# AI Review Insight - Google Reviews To Action Plan (`sprightly_blackberry/ai-review-insight`) Actor

- **URL**: https://apify.com/sprightly\_blackberry/ai-review-insight.md
- **Developed by:** [ming zou](https://apify.com/sprightly_blackberry) (community)
- **Categories:** AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.35 / insight report generated

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

## AI Review Insight - Google Reviews To Action Plan

Turn a business's Google reviews into a prioritized action plan.

### What it does

- Finds one Google Maps business from a plain search query
- Scrapes its recent reviews
- Uses an LLM to identify recurring positive and negative themes
- Returns a structured action plan with quick wins, structural fixes, and representative customer quotes

### Input

| Field | Type | Description |
|---|---|---|
| `searchQuery` | string | Business name plus city or area |
| `maxReviews` | integer | Number of recent reviews to analyze |
| `language` | string | Language code for review scraping |
| `outputLanguage` | string | Language for the generated report |
| `businessGoal` | string | Optional focus for the analysis |

### Output

One report per run:

```json
{
  "businessName": "Example Cafe",
  "searchQuery": "Example Cafe Brooklyn",
  "reviewCount": 100,
  "averageRating": 4.2,
  "positiveThemes": [],
  "negativeThemes": [],
  "quickWins": [],
  "structuralFixes": [],
  "customerQuotes": [],
  "generatedAt": "2026-09-17T00:00:00Z"
}
```

# Actor input Schema

## `searchQuery` (type: `string`):

Business name plus city or area, e.g. 'Blue Bottle Coffee Brooklyn'

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

Number of recent Google reviews to analyze

## `language` (type: `string`):

Language code for Google review scraping

## `outputLanguage` (type: `string`):

Language for the final report

## `businessGoal` (type: `string`):

Optional focus, e.g. 'increase repeat visits' or 'reduce service complaints'

## Actor input object example

```json
{
  "searchQuery": "Blue Bottle Coffee Brooklyn",
  "maxReviews": 100,
  "language": "en",
  "outputLanguage": "English",
  "businessGoal": ""
}
```

# Actor output Schema

## `report` (type: `string`):

Prioritized themes, root causes, and next actions derived from customer reviews.

# 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 = {
    "searchQuery": "Blue Bottle Coffee Brooklyn"
};

// Run the Actor and wait for it to finish
const run = await client.actor("sprightly_blackberry/ai-review-insight").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 = { "searchQuery": "Blue Bottle Coffee Brooklyn" }

# Run the Actor and wait for it to finish
run = client.actor("sprightly_blackberry/ai-review-insight").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 '{
  "searchQuery": "Blue Bottle Coffee Brooklyn"
}' |
apify call sprightly_blackberry/ai-review-insight --silent --output-dataset

```

## MCP server setup

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

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/uFTd8jDhyv6TgMlrg/builds/3LdjNrWflMqQkZ230/openapi.json