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Apify vs Sendmux
Apify 记录了 4,147,762 月访问量，月度环比增长为 +3.9%，定价为免费增值，定价请咨询。Sendmux 记录了 37 月访问量，增长率为 -98.3%，定价为免费。
Apify 记录了 4,147,762 月访问量，月度环比增长为 +3.9%，定价为免费增值，定价请咨询。Sendmux 记录了 37 月访问量，增长率为 -98.3%，定价为免费。
Sendmux is an email API built for AI agents. It gives each agent a real mailbox on a verified domain or a shared address, lets it send outbound mail through your own providers, and streams inbox events live so agents can react instead of polling.
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | apify.com | sendmux.ai |
| 定价模式 | 免费增值，定价请咨询 | 免费 |
| 月访问量 | 414.78万 (4,147,762) | 37 (37) |
| 月度环比流量变化 | +15.68万 (+3.9%) |
| -2196 (-98.3%) |
| 主要市场与份额 | 🇺🇸 美国 (22.2%) | 🇺🇸 美国 (100%) |
|---|
| 直接访问 / 月 | 181.64万 | 12 |
|---|
| 用户评分 | 4.6 | 4.2 |
|---|
| 支持的平台 | 网站 | 网站 |
|---|
一站式云端平台，运行海量现成网页抓取工具与 AI 智能体
超过十万个现成抓取器与自动化工具，覆盖社交媒体、地图商户、电商、房地产和通用网页爬取等场景。
把 Apify Actor 直接接入 AI 助手与智能体，让它们能搜索商店、运行爬虫，并以工具调用形式获取结构化结果。
平台内置托管代理轮换与反封锁能力，目标网站加强防护后抓取仍可稳定运行。
开源爬虫库加上 Python、JavaScript SDK，可用 Playwright、Puppeteer、Selenium 或 Cheerio 构建自定义 Actor。
Sendmux is an email API built for AI agents. It gives each agent a real mailbox on a verified domain or a shared address, lets it send outbound mail through your own providers, and streams inbox events live so agents can react instead of polling.
Provision mailboxes on verified domains or a shared myagent.mx address, with clean JSON output that strips signatures and quotes.
Send over HTTP or SMTP using the same mailbox credential as a Bearer token and SMTP password, with Idempotency-Key retries and attachment support.
Bind keys to providers, delivery groups, weights, and quota windows so traffic stays inside the boundaries you set.
Signed webhooks for delivery and receipt events, an SSE stream for live mailbox clients, and typed change polling for resync.
免费 / 开源通过 API 提供直接适配 LLM 的 Markdown 转换，但缺乏 Apify 丰富的现成爬虫市场。
#3专项更强Automates complex business workflows with AI agents, but is less specialized for raw large-scale web scraping actors.
专项更强高度专注于现成的社交媒体自动化与潜在客户开发工作流程，而非一般的网页抓取。
面向团队的协作式收件箱与邮件管理
专项更强Automates complex business workflows with AI agents, but is less specialized for raw large-scale web scraping actors.
面向编码智能体的 Fast Apply 与智能体调优推理
专项更强高度专注于现成的社交媒体自动化与潜在客户开发工作流程，而非一般的网页抓取。
