Get your catalogue ready for The Comparator

Prepare a valid hardware product feed, understand validation and mapping results, and keep your offers accurate after they go live.

Start with feed preparation · Submit partner application

1. Before you start

To successfully list your store offers on The Comparator, ensure you have:

• A product catalogue of PC components (GPU, CPU, SSD, RAM, Motherboards)
• Stable product identifiers (GTIN, MPN, or internal SKU)
• Direct product page URLs accessible without login
• Transparent, machine-readable prices in USD
• A dedicated technical contact for feed mapping questions

2. The Onboarding Path

Our onboarding is an assisted technical process:

[1. Prepare] ➔ [2. Submit] ➔ [3. Validate] ➔ [4. Match] ➔ [5. Go Live] ➔ [6. Maintain]

1. Prepare: Format your product data according to our Feed Preparation Guide.
2. Submit: Provide your feed URL via the Partner Application Form.
3. Validate: Our pipeline tests schema validity, price formats, and URL reachability.
4. Match: Offers are matched against our hardware reference database (ref_specs.json).
5. Go Live: Matched offers are published to comparison tables (e.g., “Where to Buy” blocks).
6. Maintain: Automatic daily fetches update prices and stock availability.

3. Onboarding Interfaces

4. Available Documentation Guides

• 📘 Prepare your product feed: Complete reference on required fields (id, title, price, gtin, mpn), title formatting rules, and troubleshooting errors.
• 🛠️ Manage your feed and mapping results: Guide to reading CSV Mapping Reports, resolving Ambiguous items, and submitting corrections.

5. Quick Downloads & Resources

• 📄 Download Sample CSV Feed
• 📄 Download Sample JSON Feed
• 📄 Download Sample Google Merchant XML Feed

Validate your sample files locally:

node scripts/test_sample_feeds.js

6. Current Product Capabilities

• Active Market: United States (USD) only.
• Supported Categories: GPU, CPU, SSD, RAM, Motherboards.
• Unsupported Items: Component bundles (CPU+Mobo combos), PC cases, coolers, and pre-built systems are automatically rejected by our isComboListing ingest filter.
• Integration Model: Assisted onboarding (our team configures data mapping).
• Organic Value Engine: Value Scores and ranking are 100% algorithmic and independent of commercial store agreements.