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

Scrape all Google Maps reviews using keywords, place URLs, or IDs. Filter by date, rating, or keyword, and capture reviewer details, translations, photos, aspect ratings, owner replies, and complete business info in structured format

- **URL**: https://apify.com/web\_wanderer/google-reviews-scraper.md
- **Developed by:** [Billy](https://apify.com/web_wanderer) (community)
- **Categories:** Lead generation, AI, Real estate
- **Stats:** 1,761 total users, 381 monthly users, 98.9% runs succeeded, 29 bookmarks
- **User rating**: 4.99 out of 5 stars

## Pricing

from $0.22 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

### 📍 Google Maps Reviews Scraper

Scrape reviews from **Google Maps** by providing **Place URLs** or **Place IDs** — fast, structured, and cheap solution.

#### Why use this actor?

- Extract **detailed review content**, including reviewer profiles, ratings, text, photos, and owner responses.
- Use for **sentiment analysis**, **brand monitoring**, **lead generation**, or **market research**.
- Find *reviews that matter most* by filtering for **keywords** like "delivery", "bad service", or "amazing coffee".
- **Cost-efficient**: Only **$0.35 per 1,000 reviews**.

***

### Features

- Supports both **Place URLs** and **Place IDs**

- Scrapes:

  - Reviewer details (optional)
  - Star ratings + detailed service ratings
  - Review text, photos, and date
  - Owner responses

- Handles **pagination** (up to 10,000 pages per place)

- Clean, structured **JSON output**

- 🎯 **Keyword filter & reviews ordering**: Easily find reviews that mention specific topics, products, complaints, or praise.

***

**Example input:**

```json
{
  "include_personal": false,
  "lang": "fr",
  "limit": 3,
  "order": "highest_rating",
  "source": "google",
  "searchKeyword": "",
  "search_limit": 1,
  "search_location": "New York",
  "search_coordination": "",
  "place_ids": ["ChIJoTXWl8dbwokRpKA2BJFVsGA"],
  "place_urls": [],
  "search": []
}
```

***

### Output Example

Each review item includes rich metadata:

```json
{
  "review_id": "Ci9DQUlRQUNvZENodHljRjlvT2tKWWNEVjFOVEpDVGtvNU4zbE5UWFkzVVRKclYxRRAB",
  "review_url": "https://www.google.com/maps/reviews/data=!4m8!14m7!1m6!2m5!1sCi9DQUlRQUNvZENodHljRjlvT2tKWWNEVjFOVEpDVGtvNU4zbE5UWFkzVVRKclYxRRAB!2m1!1s0x0:0x60b055910436a0a4!3m1!1s2@1:CAIQACodChtycF9oOkJYcDV1NTJCTko5N3lNTXY3UTJrV1E%7C%7C?hl=fr",
  "review_position": 20,
  "reviewer_id": null,
  "reviewer_name": null,
  "reviewer_photo_url": "https://lh3.googleusercontent.com/a-/ALV-UjX5rrhPU0sUkuhM-xsi5qm485YqkUY2xxLvoijkNBIx5l2zRaQ=s120-c-rp-mo-ba2-br100",
  "reviewer_reviews_count": 11,
  "reviewer_photos_count": 17,
  "is_local_guide": false,
  "source": "Google",
  "rating": 5,
  "rating_aspects": [
    {
      "aspect": "Cuisine",
      "rating": 5
    },
    {
      "aspect": "Service",
      "rating": 5
    },
    {
      "aspect": "Ambiance",
      "rating": 5
    }
  ],
  "content": "Being greeted off the elevator by name is a lovely way to start your experience, then there is also the incredible view that never gets old!\nWe sat at the bar and our bartender was lovely. She made recommendations that were on point and was engaging.\nAs great as the above may be… the burger is better!\nI forgot to take a photo of it because it was gone almost no time.\nThe drinks and crudo was perfectly fine, but very pretty!",
  "content_language": "en",
  "content_translated": "Être accueilli par son nom à la sortie de l'ascenseur est une agréable façon de commencer l'expérience, sans oublier la vue incroyable dont on ne se lasse jamais !\nNous nous sommes installés au bar et notre barmaid était adorable. Ses recommandations étaient pertinentes et engageantes.\nAussi excellent que cela puisse paraître… le burger est meilleur !\nJ'ai oublié de le prendre en photo, car il a disparu en un rien de temps.\nLes boissons et le crudo étaient excellents, mais très jolis !",
  "translated_language": "fr",
  "review_photos_urls": [
    "https://lh3.googleusercontent.com/geougc-cs/AB3l90Cy2pCz4VgDEfg8b_1UdIme-KDWSIU1mWDwFWYeOW3sPccocFEs9t5_B2jacvSJLiPXF5t66h8Oie2lgt4OA8YmBjmy9vJ9LxdPxEXcm7W4w1VxnQakoZ5vmOQ4QMZSAlZ3TCtiR8K--Aip",
    "https://lh3.googleusercontent.com/geougc-cs/AB3l90BYqU90kAaEF_3V3T4yZUGQhxVocxRI9-LAO4gTTt7qm7JrsuQmVyVSgrhXA7flRBtWkNviKqgr0YRzxSUZhG9mPrIXQMew3YJf7kRcOjqKVup6rrXrLHEIg8bDsJZt38UVYiuXC9f0v_mm"
  ],
  "reviewed_at": "il y a un mois",
  "reviewed_at_date": "2025-08-10T00:19:25.502000Z",
  "owner_response": "Hi Nicole, we’re so glad you enjoyed your time at Manhatta. We hope to welcome you back soon.\n",
  "owner_response_translated": "Bonjour Nicole, nous sommes ravis que vous ayez apprécié votre séjour à Manhattan. Nous espérons vous accueillir à nouveau bientôt.",
  "owner_response_at": "il y a un mois",
  "owner_response_at_date": "2025-08-20T03:48:03Z",
  "scraped_at": null,
  "fid": "0x89c25bc797d635a1:0x60b055910436a0a4",
  "place_id": "ChIJoTXWl8dbwokRpKA2BJFVsGA",
  "place_name": "Manhatta",
  "place_rating": 4.7,
  "place_reviews_count": 3114,
  "place_photo_url": "https://lh3.googleusercontent.com/p/AF1QipOs4lZA-0q6wHZG47gsDR_Uaidq-U8doAqCnPEo=w408-h272-k-no",
  "address": ["28 Liberty St 60th floor", "New York, NY 10005", "États-Unis"],
  "street": "28 Liberty St 60th floor",
  "city": "New York",
  "postal_code": "10005",
  "state": "New York",
  "contry": "US",
  "language": "en",
  "location": {
    "lat": 40.70799739999999,
    "lng": -74.00888259999999
  },
  "category": "Restaurant",
  "cotegories": [
    "Restaurant",
    "Bar",
    "Bar à cocktails",
    "Espace événementiel",
    "Restaurant gastronomique",
    "Restaurant de cuisine américaine moderne",
    "Bar à vin"
  ],
  "reviewer_url": null,
  "reviewer_photo": null
}
```

***

### Sample Use Cases

- **Analyze customer feedback** for multiple locations
- **Compare competitors** in local areas
- Feed structured data into ML or NLP pipelines
- Build reviewer outreach or reward systems

***

### Need More?

Want custom scraping logic, export formats, or millions of reviews monthly?

> Dm me on [Discord](https://www.discord.com/users/565503346279186433) for bulk scraping deals.

### Try it Free

**Is this actor legal to use?**\
Yes, scraping public data is legal in many cases — but you're responsible for ensuring compliance with local laws and Google’s terms.

***

### Need Help?

Questions? Ideas? Bugs?\
Reach out through Apify Support We’re always happy to help.

# Actor input Schema

## `include_personal` (type: `boolean`):

If enabled, the actor will include personal information about the reviewer, such as name, user ID, and profile URL.

## `place_urls` (type: `array`):

Google Maps place URLs to scrape (e.g., `https://www.google.com/maps/place/Gate+City+Coffee/@42.8721827,-112.5145324,13z/...`).

## `place_ids` (type: `array`):

Google Place IDs (`place_fid`) to scrape (e.g., `ChIJoTXWl8dbwokRpKA2BJFVsGA`).

## `anyDate` (type: `string`):

Select date in format YYYY-MM-DD or {number} {unit}

## `lang` (type: `string`):

Set the language in which reviews should be returned. It will include both the original language and the specified target language.

## `filter_stars` (type: `array`):

Select one or more star ratings to filter reviews. When enabled, the sort order is automatically set to 'Newest' to maximize the chance of finding all matching reviews for each selected star rating.

## `limit` (type: `integer`):

Maximum number of reviews to scrape per place.

## `order` (type: `string`):

Set the order of the reviews

## `source` (type: `string`):

Select the source of the reviews. Choose 'All' to scrape from all available sources, or specify 'Googles' for Google reviews only.

## `searchKeyword` (type: `string`):

This filter looks for keywords used in reviews, e.g `good`, `bad` etc

## `search` (type: `array`):

Provide one or more search queries (e.g., 'restaurants') or Google Maps search URLs. URLs must include the `maps/search` path to be valid.

## `search_limit` (type: `integer`):

Set the maximum number of search result pages to process per query or URL. Each page typically contains up to 40 places.

## `search_location` (type: `string`):

Specify a location to search within, such as a city name (e.g., `Paris`, `Berlin`, `New York`). Useful for general queries like 'restaurants' without geographic context.

## `search_coordination` (type: `string`):

Specify a geographic coordinate in the format `<longitude>,<latitude>` (e.g., `2.3522,48.8566` for Paris). This allows for precise location targeting when used with general queries.

## `sort_dataset` (type: `boolean`):

If enabled, after scraping completes, all reviews are read from the default dataset, sorted by the specified keys, and pushed to a separate named dataset. The default dataset remains unchanged.

## `sort_keys` (type: `array`):

Dataset fields to sort reviews by, in order of priority. All keys share the same sort direction.

## `sort_order` (type: `string`):

Sort direction applied to all sort keys.

## Actor input object example

```json
{
  "include_personal": false,
  "place_urls": [
    "https://www.google.com/maps/place/Gate+City+Coffee/@42.8721827,-112.5145324,13z/data=!4m12!1m2!2m1!1scafe+near+me!3m8!1s0x53554f38893bbb89:0x222e4f25f9ee250!8m2!3d42.8620172!4d-112.4511824!9m1!1b1!15sCgxjYWZlIG5lYXIgbWUiA5ABAVoOIgxjYWZlIG5lYXIgbWWSAQtjb2ZmZWVfc2hvcKoBPhABKggiBGNhZmUoADIeEAEiGtpRAY4m-mMFxs0ifZy5vM6DMp9S9_hPUXd0MhAQAiIMY2FmZSBuZWFyIG1l4AEA!16s%2Fg%2F11t19c1zg9?entry=ttu&g_ep=EgoyMDI1MDYxMS4wIKXMDSoASAFQAw%3D%3D"
  ],
  "place_ids": [
    "ChIJoTXWl8dbwokRpKA2BJFVsGA",
    "0x53554f38893bbb89:0x222e4f25f9ee250"
  ],
  "lang": "en",
  "limit": 200,
  "order": "most_relevant",
  "source": "all",
  "searchKeyword": "",
  "search": [
    "restaurant"
  ],
  "search_limit": 1,
  "search_location": "New York",
  "search_coordination": "",
  "sort_dataset": false,
  "sort_keys": [
    "reviewed_at_date"
  ],
  "sort_order": "desc"
}
```

# Actor output Schema

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

All scraped Google Maps reviews in the default dataset. Each item represents a single review with place info, reviewer details, rating, text content, and photos.

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

Reviews sorted by the fields configured in the Custom Dataset Sorting input section, stored in a separate dataset.

# 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 = {
    "place_urls": [
        "https://www.google.com/maps/place/Gate+City+Coffee/@42.8721827,-112.5145324,13z/data=!4m12!1m2!2m1!1scafe+near+me!3m8!1s0x53554f38893bbb89:0x222e4f25f9ee250!8m2!3d42.8620172!4d-112.4511824!9m1!1b1!15sCgxjYWZlIG5lYXIgbWUiA5ABAVoOIgxjYWZlIG5lYXIgbWWSAQtjb2ZmZWVfc2hvcKoBPhABKggiBGNhZmUoADIeEAEiGtpRAY4m-mMFxs0ifZy5vM6DMp9S9_hPUXd0MhAQAiIMY2FmZSBuZWFyIG1l4AEA!16s%2Fg%2F11t19c1zg9?entry=ttu&g_ep=EgoyMDI1MDYxMS4wIKXMDSoASAFQAw%3D%3D"
    ],
    "place_ids": [
        "ChIJoTXWl8dbwokRpKA2BJFVsGA",
        "0x53554f38893bbb89:0x222e4f25f9ee250"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("web_wanderer/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 = {
    "place_urls": ["https://www.google.com/maps/place/Gate+City+Coffee/@42.8721827,-112.5145324,13z/data=!4m12!1m2!2m1!1scafe+near+me!3m8!1s0x53554f38893bbb89:0x222e4f25f9ee250!8m2!3d42.8620172!4d-112.4511824!9m1!1b1!15sCgxjYWZlIG5lYXIgbWUiA5ABAVoOIgxjYWZlIG5lYXIgbWWSAQtjb2ZmZWVfc2hvcKoBPhABKggiBGNhZmUoADIeEAEiGtpRAY4m-mMFxs0ifZy5vM6DMp9S9_hPUXd0MhAQAiIMY2FmZSBuZWFyIG1l4AEA!16s%2Fg%2F11t19c1zg9?entry=ttu&g_ep=EgoyMDI1MDYxMS4wIKXMDSoASAFQAw%3D%3D"],
    "place_ids": [
        "ChIJoTXWl8dbwokRpKA2BJFVsGA",
        "0x53554f38893bbb89:0x222e4f25f9ee250",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("web_wanderer/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 '{
  "place_urls": [
    "https://www.google.com/maps/place/Gate+City+Coffee/@42.8721827,-112.5145324,13z/data=!4m12!1m2!2m1!1scafe+near+me!3m8!1s0x53554f38893bbb89:0x222e4f25f9ee250!8m2!3d42.8620172!4d-112.4511824!9m1!1b1!15sCgxjYWZlIG5lYXIgbWUiA5ABAVoOIgxjYWZlIG5lYXIgbWWSAQtjb2ZmZWVfc2hvcKoBPhABKggiBGNhZmUoADIeEAEiGtpRAY4m-mMFxs0ifZy5vM6DMp9S9_hPUXd0MhAQAiIMY2FmZSBuZWFyIG1l4AEA!16s%2Fg%2F11t19c1zg9?entry=ttu&g_ep=EgoyMDI1MDYxMS4wIKXMDSoASAFQAw%3D%3D"
  ],
  "place_ids": [
    "ChIJoTXWl8dbwokRpKA2BJFVsGA",
    "0x53554f38893bbb89:0x222e4f25f9ee250"
  ]
}' |
apify call web_wanderer/google-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,web_wanderer/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/pP8fxA1kSf7snQKNW/builds/rmHEj0x3hnPgZopUd/openapi.json