Apify runs scrapers.
Everfetch gives you stable APIs.
Both turn websites into data for AI agents. The difference is whether your app owns the scraper or calls a shared site API.
By Everfetch · Published June 22, 2026 · Updated August 13, 2026
Methodology: Compared current product documentation, output shape, workflow ownership, and public pricing. Sources: Apify Actors, Apify datasets, Apify pricing.
Everfetch vs Apify, the honest version.
| Capability | Everfetch | Scraping platform |
|---|---|---|
| Primary output | Stable site APIs that return JSON | Datasets from scraper runs (JSON, CSV, Excel) |
| Built for | Repeated structured data from known sites | Running and building scrapers and automations |
| Delivery model | Call a hosted endpoint, get JSON | Run an Actor, then collect its dataset |
| Pre-built site coverage | 1,900+ shared site schemas | Thousands of Actors in Apify Store |
| Infrastructure to run and scale | Managed for you, no runs or proxies | Platform managed, you configure and pay for runs |
| Open source | Catalog, CLI, and API under AGPL v3 | Crawlee and SDKs open source, platform is commercial |
| Free start | No signup playground | Free monthly platform credits |
In practice
Compare the output, not only the request.
Apify · Run workflow
Configure or pick an Actor, run it at scale, and collect the resulting dataset.
Everfetch · Source interface
Call a supported site workflow with declared parameters and structured fields.
Everfetch and Apify, answered.
Built for the sites you call again and again.
If you need custom or large scale scrapes, use a scraping platform. If your agent depends on the same structured site data over time, give it a stable API.