ASOS Fashion Catalog & Discount Scraper
Pricing
from $1.40 / 1,000 item scrapeds
ASOS Fashion Catalog & Discount Scraper
Extract full ASOS apparel and footwear catalogs, current pricing, original RRP, discount percentages, brand names, product variants, and stock status.
Pricing
from $1.40 / 1,000 item scrapeds
Rating
0.0
(0)
Developer
LiteZero
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
11 hours ago
Last modified
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🚀 ASOS Global Fast-Fashion Product Catalog, Prices & Discount Extractor
Production-grade, high-speed data extraction tool for extracting real-time structured data from Asos Fashion Products. Designed specifically for B2B data teams, automated workflows, and LLM/RAG pipelines with Pay-Per-Result (PPR) pricing and Free Platform Usage.
🥊 Why This Actor Beats the Competition
| Feature | ⚡ This Actor (asos-fashion-products-scraper) | 🐌 Legacy Scrapers |
|---|---|---|
| Pricing Model | Pay-Per-Result ($2.00/1k) | Heavy monthly rental or surprise compute charges |
| Platform Compute | 100% FREE (Bundled in PPR) | Buyer pays for compute hours & memory |
| Speed | Sub-second direct HTTP (200+ items/sec) | 5–15 seconds per page via heavy Puppeteer |
| Anti-Bot Resilience | Native browser fingerprint spoofing | Frequent 403 blocks and IP bans |
| Volume Discounts | 10% Bronze / 20% Silver / 30% Gold | Fixed high price across all tiers |
| Setup Friction | Zero auth or external API key required | Requires complicated API registration |
🛠️ How to Use
Method 1: Apify Web Console (No-Code GUI)
- Navigate to the Actor page on the Apify Console.
- Enter your target
Search Term or Clothing Categoryand setMaximum Results Count. - Click Start and download your dataset in JSON, CSV, Excel, or XML format.
Method 2: Python SDK
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run_input = {"searchTerm": "oversized hoodie","maxItems": 50}run = client.actor("litezero/asos-fashion-products-scraper").call(run_input=run_input)for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
Method 3: Node.js SDK
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const run = await client.actor('litezero/asos-fashion-products-scraper').call({searchTerm: 'oversized hoodie',maxItems: 50,});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);
Method 4: REST API (cURL)
curl -X POST "https://api.apify.com/v2/acts/litezero~asos-fashion-products-scraper/runs?token=YOUR_APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"searchTerm": "oversized hoodie", "maxItems": 20}'
📥 Input Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
searchTerm | String | Yes | "oversized hoodie" | Search keyword or category (e.g. 'oversized hoodie', 'denim jacket', 'sneakers', 'summer dress'). |
maxItems | Integer | No | 20 | Maximum number of records to extract (1 to 1000). |
proxyConfiguration | Object | No | None | Optional proxy settings. |
📤 Output Data Dictionary & Sample JSON
Every extracted record includes complete metadata and conforms to the following schema:
{"productId": "204891823","name": "ASOS DESIGN heavyweight oversized hoodie in washed black","brand": "ASOS DESIGN","url": "https://www.asos.com/asos-design/heavyweight-oversized-hoodie/prd/204891823","currentPrice": 38.0,"previousPrice": 55.0,"discountPercent": 31,"currency": "USD","colour": "Washed Black","inStock": true,"gender": "Men","imageUrl": "https://images.asos-media.com/products/204891823-1-washedblack.jpg","scrapedAt": "2026-10-05T21:00:00.000Z"}
💡 Top Commercial Use Cases
- Market & Competitor Intelligence: Benchmark pricing, ratings, and customer sentiment continuously.
- B2B Lead Generation & Outreach: Enrich your CRM with verified profiles, addresses, and contacts.
- AI & RAG Vector Pipelines: Ingest fresh, structured domain data into enterprise LLMs and vector stores.
Maintained under Apify Creator Account litezero. Built in full compliance with the Apify Store quality guidelines.