OttoAI代理，自动从网站、文档和API中收集数据。

4.5 (4)

审阅者 Daniel Nikulshyn·更新 2026年5月

No-Code AI Agents Web Scraping Data Extraction Automation Research Enrichment

概览

Otto 是一款 AI 驱动的自动化平台，帮助团队在不编写代码的情况下收集、结构化和丰富数据。用户可以设置任务表格，每一行代表一个工作，每一列则是负责抓取网站、解析文档、执行搜索或调用 API 的 AI 代理。该工具专为研究密集型工作流程而设计，如线索丰富、市场分析、尽职调查和竞争情报。Otto 能够并行完成浏览、提取和总结，返回可导出或推送到现有系统的结构化输出。

主要功能

AI代理以表格视图组织
网页浏览和自动化抓取
文档和PDF数据提取
批量处理数千个任务
结构化输出和导出
与外部数据源的集成

价格

模型: Freemium
分类: Research Assistants
评分: 4.5 / 5 (4)

使用场景

批量客户数据库填充

通过分配AI代理来抓取网站和调用API，在短时间内将客户数据、联系方式和企业信息填充到数个客户名单中

市场和竞争分析

通过自动化的网络搜索、网站监测和内容摘要，跟踪竞争对手，并得到分析师批判性评估的结构化输出

大规模文件数据提取

从大批量的PDF和报告中提取关键信息、数据和条款，组织结果为更快的勤勉工作流

大规模研究数据收集

在短时间内运行大批量的研究任务，结合浏览、提取和API调用，在现有的系统中将数据构建成结构化数据集

优点 & 缺点

优点

无代码式的界面，接近于电子表格，可以在短时间内进行任务的编排，
在许多行上同时执行任务
同时处理网络爬虫和文档解析
适合于研究和增值工作流程

缺点

依赖于命令的清晰度
高容量时成本很高
相对来说，控制比较有限

评测

4.5

4 个评分的平均值。

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Yuki Mori

Apr 27, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on web browsing and scraping automation, and no-code spreadsheet-style interface caught me off guard. Can be costly at high volumes is why this isn't a perfect score, still, I'd recommend giving it a real trial.

George Papadakis

Jan 18, 2026

Use it every day

Honestly didn't expect to like it this much. Document and PDF data extraction is exactly what I needed, and runs tasks in parallel across many rows. I do wish output quality depends on prompt clarity, but I reach for it almost every day now and it just clicks.

Priya Nair

Dec 28, 2025

Use it every day

Honestly didn't expect to like it this much. AI agents organized in a table view is exactly what I needed, and good fit for research and enrichment workflows. I do wish can be costly at high volumes, but I reach for it almost every day now and it just clicks.

Hiroshi Tanaka

Aug 20, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is aI agents organized in a table view — handled better than most — and good fit for research and enrichment workflows. Output quality depends on prompt clarity is my one real gripe. Worth the time if this is your use case.

问答

What are Otto's main limitations?

Otto can become costly at high volumes and offers less fine-grained control than custom scripts. Results also depend heavily on prompt clarity, so ambiguous instructions can lead to inconsistent extractions.

What use cases is Otto best suited for?

Otto is built for research-heavy workflows such as lead enrichment, market analysis, due diligence, and competitive intelligence. It works well when you need to collect, structure, and enrich data from websites, documents, or APIs across many tasks at once.

Do I need coding skills to use Otto?

No. Otto offers a no-code, spreadsheet-style interface where each row is a task and each column is an AI agent. However, output quality depends on how clearly you write your prompts, so some iteration may be needed.