but needs some improvements."
    }
]

```

Intervide

# Actor input Schema

## `app_urls` (type: `array`):

The URLs of the apps on Google Play Store

## `num_days` (type: `integer`):

Number of days to filter reviews

## Actor input object example

```json
{
  "app_urls": [
    "https://play.google.com/store/apps/details?id=fr.mgen.mgen&hl=en",
    "https://play.google.com/store/apps/details?id=com.gan.sante&hl=fr"
  ],
  "num_days": 30
}
```

# 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 = {
    "app_urls": [
        "https://play.google.com/store/apps/details?id=fr.mgen.mgen&hl=en",
        "https://play.google.com/store/apps/details?id=com.gan.sante&hl=fr"
    ],
    "num_days": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("bountiful_rush/fast-google-play-reviews-for-chatgpt").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 = {
    "app_urls": [
        "https://play.google.com/store/apps/details?id=fr.mgen.mgen&hl=en",
        "https://play.google.com/store/apps/details?id=com.gan.sante&hl=fr",
    ],
    "num_days": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("bountiful_rush/fast-google-play-reviews-for-chatgpt").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 '{
  "app_urls": [
    "https://play.google.com/store/apps/details?id=fr.mgen.mgen&hl=en",
    "https://play.google.com/store/apps/details?id=com.gan.sante&hl=fr"
  ],
  "num_days": 30
}' |
apify call bountiful_rush/fast-google-play-reviews-for-chatgpt --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bountiful_rush/fast-google-play-reviews-for-chatgpt"
        }
    }
}
```

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/tQqh10h1WKMHj1Cf5/builds/i9bbX6DtySjz3SFHI/openapi.json