
Scrapeer
com.scrapeer由 scrapeer.com 发布v0.1.1更新于 Oct 25, 2026
Run Scrapeer visual web-scraping flows from AI agents.
概览
Scrapeer 将 AI 助手连接到 Scrapeer 平台,使其能够运行、查看、创建和修改已保存的可视化网页抓取流程,并读取结果。
- 可以做什么
- 列出并查看已保存的抓取流程、区块目录和账户信息,并在保存前对流程 JSON 做试运行校验。触发云端运行、等待结果、查看运行状态、获取结构化输出和逐区块执行步骤、列出运行历史并取消进行中的运行。创建空流程、整体覆盖流程定义,或执行添加和删除区块与连线的细粒度补丁操作。
- 适用场景
- 适合已在 Scrapeer 可视化编辑器中搭建抓取流程、并希望由助手触发流程、获取结构化结果、排查失败运行,或组装和调整流程而无需手写 JSON 的场景。
- 运行要求
- 通过 stdio 在本地运行,通常用 npx 启动,因此需要 Node.js。需要 Scrapeer 账户,并通过 SCRAPEER_API_KEY 环境变量提供 API 密钥。云端运行取决于账户额度和云端运行可用性。
安装
在 SourceWeft 中
- 打开 控制台中的 Scrapeer,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
Scrapeer MCP Server
Run Scrapeer visual web-scraping flows from Claude Code, Codex, Cursor, and VS Code Copilot.
Scrapeer is a visual browser automation and web scraping platform for people who do not want to write scrapers from scratch. Build deterministic scraping workflows in a drag-and-drop editor, watch the browser run step by step, then run those same flows locally or in Scrapeer's cloud.
This MCP server connects AI agents to Scrapeer so they can:
- run saved scraping flows and retrieve structured results
- inspect flow definitions, block configs, execution steps, and run history
- create or patch flows using Scrapeer's block catalog and validation APIs
- check account credits and cancel active cloud runs
The result is a useful split of responsibilities: humans design reliable browser workflows in Scrapeer, and agents can trigger, monitor, debug, and extend those workflows through MCP.
[Scrapeer visual flow editor with live browser execution]
Why Scrapeer
Scrapeer is built for glass-box scraping: you can see exactly what the scraper does, inspect each block's output, and fix the workflow when a site changes. Instead of asking an agent to improvise browser steps every time, Scrapeer gives agents a reliable set of saved, validated workflows they can run on demand.
Quick Start
Create a Scrapeer API key at https://app.scrapeer.com/settings#security, then add the server to your MCP client. These examples use npx so users do not need to install the package globally.
Claude Code (.mcp.json)
For a project-scoped Claude Code config, create .mcp.json in the project root:
For a private user-scoped config, run claude mcp add --scope user --env SCRAPEER_API_KEY=sk_... scrapeer -- npx -y @scrapeer/mcp-server so Claude writes the correct ~/.claude.json entry for your machine.
Codex CLI and IDE extension (~/.codex/config.toml)
Cursor (~/.cursor/mcp.json or .cursor/mcp.json)
VS Code Copilot (.vscode/mcp.json)
Available Tools
Read
Run
Mutate
Building flows: recommended sequence
The mutation tools enforce optimistic concurrency. Every save sends the version stamp the caller saw on its last read, and the gateway rejects stale writes with 409 so concurrent edits from a human in the editor and an LLM via MCP cannot silently overwrite each other. The MCP server tracks this version stamp automatically across calls in the same session, so the LLM does not have to manage it manually.
Typical sequences:
Create from scratch:
Modify an existing flow:
If a 409 fires, the cached event_id is invalidated automatically. Re-call scrapeer_get_flow and retry the mutation.
Configuration
Development
Tests use msw to mock the Scrapeer API. No real credentials are needed.
来源:README.md,提交 cf66678
工具
0版本历史
1- v0.1.1最新Sep 16, 2026
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