Apify vs Make

A side-by-side look at Apify and Make — pricing, features and where each one wins. Both are reviewed independently on Curata AI.

ApifyMake
SummaryDeveloper-focused web scraping and automation platform with prebuilt Actors and a full crawling SDK.Visual AI automation platform for building workflows and AI agents across 3,000+ connected apps.
PricingFreemiumFreemium
CategoryAutomationAutomation
PlatformsWeb, APIWeb
Key features
  • 6,000+ Prebuilt Actors
  • Crawlee SDK for Custom Scrapers
  • Cloud Scheduling & Storage
  • Proxy & Anti-Blocking Infrastructure
  • API & Integrations
  • Visual Scenario Builder (drag-and-drop)
  • AI Agents & Prompt-Based Building
  • 3,000+ App Integrations
  • Routers & Complex Branching Logic
  • Custom Variables & Full-Text Log Search
  • Enterprise Governance (SSO, SOC 2/3)
Pros
  • Massive library of prebuilt Actors covering almost any scraping target
  • Crawlee SDK gives full control for custom, code-first crawl logic
  • Scales to high-volume, complex scraping better than no-code tools
  • Visual builder makes complex branching logic genuinely readable, not just a chain of linear steps
  • 3,000+ app integrations cover most real-world automation needs out of the box
  • AI Agents extend Make beyond point-to-point triggers into multi-step, AI-orchestrated processes
  • Real free tier (1,000 credits/month, 2 active scenarios) makes it easy to validate before paying
  • Enterprise-ready governance (SSO, SOC 2/3) supports larger, regulated organizations
Cons
  • Not truly no-code — configuring Actors requires understanding input params, proxies and output schemas
  • Usage-based pricing can get expensive at scale without careful monitoring
  • Steeper learning curve for non-developers than Browse AI or Octoparse
  • Pricing is credit-based, so heavier or more complex scenarios can consume a monthly allowance faster than a simple task count suggests
  • Steeper learning curve than a purely linear automation tool once scenarios use routers and complex branching
  • The Free plan's 2-scenario cap and 15-minute run interval are restrictive for anything beyond testing
  • Some advanced features (custom functions, full enterprise app integrations) are reserved for the Enterprise tier

Which one should you choose?

Apify

Best for: Developer-focused web scraping and automation platform with prebuilt Actors and a full crawling SDK.

Make

Best for: Operations, IT and RevOps teams who need Zapier-level polish with n8n-level flexibility for complex, branching automations.

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Read the full Apify review

Apify is a cloud platform for web scraping and automation built around 'Actors' — 6,000+ prebuilt scrapers covering mapping platforms, social media, marketplaces and more — plus the open-source Crawlee SDK for building fully custom crawlers. It handles scheduling, storage, proxies and anti-blocking infrastructure, making it the code-first option for teams that need more control or scale than a no-code point-and-click tool provides.

Read the full Make review

Make (formerly Integromat) is a visual AI automation platform for building and managing automations and AI agents — visually with its drag-and-drop scenario builder, in code, or from a prompt. It sits between Zapier's simplicity and n8n's raw power: complex branching, routers, data manipulation and AI modules are all first-class, with 3,000+ pre-built app integrations covering everything from Slack to Salesforce. Beyond point-to-point automation, Make's AI Agents let teams orchestrate multi-step, AI-driven processes across their stack, with an execution log, custom variables and enterprise governance (SSO, SOC 2/3) available on higher tiers. Pricing runs on a monthly operations credit allowance rather than a flat per-zap fee, scaling from a real free tier through Core, Pro, Teams and a custom Enterprise plan.