# Google Places Search Places Scraper (`data_direct/google-places-search-scraper`) Actor

Search Google Maps places by keyword with optional geographic bias

- **URL**: https://apify.com/data\_direct/google-places-search-scraper.md
- **Developed by:** [Data Direct](https://apify.com/data_direct) (community)
- **Categories:** Business, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 pages

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Google Places Search Places Scraper

Search Google Maps places — local businesses, restaurants, hotels, shops and points of interest — by free-text query. Returns name, address, phone, website, rating, review count, opening hours, coordinates, and a sample of recent photos for each result. Optionally bias results by latitude, longitude and zoom level. Each page returns up to 10 places.

### Features

- Real-time Google Places data — results are fetched live at run time, never cached or stale
- No login, cookies, or proxy configuration needed — just provide the input and run
- Each result is pushed as a separate dataset item, exportable as JSON, CSV, or Excel
- Fast: a typical run finishes in seconds

### Input

| Field | Type | Required | Description |
|---|---|---|---|
| `query` | string | yes | Search keyword (max 500 characters). E.g. `coffee shops brooklyn`, `dentists 90210`, `hilton hotels paris` |
| `pages` | integer | no | Number of pages to fetch and merge. Each page returns up to 10 results |
| `lat` | number | no | Center latitude for geographic bias (provide with `lng`) |
| `lng` | number | no | Center longitude for geographic bias (provide with `lat`) |
| `zoom` | integer | no | Map zoom level. Smaller values widen the search radius (13 ≈ city, 15 ≈ neighborhood, 10 ≈ metro area) |
| `country` | string | no | 2-letter ISO 3166-1 alpha-2 region code |
| `language` | string | no | 2-letter ISO 639-1 language code |

### Pricing

This Actor is billed **per page of results** — **$0.01 per page**.

- Results come in pages. Use the `pages` input to choose how many pages to fetch (1–20); more pages means more results.
- You pay $0.01 for each page you fetch, so `pages: 3` costs **$0.03** and `pages: 1` costs **$0.01**.
- You’re only charged when a run succeeds. Failed runs are free.

### Example output

```json
{
  "places": [
    {
      "place_id": "ChIJifIePKtZwokRVZ-UdRGkZzs",
      "name": "Joe's Pizza Broadway",
      "type": "Pizza restaurant",
      "subtypes": [
        "Pizza restaurant",
        "Pizza delivery",
        "Restaurant"
      ],
      "phone_number": "+16465594878",
      "website": "https://www.joespizzanyc.com",
      "domain": "joespizzanyc.com",
      "rating": 4.5,
      "review_count": 25433,
      "reviews_per_rating": {
        "1": 753,
        "2": 604,
        "3": 2107,
        "4": 4946,
        "5": 17023
      },
      "price_level": "$10\u201320",
      "verified": true,
      "business_status": "OPEN",
      "opening_status": "Open \u00b7 Closes 3 AM",
      "working_hours": {
        "Monday": [
          "10 AM\u20133 AM"
        ],
        "Sunday": [
          "10 AM\u20133 AM"
        ]
      },
      "opening_date": null,
      "address": "Joe's Pizza Broadway, 1435 Broadway, New York, NY 10018",
      "street_address": "1435 Broadway",
      "district": "Manhattan",
      "city": "New York",
      "state": "New York",
      "zipcode": "10018",
      "country": "US",
      "latitude": 40.75468,
      "longitude": -73.98703,
      "timezone": "America/New_York",
      "summary": "Modern outpost of a longtime counter-serve pizza joint prepping New York-style slices and pies.",
      "about": {
        "summary": "Modern outpost of a longtime counter-serve pizza joint prepping New York-style slices and pies.",
        "details": {
          "Accessibility": {
            "Wheelchair accessible entrance": true,
            "Wheelchair accessible parking lot": false,
            "Wheelchair accessible seating": false
          }
        }
      },
      "photo_count": 22117,
      "photos_sample": [
        {
          "photo_id": "CI
  ... (truncated)
```

### About

Maintained by **Data Direct** — a small suite of fast, reliable Google Places and web-data scrapers. Each actor returns clean, structured results with no login, cookies, or proxy setup required. Have a question or a custom data need? Open an issue on this actor.

# Actor input Schema

## `query` (type: `string`):

Search keyword (max 500 characters). E.g. `coffee shops brooklyn`, `dentists 90210`, `hilton hotels paris`

## `pages` (type: `integer`):

Number of pages to fetch and merge. Each page returns up to 10 results and is billed as one request

## `lat` (type: `number`):

Center latitude for geographic bias (provide with `lng`)

## `lng` (type: `number`):

Center longitude for geographic bias (provide with `lat`)

## `zoom` (type: `integer`):

Map zoom level. Smaller values widen the search radius (13 ≈ city, 15 ≈ neighborhood, 10 ≈ metro area)

## `country` (type: `string`):

2-letter ISO 3166-1 alpha-2 region code

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

2-letter ISO 639-1 language code

## Actor input object example

```json
{
  "query": "pizza new york",
  "pages": 1,
  "zoom": 13,
  "country": "us",
  "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 = {
    "query": "pizza new york"
};

// Run the Actor and wait for it to finish
const run = await client.actor("data_direct/google-places-search-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 = { "query": "pizza new york" }

# Run the Actor and wait for it to finish
run = client.actor("data_direct/google-places-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "pizza new york"
}' |
apify call data_direct/google-places-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=data_direct/google-places-search-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/mvtmLmPrAYrTFIPYH/builds/B1qCZdh6D9S7lx4I5/openapi.json