Heads Up For Tails Catalog Scraper

The HUFT Catalog Problem

Pet-product catalogs often expose the same parent item across pack sizes and variants. Manual checks miss which list or promo price belongs to which pack, so assortment and pricing reviews start from incomplete or mismatched rows.

Promotions and availability drift between visits. A discount label or stock signal copied in the morning may not match the public listing when merchandising or intelligence teams review it later.

One-off scripts break when listing layouts or variant controls change. A managed workflow keeps agreed fields, validation notes, and delivery rules visible so collection stays maintainable instead of becoming a silent engineering burden.

Sample Output

Review an illustrative parent product record with a variants array, pack-level pricing placeholders, availability, source URL, and collection timestamp. Flat rows below show the same structure for spreadsheet-style review.

Illustrative example.

This structure is illustrative. It does not represent a live extract or guaranteed field coverage for every engagement.

{
  "product_name": "EXAMPLE Pet Food",
  "product_url": "https://example-public-catalog.example/product/EXAMPLE-HUFT-1001",
  "brand": "EXAMPLE Brand",
  "category": "EXAMPLE Category",
  "variants": [
    {
      "pack_size": "EXAMPLE 1 kg",
      "list_price": null,
      "promo_price": null,
      "availability": "EXAMPLE In stock"
    },
    {
      "pack_size": "EXAMPLE 5 kg",
      "list_price": null,
      "promo_price": null,
      "availability": null
    }
  ],
  "source_url": "https://example-public-catalog.example/product/EXAMPLE-HUFT-1001",
  "collected_at": "YYYY-MM-DDTHH:mm:ssZ",
  "notes": {
    "observed": "EXAMPLE fields as shown on the public listing",
    "normalized": "EXAMPLE pack labels standardized for comparison"
  }
}

Observed fields reflect values as shown on the scoped public listing. Normalized notes describe optional packaging for comparison and must remain distinguishable from source observations. Blank or unavailable values are not treated as collection failures unless validation rules mark them as errors.

Scoping checklist

• Representative public URLs shared during scoping
• Public product and listing fields mapped to the agreed schema
• Variant and pack-size association aligned with parent records
• Promotion and availability signals marked observed versus normalized where applicable
• Refresh cadence agreed with volume and maintenance needs
• Delivery format and destination agreed for the engagement

Use Cases

How It Works

The delivery pattern aligns with how Nenodata works across managed ecommerce catalog-data engagements.

1. 1

   Step 1

   Share Requirements

   Provide representative public URLs or categories, required product and variant fields, intended use, refresh need, and preferred delivery destination.

2. 2

   Step 2

   Review Source Feasibility

   Nenodata reviews source feasibility, maps the agreed schema, and prepares a representative sample for approval before broader collection begins.

3. 3

   Step 3

   Collect, Structure, and Validate

   Approved pages are collected and structured into the agreed schema with validation rules that keep missing values and exceptions visible.

4. 4

   Step 4

   Deliver and Maintain

   Validated outputs are delivered once or on a recurring schedule through formats and destinations confirmed during scoping, with maintenance only where agreed.

Delivery and Integration Options

Delivery formats and destinations are agreed during scoping. Options remain subject to confirmation and are not presented as automatically available for every engagement.

Review view pricing before confirming scope. Named connectors and fixed schedules are not promised without destination and cadence confirmation.