# Multi-Platform Review Aggregator (`b3264/review-aggregator`) Actor

Aggregate business reviews from Google Maps, Yelp, TripAdvisor, Trustpilot, and Facebook in one run. Unified review data for reputation management.

- **URL**: https://apify.com/b3264/review-aggregator.md
- **Developed by:** [Brandon Hamm](https://apify.com/b3264) (community)
- **Categories:** Marketing
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 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/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

## Multi-Platform Review Aggregator

Aggregate business reviews from Google Maps, Yelp, TripAdvisor, Trustpilot, and Facebook in a single run. Get unified review data across all platforms for reputation management and competitive analysis.

### What It Does

1. **Searches** for your business across Google Maps, Yelp, TripAdvisor, Trustpilot, and Facebook
2. **Scrapes reviews** from each platform — rating, text, author, date, response
3. **Unifies** all reviews into a single dataset with platform source tagging
4. **Filters** by minimum rating and sorts by date

No API keys required. Uses Apify residential proxies for reliable extraction.

### Features

- One input (business name) searches across all selected platforms
- Or provide direct URLs to skip the search step
- Extracts: reviewer name, rating, review text, date, owner response, language
- Unified schema — same fields regardless of source platform
- Platform-specific data preserved (Google categories, Yelp tags, etc.)
- Filter by minimum rating
- Sort all reviews by date (newest first)
- Pagination support for deep review extraction

### Input

| Field | Type | Description |
|-------|------|-------------|
| businessName | string | Business name to search for |
| platforms | array | Which platforms to scrape (google, yelp, tripadvisor, trustpilot, facebook) |
| googlePlaceUrl | string | Direct Google Maps URL (optional, skips search) |
| yelpUrl | string | Direct Yelp URL (optional, skips search) |
| tripadvisorUrl | string | Direct TripAdvisor URL (optional, skips search) |
| trustpilotUrl | string | Direct Trustpilot URL (optional, skips search) |
| maxReviewsPerPlatform | integer | Max reviews per platform (default 50, max 500) |
| minRating | integer | Filter reviews below this rating (0 = no filter) |
| sortByDate | boolean | Sort all reviews by date newest first (default true) |

### Output

Each review contains:

| Field | Type | Description |
|-------|------|-------------|
| platform | string | Source platform (google, yelp, etc.) |
| businessName | string | Business name on that platform |
| businessUrl | string | URL of the business listing |
| overallRating | float | Overall business rating on that platform |
| totalReviews | integer | Total review count on that platform |
| reviewerName | string | Name of the reviewer |
| reviewerProfile | string | Profile URL of reviewer (if available) |
| rating | integer | Rating given in this review (1-5) |
| reviewText | string | Full review text |
| reviewDate | string | Date of the review (ISO format) |
| reviewUrl | string | Direct link to this review (if available) |
| ownerResponse | string | Business owner's response (if any) |
| ownerResponseDate | string | Date of owner response |
| language | string | Review language (if detectable) |
| helpfulCount | integer | Number of "helpful" votes |

### Use Cases

- **Reputation management agencies:** Monitor client reviews across all platforms
- **Business owners:** Track and respond to reviews in one place
- **Market research:** Compare competitor review sentiment across platforms
- **SEO firms:** Identify review patterns and opportunities
- **Customer experience teams:** Centralize feedback for analysis

### Pricing

Pay per result. Each review extracted counts as one result.

### Related Actors

- [Google Maps Lead Intelligence](https://apify.com/b3264/google-maps-lead-intelligence) - Extract enriched business leads with emails, social profiles, and lead scoring
- [Sitejabber Reviews Scraper](https://apify.com/b3264/sitejabber-reviews-scraper) - Extract business reviews and ratings from Sitejabber
- [Songkick Events Scraper](https://apify.com/b3264/songkick-events-scraper) - Scrape concert and festival listings from Songkick
- [Meetup Events Scraper](https://apify.com/b3264/meetup-events-scraper) - Extract events and groups from Meetup.com

# Actor input Schema

## `businessName` (type: `string`):

Name of the business to search for across platforms

## `platforms` (type: `array`):

Which platforms to scrape reviews from (google, yelp, tripadvisor, trustpilot, facebook)

## `googlePlaceUrl` (type: `string`):

Direct Google Maps place URL (optional — if provided, skips search)

## `yelpUrl` (type: `string`):

Direct Yelp business URL (optional — if provided, skips search)

## `tripadvisorUrl` (type: `string`):

Direct TripAdvisor business URL (optional — if provided, skips search)

## `trustpilotUrl` (type: `string`):

Direct Trustpilot review URL (optional — if provided, skips search)

## `maxReviewsPerPlatform` (type: `integer`):

Maximum reviews to extract from each platform

## `minRating` (type: `integer`):

Filter reviews below this rating (1-5, 0 = no filter)

## `sortByDate` (type: `boolean`):

Sort all reviews by date across platforms

## Actor input object example

```json
{
  "businessName": "Joe's Pizza New York",
  "platforms": [
    "google",
    "yelp",
    "tripadvisor"
  ],
  "maxReviewsPerPlatform": 50,
  "minRating": 0,
  "sortByDate": true
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("b3264/review-aggregator").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("b3264/review-aggregator").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 '{}' |
apify call b3264/review-aggregator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,b3264/review-aggregator"
        }
    }
}

```

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/EFiVLWnmMwfl3HZW8/builds/vxUe8YbYyZhAgJgza/openapi.json