
Scrapeer
com.scrapeer由 scrapeer.com 發布v0.1.1更新於 Oct 25, 2026
Run Scrapeer visual web-scraping flows from AI agents.
概覽
Scrapeer 將 AI 助理連接到 Scrapeer 平台,讓它能執行、檢視、建立與修改已儲存的可視化網頁擷取流程,並讀取結果。
- 可以做什麼
- 列出並檢視已儲存的擷取流程、區塊目錄與帳戶資訊,並在儲存前對流程 JSON 做試跑驗證。觸發雲端執行、等待結果、查看執行狀態、取得結構化輸出與逐區塊執行步驟、列出執行歷史並取消進行中的執行。建立空白流程、整份覆寫流程定義,或執行新增與移除區塊及連線的細部修補操作。
- 適用情境
- 適合已在 Scrapeer 視覺化編輯器中建立擷取流程,並希望由助理觸發流程、取得結構化結果、排查失敗的執行,或組合與調整流程而不必手寫 JSON 的情境。
- 執行需求
- 透過 stdio 在本機執行,通常以 npx 啟動,因此需要 Node.js。需要 Scrapeer 帳戶,並透過 SCRAPEER_API_KEY 環境變數提供 API 金鑰。雲端執行取決於帳戶額度與雲端執行可用性。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Scrapeer,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
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.
來源:README.md,提交 cf66678
工具
0版本歷史
1- v0.1.1最新Sep 16, 2026
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