# Review Roll-up — Multi-Location Review Digest (`moganes/review-rollup`) Actor

Monitor Google reviews across many business locations in one scheduled run. One combined digest: alert levels, rating movement, and recurring complaint themes across every location, for a fraction of per-location review-management pricing.

- **URL**: https://apify.com/moganes/review-rollup.md
- **Developed by:** [Marat Oganesyan](https://apify.com/moganes) (community)
- **Categories:** Business, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% 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/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

## Review Roll-up — Multi-Location Review Digest

Monitor Google reviews across many business locations in a single scheduled run. Instead of checking each location one at a time, point this actor at a list of businesses and get back one combined digest: which locations need attention right now, how ratings are moving, and what complaint themes are showing up across the group.

### What it does

Each run:

1. Resolves every business in your list on Google Maps (by name + city, or a pasted Maps URL).
2. Checks its current reviews against the last snapshot for that location.
3. Produces one digest covering all locations — an alert-level breakdown (none / info / warning / critical), per-location rating movement, and any recurring complaint keywords showing up in new negative reviews across the group — plus the full per-location detail.

Run it on a schedule (Apify Schedules) and wire the run's output to email or Slack via Apify Integrations for hands-off multi-location monitoring.

### Input

- **businesses** (required) — a list of locations to check, each as `{ "placeQuery": "Business Name, City", "country": "gb" }`. `country` is optional; `placeQuery` also accepts a pasted Google Maps URL directly.
- **maxReviews** (optional, default 100) — how many of the newest reviews to check per location each run, unless a location overrides it.

### Output

- A markdown digest report (`digest.md` in the key-value store) — the fastest way to read what happened this run.
- A dataset with one `digest` row (the summary across all locations) plus one `location` row per business, machine-readable for your own dashboards or alerting.

### Pricing

Pay-per-event: a flat fee per digest run, plus a per-location fee only for locations that were actually checked successfully — a location that fails to resolve isn't charged. No subscription, no per-seat pricing, no minimum location count.

### Notes

- This actor is not affiliated with, endorsed by, or sponsored by Google. All data is read from Google's own publicly accessible Maps search results.
- The first run for each location records a baseline; alerts start appearing from the second run onward for that location.
- If a location can't be resolved or fetched in a given run, it's reported as an error in that location's row and the digest continues for the rest of the batch — one bad entry doesn't fail the whole run.

# Actor input Schema

## `businesses` (type: `array`):

List of business locations to check in one digest. Each entry is a Google Maps URL, or a business name + city (e.g. "Blue Fern Coffee, Manchester").

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

How many of the newest reviews to check per location each run, unless a location overrides it.

## Actor input object example

```json
{
  "businesses": [
    {
      "placeQuery": "Joe and the Juice, Manchester"
    },
    {
      "placeQuery": "Joe and the Juice, Liverpool"
    }
  ],
  "maxReviews": 100
}
```

# Actor output Schema

## `digest` (type: `string`):

No description

## `items` (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 = {
    "businesses": [
        {
            "placeQuery": "Joe and the Juice, Manchester"
        },
        {
            "placeQuery": "Joe and the Juice, Liverpool"
        }
    ]
};

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

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

```

## MCP server setup

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

```

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/bYtJjhKMKkkyysuBW/builds/bLwoRtOqX8utF9r0f/openapi.json