# Modesens Scraper (`getdataforme/modesens-scraper`) Actor

A ModeSens scraper automatically extracts fashion product data from ModeSens.com, including prices across multiple retailers, designer items, availability, size options, and price history. It helps track luxury fashion trends, compare prices across different stores, and monitor designer product.

- **URL**: https://apify.com/getdataforme/modesens-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** E-commerce
- **Stats:** 7 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $7.00 / 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/platform/actors/running/actors-in-store#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

## Modesens Scraper Documentation

### Overview

The **Modesens Scraper** is an Apify actor designed to extract detailed product information from Modesens.com. By providing a list of product URLs as input, the scraper retrieves essential details such as product name, price, images, descriptions, and more.

***

### Input Configuration

The input for the Modesens Scraper should be a JSON object containing the following keys:

- `urls`: An array of Modesens product URLs to scrape.
- `proxyConfiguration`: An object to configure proxy settings, ensuring the scraper can operate effectively without IP blocking.

#### Input Example

```json
{
  "urls": [
    "https://modesens.com/product/moncler-wool-cape-with-logo-black-75179344/"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

***

### Output

The scraper returns a JSON array of objects, where each object contains detailed information about the product, including:

- `product_name`: The name of the product.
- `product_price`: The price of the product.
- `product_image`: An array of image URLs for the product.
- `product_url`: The URL of the scraped product page.
- `description`: A brief description of the product.
- `sku`: The unique stock-keeping unit identifier.

#### Output Example

```json
[
  {
    "product_name": "Wool Cape With Logo In Black",
    "product_price": "1131",
    "product_image": [
      "https://cdn.modesens.com/product/75179344_160?w=1024",
      "https://cdn.modesens.com/media/180776285?w=1024",
      "https://cdn.modesens.com/media/180776286?w=1024",
      "https://cdn.modesens.com/media/180776287?w=1024",
      "https://cdn.modesens.com/media/180776288?w=1024",
      "https://cdn.modesens.com/media/180776289?w=1024",
      "https://cdn.modesens.com/media/180776290?w=1024",
      "https://cdn.modesens.com/media/180776291?w=1024",
      "https://cdn.modesens.com/media/180526477?w=1024",
      "https://cdn.modesens.com/media/180526480?w=1024",
      "https://cdn.modesens.com/media/180526485?w=1024",
      "https://cdn.modesens.com/media/180526488?w=1024",
      "https://cdn.modesens.com/media/180526490?w=1024",
      "https://d3vfig6e0r0snz.cloudfront.net/rcYjnYuenaTH5vyDF/images/products/39c30fb4e1fc4cb07523a8d5b38a1dbb.jpg"
    ],
    "product_url": "https://modesens.com/product/moncler-wool-cape-with-logo-black-75179344/",
    "description": "Shop Moncler Wool Cape With Logo In Black from 600+ stores, starting at $1131. Striped edge, inlaid knitted logo, wide collar, front decorated with zipper, long and wide sleeves, tassel edge, medium length?*Due to the production batches, place of production, etc., the brand will adjust the product number, appearance details, accessories and packaging, etc. may be slightly different from the picture of the goods, specific to prevail in kind.?",
    "sku": 75179344
  }
]
```

***

### Usage Instructions

1. **Input Preparation**: Create a JSON file with the `urls` array containing the product URLs to scrape. Optionally, configure the `proxyConfiguration` to use Apify Proxy.
2. **Actor Execution**: Run the Modesens Scraper actor on the Apify platform, providing the input JSON file.
3. **Retrieve Results**: After the execution, download the output JSON containing the scraped data.

***

### Support

For custom outputs, simplified formats, or to report any issues, please contact:

- **Email**: <support@getdataforme.com>
- **Contact Form**: <https://getdataforme.com/contact/>

When reaching out, please include a clear subject line and a detailed description of your request or issue.

***

Thank you for using the Modesens Scraper!

# Actor input Schema

## `urls` (type: `array`):

A list of URLs of the web pages you want to scrape data from.

## `proxyConfiguration` (type: `object`):

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "urls": [
    "https://modesens.com/product/moncler-wool-cape-with-logo-black-75179344/"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "urls": [
        "https://modesens.com/product/moncler-wool-cape-with-logo-black-75179344/"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/modesens-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 = {
    "urls": ["https://modesens.com/product/moncler-wool-cape-with-logo-black-75179344/"],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/modesens-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://modesens.com/product/moncler-wool-cape-with-logo-black-75179344/"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call getdataforme/modesens-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=getdataforme/modesens-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/l7uSpMHutgBYm7ee5/builds/fhYsHUphUtmAmg7wy/openapi.json