Firecrawl 记录了 1,828,239 月访问量，月度环比增长为 -1.9%，定价为免费增值，定价请咨询。RunningHub 记录了 3,105,554 月访问量，增长率为 -28.5%，定价为免费增值。
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | firecrawl.dev | runninghub.ai |
| 定价模式 | 免费增值，定价请咨询 | 免费增值 |
| 月访问量 | 182.82万 (1,828,239) | 310.56万 (3,105,554) |
| 月度环比流量变化 | -3.57万 (-1.9%) | -123.77万 (-28.5%) |
| 主要市场与份额 | 🇺🇸 美国 (31.8%) | 🇨🇳 中国 (52.7%) |
| 直接访问 / 月 | 74.03万 | 229.72万 |
| 用户评分 | 4.7 | 4.4 |
| 支持的平台 | 网站 | 网站 |
把任意网站变成 AI 可直接使用数据的 Web 数据 API
多个接口覆盖来源发现、单页抽取、整站爬取和 URL 映射，一套 API 全搞定。
返回 Markdown、结构化 JSON、HTML、链接和截图，同时去除导航、广告与页脚以降低 token 消耗。
抓取后可依据提示词或代码执行点击、输入、滚动和跳转，获取交互后才出现的数据。
Python 与 Node SDK、REST API、CLI 和 MCP 服务器，让智能体和 IDE 几分钟内接入。
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
Run, import, and share ComfyUI workflows in the cloud without local GPU hardware.
Publish a workflow as a single-click AI app that anyone can run with simple inputs.
Use hosted image and video models, including self-developed upscaling and enhancement tools, from one dashboard.
Integrate generation into your product via workflow, model, LLM, and app APIs.
专项更强可安全商用的生成式 AI 工作空间，覆盖图像、视频、音频、矢量与多模型创意生产。
专项更强面向电影级视频与图像的 AI 原生创作套件
专项更强Civitai is a community-driven hub where people share, discover and run open-source image, video and 3D AI models, generate art in the browser, and compare LoRAs, checkpoints and workflows.
一站式 AI 视频、图像与智能体内容创作工作室
专项更强面向图像与视频的实时生成式 AI 工作室
专项更强拥有庞大的强大网络爬虫与 Actor 市场，但比 Firecrawl 简单的 API 需要更多配置。
专项更强在浏览器中免费生成 AI 图像与视频，并托管模型
专项更强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 backed by in-house systems research.
专项更强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 backed by in-house systems research.
Combines live web search and cloud browsers for agentic automation, but less specialized in clean markdown generation.
