# Review Insights — Google Review Analyzer (`moganes/review-insights`) Actor

Turn any business's Google reviews into a customer-intelligence report: what customers praise, the themes driving bad ratings, and real complaints quoted verbatim. Works on your business or a competitor's. Markdown report plus structured JSON. No Google API key.

- **URL**: https://apify.com/moganes/review-insights.md
- **Developed by:** [Marat Oganesyan](https://apify.com/moganes) (community)
- **Categories:** Business, Marketing
- **Stats:** 2 total users, 1 monthly users, 80.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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/platform/actors/running/actors-in-store#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

## 📊 Review Insights — Google Review Analyzer

**Turn any business's Google reviews into a clear customer-intelligence report in about a minute.** Type a business name — get back what customers praise, what drives bad ratings, and the complaints in customers' own words.

No Google API key. No setup. Live data, every run.

### What you get

Every run produces three outputs:

1. **`report.md`** — a shareable report: rating stats, sentiment split, praised themes, complaint drivers, and verbatim complaint quotes
2. **Structured JSON** (dataset) — the same analysis as machine-readable data for your own dashboards or pipelines
3. **`reviews.json`** — the analyzed reviews themselves (rating, text, date, author)

#### Sample output

> **JOE & THE JUICE — 60 reviews analyzed · average rating 3.37**
> 53% positive · 37% negative
>
> **What customers praise:** coffee · friendly staff · amazing service
> **What drives bad ratings:** slow service · wrong order · waiting time
>
> *"…I was there for a total of 16 minutes… I only get 30 minute lunch breaks…"*

### Who uses this

- **Agencies & local-SEO consultants** — attach a review report to every client audit
- **Business owners** — know exactly what to fix before it costs more stars
- **Competitive analysis** — run it on competitors to find their weak spots
- **Buyers doing due diligence** — understand a business's real reputation before acquiring

### Input

| Field | Description |
| --- | --- |
| **Business** | Name + city (e.g. `Blue Fern Coffee, Manchester`) or a Google Maps URL |
| **Max reviews** | How many reviews to analyze (10–5000, default 300) |
| **Review order** | Newest first (default), most relevant, highest or lowest rated |

### FAQ

**Where does the data come from?** Publicly visible Google Maps reviews, fetched live at run time — never cached or stale.

**Is this affiliated with Google?** No. This tool analyzes publicly available review data and is not endorsed by or affiliated with Google.

**How fresh are the results?** Fetched at the moment you run it.

**What's on the roadmap?** AI-written executive summaries and fix-first recommendations, competitor comparison mode, and scheduled monitoring (run weekly, get the delta).

**Something broke or missing a feature?** Open an issue on the Issues tab — it's monitored daily and fixes usually ship within a day.

# Actor input Schema

## `placeQuery` (type: `string`):

Google Maps URL of the business, or its name and city (e.g. "Blue Fern Coffee, Manchester").

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

Upper limit of reviews fetched and analyzed.

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

2-letter country code to pin the search region when the business name is ambiguous, e.g. "gb", "us", "de".

## `sort` (type: `string`):

Which reviews to fetch first when the business has more than the limit.

## `mock` (type: `boolean`):

Run on bundled sample reviews instead of live data.

## Actor input object example

```json
{
  "placeQuery": "Joe and the Juice, Manchester",
  "maxReviews": 300,
  "sort": "newest",
  "mock": false
}
```

# Actor output Schema

## `analysis` (type: `string`):

No description

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

No description

## `reviews` (type: `string`):

No description

# 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 = {
    "placeQuery": "Joe and the Juice, Manchester"
};

// Run the Actor and wait for it to finish
const run = await client.actor("moganes/review-insights").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 = { "placeQuery": "Joe and the Juice, Manchester" }

# Run the Actor and wait for it to finish
run = client.actor("moganes/review-insights").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 '{
  "placeQuery": "Joe and the Juice, Manchester"
}' |
apify call moganes/review-insights --silent --output-dataset

```

## MCP server setup

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

```

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/noOgkIh05M8rLMhDS/builds/5HCfCVoz2kZyvieoc/openapi.json