| 维度 / 指标 | ||
|---|---|---|
| 官方域名 | firecrawl.dev | pig.dev |
| 定价模式 | 免费增值,定价请咨询 | 定价请咨询 |
| 月访问量 | 182.82万 (1,828,239) | 1521 (1,521) |
| 月度环比流量变化 | -3.57万 (-1.9%) | -1707 (-52.9%) |
| 主要市场与份额 | 🇺🇸 美国 (31.8%) | 🇺🇸 美国 (100%) |
| 直接访问 / 月 | 74.03万 | 597 |
| 用户评分 | 4.7 | 4.2 |
| 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。
Pig is an API and SDK that lets developers automate Windows applications with a computer-use AI, through a chat interface, a task API, or a low-level SDK with human-in-the-loop control.
Pig Chat connects your machines and lets you prototype automations through a conversational interface, no code required.
The Agent API exposes the same computer-use AI behind Pig Chat so you can launch tasks from your own services.
A low-level SDK provides the base toolkit for building custom agents, using natural tools like click(), type(), and screenshot().
Agents control the screen the way a person would, transferring control to a human operator for critical steps and picking it back up afterwards.

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。

Combines live web search and cloud browsers for agentic automation, but less specialized in clean markdown generation.

专项更强具备强大爬虫工具的企业级代理服务器基础设施,但若只是要简单转换 Markdown,复杂度和价格都明显高出许多。
一个兼容 OpenAI 的 API,接入 500+ 图像、视频、音频与大模型

免费 / 开源Mastra is an open-source TypeScript framework for building, deploying, and observing AI agents and workflows. It gives JavaScript developers typed agents, durable workflows, memory, MCP tool support, and built-in observability so prototypes can scale into production.
免费 / 开源Mastra is an open-source TypeScript framework for building, deploying, and observing AI agents and workflows. It gives JavaScript developers typed agents, durable workflows, memory, MCP tool support, and built-in observability so prototypes can scale into production.
免费 / 开源面向编码智能体的 Fast Apply 与智能体调优推理