Case Study — Live Events & Ticketing

Watching four different ticketing platforms for the moment a seat opens up

Seat and ticket availability changes by the second, and every vendor exposes it in a different shape. This is the pattern behind a system built to track it anyway.

The problem

For anyone managing inventory, reselling, or simply trying to catch a release the moment it happens, ticket availability is the whole game — and it's scattered across incompatible systems. AXS, Ticketmaster, TF and evenue-powered venues each expose seat and ticket data through their own page structure, their own request format, and their own session requirements. Checking by hand, across more than a handful of events, stops working almost immediately.

What was built

A dedicated puller per vendor — each platform's seat-map or event-search response parsed on its own terms — feeding into one normalized availability format instead of four incompatible ones. Polling ran on a schedule tight enough to catch real changes without tripping rate limits, with JSON/XML parsing tuned to each vendor's actual response shape: seat maps, price tiers, section-level inventory.

Vendorsites AXS · Ticketmaster · TF · evenue Per-vendorpuller session + auth handling Normalizedstore one shape, four sources Alerts /feed availability signal out

Why this is the hard part

Pulling data once is easy. Keeping four independently-changing platforms working at the same time is the actual engineering problem — each vendor updates its own structure on its own schedule, has its own anti-bot posture, and fails in its own way. A monitoring system like this is only useful if it surfaces when a vendor's structure has drifted, rather than silently going stale. That's the same discipline behind Monitoring & Support as a standing service, not just a one-off build.

Where this pattern generalizes: watching several external systems for a change worth acting on — availability, price, stock level, compliance status — is the same shape of problem regardless of industry. See also: multi-distributor parts catalog aggregation and real estate listing aggregation.

Got something like this running by hand?

Watching several external platforms for a change worth acting on — availability, stock, price, status — is the same underlying problem no matter the industry. A Workflow Assessment is the fastest way to scope it for yours.

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