Apify vs Apify

Detailed side-by-side comparison to help you choose the right tool

Apify

Web Automation

Web scraping platform with 21,000+ pre-built Actors for extracting data from websites without coding scrapers from scratch.

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Starting Price

Custom

Apify

🟡Low Code

Web Automation

Enterprise web scraping and data extraction platform with a marketplace of 1,500+ pre-built Actors, managed proxy infrastructure, and native AI/LLM integrations for automated data collection at scale.

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Starting Price

Free

Feature Comparison

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FeatureApifyApify
CategoryWeb AutomationWeb Automation
Pricing Plans6 tiers116 tiers
Starting PriceFree
Key Features
  • Web scraping
  • Data extraction
  • API integration
  • Web scraping with 1,500+ pre-built Actors
  • Managed proxy rotation (datacenter and residential)
  • JavaScript rendering and dynamic content handling

Apify - Pros & Cons

Pros

  • Skip building scrapers with 21,000+ ready-made Actors for major sites
  • Handles JavaScript, CAPTCHAs, and anti-bot detection out of the box
  • Pay-per-use pricing avoids paying for idle capacity
  • Active community contributes and maintains popular Actors
  • Residential proxy networks included, no separate proxy subscription needed

Cons

  • Costs scale with volume and site complexity, no unlimited plan
  • Actors break when target sites change, especially niche ones
  • Custom Actor development requires JavaScript/Node.js skills
  • More expensive than self-hosted Scrapy for high-volume simple sites

Apify - Pros & Cons

Pros

  • 1,500+ pre-built Actors eliminate weeks of custom scraper development for common targets like Amazon, Google, and social media platforms
  • Native LangChain/LangGraph integration and RAG-optimized browser tools make it the strongest scraping platform for AI application development
  • Fully managed proxy infrastructure with automatic datacenter and residential rotation removes the complexity of maintaining separate proxy services
  • Pay-as-you-go pricing with a free tier allows teams to prototype and validate scraping workflows before committing to production-scale costs
  • Cloud-native architecture auto-scales to hundreds of concurrent Actor runs without any manual infrastructure provisioning or management
  • API-first design with webhooks, Python/Node.js SDKs, and native third-party integrations enables seamless embedding into existing data workflows

Cons

  • Usage-based costs become expensive at high, consistent volumes — teams running large-scale daily scraping jobs may find self-hosted solutions more economical
  • Community-maintained Actors vary widely in quality, documentation, and maintenance — some break when target sites update without timely fixes
  • Custom Actor development requires learning Apify's SDK and runtime conventions, creating a steeper onboarding curve than using raw Puppeteer or Playwright
  • Platform lock-in is significant — migrating Actors and workflows to self-hosted infrastructure requires substantial rewriting of scheduling, storage, and proxy logic
  • Anti-detection capabilities lag behind specialized providers like Bright Data for the most heavily protected websites requiring advanced fingerprinting evasion

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