Data Feed

The feed's syntax defines how data is organized for machine parsing. Common formats include:

• XML: Highly structured with custom tags, often used for product feeds (e.g., Google Shopping).
• CSV: Simple, tabular format ideal for bulk data with a flat structure.
• JSON: Lightweight and nested, preferred by modern APIs and headless architectures.
• TSV: Tab-separated variant of CSV, useful when data fields contain commas. The choice of format directly impacts parsing speed and the ability to represent complex, hierarchical relationships.

Every record in a feed must have a persistent, unique key, such as a SKU, Product ID, or UUID. This identifier is the anchor for all operations:

• Deduplication: Prevents creating duplicate landing pages for the same item.
• Updates: Allows the system to match incoming data to an existing record and modify it rather than creating a new one.
• Cross-Referencing: Links the same entity across multiple feeds (e.g., inventory feed and pricing feed). Without a stable ID, automated content becomes inconsistent and unmanageable.

Data is organized into discrete fields (attributes) and their corresponding data (values). For a programmatic landing page, these map directly to on-page elements:

• title: "Professional Grade Cordless Drill"
• price: "149.99"
• currency: "USD"
• image_link: "https://cdn.example.com/img/drill-main.jpg"
• availability: "in_stock" A well-defined schema ensures the template engine can reliably populate title tags, meta descriptions, H1 headings, and product descriptions without manual intervention.

Feeds are delivered via two primary strategies:

• Full Refresh: The entire dataset is sent in every file, completely replacing the previous version. Simple but bandwidth-intensive for large catalogs.
• Delta/Incremental: Only records that have changed since the last update are transmitted. This requires a reliable change-detection mechanism, often a last-modified timestamp. Efficient delta processing is critical for maintaining content freshness at scale without overwhelming the ingestion pipeline.

A robust feed system doesn't just ingest data; it enforces a contract. Validation rules include:

• Required Field Checks: Rejecting records missing a title or id.
• Data Type Enforcement: Ensuring a price field contains a valid float, not arbitrary text.
• Enumeration Constraints: Verifying availability is one of in_stock, out_of_stock, or preorder. Invalid records should be quarantined for review, not silently published, to maintain content quality guardrails and prevent broken user experiences.

The mechanism by which the feed is transferred is as important as its content. Standard protocols include:

• SFTP (SSH File Transfer Protocol): Secure, batch-oriented file transfer, common in enterprise legacy systems.
• HTTP/HTTPS Fetch: The consuming system pulls the file from a specified URL on a schedule.
• API Webhook: A push-based model where the source system sends data in real-time as events occur. The protocol determines the latency of content updates, from near-real-time personalization to daily batch refreshes.