Trellee
Engineering

Web scraping

Data extraction at scale, compliant, resilient, and delivered on schedule.

Data
web-scraping/snippet
async def crawl(urls):
    async for page in fetch_all(urls, retries=3):
        yield clean(extract(page))
01 / The problem

Off-the-shelf isn't built for you.

Manually copying data, or relying on a brittle script that breaks every time a site changes, doesn't scale. We build resilient, respectful extraction pipelines that handle the messy reality of the web, structure changes, rate limits, retries, and hand you clean, scheduled data you can actually use.

02 / Our approach

Three principles.
No exceptions.

01

Resilient by design

Retries, monitoring, and alerts so a site tweak doesn't silently break your data.

02

Compliant + respectful

We respect rate limits and terms, and advise you on what's safe to collect.

03

Clean, usable output

Structured, de-duplicated data delivered the way your systems expect it.

04 / Deliverables

What you get.
In writing, by week one.

Source mapping

What we can reliably collect, and how.

Extraction pipeline

A resilient pipeline that runs on its own.

Cleaning + structuring

Normalised, de-duplicated, validated data.

Scheduled delivery

Data delivered as an API or feed, on your schedule.

06 / Questions

The honest answers.

We respect rate limits and terms, and advise you on what's safe to collect before we build.

Pipelines are built with retries, monitoring, and alerts, so changes don't silently break your data.

Clean, structured data delivered as an API or scheduled feed, the way your systems expect.

Engage

Ready to start?

30-minute discovery call. No deck, no sales script. Bring the problem and we'll bring the questions.

Book a discovery call