20 million listings a day, every day, for two years.
Scaling Daily Ticket Marketplace Data Collection for a Global Ticket Intelligence Platform
Overview
What the client needed — and what we run today.
A global ticket intelligence platform needed a complete, daily picture of one of the largest online ticket marketplaces — tens of millions of listings across thousands of events, refreshed every single day. We engineered and now operate the large-scale extraction pipeline behind it. For more than two years it has delivered roughly 20 million ticket listings daily, adapting continuously as the marketplace evolves.
- Industry
- Ticket Marketplace
- Service
- Enterprise Web Data Extraction
- Duration
- 2+ years, ongoing
- Status
- Live in production
The challenge
Complete daily coverage of a marketplace built to resist it.
The client depended on fresh marketplace data every day — but this particular marketplace made complete, daily collection exceptionally demanding.
An extremely large dataset
Roughly 40 million ticket listings spread across thousands of events — a complete daily snapshot at a scale few pipelines are built to handle.
Very little data per request
Unlike marketplaces that return hundreds or thousands of listings at once, this platform surfaced only a small number per request — multiplying the work of building a full dataset.
Millions of requests every day
That sparse response pattern meant a complete daily dataset required millions of individual requests, coordinated reliably and at pace.
A source that never stops changing
The marketplace evolved continuously — structure, behaviour and presentation all shifting over time in ways that can silently break a naive collection process.
Evolving anti-automation protections
The platform's protections against automated traffic advanced over the life of the project, requiring the approach to evolve with them rather than remain static.
High accuracy, every day
Downstream analytics depended on the data being not just fresh but complete and correct — leaving no room for silent gaps or drift.
Our approach
Engineered for scale, built to be maintained.
We treated this as a long-term engineering commitment, not a one-off scrape. The goal was a pipeline that stays complete, accurate and reliable as the marketplace changes — described here by what it achieves, never how it works internally.
A scalable extraction pipeline
We engineered a pipeline built to operate at the scale of millions of coordinated requests a day, so a complete daily dataset is assembled dependably rather than heroically.
Continuous source monitoring
We monitor the marketplace continuously, so change is detected early — before it can quietly erode coverage or accuracy.
Adaptive engineering
When the platform's architecture and behaviour evolved, we redesigned the collection workflow to maintain complete data coverage — repeatedly, over years.
Resilience by design
The pipeline is built to absorb transient failures and recover, so a hiccup at the source is a non-event rather than a missed day of data.
Automated validation
Every daily run is validated for completeness and accuracy, so problems surface as alerts to us — not as bad data reaching the client.
Continuous maintenance
The pipeline is actively maintained as an operated service, which is why delivery has continued cleanly for more than two years and counting.
Results
Two years of complete, daily delivery.
The result is a data feed the client can build on with confidence — complete, accurate and delivered every single day, at a scale that has held steady for years.
Business impact
From a data problem to a durable advantage.
Reliable marketplace intelligence turned a daily data problem into a durable competitive advantage for the client.
Full inventory visibility
A complete daily view of marketplace inventory across thousands of events — the foundation everything else is built on.
Real market monitoring
Consistent daily data lets the client track market activity and movement over time, not just a single point in time.
Stronger downstream analytics
Clean, complete inputs make the client's own analytics and products sharper and more trustworthy.
Far less manual effort
By owning the collection and maintenance, we removed an enormous operational burden from the client's team.
Consistent daily visibility
The same complete picture arrives every day, so decisions rest on dependable data rather than best guesses.
Confidence at scale
A feed proven at tens of millions of listings a day gives the client room to grow without re-architecting their data.
Timeline
From first scope to two years in production.
- DiscoverProject start
Scoping the challenge
We mapped the exact data, coverage and daily freshness the client needed, and assessed what a complete daily dataset would truly require.
- BuildEarly months
Engineering the pipeline & first delivery
We built a scalable extraction pipeline and began delivering marketplace data, validated for completeness from day one.
- ScaleRamp-up
Reaching full daily coverage
We scaled the pipeline to the millions of daily requests needed for a complete snapshot, stabilising delivery at tens of millions of listings a day.
- AdaptOver the years
Redesigning as the platform evolved
As the marketplace changed its architecture, behaviour and protections, we repeatedly evolved the collection workflow to maintain complete coverage.
- Operate2+ years — ongoing
Continuous production operation
The pipeline runs as a monitored, maintained service today, still delivering ~20 million listings daily with no sign of stopping.
“Placeholder — a client testimonial will appear here once approved. It will speak to the reliability of daily delivery and the impact of complete marketplace visibility on the client's business.”
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