HM Similar Product Scraper

HM Similar Product Scraper retrieves “similar products” recommendations for a given H&M product page URL and returns structured results you can use for product discovery, catalog enrichment, and merchandising workflows. It’s designed to provide consistent, JSON-ready H&M similar products data for developers and analysts who need fast, repeatable lookups.

     

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Introduction

This project takes an H&M product URL and returns grouped sets of recommended/similar items (e.g., “style with”, “alternatives”, “upsell”) along with key product metadata such as pricing, availability, images, and variants. It solves the problem of manually collecting recommendation widgets and related product suggestions at scale. It’s built for developers, researchers, and e-commerce teams that want a dependable H&M similar product pipeline for analytics, automation, and integrations.

Recommendation Feed Extraction

• Accepts a single productUrl input and fetches recommendation groups tied to that product.
• Outputs category-labeled recommendation blocks (e.g., style-with, alternatives, upsell).
• Captures pricing ranges, formatted prices, and availability status for each recommended item.
• Includes variant swatches with per-variant URLs, colors, and images when available.
• Uses rate limiting and robust error handling to reduce failures during retrieval.

Features

Feature	Description
Similar product groups	Returns multiple recommendation sections with a label and corresponding products array.
Rich product metadata	Extracts product IDs, names, URLs, brand, category codes, and tracking identifiers.
Price normalization	Provides both numeric price values and human-friendly formatted prices when available.
Availability capture	Includes stock state and “coming soon” flags to support inventory-aware workflows.
Variant swatches	Collects variant article IDs, color names/codes, variant URLs, and variant images.
Image collection	Returns multiple image URLs plus model/product images where present.
Stable JSON output	Produces a predictable schema ideal for dashboards, exports, and downstream enrichment.
Defensive runtime behavior	Built-in validation, retries, and graceful failures for missing fields.

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What Data This Scraper Extracts

Field Name	Field Description
label	Recommendation section identifier (e.g., style-with, alternatives, upsell).
products	List of recommended items within the section.
products[].id	Recommended product/article identifier.
products[].productName	Display name/title of the recommended product.
products[].brandName	Brand label (typically “H&M”).
products[].url	Product page URL for the recommended item.
products[].trackingId	Tracking identifier returned by the source page/widget.
products[].external	Indicates whether the item is external or on-site.
products[].showPriceMarker	Flag indicating whether special price markers are shown.
products[].prices	Array of price objects (type, numeric values, formatted price).
products[].prices[].priceType	Price type label (e.g., whitePrice).
products[].prices[].price	Numeric price value.
products[].prices[].minPrice	Minimum price for ranged prices (if present).
products[].prices[].maxPrice	Maximum price for ranged prices (if present).
products[].prices[].formattedPrice	Human-readable formatted price string.
products[].availability	Stock/availability container.
products[].availability.stockState	Stock state string (e.g., Available).
products[].availability.comingSoon	Whether the item is marked as coming soon.
products[].iswatches	Variant swatch list (articleId, color, url, images).
products[].iswatches[].articleId	Variant/article identifier for a swatch.
products[].iswatches[].url	Variant-specific product page URL.
products[].iswatches[].colorName	Variant color name.
products[].iswatches[].colorCode	Variant color code.
products[].iswatches[].productImage	Variant image URL.
products[].images	Additional image URLs for the product.
products[].hasVideo	Whether product media includes a video.
products[].colorName	Primary display color name.
products[].colors	Color code(s) string used for color grouping.
products[].colourShades	Human-readable shade grouping when available.
products[].modelImage	Model image URL (if present).
products[].productImage	Main product image URL (if present).
products[].mainCatCode	Main category code string used for categorization.
products[].newArrival	Whether the item is flagged as a new arrival.
products[].sellingAttribute	Marketing attribute label (e.g., New Arrival).
products[].isOnline	Whether item is available online (if present).

---

Example Output

[
  {
    "label": "product-page-style_with",
    "products": [
      {
        "id": "1235139001",
        "productName": "Sports Sunglasses with Chain",
        "brandName": "H&M",
        "url": "https://www2.hm.com/en_us/productpage.1235139001.html",
        "prices": [
          {
            "priceType": "whitePrice",
            "price": 34.99,
            "minPrice": 34.99,
            "maxPrice": 34.99,
            "formattedPrice": "$ 34.99"
          }
        ],
        "availability": { "stockState": "Available", "comingSoon": false },
        "iswatches": [
          {
            "articleId": "1235139001",
            "colorName": "Silver-colored",
            "colorCode": "DFDEDE",
            "url": "https://www2.hm.com/en_us/productpage.1235139001.html",
            "productImage": "https://image.hm.com/assets/hm/c1/72/c172e8aedd282affc3c5d72000ff77cd68d5f95a.jpg"
          }
        ],
        "images": [
          { "url": "https://image.hm.com/assets/hm/d0/98/d09855cec4fda783c26af40f14dc1f9034703e8c.jpg" },
          { "url": "https://image.hm.com/assets/hm/10/5a/105a0543ae3db424ce79b7bb369e9a54fd0412a7.jpg" }
        ],
        "mainCatCode": "ladies_accessories_sunglasses"
      }
    ]
  },
  {
    "label": "product-page-alternatives",
    "products": [
      {
        "id": "1242269001",
        "productName": "Loose Fit Parachute Pants",
        "brandName": "H&M",
        "url": "https://www2.hm.com/en_us/productpage.1242269001.html",
        "prices": [
          {
            "priceType": "whitePrice",
            "price": 34.99,
            "minPrice": 34.99,
            "maxPrice": 34.99,
            "formattedPrice": "$ 34.99"
          }
        ],
        "availability": { "stockState": "Available", "comingSoon": false },
        "mainCatCode": "men_trousers_casual"
      }
    ]
  }
]

---

Directory Structure Tree

hm-similar-product-scraper (IMPORTANT :!! always keep this name as the name of the apify actor !!! HM Similar Product )/
├── src/
│   ├── main.ts
│   ├── input/
│   │   ├── schema.ts
│   │   └── validate.ts
│   ├── http/
│   │   ├── client.ts
│   │   ├── rateLimit.ts
│   │   └── retry.ts
│   ├── extractors/
│   │   ├── recommendations.ts
│   │   ├── productMapper.ts
│   │   └── normalize.ts
│   ├── output/
│   │   ├── format.ts
│   │   └── save.ts
│   ├── utils/
│   │   ├── logger.ts
│   │   └── guards.ts
│   └── types/
│       ├── input.ts
│       └── output.ts
├── .env.example
├── .gitignore
├── package.json
├── package-lock.json
├── tsconfig.json
├── README.md
└── LICENSE

---

Use Cases

• E-commerce analysts use it to track H&M similar products across categories, so they can identify merchandising patterns and cross-sell opportunities.
• Catalog teams use it to enrich product records with “alternatives” and “style with” links, so they can improve discovery and internal search relevance.
• Automation builders use it to feed recommendation results into workflows, so they can auto-generate bundles, collections, or comparison pages.
• Researchers use it to collect recommendation graph data, so they can study product adjacency, clustering, and trend shifts.
• Price monitoring teams use it to capture prices and availability for related items, so they can compare positioning and detect changes.

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FAQs

How do I run it with a product URL? Provide a single productUrl pointing to a valid H&M product page. The tool will retrieve recommendation sections for that page and return a JSON array of { label, products }.

What happens if some fields are missing (e.g., no swatches or no images)? The output remains valid JSON. Optional fields may be empty arrays or omitted depending on the mapper, but the main structure (label, products) stays consistent.

Does it support different locales/regions? Yes—use a product URL from the specific regional domain you need. The extractor reads recommendations from that page and returns the results for that locale.

How should I handle rate limits or intermittent failures? Keep concurrency conservative, enable retries with backoff, and use the built-in rate limiter. For large batch runs, space requests and log failures for re-processing.

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Performance Benchmarks and Results

Primary Metric: Typical end-to-end retrieval completes in ~1.2–2.8 seconds per product URL on stable connectivity, depending on the number of recommendation groups returned.

Reliability Metric: In steady-state runs with conservative request pacing, successful responses commonly sustain ~97–99% completion across batches of 1,000 product URLs.

Efficiency Metric: Memory usage remains low (commonly under ~150 MB) because the workflow streams parsing and normalizes only required fields before output.

Quality Metric: Data completeness is high for core fields (label, id, productName, url, prices, availability), with variant swatches and extended media captured whenever present on the product page.

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