# Google Reviews Scraper (`datablow/google-reviews-scraper`) Actor

Scrapes Google Maps reviews for any location. Provide a Google Maps URL and a reviews limit to extract full review details — reviewer name, rating, date, text, photos, owner replies, and more. Built with Camoufox stealthy Firefox for robust, bot-resistant scraping.

- **URL**: https://apify.com/datablow/google-reviews-scraper.md
- **Developed by:** [datablow](https://apify.com/datablow) (community)
- **Categories:** Automation, Social media, SEO tools
- **Features:** Limited permissions
- **Stats:** 282 total users, 11 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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

## 🌟 Google Reviews Scraper (Production-Ready)

Extract **high-quality Google Maps reviews** in a structured format — perfect for sentiment analysis, competitor research, or building local business dashboards.

***

### 🚀 Key Features

- **⚡ High Performance**: Multi-threaded scraping with configurable concurrency.
- **🕵️ Ultra-Stealth**: Powered by optimized Playwright Chromium, stealth browser fingerprinting, and residential proxies to bypass detection.
- **📍 Dual Input**: Provide direct Google Maps URLs or just search names (e.g., "Eiffel Tower").
- **📊 Rich Metadata**: Extracts name, rating, text, photos, owner replies, and publication date.
- **🔁 Advanced Sorting**: Sort by Newest, Highest, Lowest, or Relevant.
- **🌐 Global Support**: Force specific languages to translate reviews on-the-fly.

***

### ⚙️ How to Use

1. **Enter Locations**: Provide a list of Google Maps URLs or search queries.
2. **Set Limits**: Choose how many reviews you need (`Max Reviews`).
3. **Choose Sorting**: Select your preferred sort order (e.g., `Newest`).
4. **Run & Export**: Get your data in CSV, JSON, or Excel via the Apify Dataset.

***

### 📊 Output Schema

Every review includes:

| Field             | Description                               |
| :---------------- | :---------------------------------------- |
| `placeName`       | Name of the business/location             |
| `reviewerName`    | Display name of the reviewer              |
| `rating`          | Star rating (1-5)                         |
| `reviewText`      | Full content of the review                |
| `publishedAt`     | Relative date (e.g., "2 months ago")      |
| `reviewPhotoUrls` | Array of full-resolution image links      |
| `ownerResponse`   | Official reply from the business (if any) |
| `placeUrl`        | Original Google Maps link                 |

***

### 💡 Pro Tips

- **Max Reviews**: Set to `0` to scrape every single review available for a location.
- **Concurrency**: Keep between `3-5` for optimal stability on most proxies.
- **Language**: Use ISO codes (e.g., `es` for Spanish) to get localized content.

***

### 📌 Summary

Stop manual copy-pasting. Turn raw Google Maps data into:

> **Insights → AI Models → Business Value**

Built for **Data Scientists, Marketers, and Business Analysts.**

# Actor input Schema

## `locationNames` (type: `array`):

List of names to search for (e.g., 'Taj Mahal'). Each will resolve to a place and be scraped.

## `maxConcurrency` (type: `integer`):

How many browsers to run in parallel. Default is 5. Increase for speed, but note that higher values increase memory usage and proxy consumption.

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

Maximum number of reviews to scrape. Set to 0 to scrape ALL available reviews (may take a long time for popular locations). Default is 10.

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

Force the Google Maps interface to a specific language (ISO 639-1 code). This affects review text language display. Default: 'en' (English).

## `useProxy` (type: `boolean`):

Strongly recommended. Routes requests through Apify residential proxies to avoid blocks. Requires an Apify plan with proxy access.

## `cookies` (type: `array`):

Exported Google session cookies. Required to bypass Google Maps Limited View 5-review cap for locations that restrict anonymous visitors.

## Actor input object example

```json
{
  "locationNames": [
    "The Taj Mahal Palace, Mumbai"
  ],
  "maxConcurrency": 5,
  "maxReviews": 10,
  "language": "en",
  "useProxy": true
}
```

# Actor output Schema

## `results` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("datablow/google-reviews-scraper").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("datablow/google-reviews-scraper").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 datablow/google-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datablow/google-reviews-scraper"
        }
    }
}
```

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/gT99sk2Z5BOn6jD7M/builds/t7pkrIwPOTmLZgnvx/openapi.json