ScrapingBuddy
About

22 people. 43 pipelines that can’t go down.

ScrapingBuddy was founded in 2024 and works out of Bangladesh. We build the extraction other teams give up on, then keep it running as the sources change underneath it.

2024
founded
22
people
7
clients
43
pipelines running

What we do

We make difficult data dependable.

Most valuable data lives behind the hardest sources — protected sites, mobile apps, constantly-changing platforms and enormous volumes. Ordinary tools break on them. We don’t.

We reverse-engineer the real path to the data, operate it as a monitored, maintained pipeline, and deliver it in the shape your systems expect — reliably, at scale, and for the long term.

Who builds it

Twenty-two people in Bangladesh.

We keep the work close to the people who understand it — every pipeline has an engineer who knows why it was built that way.

MD. Rejwan Habib

MD. Rejwan Habib

Founder

Arman Bahadur

Arman Bahadur

Head of Marketing

Sariful Islam

Sariful Islam

CTO – Platform & Deep Tech

Rokib Hasan

Rokib Hasan

Head of Manual Department

Where we draw the line

The first question, answered first.

Every engagement starts with what a source permits. We work on publicly available data, and on accounts and applications you are entitled to reach — never on access you do not have.

We respect each source’s terms and the load it can carry, pacing collection to stay within what a site tolerates rather than taking everything we technically could.

If a source cannot be collected properly, we say so at the feasibility stage instead of taking the project. An honest no is worth more to you than a pipeline that becomes your problem.

Read our full position on the legality of web scraping

How we work

The principles behind every pipeline.

Engineering first

We treat data extraction as a serious engineering discipline, not a throwaway script. Hard sources are problems to solve — deliberately, and properly.

Judged on month twelve, not day one

Anyone can get one successful run. Forty-three pipelines running continuously means the measure is whether data still arrives long after launch, accurate and on schedule.

Close to the work

Twenty-two people, seven clients, forty-three pipelines running continuously. We take on the work we can keep alive — every pipeline we sign for is one we intend to still be maintaining a year from now.

Let's talk about your data.

Bring us the source that keeps failing, or the data you've struggled to collect reliably. We'll give you an honest read on whether we can reach it — and how we'd keep it dependable.