# Apify vs BytePlus Apify records 4,147,762 monthly visits with +3.9% month-over-month growth and Freemium, Contact for Pricing pricing. BytePlus records 3,036,127 monthly visits with -30% growth and Freemium, Paid pricing. | Metric | [Apify](https://openaitools.app/tool/apify) | [BytePlus](https://openaitools.app/tool/byteplus) | | :--- | :--- | :--- | | Website URL | https://www.apify.com | https://www.byteplus.com | | Categories | AI Web Scraping, AI Agent, AI API, AI Developer Tools | AI API, AI Models, AI Agent, AI Video Generator | | Pricing Model | Freemium, Contact for Pricing | Freemium, Paid | | Monthly Visits | 4,147,762 | 3,036,127 | | MoM Growth Rate | +3.9% | -30% | | Primary Market | United States | Vietnam | | Direct Visits | 1,816,433 | 736,903 | | Review Score | 4.6 | 4.3 | | 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) ## BytePlus BytePlus positions itself as an AI-native cloud, meaning the platform was designed around models and agents rather than retrofitting them onto legacy compute. At its center is ModelArk, a one-stop service for calling and managing large language and multimodal models, including the Seed coding/agent model, Seedance video generation, and Seedream image generation. Around that sit supporting layers: a managed machine learning platform, the VikingDB vector database for retrieval, AgentKit for building and deploying agents, and AI knowledge search. On the infrastructure side, BytePlus offers GPU compute, elastic compute, serverless functions, Kubernetes management, object storage, relational databases, and CDN — enough to host full production workloads without leaving the ecosystem. Security and compliance are treated as first-class: zero-trust access via SealSuite, web application firewall, AI application firewall designed for jailbreak and prompt-injection defense, plus a long list of certifications such as ISO 27001, SOC 2, and PCI DSS. Pricing is usage-based, with token-level rates published for popular models and a pricing calculator for cloud resources. Many services offer free tiers or trial credits, so teams can experiment with inference and agents before committing to enterprise contracts, while larger organizations can contact sales for reserved capacity and private deployments. **Pricing & Plans:** Freemium plus pay-as-you-go. Model APIs are billed per token or per output (for example, published rates for Seed, Seedance, and Seedream models), infrastructure is metered by usage, and enterprise plans are available via sales contact. - **ModelArk model service:** A unified platform for accessing and managing large language and multimodal models, including Seed for coding and agents, with published per-token pricing. - **Seedance and Seedream generation:** Production-grade video generation with multi-shot storytelling and multimodal image creation and editing, callable through the same API surface. - **Managed GPU and MLOps:** Elastic GPU compute, a cloud-native machine learning platform, and serverless containers so teams can train, fine-tune, and serve models without managing hardware. - **Agent and knowledge tooling:** AgentKit, deep research agents, AI knowledge search, and a vector database give you the retrieval and orchestration layers agents need. - **Security and compliance stack:** Zero-trust access, WAF, AI application firewall, and audited certifications (ISO 27001, SOC 2, PCI DSS) for regulated deployments. **Strengths:** Full-stack coverage from models to GPU infrastructure to security; Published, transparent per-token pricing for flagship models; Strong compliance posture with many global certifications; Backed by ByteDance engineering and battle-tested at global scale **Limitations:** Extensive product catalog can be overwhelming for smaller teams; Some enterprise capabilities, like private deployments, require contacting sales; Regional availability and data residency vary by market [Profile (Markdown)](https://openaitools.app/tool/byteplus.md) ## Frequently Asked Questions ### How do Apify and BytePlus compare in monthly traffic? Apify has 4,147,762 monthly visits, while BytePlus has 3,036,127. 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%; BytePlus has -30%. ### 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. BytePlus: Freemium, Paid. Freemium plus pay-as-you-go. Model APIs are billed per token or per output (for example, published rates for Seed, Seedance, and Seedream models), infrastructure is metered by usage, and enterprise plans are available via sales contact. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) | | 2 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models. | [.md](https://openaitools.app/tool/google-ai-studio.md) | | 3 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | One API key for hundreds of AI models from every major provider | [.md](https://openaitools.app/tool/openrouter-ai.md) | | 4 | [BigModel](https://openaitools.app/tool/bigmodel) | 5,700,686 | -17% | Freemium | Zhipu AI's open platform for GLM large models, multimodal APIs, and agent building | [.md](https://openaitools.app/tool/bigmodel.md) | | 5 | [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) | | 6 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.md](https://openaitools.app/tool/fal-ai.md) | | 7 | [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) | | 8 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) | | 9 | [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) | | 10 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Run, fine-tune, and deploy machine learning models with one line of code | [.md](https://openaitools.app/tool/replicate-ai.md) | --- Source: https://openaitools.app/compare/apify-vs-byteplus More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)