
DeepSFetch
io.github.ermultimidia由 GitHub 账号 ermultimidia 发布v2.0.1更新于 Nov 2, 2026
Web scraping, extraction and search for AI agents. Hosted MCP with workspace API keys.
概览
托管式 MCP 端点,让助手为 AI 代理与自动化抓取、提取和搜索网页内容,按工作区额度计费。
- 可以做什么
- 提交网页与列表页的采集任务,可选择仅 HTTP 或启用浏览器回退。
- 轮询与恢复采集任务,并在运行前估算所需额度。
- 从 HTML、JSON-LD 或 CSS 选择器中提取名称、价格、货币等结构化字段。
- 生成带来源元数据与内容哈希的干净文档分块,供 RAG 与向量库使用。
- 为代理与自动化流程搜索网页并获取内容。
- 适用场景
- 当助手需要采集网页或列表数据、监控价格,或为 RAG 流程准备干净文档,又不想自行维护抓取与浏览器基础设施时使用。
- 运行要求
- 通过 streamable HTTP 连接的远程 MCP 端点,需在 Authorization 请求头中以 bearer 方式提供 DeepSFetch 工作区 API 密钥。需要 DeepSFetch 账号,采集会消耗工作区额度。
安装
在 SourceWeft 中
- 打开 控制台中的 DeepSFetch,将其添加到工作区。
- 连接 Authorization token 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.ermultimidia%2Fdeepsfetch/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"deepsfetch": {
"type": "http",
"url": "https://mcp.deepsfetch.com/mcp",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}README
DeepSFetch Developer Kit
⭐ If these n8n workflows, SDKs, or MCP tools save you time, please give this repository a Star on GitHub! It helps other automation builders discover the toolkit.
[DeepSFetch n8n Workflow — Automated Collection & Price Monitoring]
Complete manual: 33 step-by-step guides — API, MCP, SDKs, CLI, collections, monitors, files, integrations and billing.
Collect web content for AI agents and automation with explicit credit limits.
Open-source JavaScript and Python clients, a CLI, and n8n integration code for the hosted DeepSFetch API. Start with one public HTML page, inspect the result, and build from there.
This repository contains client-side tools. The collection engine and hosted service are not included. Running the examples requires a DeepSFetch account and API key; collection consumes workspace credits. See current plans.
Ready-to-use n8n Workflows & Community Node
Automate structured HTML extraction in n8n with explicit credit caps, idempotency keys, and field validation before sending data to your alerts, spreadsheets, or AI/RAG pipelines.
Install the n8n Community Node (n8n-nodes-deepsfetch)
For self-hosted n8n, install via the UI (Settings → Community Nodes → Install → n8n-nodes-deepsfetch) or manually in your community nodes folder:
(Using n8n Cloud? You can download the standard HTTP Request workflow templates directly from Guided Setup without installing a community node.)
📸 View n8n Node Configuration & Validated JSON Output Screenshots
1. Starting a Collection (Start Collection operation with payload & language selection):
[DeepSFetch Start Collection Node in n8n]
2. Validated Output & Price Comparison (Compare price step with structured JSON result):
[DeepSFetch Price Comparison Output in n8n]
Get your first result
Requires Node.js 22+. Create a key in API keys. From the repository root, set it for the current terminal session and run the dependency-free example:
PowerShell:
macOS / Linux:
The example submits one HTTP-only collection with a maximum of 3 DeepSFetch credits and browser fallback disabled, then polls the same job. It prints the completed job as JSON. This cap is not a promise of a free or successful collection. JavaScript-dependent pages need another configuration. See getting started for failure handling and resuming a job.
Choose your integration
The remote MCP server implementation is not included here. The n8n node is not verified by n8n. The remote MCP is listed in the official registry. Native partnerships and a self-hosted collection engine are not claimed by this repository.
CLI quickstart
After installing the CLI and setting the environment variable above:
The CLI writes its idempotency key to stderr. If a submission's outcome is unknown, retry the same request with --idempotency-key THE_SAME_KEY. Once you have a job ID, use deepsfetch job JOB_ID --wait instead of submitting another collection.
Open tools and hosted service
Develop locally
Run Python tests from the repository root:
Tests use fixtures and a local HTTP server; they do not submit paid collections. See contributing, security, and the roadmap.
Resources
MIT license applies to the tools in this repository. Using the hosted service is subject to its own terms and credit limits.
Try it and share feedback
Read the first-collection tutorial, run the operational smoke test, and share your first-run experience.
The authenticated Firecrawl comparison includes results, limitations and reproducible code. The published DEV tutorial walks through signup, first collection and MCP. Also see the Smithery listing, with instructions and limits in the MCP guide.
来源:README.md,提交 3b22714
工具
0版本历史
1- v2.0.1最新Oct 11, 2026
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