# Google Maps Reviews Scraper — All Reviews (No API Key) (`romy/google-maps-reviews-scraper-all-reviews-no-api-key`) Actor

Scrape every review from any Google Maps place — full text, star rating, aspects, reviewer profile, owner reply, and photos. No API key required

- **URL**: https://apify.com/romy/google-maps-reviews-scraper-all-reviews-no-api-key.md
- **Developed by:** [Romy](https://apify.com/romy) (community)
- **Categories:** Travel, Social media, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.25 / 1,000 review scrapeds

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

<div align="center">

## Google Maps Reviews Scraper

**Scrape every Google Maps review for any business — full text, star rating, aspect scores, reviewer profiles, owner replies, and photos.**

[![Apify Actor](https://img.shields.io/badge/Apify-Actor-brightgreen?logo=apify)](https://apify.com/RomySaputraSihananda/google-maps-reviews-scraper)
[![Pay Per Event](https://img.shields.io/badge/Pricing-Pay%20Per%20Event-blue)](#pricing)
[![Unlimited reviews](https://img.shields.io/badge/Reviews-Unlimited%20%2F%20place-orange)](#pricing)
[![No API key](https://img.shields.io/badge/No%20API%20key-required-success)](#)

</div>

***

### What it does

This actor fetches Google Maps reviews via the **same internal gRPC endpoint the Google Maps Android app uses** — fast, reliable, and not limited by the public Places API's 5-review cap.

Give it a list of place IDs (from [Google Maps Place Scraper](https://apify.com/RomySaputraSihananda/google-maps-place-scraper)), set how many reviews you need, and get structured output with full text, per-aspect scores (Food / Service / Atmosphere), reviewer profiles, and owner replies. Export to JSON, CSV, or Excel.

***

### Use cases

| Use Case | How |
|----------|-----|
| **Sentiment analysis** | Scrape 500+ reviews per competitor → feed to an NLP pipeline |
| **Reputation monitoring** | Track new reviews and owner reply rates over time |
| **Competitor benchmarking** | Compare Food / Service / Atmosphere scores across businesses |
| **Review dataset for ML** | Collect labeled data (star rating + text) for training classifiers |
| **Local SEO research** | Find which keywords reviewers use most to optimize your listing |
| **Customer insight** | Surface recurring complaints or praise before opening a new branch |

***

### Quick start

1. Run [Google Maps Place Scraper](https://apify.com/RomySaputraSihananda/google-maps-place-scraper) with your target keyword — each result includes a `place_id`
2. Paste those `place_id` values into this actor's `places` input
3. Set `maxReviewsPerPlace` (default 100, set `0` for all reviews)
4. Click **Start** — reviews appear in the dataset as they're fetched
5. Export as **JSON, CSV, or Excel**

***

### Input

```json
{
  "places": [
    { "place_id": "0x89b63f00396a7c33:0x9a531a57749353b9", "name": "Haraz Coffee House" },
    { "place_id": "0x2e698e8e2a49dd35:0x47d498fc89c09cb4", "name": "Kopi Kenangan Sudirman" }
  ],
  "maxReviewsPerPlace": 200,
  "language": "en"
}
```

| Field | Type | Description | Default |
|-------|------|-------------|---------|
| `places` | `array` | Places to scrape. Each item needs `place_id` (hex format) and optional `name`. | **required** |
| `maxReviewsPerPlace` | `integer` | Max reviews per place. Set `0` for all reviews (may be thousands). | `100` |
| `language` | `string` | Language for review text and aspect labels: `en`, `id`, `ms` | `en` |

> **Where to get `place_id`:** Run [Google Maps Place Scraper](https://apify.com/RomySaputraSihananda/google-maps-place-scraper) — every output item has a `place_id` in the exact hex format this actor expects. No conversion needed.

***

### Output

Each review is one dataset item. Example:

```json
{
  "place_id": "0x89b63f00396a7c33:0x9a531a57749353b9",
  "place_name": "Haraz Coffee House",
  "review_id": "Ci9DQUlRQUNvZENodHljRjlvT2...",
  "rating": 5,
  "text": "Best coffee in the area! The service was warm and attentive, and the atmosphere is perfect for working or catching up with friends.",
  "lang": "en",
  "date_text": "2 months ago",
  "timestamp_us": 1771193411266756,
  "helpful_count": 7,
  "aspects": {
    "Food": 5,
    "Service": 5,
    "Atmosphere": 4
  },
  "photos": [
    { "photo_id": "CIABIhCS58wIeyzOnj57RRTKt1v-" }
  ],
  "owner_reply": "Thank you so much for the kind words! We hope to see you again soon.",
  "owner_reply_date": "1 month ago",
  "reviewer_name": "Jane Doe",
  "reviewer_uid": "104338360754531033730",
  "reviewer_photo": "https://gz0.googleusercontent.com/a-/...",
  "reviewer_url": "https://www.google.com/maps/contrib/104338360754531033730",
  "reviewer_badge": "Local Guide · 47 reviews"
}
```

<details>
<summary><strong>All output fields</strong></summary>

| Field | Description |
|-------|-------------|
| `place_id` | Hex feature ID (echoed from input) |
| `place_name` | Place name (echoed from input) |
| `review_id` | Unique review identifier |
| `rating` | Star rating (1–5) |
| `text` | Full review text (absent for rating-only reviews) |
| `lang` | Detected language of the review text (e.g. `en`, `id`) |
| `date_text` | Human-readable date (e.g. `"2 months ago"`) |
| `timestamp_us` | Unix timestamp in microseconds |
| `helpful_count` | Number of "helpful" votes |
| `aspects` | Per-aspect scores: `Food`, `Service`, `Atmosphere` (1–5, when present) |
| `photos[].photo_id` | Photo reference — build full URL with pattern below |
| `photos[].caption` | Photo caption (when available) |
| `owner_reply` | Business owner's reply text (when present) |
| `owner_reply_date` | Human-readable date of owner reply |
| `reviewer_name` | Reviewer display name |
| `reviewer_uid` | Google contributor UID |
| `reviewer_photo` | Reviewer profile photo URL |
| `reviewer_url` | Link to reviewer's Google Maps profile |
| `reviewer_badge` | Badge text (e.g. `"Local Guide · 47 reviews"`) |

</details>

***

### Working with review photos

Use `photos[].photo_id` to build a photo URL at any resolution:

```
https://gz0.googleusercontent.com/gps-cgs/{photo_id}=w{width}-h{height}-k-no
```

```
## Thumbnail (400×300)
https://gz0.googleusercontent.com/gps-cgs/CIABIhCS58wIeyzOnj57RRTKt1v-=w400-h300-k-no

## Full size (1200×800)
https://gz0.googleusercontent.com/gps-cgs/CIABIhCS58wIeyzOnj57RRTKt1v-=w1200-h800-k-no
```

***

### Pricing

**Pay Per Event** — you only pay for what you scrape.

| Event | Price |
|-------|-------|
| Actor start | $0.05 (one-time per run) |
| Per review scraped | $0.00025 |

| Scenario | Reviews | Cost |
|----------|---------|------|
| 1 place, 100 reviews | 100 | ~$0.08 |
| 5 places × 100 reviews | 500 | ~$0.18 |
| 10 places × 100 reviews | 1,000 | ~$0.30 |
| 20 places × 500 reviews | 10,000 | ~$2.55 |

> **Pair with [Google Maps Place Scraper](https://apify.com/RomySaputraSihananda/google-maps-place-scraper)** to discover up to 162 places per keyword search, then pipe those results directly into this actor for deep review scraping.

***

### FAQ

**How many reviews can I get per place?**
Unlimited. Set `maxReviewsPerPlace: 0` to fetch every review. The actor paginates automatically.

**What are the `aspects` scores?**
Reviewers can rate specific aspects separately from the overall star rating. Common aspects: `Food`, `Service`, `Atmosphere` for restaurants; `Rooms`, `Location`, `Cleanliness` for hotels. Only present when the reviewer filled them in.

**How do I get the `place_id`?**
Run [Google Maps Place Scraper](https://apify.com/RomySaputraSihananda/google-maps-place-scraper) with your search keyword — every output item has a `place_id` in the correct hex format for this actor.

**Are reviews in chronological order?**
Yes, most recent first by default.

**Can I get reviews in Indonesian or Malay?**
Yes — set `language` to `id` (Indonesian) or `ms` (Malay). Review text and aspect labels come back in the chosen language.

**Will it get blocked?**
The actor uses authentic Android Maps credentials and behaves like a real mobile client. No proxy needed for normal volumes.

**Issues or feature requests?**
Open a ticket in the **Issues** tab.

# Actor input Schema

## `places` (type: `array`):

List of places to scrape reviews for. Each item must have a 'place_id' (hex feature_id from google-maps-place-scraper, e.g. '0x89b63f00396a7c33:0x9a531a57749353b9') and optional 'name'.

## `maxReviewsPerPlace` (type: `integer`):

Maximum number of reviews to fetch per place (paginated). 0 = all reviews.

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

Language for review text and aspect labels.

## Actor input object example

```json
{
  "places": [
    {
      "place_id": "0x89b63f00396a7c33:0x9a531a57749353b9",
      "name": "Haraz Coffee House"
    }
  ],
  "maxReviewsPerPlace": 100,
  "language": "en"
}
```

# 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 = {
    "places": [
        {
            "place_id": "0x89b63f00396a7c33:0x9a531a57749353b9",
            "name": "Haraz Coffee House"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("romy/google-maps-reviews-scraper-all-reviews-no-api-key").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 = { "places": [{
            "place_id": "0x89b63f00396a7c33:0x9a531a57749353b9",
            "name": "Haraz Coffee House",
        }] }

# Run the Actor and wait for it to finish
run = client.actor("romy/google-maps-reviews-scraper-all-reviews-no-api-key").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 '{
  "places": [
    {
      "place_id": "0x89b63f00396a7c33:0x9a531a57749353b9",
      "name": "Haraz Coffee House"
    }
  ]
}' |
apify call romy/google-maps-reviews-scraper-all-reviews-no-api-key --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,romy/google-maps-reviews-scraper-all-reviews-no-api-key"
        }
    }
}
```

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/6vDkkos2x87MR9wVs/builds/ivqmw7Np78FlbJGzE/openapi.json