# Gfsstore Store Location (`getdataforme/gfsstore-store-location`) Actor

The Gfsstore Store Location actor efficiently scrapes detailed GFS store data, including addresses, contacts, and hours....

- **URL**: https://apify.com/getdataforme/gfsstore-store-location.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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?

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

## Gfsstore Store Location

### Introduction

The Gfsstore Store Location actor is designed to efficiently scrape and extract detailed information about GFS store locations. This actor provides comprehensive data, including store addresses, contact details, operating hours, and more, making it an invaluable tool for businesses and researchers alike.

### Features

- **Comprehensive Data Extraction**: Retrieves detailed information about each store, including location, contact details, and operating hours.
- **High Data Quality**: Ensures accurate and up-to-date information by leveraging robust scraping techniques.
- **Efficient Performance**: Capable of handling up to 100 requests per crawl, ensuring timely data retrieval.
- **User-Friendly Configuration**: Simple input parameters make it easy to customize the crawl to your needs.
- **Versatile Output**: Provides data in a structured JSON format, suitable for various applications.
- **Reliable Operation**: Built on Apify's CheerioCrawler, ensuring stable and consistent performance.
- **Scalable**: Easily adjust the number of requests to suit your data needs.

### Input Parameters

| Parameter | Type    | Required | Description                                             | Example |
|-----------|---------|----------|---------------------------------------------------------|---------|
| maxItems  | Integer | No       | Maximum number of requests that can be made by this crawler. | 100     |

### Example Usage

#### Example Input JSON

```json
{
  "maxItems": 50
}
```

#### Example Output JSON

```json
[
  {
    "name": "Wyoming",
    "state": "MI",
    "permalink": "https://gfsstore.com/en-us/locations/wyoming/",
    "latitude": "42.8734667",
    "longitude": "-85.6776895",
    "store_type": "store",
    "address": {
      "address_1": "4990 Clay Ave",
      "address_2": "",
      "city": "Grand Rapids",
      "state": "MI",
      "postal_code": "49548"
    },
    "phone": "616-538-4812",
    "hours": [
      {
        "start": "Mon",
        "end": "Sat",
        "open": "7:00am",
        "close": "8:00pm",
        "override": false
      },
      {
        "start": "Sun",
        "end": "Sun",
        "open": "9:00am",
        "close": "6:00pm",
        "override": false
      }
    ],
    "store_id": "192",
    "open": "yes",
    "hours_override": [],
    "timezone": "America/Detroit",
    "closed_days": [],
    "event_planner_id": "2655262",
    "manager": {
      "first_name": "Trevor",
      "photo": ""
    }
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather insights into store distribution and regional presence.
- **Competitive Intelligence**: Monitor competitor store locations and expansions.
- **Price Monitoring**: Track pricing strategies across different locations.
- **Content Aggregation**: Compile comprehensive location data for content platforms.
- **Academic Research**: Analyze geographical distribution for academic studies.
- **Business Automation**: Automate data collection for business intelligence systems.

### Installation and Usage

1. Search for "Gfsstore Store Location" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array where each object contains detailed information about a store location. Key fields include:

- `name`: Name of the store location.
- `state`: State abbreviation.
- `permalink`: URL to the store's webpage.
- `latitude` and `longitude`: Geographical coordinates.
- `address`: Nested object containing address details.
- `phone`: Contact number.
- `hours`: Array of objects detailing opening and closing times.
- `store_id`: Unique identifier for the store.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

# Actor input Schema

## `maxItems` (type: `integer`):

Maximum number of requests that can be made by this crawler.

## Actor input object example

```json
{
  "maxItems": 100
}
```

# 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("getdataforme/gfsstore-store-location").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("getdataforme/gfsstore-store-location").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 getdataforme/gfsstore-store-location --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/gfsstore-store-location"
        }
    }
}

```

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/e8Pk2ob6FdhKeZyPw/builds/wNb5g7eTngboUhZAS/openapi.json