# Express Profile Scraper (`getdataforme/express-profile-scraper`) Actor

The Express Profile Scraper extracts detailed product data from Express.com, including titles, prices, ratings, and reviews....

- **URL**: https://apify.com/getdataforme/express-profile-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 3 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

## Express Profile Scraper

The Express Profile Scraper is a powerful tool designed to extract detailed product information from Express.com. It efficiently gathers data such as product titles, prices, ratings, reviews, and more, providing valuable insights for market analysis and competitive intelligence.

### Features

- **Comprehensive Data Extraction**: Captures detailed product information including prices, ratings, and reviews.
- **High Data Quality**: Ensures accurate and up-to-date data collection.
- **Efficient Performance**: Quickly processes multiple URLs for large-scale data needs.
- **User-Friendly Interface**: Easy setup and configuration for seamless operation.
- **Versatile Output Formats**: Export data in JSON, CSV, or Excel formats.
- **Reliable and Robust**: Built to handle high-volume data scraping without interruptions.

### Input Parameters

| Parameter  | Type   | Required | Description            | Example                                                                 |
|------------|--------|----------|------------------------|-------------------------------------------------------------------------|
| startUrls  | array  | Yes      | URLs to start with.    | `["https://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/"]` |

### Example Usage

#### Example Input JSON

```json
{
  "startUrls": [
    {
      "url": "https://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/"
    }
  ]
}
```

#### Example Output JSON

```json
[
  {
    "title": "Editor Studio Stretch Twill High Waisted Flare Trouser",
    "rating": 4.5,
    "reviewCount": 718,
    "currentPrice": "$46.80",
    "originalPrice": "$78.00",
    "discountMessage": "Price Reflects 40% Off",
    "selectedColor": "cobalt blue",
    "availableColors": [
      {"code": "0058", "name": "0058"},
      {"code": "0813", "name": "0813"},
      // Additional colors...
    ],
    "availableSizes": ["0", "2", "4", "6", "8", "10", "12", "14", "16"],
    "availableLengths": ["long", "regular", "short"],
    "fitRating": "Fits as expected",
    "description": "The Editor Pant—the iconic style that started it all...",
    "features": [
      "Crafted from our beloved Studio Stretch Twill...",
      "Remove pocket basting stitches before wearing.",
      // Additional features...
    ],
    "inseamMeasurements": "Inseam: Short 30\", Regular 33\", Long 35\"",
    "fabricComposition": "Polyester/Spandex",
    "careInstructions": "Machine wash",
    "suggestedPairings": ["06957617", "67406482", "06957071"],
    "relatedProducts": [
      {
        "id": "06957916",
        "name": "Studio Stretch Twill Novelty Button Cutaway Blazer Vest",
        "currentPrice": "$46.80",
        "originalPrice": "$78.00",
        "rating": 5,
        "reviewCount": 1,
        "url": "https://www.express.com/clothing/women/studio-stretch-twill-novelty-button-cutaway-blazer-vest/pro/06957916"
      }
      // Additional related products...
    ]
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather comprehensive product data for market trends.
- **Competitive Intelligence**: Monitor competitor pricing and product offerings.
- **Price Monitoring**: Track price changes and discounts over time.
- **Content Aggregation**: Compile product information for content creation.
- **Academic Research**: Analyze consumer behavior and product popularity.
- **Business Automation**: Automate data collection for business intelligence.

### Installation and Usage

1. Search for "Express 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 detailed product information. Key fields include `title`, `rating`, `reviewCount`, `currentPrice`, `originalPrice`, `availableColors`, `availableSizes`, and more. This structured data allows for easy analysis and integration into various applications.

### 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://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/"
    }
  ]
}
```

# 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://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/express-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://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/" }] }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/express-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://www.express.com/clothing/women/editor-studio-stretch-twill-high-waisted-flare-trouser/pro/07442348/color/Cobalt%20Blue/e/regular/"
    }
  ]
}' |
apify call getdataforme/express-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/express-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/167NxL5krrZHJzdfS/builds/aVKacK6ANpxROyGmA/openapi.json