ASOS Fashion Catalog & Discount Scraper avatar

ASOS Fashion Catalog & Discount Scraper

Pricing

from $1.40 / 1,000 item scrapeds

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ASOS Fashion Catalog & Discount Scraper

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

LiteZero

Maintained by Community

Actor 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 ModelPay-Per-Result ($2.00/1k)Heavy monthly rental or surprise compute charges
Platform Compute100% FREE (Bundled in PPR)Buyer pays for compute hours & memory
SpeedSub-second direct HTTP (200+ items/sec)5–15 seconds per page via heavy Puppeteer
Anti-Bot ResilienceNative browser fingerprint spoofingFrequent 403 blocks and IP bans
Volume Discounts10% Bronze / 20% Silver / 30% GoldFixed high price across all tiers
Setup FrictionZero auth or external API key requiredRequires complicated API registration

🛠️ How to Use

Method 1: Apify Web Console (No-Code GUI)

  1. Navigate to the Actor page on the Apify Console.
  2. Enter your target Search Term or Clothing Category and set Maximum Results Count.
  3. Click Start and download your dataset in JSON, CSV, Excel, or XML format.

Method 2: Python SDK

from apify_client import ApifyClient
client = 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

ParameterTypeRequiredDefaultDescription
searchTermStringYes"oversized hoodie"Search keyword or category (e.g. 'oversized hoodie', 'denim jacket', 'sneakers', 'summer dress').
maxItemsIntegerNo20Maximum number of records to extract (1 to 1000).
proxyConfigurationObjectNoNoneOptional 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

  1. Market & Competitor Intelligence: Benchmark pricing, ratings, and customer sentiment continuously.
  2. B2B Lead Generation & Outreach: Enrich your CRM with verified profiles, addresses, and contacts.
  3. 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.