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PyronetsPyronets
Honest comparison

Apify alternatives, for teams who would rather not run the scraper

Apify is a self-serve platform and marketplace: you run Actors in their cloud, pick ready-made ones from the Store, or build and publish your own. Done-for-you work exists, but at the Enterprise tier.

Don't switch if

Apify is the right answer for plenty of teams.

If any of these describe you, stay where you are. Moving would cost you something and gain you nothing.

  • You have engineers who want to own the scraper, and owning it is fine by you.
  • An Actor in the Store already does what you need and keeps working.
  • Your volumes fit the published plans and the usage-based billing suits you.
  • The work is exploratory. You are still deciding what data you want.
What sends people looking

The reasons people search this in the first place.

  • Nobody on the team wants to be the person who fixes the Actor when the layout changes.
  • The platform bill is predictable but the engineering time around it is not.
  • You need a schema you specified, validated before it arrives, rather than whatever the Actor emits.
  • Collection has become an unplanned, recurring interruption to the work you are actually paid for.
Where we differ

What Pyronets does instead.

Who runs it
We do. There is no Actor in your account to maintain.
What arrives
Typed records in the schema you specified, with a QA report each batch.
When it breaks
Our problem, and usually fixed before the delivery window.
What it costs
A fixed quote for the engagement, not metered compute.
Where it lands
CSV, JSON, a REST endpoint, SFTP, or straight into your warehouse.
When we're the wrong call

If your team wants to own the collection code, Apify is the better tool and we would be a worse fit. We are the right answer when you want the records, not the pipeline.

Everything stated above about Apify comes from their own public pages, read on 2026-10-27: Apify pricing. Products change; if something here is out of date, tell us and we'll correct it.

Send three sources and see the difference.

A feasibility read, a proposed schema, and a real sample extracted from your own targets, before you commit to anything.

No retainer required to find out whether your sources are feasible.