Services

Automation & Data Engineering

The easy tool stopped working. That's usually when people call us.

Your scraper says it worked. The page it read was blank. Your workflow shows green, but nothing moved. We build the thing that replaces the workaround: scrapers, automations, Chrome extensions, internal tools. You own all of it.

  • 4.6 / 5 across 9 Google reviews
  • The code is yours
  • Lucknow, India
scrape.run retailer.example
  1. startfetching 240 pages
  2. ok240 fetched, 0 errors
  3. okparse complete
  4. writerows written: 0
  5. exit 0run succeeded

Every line here is true. The price moved to a data-price attribute nine hours ago, so the selector matched nothing and the job had nothing to write. Nobody was paged.

The problem

The bugs that cost you money are the quiet ones

Loud bugs get fixed fast. Something times out, someone gets paged, someone fixes it. The costly ones stay quiet. They look exactly like success.

What the dashboard said

Job finished in 24 seconds. 240 pages read. No errors. No retries.

Nobody got an alert. Uptime for the week showed 100%, and that number was correct.

What was true

Overnight, the shop shifted its price into a different bit of code. Our old rule kept looking in the old spot. It found nothing.

Nine days of blank rows went into the pricing table. Nobody noticed until someone opened the file.

Pulling one page with a script? That's a day's work. Turning that script into something your business can lean on is a different job altogether. It isn't about writing cleverer rules. It's about what happens the day the site changes, and whether anyone finds out.

You see the same shape everywhere. An automation that fires twice and makes two invoices. A Chrome extension that quietly dies halfway through a job. An admin panel where adding one field means raising a ticket and waiting.

The question

It isn't did the job run. It's did it save what was really on the page today.

  • Shared tools get blocked

    The site you want has already seen that tool's fingerprint a thousand times this week. Everyone who bought the same subscription is standing in the same queue. You're just one more.

  • Per-credit pricing hurts once you grow

    Cheap at a thousand records a day. At fifty thousand you're paying many times what the same code costs to run yourself. The bill keeps climbing. What each record is worth to you doesn't.

  • Your rules get stuck inside their tool

    Rules built by dragging boxes around can't be read properly, tested, or moved out. Want to switch later? You start again from zero.

How an engagement runs

You see it work before you spend the money

Every build starts with the cheapest question there is. Can this even be done, and what will it cost to keep running? If the answer is no, you hear it in week one. Not in month three.

  1. 1

    We check if it's even possible

    We look at the site or the workflow you already have, then tell you what's in the way, the monthly running cost, and whether you should be building this at all.

    Week 1
  2. 2

    A small piece, on your real data

    One narrow slice, running end to end on your actual target. Real records, not a demo. You see the output before we price the full build.

    Week 2
  3. 3

    The real build

    Retries, sensible speed limits, checks on every row, alerts when things go quiet, and delivery to wherever the data needs to go.

    Typically 3 to 6 weeks
  4. 4

    Handover, and support only if you want it

    Code in your repo. A written guide for your team. Logins in your own accounts. You can keep us on a monthly retainer, but nothing breaks if you don't.

What comes with every build

  • IngressIdempotency key on every write
  • RetryBackoff with jitter, and a ceiling
  • Dead letterFailures queryable, with the error
  • AlertFires on a suspiciously empty run

None of this looks impressive in a demo. It's the difference between an automation you trust on a Monday morning and one someone quietly checks by hand every day without telling anybody.

Where we fit

Three options. Here's when each one wins.

We're the right pick in one column of this table. Reading the other two costs you nothing.

Consideration SaaS platform In-house script Custom build
Time to first result Hours A day or two About two weeks
Cost at 50,000 records a day Grows with every record Infrastructure only Infrastructure only
Survives a defended target Shared fingerprint, often blocked Depends who wrote it Fingerprint matched per target
Who fixes it at 2am Support queue Whoever wrote it, if still employed Retainer, or your team from the runbook
Where the logic lives Inside the vendor's canvas Your repository Your repository

When we tell people not to hire us

Small site, doesn't fight back, and someone on your team writes Python? Then a scheduled script is the honest answer, and we'll say so. Call a studio when the failure has a price tag on it. The data sets your pricing. The workflow touches money. Or nobody has time to check it every morning.

Client feedback

Rated 4.6 out of 5 across 9 Google reviews

Taken straight from the reviews on our main site. We didn't write any of them, and there are only nine.

★★★★★

Very professional. Has thorough knowledge of the WordPress lifecycle and can mould any theme to your requirements. The complete website was developed within a week, follows up continuously, and implements suggestions as soon as possible.

ZeeshanCEO, BridgeVisas
★★★★★

Understands the client's requirement totally. Delivers within timelines at reasonable rates. I had a very urgent requirement to build a new site and the developer made it within the promised time.

KumarCEO, psacas.com
★★★★★

He understands the requirement of the client and gives a patient hearing. The implementation is good too. A great workman-spirited person, and very responsive by nature.

Umra SinghCEO, AGS Impex
Before you call

Questions worth asking us

Including the two we would rather not answer. If a vendor has no uncomfortable question on their own site, you are reading marketing.

How is this different from Zapier, Apify or Octoparse?

For a pilot, or for smaller volumes, those tools are the right answer. We'll tell you that on the call if it's true.

Two things change as you grow. Their servers carry a fingerprint that protected sites have already seen thousands of times this week. And the per-credit bill keeps climbing while each record is worth the same to you as before.

We build the version you run yourself. Your servers, your control, a fixed monthly cost that doesn't move with volume.

Do we own the code?

Yes. It goes into a repo you control, along with the setup config and a written guide. No licence fee, no per-seat charge, nothing of ours you have to keep paying for.

If you stop working with us tomorrow, everything keeps running.

Should we just build this in-house?

Sometimes, yes. Short conversation. If the site is stable, doesn't block anyone, and you already have someone comfortable in Python, a scheduled script will do the job for a fraction of the money.

The case for hiring a studio is about what happens after launch. Fingerprints drift. Retries need thinking about. Alerts have to tell a broken run apart from a genuinely empty one. That's the slow part, and it's the part that gets skipped.

What does a project cost?

Most scoped builds start around ₹10 thousand and go up to a few lakh. It depends on how hard the target fights back and how much of the surrounding system we build. Each service page carries its own band, so you don't have to ask.

Proxies, hosting and browser capacity are billed separately. That way, if a running cost changes, you can see it instead of it hiding inside our margin.

Is scraping legal?

Depends on the data, the country, and the terms attached to the source. We stick to information anyone can see, keep our request rate low enough that we're not slowing the site down, and we don't touch personal data without a lawful reason.

We're engineers, not your lawyers. Anything close to the line, get your counsel to look at it. We'll write down exactly what the pipeline does so they have something real to read.

What do you refuse to take on?

We don't solve CAPTCHAs or get around challenge screens. When a site puts one up, we go looking for a paid feed or an official API instead. If neither exists, we'll tell you the project isn't worth doing rather than sell you something fragile.

Send us the thing that keeps breaking

The scraper. The workflow. The extension. Or the spreadsheet that quietly turned into a system. We'll tell you what it really takes to build properly, and whether it's worth doing at all.

Prefer email? Write to [email protected]