# Apify vs Modal

Apify records 4,147,762 monthly visits with +3.9% month-over-month growth and Freemium, Contact for Pricing pricing. Modal records 1,196,021 monthly visits with +30.2% growth and Freemium, Contact for Pricing pricing.

| Metric | [Apify](https://openaitools.app/tool/apify) | [Modal](https://openaitools.app/tool/modal-com) |
| :--- | :--- | :--- |
| Website URL | https://www.apify.com | https://modal.com |
| Categories | AI Web Scraping, AI Agent, AI API, AI Developer Tools | AI Developer Tools, AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Freemium, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 4,147,762 | 1,196,021 |
| MoM Growth Rate | +3.9% | +30.2% |
| Primary Market | United States | United States |
| Direct Visits | 1,816,433 | 845,636 |
| Review Score | 4.6 | 4.8 |
| Saved Count | 6 | 3 |
| 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)

## Modal

Modal provides cloud infrastructure aimed squarely at AI and data teams. The core idea is that developers write ordinary Python, decorate functions or define container images, and Modal takes care of the underlying compute: scheduling containers, attaching GPUs, autoscaling from zero and back, and exposing endpoints over HTTPS. Infrastructure concerns like networking, storage, and capacity management are abstracted away, so a workload that runs on a laptop can run the same way across a fleet.

The platform is organised around a few primitives. Functions handle serverless compute and can fan out across thousands of GPUs for parallel or batch work. Sandboxes provide isolated environments for coding agents, reinforcement learning rollouts, and other untrusted code, with sub-second start times and support for very high concurrency. Training covers fine-tuning, reinforcement learning, and evaluation on single or multi-node GPU capacity. On the inference side, Modal offers OpenAI-compatible endpoints for open-weight models and lets teams deploy custom stacks and tune endpoints to match their traffic shape.

Underneath, Modal runs its own container runtime and image system designed for large images and fast GPU scheduling, along with a distributed filesystem for fast access to model weights and datasets. Capacity is drawn from a multi-cloud pool spanning many regions, with automatic routing to available hardware and continuous fleet health checks. Billing is usage-based, charged by the second while code runs, with granular cost controls. The company offers a free starting allowance and scalable paid usage, and markets to enterprises with SOC 2 Type II compliance and HIPAA readiness.

**Pricing & Plans:** Modal uses usage-based pricing billed by the second: a free monthly compute allowance gets you started, then you pay for the CPU, memory, and GPU resources your workloads consume. Enterprise plans and startup credits are available, and custom pricing can be discussed with sales.

- **Serverless Python functions:** Write plain Python, attach GPUs or containers, and deploy HTTPS endpoints that autoscale with traffic and scale to zero when idle.
- **Sandboxes for agents:** Launch isolated, secure environments for coding agents, RL rollouts, and untrusted code, with sub-second starts and support for over a million concurrent sandboxes.
- **Training and fine-tuning on demand:** Run fine-tunes, LoRA, full training, and reinforcement learning on elastic single or multi-node GPU capacity with no quota requests.
- **Model inference and endpoints:** Serve LLMs and image, video, or audio models through OpenAI-compatible endpoints, or bring your own inference stack and let Modal handle the infrastructure.
- **Fast storage and multi-cloud capacity:** A distributed filesystem loads large images and model weights at full bandwidth, while a pool spanning 20+ clouds routes workloads to the right hardware and region.

**Strengths:** Python-native developer experience with almost no infrastructure boilerplate; Scales from zero to thousands of GPUs with per-second, usage-based billing; Sandboxes are well suited to agentic and untrusted-code workloads; Multi-cloud capacity spans many regions with out-of-the-box observability and enterprise compliance

**Limitations:** Billed by real usage, so heavy GPU workloads can get expensive quickly without cost controls; Some advanced inference and enterprise features require working with the team rather than self-serve signup; The serverless model can feel less familiar to teams used to managing their own VMs or Kubernetes clusters

[Profile (Markdown)](https://openaitools.app/tool/modal-com.md)

## Frequently Asked Questions

### How do Apify and Modal compare in monthly traffic?

Apify has 4,147,762 monthly visits, while Modal has 1,196,021. 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%; Modal has +30.2%.

### 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. Modal: Freemium, Contact for Pricing. Modal uses usage-based pricing billed by the second: a free monthly compute allowance gets you started, then you pay for the CPU, memory, and GPU resources your workloads consume. Enterprise plans and startup credits are available, and custom pricing can be discussed with sales.

## 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 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Extremely fast serverless execution optimized specifically for generative media models rather than general Python code. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 3 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | Provides flexible GPU infrastructure and serverless endpoints, though less focused on pure Python function decorators. | [.md](https://openaitools.app/tool/runpod.md) |
| 4 | [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) |
| 5 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Focuses heavily on managed open-source model inference APIs rather than arbitrary custom container execution. | [.md](https://openaitools.app/tool/together-ai.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | Delivers robust enterprise GPU clusters and managed inference, requiring more infrastructure setup than Modal's serverless approach. | [.md](https://openaitools.app/tool/nebius.md) |
| 9 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Easier model packaging via Cog, but offers less arbitrary serverless Python container execution than Modal. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/apify-vs-modal-com

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)