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正面對決基準比較
Apify vs RunningHub
Apify 每月有 4,147,762 次造訪，月增率 +3.9%，定價模式為免費增值、需聯絡報價。RunningHub 每月有 3,105,554 次造訪，成長率 -28.5%，定價模式為免費增值。
Apify 每月有 4,147,762 次造訪，月增率 +3.9%，定價模式為免費增值、需聯絡報價。RunningHub 每月有 3,105,554 次造訪，成長率 -28.5%，定價模式為免費增值。
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
| 面向／指標 |  | |
|---|---|---|
| 官方網域 | apify.com | runninghub.ai |
| 定價模式 | 免費增值、需聯絡報價 | 免費增值 |
| 每月造訪次數 | 414.78萬 (4,147,762) | 310.56萬 (3,105,554) |
| 月流量變化量 | +15.68萬 (+3.9%) |
| -123.77萬 (-28.5%) |
| 主要市場與市佔 | 🇺🇸 美國 (22.2%) | 🇨🇳 中國 (52.7%) |
|---|
| 每月直接造訪 | 181.64萬 | 229.72萬 |
|---|
| 使用者評分 | 4.6 | 4.4 |
|---|
| 支援平台 | 網站 | 網站 |
|---|
一站式雲端平台，執行大量現成網頁擷取工具與 AI 代理
超過十萬個現成擷取器與自動化工具，涵蓋社群媒體、地圖商家、電商、房地產與通用網頁爬取。
把 Apify Actor 直接接進 AI 助手與代理，讓它們能搜尋商店、執行爬蟲，並以工具呼叫取得結構化結果。
平台內建代管代理輪換與反封鎖能力，目標網站加強防護時擷取仍能穩定運作。
開源爬蟲函式庫加上 Python、JavaScript SDK，可用 Playwright、Puppeteer、Selenium 或 Cheerio 打造自訂 Actor。
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.
免費 / 開源透過 API 提供直接對應 LLM 的 Markdown 轉換，但缺乏 Apify 豐富的現成爬蟲市集。
專項更強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.
專項更強面向電影級影片與圖像的 AI 原生創作套件
一站式 AI 影片、圖像與代理式內容創作工作室
專項更強在瀏覽器中免費生成 AI 圖像與影片，並託管模型
專項更強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.
