# Familydollar Parser Spider (`getdataforme/familydollar-parser-spider`) Actor

Extract comprehensive product data from Family Dollar's website, including names, prices, reviews, ratings, and images. Ideal for market research, price monitoring, and business automation, this fast, scalable Apify Actor delivers structured JSON output with no coding required.

- **URL**: https://apify.com/getdataforme/familydollar-parser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** E-commerce, Real estate, Jobs
- **Stats:** 4 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

## Familydollar Parser Spider

### Introduction

The Familydollar Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product information from Family Dollar's website. It efficiently gathers data such as product names, prices, reviews, ratings, and images, enabling users to collect structured data for analysis and automation. This tool is ideal for businesses, researchers, and developers seeking reliable, up-to-date insights from Family Dollar's online catalog.

### Features

- **Comprehensive Data Extraction**: Scrapes key product details including IDs, names, brands, prices, reviews, ratings, descriptions, and images.
- **Flexible URL Input**: Accepts multiple URLs for batch processing, allowing targeted or broad data collection.
- **High Reliability**: Built with robust error handling to ensure consistent data quality even on dynamic web pages.
- **Fast Performance**: Optimized for speed, processing multiple products efficiently without overloading servers.
- **Structured Output**: Delivers clean JSON data, easily integrable with databases, analytics tools, or APIs.
- **No Coding Required**: User-friendly interface on Apify Store for quick setup and execution.
- **Scalable**: Handles large-scale scraping tasks, suitable for enterprise-level data needs.

### Input Parameters

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| Urls | array | Yes | A list of URLs to scrape product data from Family Dollar's website. Each URL should point to a specific product page. | \["https://www.familydollar.com/huggies-snug-dry-size-5diapers-25ct/FD3009085"] |

### Example Usage

To run the Actor, provide input in JSON format:

```json
{
  "Urls": [
    "https://www.familydollar.com/huggies-snug-dry-size-5diapers-25ct/FD3009085"
  ]
}
```

Example output:

```json
[
  {
    "Product_Id": "FD3009085",
    "Product_Name": "Huggies Snug & Dry Baby Diapers, Size 5 (27+ lbs), 22 Ct",
    "Brand": "Huggies",
    "Price_Listed": 4.97,
    "Sale_Price": null,
    "Number_Of_Reviews": "15577",
    "Average_Rating": "4.5154",
    "Product_Description": "Huggies Snug & Dry Diapers: 22 baby diapers, size 5 (27+ lbs)",
    "Primary_Image_URL": "https://www.familydollar.com/ccstore/v1/images/?source=/file/v1894617043466034852/products/FD3009085.jpg&height=300&width=300",
    "Route": "https://www.familydollar.com/huggies-snug-dry-size-5diapers-25ct/FD3009085",
    "Licensed_Product": "Disney(R) Mickey Mouse",
    "Available_In_Store": true,
    "Published_Date": "01-08-2025",
    "Source_URL": "https://www.familydollar.com/huggies-snug-dry-size-5diapers-25ct/FD3009085"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Analyze pricing trends, customer reviews, and product availability to inform business strategies.
- **Competitive Intelligence**: Compare Family Dollar products with competitors for pricing and feature insights.
- **Price Monitoring**: Track price changes and sales to optimize purchasing or retail decisions.
- **Content Aggregation**: Build databases of product descriptions and images for e-commerce platforms.
- **Academic Research**: Study consumer behavior through ratings and reviews data.
- **Business Automation**: Automate data feeds for inventory management or marketing campaigns.

### Installation and Usage

1. Search for "Familydollar Parser Spider" 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 Actor outputs data in JSON array format, where each object represents a scraped product. Key fields include:

- `Product_Id`: Unique identifier for the product.
- `Product_Name`: Full name of the product.
- `Brand`: Manufacturer or brand name.
- `Price_Listed` and `Sale_Price`: Pricing information (sale price may be null if not on sale).
- `Number_Of_Reviews` and `Average_Rating`: Customer feedback metrics.
- `Product_Description`: Detailed product info.
- `Primary_Image_URL`: Link to the main product image.
- `Route` and `Source_URL`: URLs related to the product.
- `Licensed_Product`: Any associated licensing (e.g., Disney).
- `Available_In_Store`: Boolean indicating in-store availability.
- `Published_Date`: Date the product was published.

Data is structured for easy parsing and integration.

### Support

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

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

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

***

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## Actor input object example

```json
{
  "Urls": [
    "https://www.familydollar.com/huggies-snug-dry-size-5diapers-25ct/FD3009085"
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped data items from 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/familydollar-parser-spider").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/familydollar-parser-spider").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/familydollar-parser-spider --silent --output-dataset

```

## MCP server setup

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

```

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/RjgZTv8tykNfLREsQ/builds/8ZX6wh8Yl5jV6OReC/openapi.json