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DeepSFetch

DeepSFetch

Remote
deepsfetch.comBrowser Automation4Updated 2w ago

About DeepSFetch

DeepSFetch Developer Kit provides JavaScript and Python clients, a CLI, n8n integration code, and guidance for connecting to the hosted web-collection service. It is for developers building web extraction and automation workflows; the collection engine and remote MCP implementation are hosted, not included.

Key features

  1. 01JavaScript and Python API clients
  2. 02CLI for collection jobs and estimates
  3. 03n8n node and workflow templates
  4. 04Idempotency keys and credit limits
  5. 05Structured extraction with field validation

Use cases

  1. 01Collect content from public web pages
  2. 02Monitor product prices with n8n
  3. 03Extract structured product listings
  4. 04Prepare documentation for AI or RAG pipelines

MCP support

The repository includes a guide for connecting to DeepSFetch's hosted remote MCP server, but not the server implementation itself. The hosted service provides the remote MCP endpoint.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.deepsfetch.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.deepsfetch.com/mcpAuth required

Tools

Details

From the project README

English | Português

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.

Ready TemplateUse CaseWhat It Extracts & DeliversSetup & Download
Price MonitoringTrack product price changes on a scheduleValidated name, price, and currency (JSON-LD / CSS) with baseline comparisonConfigure & Download JSON · n8n Guide
Product CatalogExtract up to 100 items from a listing pageStructured item arrays with per-item field validation (no pagination)Configure & Download JSON · n8n Guide
AI / RAG DocumentationFeed clean documentation into vector stores or LLMsSource metadata, stable document IDs, content hash (change detection), and chunksConfigure & Download JSON · n8n Guide
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:

npm install n8n-nodes-deepsfetch

(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:

$env:DEEPSFETCH_API_KEY = 'YOUR_DEEPSFETCH_API_KEY'
node examples/scrape.mjs https://example.com

macOS / Linux:

export DEEPSFETCH_API_KEY='YOUR_DEEPSFETCH_API_KEY'
node examples/scrape.mjs https://example.com

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

ToolInstall or guideWhat is included
JavaScript SDKnpm install @deepsfetch/sdkAPI v2 client and job polling
CLInpm install -g @deepsfetch/cliCommands for collection, jobs and estimates
Python SDKpython -m pip install ./packages/deepsfetch-sdk-pythonSource installation; PyPI release pending
MCPRemote connection guideConfiguration for the hosted MCP endpoint
n8nnpm install n8n-nodes-deepsfetch · GuideSource for the npm-published community node

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:

deepsfetch scrape --file examples/scrape-request.json --wait

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

CapabilityIn this repositoryHosted DeepSFetch
JavaScript SDK, Python SDK, CLISource and testsConnect to API v2
n8n community nodeSource distributed as JavaScriptCalls collection integration endpoints
MCPConnection guideRemote server
Collection engine, browser infrastructureNot includedManaged by DeepSFetch
Accounts, credits, billing and dashboardNot includedManaged by DeepSFetch

Develop locally

npm install --ignore-scripts
npm test
npm run check

Run Python tests from the repository root:

python -m pip install ./packages/deepsfetch-sdk-python
python -m unittest discover -s packages/deepsfetch-sdk-python/tests

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.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.