# Google Places Business Data Extractor (`victor187/google-places-business-extractor`) Actor

Search Google Places (official API, your own key) by category and location for structured business data: name, address, phone, website, rating, reviews, price level. No scraping.

- **URL**: https://apify.com/victor187/google-places-business-extractor.md
- **Developed by:** [victor](https://apify.com/victor187) (community)
- **Categories:** Lead generation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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 Places Business Data Extractor

Search for businesses by category and location, get back clean structured data — name, address, phone, website, rating, review count, price level. No scraping: this uses Google's own official Places API.

### Input

```json
{
  "queries": ["coffee shops in Barcelona", "plumbers near Chicago"],
  "maxResultsPerQuery": 10,
  "googleApiKey": "your-own-google-cloud-api-key"
}
```

You need your own Google Cloud API key with the **Places API (New)** enabled (console.cloud.google.com). Google bills you directly for API usage at their own rates — this keeps our per-result price low since you're not paying twice.

### Output

```json
{
  "query": "coffee shops in Barcelona",
  "name": "Cafe Central",
  "address": "Carrer Test 1, Barcelona",
  "phone": "931 234 567",
  "website": "https://cafecentral.example",
  "rating": 4.5,
  "reviewCount": 210,
  "priceLevel": "$$",
  "businessStatus": "OPERATIONAL",
  "primaryType": "cafe",
  "googleMapsUrl": "https://maps.google.com/?cid=123"
}
```

### Who this is for

- Sales teams building local business lead lists
- Agencies doing local market research
- Anyone who needs structured business data without touching Google's rate-limited, ToS-restricted scraping territory

### Pricing

Pay per use — no subscription:

- $0.01 per run
- $0.01 per business returned

# Actor input Schema

## `queries` (type: `array`):

Each entry is a free-text search, e.g. "restaurants in Madrid" or "plumbers near Chicago".

## `maxResultsPerQuery` (type: `integer`):

Up to 20 per query (single page of the Google Places API).

## `googleApiKey` (type: `string`):

Your own Google Cloud API key with the Places API (New) enabled. You are billed by Google directly for API usage, not by us.

## Actor input object example

```json
{
  "queries": [
    "coffee shops in Barcelona"
  ],
  "maxResultsPerQuery": 10
}
```

# Actor output Schema

## `businesses` (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 = {
    "queries": [
        "coffee shops in Barcelona"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("victor187/google-places-business-extractor").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 = { "queries": ["coffee shops in Barcelona"] }

# Run the Actor and wait for it to finish
run = client.actor("victor187/google-places-business-extractor").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 '{
  "queries": [
    "coffee shops in Barcelona"
  ]
}' |
apify call victor187/google-places-business-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,victor187/google-places-business-extractor"
        }
    }
}
```

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/Gh4to8ebcPVAymaDr/builds/msncZt5S0UEmMKvqi/openapi.json