Comparison · Apify

Apify Alternative

Different models, not competing claims. Apify sells a platform you operate; we run the collection for you.

Apify is a self-serve platform with a marketplace of Actors you run and pay for by usage, plus tooling to build your own. Actowiz is a managed service where we design, run and maintain the collection and deliver validated data. Neither replaces the other, and the right choice depends almost entirely on whether you have engineering capacity to spend on collection.

This comparison is genuinely close to a false choice. If you have engineers who want to own scraping, Apify is a strong platform and a managed service is overhead. If you do not, a platform is a cost centre with a maintenance tail. The interesting question is which of those describes your team.

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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

Apify 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 models work. The question is which shape of product matches how your team is set up and what it is trying to protect.

Choose them when

Apify is the better fit if…

You have engineers with capacity who want to own the collection layer
You need to iterate fast on many small experiments rather than run stable production pipelines
An existing Actor already does exactly what you need, in which case it is faster and cheaper than any managed build
You want to build and possibly monetise your own scrapers on a platform
Usage-based pricing suits genuinely spiky, unpredictable demand better than a retainer
Full control over the collection code matters for your architecture or your audit requirements

Choose us when

Actowiz is the better fit if…

Your engineers have better things to build than scrapers, and source maintenance keeps interrupting them
You need production reliability with someone contractually accountable when a site changes
You need validated data in your own schema rather than whatever an Actor emits
Finance needs a predictable monthly figure rather than usage that varies with site difficulty
Your data protection review needs a source-by-source methodology document
Your sources are awkward or regional and no Actor exists for them

Being straight about it

Where we are honestly the wrong choice

Every vendor comparison page is written by the vendor. Ours included. So here is the list we would rather you read now than discover in month three.

Do not buy from us if any of these apply

You have the engineering capacity and want to own it. Then a platform is the right purchase and a managed service is a layer you do not need.
An Actor already does your job. Paying us to rebuild something that exists and works is waste.
You need to run fifty short experiments this month. Our engagement model is built for stable pipelines, not rapid iteration, and usage-based pricing genuinely suits that pattern better.
You want to start in the next hour. We scope with a call first.
You want to write and control the extraction code yourself. We deliver data, not code you operate.

Detail

Point-by-point comparison

Focused on what differs operationally rather than on feature counts, since feature lists rarely predict whether a data feed still works in month eight.

Apify versus Actowiz managed service — operational comparison
Consideration	Apify	Actowiz managed service
What you buy	A platform, plus Actors from a marketplace, run by you	A managed engagement where we run the collection
Who maintains it	You, or the Actor author, when a site changes	Us. Source breakage is triaged the same business day
Pricing model	Usage-based — compute units, proxy usage, storage	Fixed monthly retainer sized to scope, no per-request metering
Time to first data	Minutes if a suitable Actor exists	24 hours for a pilot, 5–10 business days for production
Data validation	Yours to implement	Schema validation plus sampled human QA on every run, included
Schema	Whatever the Actor produces	Yours — your field names, units and join keys
Compliance documentation	Platform terms; the use case is yours to assess	Written methodology per source plus DPA before signature
Cost predictability	Varies with usage and site difficulty	Fixed monthly figure regardless of volume within scope

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

Not a sales process. A method for reaching a decision you can defend internally, including a decision not to change anything.

Tell us what your Actors currently collect
Sources, fields and volumes. We work from the specification, not from your Apify account.
We classify feasibility and flag what not to move
If an Actor is working well and cheaply, we will say leave it. Most migrations here are partial rather than wholesale.
Pilot on the sources that are actually costing you time
Usually the ones that break most often. Real output in 24 hours in your schema.
Keep the platform for experiments
Many clients run both: managed pipelines for production sources, a platform for exploration. That is a sensible architecture, not a compromise.

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 inside two business days
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.

No — they solve different problems, and the honest answer depends on your engineering capacity. If you have engineers who want to own collection, a platform gives you control and we would be overhead.

Managed services earn their cost when scraper maintenance is interrupting work your team should be doing, or when you need someone contractually accountable for a pipeline in production.

Platform usage is cheaper at low volume and on easy sources. It gets less predictable as sources get harder, because difficulty drives compute and proxy consumption, and hardest sources are usually the ones you most need.

Our retainer is a fixed figure regardless of volume within scope. Whether that is cheaper depends on your mix, but it is predictable, which is a different kind of value from cheap.

Yes, and plenty of clients do. Managed pipelines for the production sources that must not break, a platform for exploration and one-off experiments.

That is a sensible architecture rather than a compromise. We would rather you keep a platform for what it does well than migrate everything and end up paying us for exploratory work we are slower at.

On our side, source breakage is triaged the same business day and fixing it is included in the retainer — you do not get an invoice for maintenance.

On a platform, that work is yours or the Actor author's, and how quickly it happens depends on their attention. Neither is wrong; it is a question of where you want that responsibility to sit.

No. We deliver data, not code you operate. If owning the code matters to you architecturally or for audit, that is a real requirement and a platform serves it better.

What we do provide on request is handover documentation — collection design, source-by-source method, schema definition and known limits — plus full historical export with no exit fee.

We include schema validation and sampled human QA on every run, and coverage is reported per batch. On a platform, validation is yours to implement, which is not a criticism — it is what a platform is.

The practical difference: our failure mode is a flagged gap you are told about. An unvalidated pipeline's failure mode is silently wrong data that looks fine, which is considerably more expensive to discover later.

Hear It Directly from Our Clients

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

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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.

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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

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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