概览
主要功能
- AI驱动的网页浏览代理
- 自动表单填写和点击
- 结构化数据提取
- 基于云的执行
- 自然语言任务指令
- API和工作流集成
价格
- 模型
- Free
- 分类
- 系统机枢运器
- 评分
- 4.8 / 5 (4)
使用场景
从公共网站丰富线索
部署代理访问公司网站、LinkedIn风格的个人资料和目录,以收集和整理销售渠道的联系人和公司数据。
自动化市场研究
运行代理,浏览竞争对手网站、产品页面和新闻源,提取结构化的洞察力,供分析师使用,而不依赖于官方API。
价格和库存监控
安排基于云的代理跟踪动态电子商务网站的价格、库存水平或列表变化,并将结果馈入下游警报。
大规模表单提交
使用自然语言指令,让代理在门户网站上填写和提交网页表单,自动化重复的任务,如申请或数据录入。
优点 & 缺点
优点
- 处理动态、JavaScript繁重的网站
- 自然语言任务定义
- 适用于没有公开API的网站
- 扩展超出手动浏览器自动化
缺点
- 需要技术设置才能良好使用
- 代理可靠性取决于网站复杂性
- 成本可能随着大量使用而增长
评测
4 个评分的平均值。
登录以留下评测。
Use it every day
Honestly didn't expect to like it this much. AI-driven web browsing agents is exactly what I needed, and handles dynamic, JavaScript-heavy sites. but I reach for it almost every day now and it just clicks.
Solid for our team
We rolled this out across the team last quarter and handles dynamic, JavaScript-heavy sites. Structured data extraction fits neatly into how we already work, and natural language task instructions removed a step we used to do by hand. but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on aI-driven web browsing agents, and useful for sites without public APIs caught me off guard. Agent reliability depends on site complexity is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Solid for our team
We rolled this out across the team last quarter and handles dynamic, JavaScript-heavy sites. Natural language task instructions fits neatly into how we already work, and structured data extraction removed a step we used to do by hand. Costs can grow with heavy usage, which is the main caveat, but it has held up under daily use.
问答
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Asked by Nikolai Petrenko · Dec 15, 2025
Can Browserable handle dynamic sites?
Yes, Browserable handles dynamic sites and adapts to layout changes more flexibly than traditional scrapers by combining browser automation with language model reasoning.
Asked by Carmela Esposito · Oct 19, 2025
What is Browserable used for?
Browserable is used for automating repetitive web workflows such as research, lead enrichment, monitoring, and data collection by creating AI agents that interact with websites.
Asked by Piotr Baranowski · Oct 19, 2025
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