Browser Use
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Description from the maker (original English)
Web scraping, extraction and search for AI agents. Hosted MCP with workspace API keys.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
AuthorizationYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http deepsfetch https://mcp.deepsfetch.com/mcp --header 'Authorization: Bearer {api_key}'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"deepsfetch": {
"url": "https://mcp.deepsfetch.com/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"deepsfetch": {
"type": "http",
"url": "https://mcp.deepsfetch.com/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Your choice stays on this device in a cookie; no account needed.
Authorization HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account ermultimidia, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (2.0.1) reached the registry 26 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
MCP server for browser use access
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
English | Português
⭐ 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.
[Complete manual: 33 step-by-step guides](docs/manual/README.en.md) — 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.
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 Template | Use Case | What It Extracts & Delivers | Setup & Download |
|---|---|---|---|
| Price Monitoring | Track product price changes on a schedule | Validated name, price, and currency (JSON-LD / CSS) with baseline comparison | Configure & Download JSON · n8n Guide |
| Product Catalog | Extract up to 100 items from a listing page | Structured item arrays with per-item field validation (no pagination) | Configure & Download JSON · n8n Guide |
| AI / RAG Documentation | Feed clean documentation into vector stores or LLMs | Source metadata, stable document IDs, content hash (change detection), and chunks | Configure & Download JSON · n8n Guide |
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):
2. Validated Output & Price Comparison (`Compare price` step with structured JSON 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.
| Tool | Install or guide | What is included |
|---|---|---|
| JavaScript SDK | npm install @deepsfetch/sdk | API v2 client and job polling |
| CLI | npm install -g @deepsfetch/cli | Commands for collection, jobs and estimates |
| Python SDK | python -m pip install ./packages/deepsfetch-sdk-python | Source installation; PyPI release pending |
| MCP | Remote connection guide | Configuration for the hosted MCP endpoint |
| n8n | npm install n8n-nodes-deepsfetch · Guide | Source 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.
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.
| Capability | In this repository | Hosted DeepSFetch |
|---|---|---|
| JavaScript SDK, Python SDK, CLI | Source and tests | Connect to API v2 |
| n8n community node | Source distributed as JavaScript | Calls collection integration endpoints |
| MCP | Connection guide | Remote server |
| Collection engine, browser infrastructure | Not included | Managed by DeepSFetch |
| Accounts, credits, billing and dashboard | Not included | Managed by DeepSFetch |
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.
MIT license applies to the tools in this repository. Using the hosted service is subject to its own terms and credit limits.
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.