Mastra vs Scrapegraph-ai

Side-by-side comparison of two AI agent tools

Short answer

  • Scrapegraph-ai has had no commit in 6 months; Mastra is actively maintained (4,109 commits in the last 90 days).
  • Scrapegraph-ai is growing faster: +1,928 GitHub stars in the last 30 days vs +968 for Mastra.
  • Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents. Pick Scrapegraph-ai for: python scraper based on AI.

From GitHub data refreshed daily.

Mastrafree

From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

Scrapegraph-aiopen-source

Python scraper based on AI

Metrics

MastraScrapegraph-ai
Stars28.5k23.1k
Star velocity /mo968.36842105263161.9k
Commits (90d)4.1k—
Releases (6m)1010
Downloads (30d, npm + PyPI)3.1M—
Overall score0.89837236047431850.6290716468546114

Pros

  • +统一的多提供商接口支持 40+ AI 模型提供商，避免供应商锁定
  • +完整的 AI 应用工具链包括代理、工作流、人机交互和上下文管理
  • +TypeScript 原生支持和现代技术栈集成，开发体验优秀
  • +基于 LLM 的智能解析，无需手写复杂的选择器规则
  • +支持多种数据格式（网站、XML、HTML、JSON、Markdown），具有广泛的适用性
  • +自然语言交互方式，大幅降低使用门槛，提高开发效率

Cons

  • -作为相对较新的框架，生态系统和社区资源可能有限
  • -多功能集成可能带来学习曲线，需要时间掌握各个组件
  • -文档和最佳实践可能还在完善中，缺少大规模生产案例
  • -依赖大语言模型，可能产生额外的 API 调用成本
  • -AI 推理过程可能比传统爬虫速度较慢
  • -对于大规模、高频率的数据抓取场景，性能可能不如专门优化的传统爬虫

Use Cases

  • •构建需要多个 AI 模型协作的复杂智能代理系统
  • •开发需要人机交互审批流程的自动化工作流应用
  • •快速原型验证 AI 产品概念并扩展到生产环境
  • •电商网站产品信息批量提取和价格监控
  • •新闻文章和博客内容的自动化采集和分析
  • •企业数据迁移中多种格式文档的结构化数据提取
View Mastra DetailsView Scrapegraph-ai Details

FAQ

Which is more popular, Mastra or Scrapegraph-ai?
Mastra has more GitHub stars (28,525 vs 23,140).
Should I use Mastra or Scrapegraph-ai?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.