# Apify vs Metaflow Apify records 4,147,762 monthly visits with +3.9% month-over-month growth and Freemium, Contact for Pricing pricing. Metaflow records 15,278 monthly visits with -18.1% growth and Free pricing. | Metric | [Apify](https://openaitools.app/tool/apify) | [Metaflow](https://openaitools.app/tool/metaflow-org) | | :--- | :--- | :--- | | Website URL | https://www.apify.com | https://metaflow.org | | Categories | AI Web Scraping, AI Agent, AI API, AI Developer Tools | AI Developer Tools, AI Project Management, AI Workflow, Large Language Models (LLMs) | | Pricing Model | Freemium, Contact for Pricing | Free | | Monthly Visits | 4,147,762 | 15,278 | | MoM Growth Rate | +3.9% | -18.1% | | Primary Market | United States | United States | | Direct Visits | 1,816,433 | 6,129 | | Review Score | 4.6 | 4.6 | | Saved Count | 6 | 0 | | Supported Platforms | Website | Website | ## Apify Apify started as a general-purpose web automation cloud and has grown into one of the largest marketplaces of turnkey web data extractors. The platform exposes a store of Actors — small containerized programs built by Apify and by third-party developers — that handle jobs like pulling Google Maps listings, TikTok videos, Instagram posts, Amazon prices, or crawling a documentation site into clean Markdown for a RAG pipeline. Each Actor runs on Apify's cloud, can be triggered from an API, scheduled on a recurring basis, and wired into downstream storage or applications.\n\nBecause running scrapers in production is mostly an infrastructure problem, Apify bundles the unglamorous parts: rotating residential and datacenter proxies, browser fingerprinting and anti-blocking, retry logic, dataset and key-value storage, and monitoring. Developers who would rather write their own code can build Actors with the Apify SDK in Python or JavaScript, or use Crawlee, Apify's open-source crawling and browser-automation library, which works with Playwright, Puppeteer, Selenium, and BeautifulSoup.\n\nRecently the platform has positioned itself around AI: the Apify MCP server and CLI let AI agents and assistants discover and call Actors as tools, and the Website Content Crawler Actor is explicitly designed to feed LLM applications and vector databases. Pricing follows a freemium model with monthly platform credits, pay-per-usage pricing for many Actors, and custom enterprise agreements. **Pricing & Plans:** Freemium: a free plan with monthly usage credits, paid subscription tiers that scale credits and concurrency, consumption-based charges for many marketplace Actors, and custom enterprise pricing. Developer payouts are also available for published Actors. - **Actor marketplace:** Over one hundred thousand ready-to-run scrapers and automation tools covering social media, maps, e-commerce, real estate, and general web crawling. - **MCP server and CLI:** Connect Apify Actors directly to AI assistants and agents so they can search the store, run scrapers, and pull structured results as tool calls. - **Anti-blocking and proxy infrastructure:** Managed proxy rotation and unblocking are built into the platform, so scrapers keep working when target sites add defenses. - **Crawlee and the Apify SDK:** An open-source crawling library plus Python and JavaScript SDKs for building custom Actors with Playwright, Puppeteer, Selenium, or Cheerio. - **Scheduling, storage, and integrations:** Recurring runs, dataset exports to CSV/JSON/Excel, webhooks, and integrations with LangChain, LlamaIndex, Zapier, and thousands of apps. **Strengths:** Enormous library of maintained scrapers means many jobs need no code at all; Infrastructure concerns like proxies, retries, and blocking are handled for you; Agent-ready through MCP, CLI, and API, with LangChain and LlamaIndex integrations; Generous free tier for testing plus a developer revenue-share program **Limitations:** Costs scale with usage, so high-volume scraping can get expensive quickly; Quality varies between community-built Actors and first-party ones; Target sites change frequently, so some Actors break or need updating over time [Profile (Markdown)](https://openaitools.app/tool/apify.md) ## Metaflow Metaflow started inside Netflix as an answer to a practical problem: data scientists were productive in notebooks, but turning that work into reliable production pipelines required a different skill set and a lot of glue code. The framework lets you keep writing ordinary Python — your existing libraries, models, and business logic stay exactly as they are — while Metaflow takes care of the operational concerns around them. Flow and step decorators define the pipeline, and each step's inputs and outputs are versioned automatically. The deployment story is deliberately portable. A flow developed and debugged locally can be pushed to production without rewriting it, running on Amazon EKS and S3, Azure AKS, Google GKE, or a self-managed Kubernetes cluster. That means you can burst onto GPUs, multiple cores, or many parallel instances when a workload demands it, then return to a laptop for the next iteration. Since being open-sourced in 2019, Metaflow has been adopted well beyond Netflix — 23andMe, CNN, Realtor.com, and hundreds of other organizations use it for everything from generative AI training to forecasting and operations research. Recent releases have pushed toward agentic and LLM workloads with recursive and conditional steps, a spin command for incremental flow development, uv dependency support, and a one-click local development stack, keeping it current for teams building modern AI systems. **Pricing & Plans:** Metaflow is free and open source. You install the Python package at no cost and pay only for the cloud infrastructure you run it on — for example your own AWS, Azure, or Google Cloud account, or an on-premise Kubernetes cluster. A browser-based Metaflow Sandbox is available to explore it without setting anything up. - **Workflows in plain Python:** Flow and step decorators turn ordinary Python functions into versioned, resumable pipelines without YAML or DSL boilerplate. - **Scale out to the cloud:** Move the same flow from a laptop to Kubernetes, AWS Batch, Azure, or GCP and run steps on GPUs, many cores, or large memory pools. - **Automatic versioning and tracking:** Metaflow stores variables and artifacts from every step so you can compare experiments, debug past runs, and reproduce results later. - **Event-driven orchestration:** Point a flow at your production scheduler and let it react to incoming data or events instead of manual re-runs. - **Developer-first tooling:** Sandbox in the browser, reusable cards, @secrets, @checkpoint, and configurable Config objects give teams production-grade building blocks. **Strengths:** Free and open source with no license fees or seat limits; Write workflows in plain Python with your existing libraries; Automatic versioning makes experiments reproducible and debuggable; Portable deployment across AWS, Azure, GCP, and Kubernetes **Limitations:** No managed hosted service from the maintainers — you provision and pay for your own cloud resources; Depth of the framework means a real learning curve for simple one-off scripts; Cloud and production features assume familiarity with Kubernetes, AWS Batch, or equivalent tooling; Built-in UI and observability are lighter than some commercial MLOps platforms [Profile (Markdown)](https://openaitools.app/tool/metaflow-org.md) ## Frequently Asked Questions ### How do Apify and Metaflow compare in monthly traffic? Apify has 4,147,762 monthly visits, while Metaflow has 15,278. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Apify has a month-over-month growth rate of +3.9%; Metaflow has -18.1%. ### How does pricing compare? Apify: Freemium, Contact for Pricing. Freemium: a free plan with monthly usage credits, paid subscription tiers that scale credits and concurrency, consumption-based charges for many marketplace Actors, and custom enterprise pricing. Developer payouts are also available for published Actors. Metaflow: Free. Metaflow is free and open source. You install the Python package at no cost and pay only for the cloud infrastructure you run it on — for example your own AWS, Azure, or Google Cloud account, or an on-premise Kubernetes cluster. A browser-based Metaflow Sandbox is available to explore it without setting anything up. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) | | 2 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) | | 3 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Provides direct LLM-ready markdown conversion via API, but lacks Apify's massive marketplace of pre-built scraping actors. | [.md](https://openaitools.app/tool/firecrawl-dev.md) | | 4 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) | | 5 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Rent cloud GPUs by the second from a global marketplace | [.md](https://openaitools.app/tool/vast-ai.md) | | 6 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) | | 7 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | An AI-native cloud built from silicon to API for training, tuning, and serving models | [.md](https://openaitools.app/tool/nebius.md) | | 8 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Offers enterprise-grade proxy networks and raw web data infrastructure, but lacks Apify's plug-and-play actor marketplace. | [.md](https://openaitools.app/tool/bright-data.md) | | 9 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Automates complex business workflows with AI agents, but is less specialized for raw large-scale web scraping actors. | [.md](https://openaitools.app/tool/gumloop.md) | | 10 | [Mastra](https://openaitools.app/tool/mastra) | 318,954 | -5% | Freemium, Contact for Pricing | The TypeScript framework for building, deploying, and observing AI agents | [.md](https://openaitools.app/tool/mastra.md) | --- Source: https://openaitools.app/compare/apify-vs-metaflow-org More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)