# Firecrawl vs ModelScope Firecrawl records 1,828,239 monthly visits with -1.9% month-over-month growth and Freemium, Contact for Pricing pricing. ModelScope records 3,085,423 monthly visits with +5.1% growth and Free pricing. | Metric | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | [ModelScope](https://openaitools.app/tool/modelscope-community) | | :--- | :--- | :--- | | Website URL | https://www.firecrawl.dev | https://www.modelscope.cn | | Categories | AI Data Mining, AI API, Large Language Models (LLMs), Open Source AI Models | Open Source AI Models, AI Models, AI Developer Tools, Large Language Models (LLMs) | | Pricing Model | Freemium, Contact for Pricing | Free | | Monthly Visits | 1,828,239 | 3,085,423 | | MoM Growth Rate | -1.9% | +5.1% | | Primary Market | United States | China | | Direct Visits | 740,258 | 2,108,104 | | Review Score | 4.7 | 4.5 | | Saved Count | 2 | 0 | | Supported Platforms | Website | Website | ## Firecrawl Firecrawl positions itself as the infrastructure layer that helps AI systems find, read, and act on the live web. Instead of wrestling with headless browsers, proxy rotation, JavaScript rendering, and messy HTML, teams send Firecrawl a URL or a query and receive clean, token-efficient content that a model can consume directly. The platform bundles search, scrape, map, crawl, and interact endpoints so an agent can discover sources, pull their contents, and then click, type, or navigate within a page. The product is developer-first: official Python and Node.js SDKs, a REST API, a CLI, and an MCP server make it easy to plug into frameworks such as LangChain, LlamaIndex, or any agent runtime. Reliability engineering is a headline claim, with published benchmarks for scrape coverage, latency, and token savings, plus smart waiting for dynamically loaded content and support for structured extraction schemas. Firecrawl also maintains an open-source core alongside its hosted, usage-metered service, and it has expanded beyond raw scraping toward curated, licensed web content through its Alexandria program. Typical adopters include AI chat products, deep-research tools, agent builders, sales-intelligence teams, and onboarding flows that need fresh web context. **Pricing & Plans:** Freemium: a free tier lets you start without a card, paid plans scale by credits/usage, and enterprise or high-volume deals are handled through contact sales. - **Search, scrape, crawl, map:** Multiple endpoints cover discovery, single-page extraction, whole-site crawling, and URL mapping from one API. - **LLM-ready output:** Returns Markdown, structured JSON, HTML, links, and screenshots while stripping navigation, ads, and footers to cut token usage. - **Interact with pages:** After scraping, drive clicks, typing, scrolling, and navigation with prompts or code to reach data behind interaction. - **Developer integrations:** Python and Node SDKs, REST API, CLI, and an MCP server let agents and IDEs connect in minutes. - **Open-source core and reliability benchmarks:** A publicly developed core plus published coverage, latency, and token-efficiency benchmarks back the reliability claims. **Strengths:** Handles JavaScript rendering, smart waits, and anti-bot complexity so you avoid maintaining your own scraper fleet; Token-efficient Markdown output reduces LLM input costs substantially; Rich integration surface: SDKs, REST, CLI, and MCP server for agent frameworks; Open-source core and published benchmarks improve transparency and trust **Limitations:** Usage-based credits mean costs can grow quickly on large crawl jobs; Full feature depth may be overkill for teams that only need occasional single-page scraping; Coverage gaps remain on highly protected or login-gated sites [Profile (Markdown)](https://openaitools.app/tool/firecrawl-dev.md) ## ModelScope ModelScope, also known as the Magic Model community, is an open-source AI model and dataset hub built and maintained with Alibaba. It gathers models for natural language processing, computer vision, speech, multimodal generation, and more, letting researchers and developers browse, download, and evaluate them in one place. Each model typically ships with documentation, a model card, and an interactive online demo so you can try it directly in the browser before installing anything. Beyond hosting files, ModelScope functions as a full model-as-a-service workspace. Users get free online notebooks with GPU and CPU resources for training and fine-tuning, plus hosted inference endpoints and a Python library that integrates with common deep learning frameworks. Community features such as model collections, benchmarks, competitions, and discussion boards make it a social hub as much as a repository. The platform is free to use, with compute credits and hosted serving tied to account usage. Its close association with Alibaba Cloud means it also serves as a practical gateway for teams who want to move from experimentation to production deployment within a familiar cloud ecosystem. **Pricing & Plans:** Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services. - **Model & Dataset Hub:** Browse and download thousands of pretrained models and datasets across NLP, vision, audio, and multimodal tasks. - **One-click Online Demos:** Try models directly in the browser through hosted inference demos without local setup. - **Free Notebook Compute:** Run training and fine-tuning in cloud notebooks with complimentary GPU and CPU resources. - **Python Library & SDK:** Integrate ModelScope models into your own pipelines using the official Python package and APIs. - **Community & Benchmarks:** Join competitions, publish model cards, and compare results through community benchmarks and leaderboards. **Strengths:** Huge, free catalog of models and datasets; Built-in online demos require no installation; Complimentary GPU/CPU notebook compute; Strong integration with Alibaba Cloud for scaling **Limitations:** Much of the documentation is Chinese-first; Hosted features may require an account and regional access; Interface can feel dense for newcomers [Profile (Markdown)](https://openaitools.app/tool/modelscope-community.md) ## Frequently Asked Questions ### How do Firecrawl and ModelScope compare in monthly traffic? Firecrawl has 1,828,239 monthly visits, while ModelScope has 3,085,423. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Firecrawl has a month-over-month growth rate of -1.9%; ModelScope has +5.1%. ### How does pricing compare? Firecrawl: Freemium, Contact for Pricing. Freemium: a free tier lets you start without a card, paid plans scale by credits/usage, and enterprise or high-volume deals are handled through contact sales. ModelScope: Free. Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Hugging Face](https://openaitools.app/tool/hugging-face) | 31,232,542 | +0.1% | Freemium, Paid | The global standard open-source AI hub offering vastly larger model and dataset repositories than ModelScope. | [.md](https://openaitools.app/tool/hugging-face.md) | | 2 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Convenient API gateway for multi-model access, but does not provide ModelScope's open-source model repository or dataset hosting. | [.md](https://openaitools.app/tool/openrouter-ai.md) | | 3 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Streamlined local CLI runtime for running LLMs, but lacks ModelScope's web-based model hosting and dataset discovery. | [.md](https://openaitools.app/tool/ollama.md) | | 4 | [Civitai](https://openaitools.app/tool/civitai) | 6,963,136 | +12.8% | Freemium | Superior community hub specifically for generative image and media models, but lacks ModelScope's broad NLP and code support. | [.md](https://openaitools.app/tool/civitai.md) | | 5 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Massive marketplace of robust web scrapers and actors, but requires more configuration than Firecrawl's simple API. | [.md](https://openaitools.app/tool/apify.md) | | 6 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Robust cloud infrastructure for running open-source models via API, but lacks ModelScope's community-driven model discovery and demo workspace. | [.md](https://openaitools.app/tool/together-ai.md) | | 7 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | Combines live web search and cloud browsers for agentic automation, but less specialized in clean markdown generation. | [.md](https://openaitools.app/tool/tinyfish.md) | | 8 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Optimized for semantic web search and AI agent retrieval, but less focused on full-site markdown crawling. | [.md](https://openaitools.app/tool/exa-ai.md) | | 9 | [Tavily](https://openaitools.app/tool/gpt-researcher) | 989,998 | -0.8% | Contact for Pricing | Bundles deep research agents and web search APIs, but less centered on raw site-to-markdown conversion. | [.md](https://openaitools.app/tool/gpt-researcher.md) | | 10 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Feature-rich self-hosted chat interface for local models, but lacks ModelScope's comprehensive repository of raw model weights and datasets. | [.md](https://openaitools.app/tool/open-webui.md) | --- Source: https://openaitools.app/compare/firecrawl-dev-vs-modelscope-community More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)