Fashion United Marketplace Scraper

Fashion United Marketplace Scraper

by newbs

Automatically scrape clothing products from global fashion marketplaces for trend analysis and sourcing. Includes proxy support for reliable data collection.

915 runs
20 users
Try This Actor

Opens on Apify.com

About Fashion United Marketplace Scraper

Need to track what's actually selling in fashion right now? I built this Fashion United Marketplace Scraper because I got tired of manually checking dozens of sites. It pulls product data from major global fashion hubs, giving you a clean dataset of clothing items, prices, and trends all in one place. The real win is using it for competitor research and sourcing—you can see what styles are popping up across different markets overnight. It handles the tricky parts, like rotating proxies to avoid getting blocked, so you get consistent data without the headache. You'll get detailed JSON or CSV outputs with the product info you actually need for analysis or to feed into your own systems. I use it weekly to spot emerging trends before they hit the mainstream and to check pricing strategies. If you're in fashion e-commerce, market research, or SEO, this automates the tedious data collection part, letting you focus on the strategy.

What does this actor do?

Fashion United Marketplace Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Fashion United Marketplace Scraper

Scrapes job listings from the Fashion-United Marketplace. Returns structured data for each listing, including job details, company information, and metadata.

Key Features

  • Extracts job listings based on role, country, and optional city.
  • Configurable result count.
  • Optional proxy support.
  • Outputs a structured array of job objects with consistent fields.

How to Use

  1. Create a task for this actor on Apify.
  2. Configure the required input parameters.
  3. Run the task. The actor will fetch and return the job listings.

Input

Required parameters in JSON format:

{
  "job": "seller",
  "country": "United States",
  "numberOfResults": 10
}
  • job (required): The job role to search for.
  • country (required): The country for the job search.
  • city (optional): The city for the job search.
  • numberOfResults (required): The number of job listings to retrieve.
  • proxy (optional): Proxy configuration object.

Output

The actor returns an array of objects. Each object represents a job listing and includes fields such as:

  • title, salary, country
  • expiresAt, insertedAt, publishedAt
  • slug, teaser, locales
  • company.name, company.logoUrls
  • categories, mergedProperties
  • Additional GraphQL __typename and node details (e.g., brand, colors, images).

Example output snippet:

{
  "__typename": "ProductEdge",
  "node": {
    "id": 22512233,
    "brand": { "name": "Name It" },
    "images": [ { "urls": ["https://...jpg"] } ]
  }
}

Related Actors

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try Fashion United Marketplace Scraper now on Apify. Free tier available with no credit card required.

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Actor Information

Developer
newbs
Pricing
Paid
Total Runs
915
Active Users
20
Apify Platform

Apify provides a cloud platform for web scraping, data extraction, and automation. Build and run web scrapers in the cloud.

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