Data Provisioning & Extraction

Engineered feeds to capture high-value public and proprietary datasets at scale

Custom crawlers, API ingestion, and legacy file processing, built and maintained so your team never has to babysit a scraper again.

Server racks and network cabling in a data center

We run the feeds so your team doesn’t have to

Every data team has a graveyard of scrapers that broke, API integrations nobody maintains, and a folder of legacy files someone will “get to eventually.” Clatani takes over that entire surface: we build the crawlers, maintain the API connections, process the unstructured backlog, and monitor every feed around the clock, so a source-side change becomes our problem, not yours.

Ownership is what makes it work. Every feed we build has one named engineer responsible for it and documented failure modes, and every run is validated automatically. When something breaks, the alert goes to your distribution list at the same time it reaches us, so nobody on your side finds out three weeks later from a stale dashboard. Then you hear from the person already fixing it, not a ticket number.

Industry insight
90%

Most of the world’s data didn’t exist two years ago

Data volume compounds so fast that the majority of everything ever recorded was created in just the last couple of years. Capture infrastructure that had to be hand-maintained was obsolete before it shipped, which is why our feeds are engineered to absorb change, not break on it.

Industry estimate, based on widely cited research.

Four ways we capture data

Whatever shape the source takes, we engineer a feed that never needs babysitting.

01

Public Web Scrape / Custom Crawler

Extracting unstructured or structured data from public-facing websites.

02

Third-Party APIs

Connecting to external data vendor streams or platform endpoints.

03

Unstructured Internal Files

Processing legacy clinical notes, PDF documents, raw text, or images.

04

Structured Internal Databases

Extracting from relational databases, SQL servers, or legacy mainframes.

What happens when a feed breaks

Every extraction pipeline eventually meets a source that changed overnight without telling anyone. What separates vendors is what happens in the hours after. These are the four things we commit to.

Sources
Any shape
REST and SOAP APIs, web portals, SFTP drops, flat files, and legacy databases. If it holds data, we can build a feed off it.
Alerting
Your inbox
Every run is checked for row counts, schema drift, and freshness. Failures alert your distribution list directly, so your team knows the moment ours does.
Break response
Same day
When a source changes shape, you get the diagnosis and a fix window the same business day. One named engineer, not a queue.
Reruns
No charge
If a batch lands wrong on our side, re-processing it is not a line item on your invoice.

Tell us what data you need captured.