A small team that takes responsibility for your data.
Pyronets builds and runs web data pipelines for teams who need structured records on a schedule. We're a four-person team based in Pakistan, working with clients worldwide, and we stay accountable for every pipeline after it goes live.
No account layer. These are the people who do the work.
- Syed WajehLarge-scale extraction architecture
- Syed ZaryabExtraction architecture
- Syed ZaeemPipeline development
- Syed DaniyalMonitoring
Most teams don't want a scraper. They want the data to be there.
Almost every project we take on starts the same way. Someone built a scraper because they needed a dataset. It worked. Then a site changed its layout, a field went missing, and nobody noticed until a number looked wrong downstream.
The building was never the hard part. The hard part is that the web keeps moving, and something has to move with it. That ongoing work rarely belongs on a product team's roadmap, but it doesn't stop being necessary just because nobody wants to own it.
That ownership is what we sell. Not access to a tool, not a one-time export. We agree a schema with you, build the extraction, validate every batch, and stay responsible when a source shifts underneath it.
Validation rules per delivery
Delivery targets supported
Fastest refresh interval
Maintenance handled by us
The commitments we'd want from a vendor.
These aren't aspirations. They're the terms we work under, and they're fair to hold us to from the first call.
Say what's true about the data
If coverage on a source is 87%, we tell you it's 87% and why. Overstating quality buys one delivery and loses the account. Every batch ships with the numbers attached so you never have to take our word for it.
Take on what we can do properly
We turn down work that doesn't fit, sources we can't collect reliably, timelines we can't meet, requests that cross lines we won't cross. A clear no early is worth more to you than a yes that unravels.
Own it after it ships
The delivery isn't the finish line. Sources change, layouts move, fields disappear. Staying responsible for the pipeline after it's live is the actual product. The first delivery is just the start of it.
Keep the client close to the work
You talk to the people writing the extraction logic. No handoffs to an account team who then relay your question back to an engineer three days later.
The people on your project.
Pyronets is deliberately small. That means the person who scopes your dataset is the person who builds it and the person who answers when something needs fixing.
Syed Wajeh
Co-founder & Principal
Wajeh sets how engagements are scoped and stays across delivery on every active project. Independently rated Top Rated on Upwork with 100% job success across 37 contracts and 3,300+ hours.
Large-scale extraction architecture, API reverse engineering, engagement oversight
syed.wajeh@pyronets.comSyed Zaryab
Co-founder & Lead Data Engineer
Zaryab builds the extraction layer, including the sources most vendors decline: protected endpoints, signed requests, and mobile APIs.
Extraction architecture, anti-bot engineering, API reverse engineering
syed.zaryab@pyronets.comSyed Zaeem
Co-founder & Data Engineer
Zaeem builds and maintains the pipelines themselves: turning extracted pages into typed records, writing the validation that guards them, and keeping scheduled delivery on time.
Pipeline development, normalization, validation suite
syed.zaeem@pyronets.comSyed Daniyal
Co-founder & Delivery Support
Daniyal watches pipelines in flight: checking batch reports, flagging coverage drops, and making sure what was promised is what actually arrives.
Monitoring, QA review, client delivery coordination
syed.daniyal@pyronets.com5 years of doing one thing.
Started taking on collection work
Pyronets began with individual extraction projects. One dataset, one client, one schema at a time. The pattern that kept repeating: teams didn't want a scraping tool, they wanted the records to simply arrive.
Moved from projects to pipelines
One-off deliveries turned into recurring ones. That shift forced everything that matters now: monitoring, drift detection, and a validation suite that runs before anything leaves our side.
Standardized how we scope and validate
Schema agreed in writing before extraction starts. A sample from the real sources before any commitment. A QA report attached to every batch. The parts that used to be judgement calls became process.
Managed pipelines, end to end
A four-person team handling scoping, extraction, validation, and delivery for teams who need data they can build on, and who'd rather not staff for it themselves.
What we are, and what we aren't.
What you can hold us to.
You talk to the people building it
No account layer between you and the engineers. The person who scoped your schema is the person who fixes it when a source changes.
We tell you when something won't work
If a source is unreliable, a field isn't consistently available, or a request isn't something we'll take on, you hear it during scoping, not after an invoice.
Small on purpose
A four-person team means every project gets senior attention. We take on work we can do properly rather than filling a pipeline.
The maintenance is the commitment
Anyone can deliver a dataset once. We stay responsible for it: monitoring sources, catching drift, and repairing extraction before it reaches you.
Talk to the people who'd build it.
Tell us the sources and the fields you need. You'll get an honest read on feasibility, a proposed schema, and a sample from your actual sources.
No retainer required to find out whether your sources are feasible.