Apify Review 2026

Last reviewed June 2026 by Théo Pascard

Apify

Apify

Cloud platform for scraping at scale

Overview

Apify is a developer-first cloud platform for running web scrapers and browser automation, anchored by a marketplace of pre-built 'Actors' and a proxy/scheduling infrastructure underneath. It suits engineering teams that need to extract web data reliably and operate it via API or scheduled jobs. The real distinction is the Actor store plus the underlying compute and proxy layer, rather than a no-code point-and-click tool.

Enjyn Score

iWeighted across 5 axes, computed from public review data (G2, Capterra) and reweighted on our rubric — then overridden on the axes we operate first-hand.
9.4/ 10
Output quality9.4/10
Time-to-value9.4/10
Price-to-value9.4/10
ICP fit (SMB / founder)9.4/10
Reliability & support9.4/10

How we calculate the Enjyn Score →

Who it's for

  • Engineering and data teams comfortable with code and APIs
  • Teams scraping at volume that need proxies and scheduling handled
  • Builders who want to reuse or monetize pre-built Actors
  • Ops pipelines feeding scraped data into a warehouse or CRM

Not for

Non-technical sales reps wanting one-click lead lists · Teams needing a verified B2B contact database out of the box · Buyers wanting fully predictable flat-rate billing · Simple one-off scrapes where a no-code tool is cheaper

Capabilities

  • Run pre-built Actors from a large marketplace
  • Build and deploy custom scrapers in JavaScript or Python
  • Managed proxy rotation (datacenter and residential)
  • Scheduling, queues, and storage for crawl outputs
  • REST API and integrations to pipe data downstream
  • Scale concurrent runs with usage-based compute

Ratings & reviews

4.7
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👍 Pros

Ease of Use 184Scraping Efficiency 113Features 113Automation 109Easy Integrations 79

👎 Cons

Pricing Issues 88Expensive 87Learning Difficulty 58Learning Curve 51Steep Learning Curve 31

Pricing

TierPriceCredits / moNotes
FreeFree5$5 platform credits; community support
Starter$29/mo$29 credits + pay-as-you-go overage; chat support
Scale$199/mo$199 credits + overage; lower compute rate
Business$999/mo$999 credits + overage; account manager
EnterpriseCustomCustom pricing, SLAs, dedicated support

The honest take

Where it breaks

Costs can become hard to predict at scale because compute, proxies, and concurrency stack as usage-based overages, and non-technical users will struggle without engineering support.

The verdict

Apify is a strong, flexible choice for technical teams that need to scrape and automate web data at scale and want infrastructure handled for them. It is the wrong tool for non-technical GTM users expecting a plug-and-play lead list. Budget for variable usage costs and some engineering time.

FAQ

Is Apify a lead database?

No. Apify is a developer-first scraping and automation platform: you build or run pre-built Actors from its marketplace to collect web data, rather than query a pre-enriched contact list. It's the wrong tool for non-technical reps wanting one-click lead lists or a verified B2B contact database out of the box — its value is the Actor store plus underlying compute and proxy infrastructure.

Do I need to code?

For custom work, yes. Many marketplace Actors run with config only, but getting full value usually assumes some technical comfort. Apify is developer-first and suits engineering and data teams comfortable with code and APIs; non-technical sales reps wanting one-click lead lists will struggle without engineering support, and simple one-off scrapes may be cheaper on a no-code tool.

How does pricing work?

It's credit and usage-based: each plan includes a monthly credit allowance plus pay-as-you-go overage for compute, proxies, and add-ons. Plans run from Free ($5 credits) and Starter ($29/mo) up to Scale ($199/mo), Business ($999/mo), and custom Enterprise. Costs can become hard to predict at scale because compute, proxies, and concurrency stack as usage-based overages, so budget for variable usage.

Do unused credits roll over?

No. Unused platform credits expire at the end of each billing cycle, so you don't carry an allowance forward. Because billing is credit and usage-based — each plan includes a monthly credit allowance plus pay-as-you-go overage for compute, proxies, and add-ons — costs can be hard to predict at scale, so size your plan to actual monthly usage rather than banking on rollover.

Can it handle large-scale scraping?

Yes, that's its core strength — managed proxy rotation (datacenter and residential), concurrency, and scheduling are built for volume, with queues and storage for crawl outputs and a REST API to pipe data downstream. The trade-off is cost predictability: compute, proxies, and concurrency stack as usage-based overages at scale, so budget for variable usage and some engineering time.

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