Every request is fingerprinted, scored and challenged before it reaches the data.
Getting through once is a demo. Getting through every day, while the source keeps changing, is the job.
Our investigation process
How every project moves from unknown to reliable.
A repeatable path we follow on every source — from first look to a monitored production pipeline. Each step is about what we achieve, so you can see the discipline without the internals.
- 01
Scope the data
We define exactly which records, fields, coverage and refresh rate the project needs, and shape them into a clean schema before anything is built.
- 02
Find where the data really comes from
We study the source the way a real user experiences it, then trace where its data genuinely originates and how it moves through the application. The rendered page is rarely the best answer.
On Subway this found a way to retrieve many product records per request instead of one — millions of records inside a one-day window.
- 03
Weigh what stands in the way
We identify the defences a source relies on and sort them by type and difficulty, so effort goes where it changes the outcome instead of where it is merely visible.
- 04
Engineer the route
We choose the most stable, maintainable path to the data for that specific source, then build a production pipeline around it, structured to your schema.
McDonald's payloads were so large that parsing every region took days; a rebuilt parser brought the whole run inside a two-day deadline.
- 05
Prove every record, then ship
We verify that records are accurate, complete and de-duplicated before delivery begins, then move the pipeline into a monitored production environment.
- 06
Maintain it as the source changes
Sources get redesigned, tokens expire and protections are upgraded. We watch for drift and repair the pipeline, so a feed that has run for months keeps running.
What we get past
Every obstacle, and what we do about it.
These are the defences that stop ordinary collection, why each one exists, and how we get past it — with the source we did it on, so you can judge the claim rather than take it.
Have a source that keeps breaking?
Tell us the site, app or API and the data you need. We'll tell you honestly whether we can reach it, and how we'd approach it.