Comparison · Grepsr

Grepsr Alternative

The closest comparison on this site, because the model is genuinely similar. The differences are in scoping and in what we refuse.

Grepsr and Actowiz are both managed data extraction services — you describe the sources and fields, they build and run the pipelines, and you receive data rather than code. Because the model is the same, the honest comparison is not about capability but about how scope is agreed, how coverage is reported, and which requests each will decline.

Most comparison pages on this site contrast two different products. This one contrasts two similar ones, which makes it harder to write and more useful to read.

Run a free comparison See the comparison

Free pilot on your own sources, returned in 24 hours. Delivered in your existing schema so you can diff it against what you have today.

The short version

Grepsr and Actowiz are different products, not competing versions of the same one. This page sets out where each one wins, including where we lose. If the honest answer is that you should not use us, it is on this page.

Where we are the wrong choice →

Our Data Powers

B2C Marketplace

amazon

D2C + Marketplace

NYKAA

D2C + Marketplace

Walmart

FMCG Marketplace

udaan

Food Delivery

Uber Eats

Quick Commerce

blinkit

Taxi Aggregator

Uber

E-Commerce

Tmall

Side by side

Which one fits your situation

Both of us sell managed extraction. So the comparison is not capability but how scope is agreed, how coverage is reported, and what each of us declines.

Choose them when

Grepsr is the better fit if…

You have already run a successful project with them and the relationship is working. Switching a working supplier for a marginal difference is rarely worth the transition cost, and we would say the same about ourselves.
Their pricing structure fits your procurement better. If your finance team needs per-project rather than retainer billing, that is a real constraint and it favours them.
You need a specific source they have already built and can turn on quickly. An existing pipeline beats a new one on time to first data.
Your requirement is a one-off extraction rather than an ongoing feed. Retainer pricing is worse value for a single pull.
Their support timezone matches your team better than ours does.
You have compared written scopes from both and theirs describes your requirement more accurately. That is the correct way to decide and we would rather lose on it than win on a page.

Choose us when

Actowiz is the better fit if…

You want every source classified feasible, partial or not feasible in writing before a quote, so partial coverage is a known quantity rather than a discovery in month two.
You want per-field fill rates in the pilot, not just sample rows. A sample shows the shape; a fill rate shows how often the field is actually populated.
You want a fixed monthly cost that does not move with volume, so your budget is predictable and nobody is incentivised to under-collect.
You need the boundaries stated explicitly — what we will not collect and why — because your legal team will ask and a vague answer costs you weeks.
You want unpublished figures reported as nulls with reason codes rather than modelled, so your analysis knows where the data stops.
You want a documented exit before you sign, including full historical export and no exit fee.

Being straight about it

Where we are honestly the wrong choice

This page is written by us, which is reason enough to be sceptical of it. So here is where Grepsr is the correct purchase and we are not.

Do not buy from us if any of these apply

Your requirement is a single one-off extraction. Retainer pricing is poor value for that and a project-priced supplier serves you better.
You need per-project billing for procurement reasons. We quote monthly retainers and that is not going to change for one engagement.
You need a source they have already built and speed matters more than scoping rigour. An existing pipeline wins on time to first data.
You want a vendor who will say yes to everything. We decline requests — credentialed access, personal data, modelled estimates — and if that is friction rather than reassurance for you, we are a poor match.
Your team wants to own and modify the collection code. Neither of us sells that; a platform does.

Detail

Point-by-point comparison

A like-for-like comparison of two managed services, which means the differences are in discipline rather than in category.

Grepsr versus Actowiz managed service — operational comparison
Consideration	Grepsr	Actowiz managed service
What you buy	Managed extraction, delivered as data	Managed extraction, delivered as data
Model	Same category — this is a like-for-like comparison	Same category
Feasibility	Assessed per project	Every source classified feasible, partial or not feasible in writing before a quote
Coverage	Reported per project	Per-field fill rate and per-source coverage stated before build, not after
Pricing shape	Project and volume based	Fixed monthly retainer, not per request or per record
Personal data	Their policy applies	Never collected or resold. No login-gated content, no credentialed access
Estimates	Their approach applies	We do not model unpublished figures. Nulls with reason codes instead
Exit	Their terms apply	Full historical export, no exit fee, handover documentation

All third-party names and marks are the property of their respective owners. This is our own comparison, is not endorsed by any provider named, and reflects publicly available information as of August 2026. Provider capabilities and pricing change — check their own site for current details, and hold us to the same standard.

Practical next step

How to evaluate this properly, in five steps

A method for reaching a decision you can defend internally, including a decision to change nothing.

Send us the written scope you have, not the data
If you already have a scope document from another supplier, send it. We will mark each source feasible, partial or not feasible and tell you where we disagree with the original assessment. That comparison alone is usually informative.
We pilot on your live sources
Free pilot within 24 hours on your own sources, returning real extraction with per-field fill rates and a coverage note. Not a canned demo file.
Schema matched to what you already receive
If you are switching, we match your existing field names, types and join keys so downstream jobs do not need rewriting. Give us one delivered file and we will mirror it.
Parallel run before you switch
We run alongside your current supplier for an agreed period so you can diff the outputs. If ours is worse on a field, you will see it before you commit rather than after.

The 24-hour sample — run on your sources, not ours

Before you switch anything, we run your existing sources in your existing schema and hand you the output. Compare it against what you have today. If ours is not better on the fields you care about, that is a useful answer and it cost you nothing.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Service commitments

What we commit to, in writing

Contractual, not marketing copy. These appear in the engagement document.

Service level commitments written into every managed engagement
Commitment	What we hold ourselves to
Pilot turnaround	A real sample from your own sources within 24 hours of scoping, at no cost.
Go-live	Production collection running within 5–10 business days of sign-off.
Delivery punctuality	99.5% on-schedule delivery, measured monthly and reported to you.
Breakage response	Source layout changes triaged same business day; critical sources inside 4 hours.
Data quality	Schema validation on every run plus sampled human QA before any delivery leaves us.
Escalation	A named engineer and an account owner, not a shared ticket queue.
Change requests	Field additions and source changes handled inside the retainer, not re-quoted.
Exit	Your historical data exported in full on request. No lock-in, no export fee.

Why teams pick Actowiz for this work

Engineers, not a dashboard. You get people who fix breakages, not a self-serve tool you maintain yourself.
We tell you what we can't do. Scope limits and coverage gaps are stated before you sign, not discovered in month three.
QA is part of the service. Schema validation and sampled human review run before delivery, every run.
Compliance is documented. Sources, method and lawful basis written down so your legal team can review them.
Fixed monthly cost. No per-request metering, no surprise overage on a month when a competitor adds SKUs.
Six years, 40+ countries. Long-running production pipelines across retail, travel, mobility and finance.

FAQ

Frequently asked questions

The questions that come up when teams are comparing options.

From what is publicly visible, they operate the same managed model we do and have done so for a long time. We are not going to claim otherwise, because it would make everything else on this page less credible.

The useful comparison is not capability but process: how scope is agreed, how coverage is reported before build, and which requests get declined. Ask both of us for a written scope on the same sources and compare them.

Because the model is genuinely similar. Comparing a managed service to a proxy provider or a no-code tool is easy — they are different products. Comparing two managed services means the differences are in discipline rather than in category.

That is also why we point you at comparing written scopes rather than reading marketing pages, including this one.

Three things we can state precisely. Every source classified feasible, partial or not feasible in writing before we quote. Per-field fill rates in the pilot rather than sample rows only. And a fixed monthly retainer rather than volume-linked pricing, so nobody has an incentive to under-collect.

Whether those matter to you depends on how much your last data project was derailed by discovering partial coverage late.

Yes, and we would run in parallel first. Send us one delivered file, we mirror the schema, and we run alongside for an agreed period so you can diff outputs field by field.

If ours is worse on a field, you see it before switching. Migrating a data feed on a vendor's assurance rather than on a diff is how teams end up with silent gaps.

We do not compete on being cheapest and we would not claim to be. We quote a fixed monthly retainer scoped to your sources, volumes and frequency.

What we do commit to is that the number does not move with volume, so a spike in records collected does not become a spike in invoice. Vendors who price per record have an interest in that number, and we would rather not have one.

We will tell you plainly and say why. The usual cases are credentialed access, personal data, and modelled figures where nothing is published.

If another supplier says yes to those, that is worth weighing rather than dismissing — but ask them how the modelled figure is produced and whether the output is labelled as an estimate. The answer tends to be clarifying.

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

▶

1 min

★★★★★

"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

▶

2 min

★★★★★

"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."

Iulen Ibanez

CEO / Datacy.es

▶

1:30

★★★★★

"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."

Febbin Chacko

-Fin, Small Business Owner