# Athleta Profile Scraper (`getdataforme/athleta-profile-scraper`) Actor

The Athleta Profile Scraper efficiently extracts detailed product data from Athleta's online store, ideal for businesses and researchers. It offers comprehensive data extraction, high accuracy, fast performance, and flexible output formats, all supported by Apify's reliable infrastructure.

- **URL**: https://apify.com/getdataforme/athleta-profile-scraper.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

## Athleta Profile Scraper

The Athleta Profile Scraper is a powerful tool designed to extract detailed product information from Athleta's online store. This actor is ideal for businesses and researchers looking to gather comprehensive data on Athleta's product offerings, including pricing, availability, and product specifications.

### Features

- **Comprehensive Data Extraction**: Captures detailed product information, including pricing, ratings, and available variants.
- **High Data Quality**: Ensures accurate and up-to-date information by scraping directly from Athleta's website.
- **Efficient Performance**: Optimized for fast data retrieval, minimizing wait times.
- **User-Friendly Interface**: Easy to configure and run with minimal setup required.
- **Flexible Output Formats**: Export data in JSON, CSV, or Excel formats for easy integration into your workflows.
- **Reliable Operation**: Built on Apify's robust infrastructure, ensuring consistent and reliable performance.

### Input Parameters

| Parameter  | Type   | Required | Description              | Example |
|------------|--------|----------|--------------------------|---------|
| startUrls  | array  | Yes      | URLs to start with.      | `["https://athleta.gap.com/browse/product.do?pid=533636032&rrec=true&mlink=5001%2C1%2Chome_athome5_rr_1&clink=1&vid=1#pdp-page-content"]` |

### Example Usage

#### Example Input

```json
{
  "startUrls": [
    {
      "url": "https://athleta.gap.com/browse/product.do?pid=533636032&rrec=true&mlink=5001%2C1%2Chome_athome5_rr_1&clink=1&vid=1#pdp-page-content"
    }
  ]
}
```

#### Example Output

```json
[
  {
    "url": "https://apify.com/",
    "productId": null,
    "title": "",
    "marketingFlag": "",
    "pricing": {
      "regularPrice": "",
      "salePrice": null,
      "strikethroughPrice": null,
      "onSale": false
    },
    "rating": {
      "average": null,
      "count": 0
    },
    "colors": {
      "regularColors": [],
      "salePriceGroups": [],
      "swatchImages": []
    },
    "variants": {
      "fits": [],
      "sizes": []
    },
    "media": {
      "images": [],
      "video": null
    },
    "details": {
      "productDetails": [],
      "sizeAndFit": [],
      "fabricAndCare": []
    },
    "fulfillment": {
      "shipping": false,
      "pickup": false
    },
    "payments": {
      "installmentText": "",
      "options": []
    }
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather data on product trends and consumer preferences.
- **Competitive Intelligence**: Monitor competitor pricing and product offerings.
- **Price Monitoring**: Track price changes and promotions.
- **Content Aggregation**: Compile product information for content creation.
- **Academic Research**: Analyze consumer behavior and market dynamics.
- **Business Automation**: Automate data collection for business processes.

### Installation and Usage

1. Search for "Athleta Profile Scraper" 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 containing objects with the following fields:

- `url`: The URL of the product page.
- `productId`: The unique identifier for the product.
- `title`: The product title.
- `pricing`: An object containing `regularPrice`, `salePrice`, `strikethroughPrice`, and `onSale` status.
- `rating`: An object with `average` rating and `count` of reviews.
- `colors`: Lists of available colors and swatch images.
- `variants`: Available fits and sizes.
- `media`: Images and video links.
- `details`: Product details, size and fit information, and fabric care instructions.
- `fulfillment`: Shipping and pickup availability.
- `payments`: Installment options and payment methods.

### 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

## `startUrls` (type: `array`):

URLs to start with.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://athleta.gap.com/browse/product.do?pid=533636032&rrec=true&mlink=5001%2C1%2Chome_athome5_rr_1&clink=1&vid=1#pdp-page-content"
    }
  ]
}
```

# 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 = {
    "startUrls": [
        {
            "url": "https://athleta.gap.com/browse/product.do?pid=533636032&rrec=true&mlink=5001%2C1%2Chome_athome5_rr_1&clink=1&vid=1#pdp-page-content"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/athleta-profile-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 = { "startUrls": [{ "url": "https://athleta.gap.com/browse/product.do?pid=533636032&rrec=true&mlink=5001%2C1%2Chome_athome5_rr_1&clink=1&vid=1#pdp-page-content" }] }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/athleta-profile-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 '{
  "startUrls": [
    {
      "url": "https://athleta.gap.com/browse/product.do?pid=533636032&rrec=true&mlink=5001%2C1%2Chome_athome5_rr_1&clink=1&vid=1#pdp-page-content"
    }
  ]
}' |
apify call getdataforme/athleta-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/athleta-profile-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/LeuHrOEftdQkoSdh5/builds/I81miuVo35tB0nGf5/openapi.json