TagX vs Zyte

Don't deploy spiders.
Just receive the finished data.

Zyte's developer platform — the Zyte API, Scrapy Cloud and extraction tools — is built for teams that code against it, deploy and maintain their own spiders. TagX delivers the dataset itself as a fully managed service. You tell us the sources and fields you need; we own the spiders, the proxies, the parsing and the QA, and ship you clean, structured data — starting with a free sample.

Book a call with the teamGet a free data sample

No Scrapy code to write · No spiders to maintain · Data delivered in your format

TagXData-as-a-Service

You get the data, not a platform to run

  • Included Brief us on sources & fields — we deliver the dataset
  • Included No Scrapy, no spiders, no code on your side
  • Included Collection, extraction & QA fully managed for you
  • Included Delivered as JSON, CSV, API or to your warehouse
  • Included One team accountable to your data SLA
vs
ZyteDeveloper tooling

You get the tools, then do the engineering

  • Not included You write & deploy Scrapy spiders yourself
  • Not included You integrate the Zyte API into your codebase
  • Not included You run & monitor jobs on Scrapy Cloud
  • Not included Request-based bills that scale with volume
  • Not included Your Python engineers own the upkeep
The core difference

Both can get you web data. TagX delivers the dataset, done for you.

Zyte is best known for its developer platform — the Zyte API, Scrapy Cloud and extraction tools your engineers code against and deploy — and it also offers managed data services. Its developer tooling is a strong fit for teams that want to build and run their own spiders. TagX focuses on the done-for-you path: we run the entire pipeline and hand you the finished, structured dataset, with no spiders or jobs on your side.

01

You brief, we scope

Share the sources, fields, volume and refresh cadence you need. We design the collection plan — no Scrapy spiders or extraction logic for you to write.

02

We build & run it

Our team handles crawling, proxy rotation, ban handling, extraction and job orchestration. There's no Scrapy Cloud for you to operate or monitor.

03

We QA & structure

Every record is validated, de-duplicated and normalized to your schema. You get analysis-ready data, not API responses you still have to post-process.

04

You receive the data

Delivered on your schedule as JSON, CSV, Parquet, a REST API or straight into S3, BigQuery or Snowflake. Plug it in and build.

Want to see what that looks like for your use case?

Book a call with the team

TagX vs Zyte, side by side

Both can get you web data. The difference is how much engineering lands on your team. Here's the full breakdown.

Capability
TagX
Zyte
Core model compared here
IncludedA finished, structured dataset delivered to you
A developer API & platform (Zyte API, Scrapy Cloud) you build on
Who writes the scrapers
IncludedTagX — fully managed, including custom sources
You write & deploy Scrapy spiders yourself
Coding & integration
IncludedNone — you brief us, no code required
Python/Scrapy work to integrate the Zyte API
Proxy & ban handling
IncludedHandled for you, never your concern
Zyte API smart proxy you configure & pay per request
Data cleaning & structuring
IncludedValidated, de-duplicated, schema-mapped by us
AI extraction helps, but you validate & post-process
Running & monitoring jobs
IncludedWe orchestrate and monitor everything
You operate and watch jobs on Scrapy Cloud
Maintenance when sites change
IncludedOur team fixes breakages, no action needed
Your engineers update and redeploy spiders
Delivery formats
IncludedJSON, CSV, Parquet, API, S3, BigQuery, Snowflake
API responses & Scrapy Cloud storage you export
Pricing model
IncludedPredictable, outcome-based per project/feed
Request-based API usage + Scrapy Cloud units
Engineering effort to start
IncludedNear zero — you brief, we deliver
High — needs Python & Scrapy expertise
Best fit
IncludedTeams that want clean data, not a scraping stack
Developer teams that want to build & run their own

Not sure which sources you need? We'll scope it with you.

Send us your target sites and fields — we'll come back with a sample and a quote.

Get a custom data quote
Why teams move to TagX

The value isn't the platform. It's the data in your hands.

No Scrapy stack to own

No spiders to write, no Scrapy Cloud to operate, no extraction code to wire up. We run everything so your team builds products instead of pipelines.

Faster time to data

Skip weeks of spider development and debugging. Brief us and receive a working sample, often within days, then a steady feed.

Analysis-ready, not raw

Data arrives validated, de-duplicated and mapped to your schema — ready for dashboards, models and AI training without post-processing.

Delivered your way

JSON, CSV, Parquet, a REST API, or pushed straight into S3, BigQuery or Snowflake on the cadence you choose.

$

Predictable pricing

Outcome-based pricing per feed or project instead of request-based API meters and Scrapy Cloud units that climb with volume.

A team behind your SLA

Sites change, defenses evolve, volumes grow. A dedicated team keeps your data flowing and accountable to an SLA.

Managed
Pipeline run end to end
Custom
Sources & schemas built to spec
Validated
Cleaned & QA'd to your rules
Scheduled
Recurring delivery, your cadence
An honest take

When Zyte may be the better fit

  • If your team wants to build and run its own spiders with a developer framework (Scrapy) and smart proxy management, Zyte's developer tooling is a good match.
  • If you have Python engineers who prefer to code, deploy and monitor their own extraction jobs, the Zyte API and Scrapy Cloud give them that control.

If you'd rather receive the finished data without running any of that, that's what TagX does — start with a free sample.

Stop building and running spiders.
Start receiving the data.

Tell us what web data you need and how you want it delivered. We'll send back a free sample and a clear quote, no Scrapy code, no Scrapy Cloud, no maintenance on your side.

Book a call with the teamGet your free data sample
Free sampleNo commitmentDelivered in your formatReply within 1 business day
FAQ

Frequently asked questions

Zyte is best known for its developer platform — the Zyte API, Scrapy Cloud and extraction tools your engineers code against, deploy and maintain — and it also offers managed data services. TagX focuses on the done-for-you path: you tell us what web data you need and we deliver the finished, cleaned, structured dataset. With TagX there are no Scrapy spiders to write, no jobs to run and no parsing or maintenance on your side.

Yes. Zyte is built around Scrapy and its API, so getting value typically requires Python and scraping expertise. Because TagX delivers ready-to-use data rather than tools, you do not need to write spiders or operate a scraping platform. You brief us on the sources and fields you need, and we handle collection, extraction, QA and delivery, making TagX a strong fit for product, analytics, research and business teams.

No. With TagX there is nothing for you to build or operate. We run all collection, extraction and orchestration on our own infrastructure and simply deliver the resulting dataset. You never touch Scrapy, Scrapy Cloud or any scraping code.

TagX delivers data in whatever format fits your workflow: JSON, CSV, Parquet, a hosted REST API, or pushed directly into cloud destinations such as Amazon S3, Google BigQuery or Snowflake. Data is delivered on the cadence you choose, from one-time datasets to recurring daily, hourly or near real-time feeds.

Zyte typically combines request-based Zyte API usage with Scrapy Cloud units, so costs scale with volume and can be hard to predict. TagX uses outcome-based pricing per dataset, feed or project, so you pay for the data you receive rather than the underlying requests and compute. Most teams find this far more predictable.

Yes. Custom and niche sources are part of the managed service. If a site is not already covered, our team builds and maintains the collection and extraction logic for it as part of your engagement, including the quality checks needed to deliver clean, structured records.

TagX does. Site layout changes, new anti-bot defenses and shifting volumes are our responsibility, not yours. Our team monitors pipelines, fixes breakages and keeps your data flowing to an agreed SLA, so your engineers never have to maintain spiders or extraction code.
Still have questions? We usually reply within a day.Let's talk

What Makes TagX the Right Data Partner for You

From the first consultation to ongoing delivery, everything is completely managed by our engineering team.

TagX Global Data Scale

100M+ Websites & Global Reach

Extract data at scale from websites across the globe. We bypass regional restrictions to deliver localised, market-relevant intelligence wherever your business operates.

TagX Seamless Data Integration

Reliable Quality & Seamless Integration

Receive validated, structured data ready to plug directly into your systems or APIs — no manual cleaning, no reformatting, no friction.

TagX 24/7 Managed Support

24/7 Continuous Streams & Expert Support

Our pipelines run around the clock with proactive monitoring and dedicated support, so your data streams stay live, accurate, and uninterrupted.

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