Comparison · Zyte

Zyte Alternative

Zyte is strong, technical and API-first. That is a real strength and it is a different purchase from ours.

Zyte provides extraction infrastructure and APIs for technical teams, with a strong engineering reputation and the Scrapy heritage behind it. Actowiz provides a managed engagement where the collection is designed, run and maintained for you. If you have a capable data engineering team, Zyte is a serious option and this page should help you pick honestly.

Zyte earned its reputation technically, and pretending otherwise would make everything else on this page less believable. The question is not which is better built. It is whether you want to operate collection or have it operated.

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

Zyte 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

Zyte is the better fit if…

You have a data engineering team that wants extraction as a component in a system they control
You are already invested in Scrapy and the surrounding tooling
You need extraction at very high volume where per-request economics beat a retainer
Automatic extraction across a long tail of sites suits you better than schemas agreed per source
You want to embed extraction inside a product you ship, where a managed service would be a dependency you cannot expose
Your team would rather debug their own pipeline than file a ticket

Choose us when

Actowiz is the better fit if…

You want data, not a component to integrate — nobody on your side writes or operates collection code
You need output in your own schema with matching to your internal keys included
You want validated data with coverage reported per batch, not raw extraction you QA yourself
Predictable monthly cost matters more than per-request efficiency
Your compliance review needs a source-by-source methodology document rather than platform terms
Your sources are awkward, regional, document-based or otherwise not well served by automatic extraction

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 a strong data engineering team that wants to own the stack. Then Zyte is a better purchase and we would be an unnecessary layer.
You are embedding extraction inside a product you ship. A managed service is a dependency you cannot easily expose to your own customers.
You need extremely high request volume on straightforward pages. Per-request infrastructure economics will beat a managed retainer there.
You want automatic extraction across thousands of unknown domains with no per-source scoping. That is a different product shape and we do not offer it.
You are already productive on Scrapy. Migrating working pipelines to a managed service to solve a problem you do not have is waste.

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.

Zyte versus Actowiz managed service — operational comparison
Consideration	Zyte	Actowiz managed service
What you buy	Extraction APIs and infrastructure you integrate and operate	A managed engagement with collection designed and run for you
Primary buyer	Data engineering teams	Commercial and analytics teams, and engineering teams with no capacity for scraping
Who owns pipeline logic	You, in your codebase	Us, with the schema agreed with you in writing
Pricing model	Usage-based, per request or per successful extraction	Fixed monthly retainer sized to scope, no per-request metering
Maintenance when sites change	Their API absorbs much of it; your integration is yours	Ours entirely, triaged the same business day, included in the retainer
Data validation	Extraction quality is theirs; business validation is yours	Schema validation plus sampled human QA on every run
Schema	Their extraction schema, mapped by you	Yours — field names, units, null conventions and join keys
Compliance documentation	Platform-level; use case assessment is yours	Written methodology per source plus DPA before signature

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.

Send us the specification, not the code
Sources, fields, volumes and your current schema. We do not need access to your Zyte account or your repositories.
We tell you what not to move
If your team is productive on sources that rarely break, leave them. Most engagements here are partial — we take the sources that consume disproportionate maintenance.
Pilot in your schema
Real output within 24 hours, mapped to your data model, so the comparison is against what your pipeline produces today.
Parallel run and keep what works
Run both. Many clients keep infrastructure for high-volume simple sources and hand us the awkward ones. That split usually costs less than either approach alone.

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.

Zyte has a strong engineering reputation and the Scrapy heritage is real. On automatic extraction at scale they have invested more than we have, and saying otherwise would be posturing.

What we sell is different: a scoped engagement with a documented schema, validation, coverage reporting and accountability when something breaks. That is a service proposition rather than a technical one, and the comparison is between purchase types rather than between engineering quality.

At high volume on straightforward pages, per-request infrastructure will beat our retainer. That is simple economics and we do not pretend otherwise.

Where a retainer compares well is awkward sources, where per-request pricing rises with difficulty, and predictability, where a fixed figure survives contact with a finance team better than variable usage. Which applies depends on your mix.

Yes, and it is often the cheapest configuration. Infrastructure for high-volume simple sources your team handles comfortably; a managed engagement for the awkward, regional or document-based sources that consume disproportionate maintenance.

We would rather take the sources where we add real value than argue for migrating pipelines that are working.

No. Data lands where you want it — your bucket, warehouse or an API — in the schema agreed during scoping. Plenty of our clients have no engineering involvement beyond nominating a destination.

That is precisely the difference: Zyte assumes a team that wants to build. We assume nobody on your side wants to think about collection at all.

That is a genuine capability difference and it favours them. Automatic extraction across thousands of domains with no per-source scoping is a different product shape from ours.

We scope per source, which is slower and produces a documented schema with stated coverage. If your requirement is breadth across unknown domains rather than depth on a defined set, they are the right answer.

That is usually where we get called: regional portals, legacy sites, PDF catalogues, awkward document formats. Those need per-source design rather than generic extraction.

Our AI-assisted extraction handles high-variety sources with grounding validation, and custom extraction covers formats that are not web pages at all. Both start with a free per-source feasibility assessment.

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.

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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

▶

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