invisible_playwright_mcp
★ 876
vs
fitter
★ 133
invisible_playwright_mcp vs fitter
invisible_playwright_mcp: This project provides an AI browser agent designed to bypass anti-bot systems, making it invisible to detection. It can be used either as a plugin for various AI assistants or as a standalone web UI for complex web automation tasks.; fitter: Fitter is a declarative tool that transforms any website or API into structured JSON, eliminating the need for brittle scraping scripts. It's designed for AI agents, allowing Large Language Models to author, validate, and execute data extraction pipelines locally, on demand.
01
TL;DR
invisible_playwright_mcpBrowser Automation · ★ 876
Automating dynamic web content retrieval
fitterLLM Infra · ★ 133
Scrape data from websites without APIs and enrich it with data from external APIs (e.g., GitHub trending repos scraped from HTML, then enriched via GitHub REST API).
02
Side-by-Side Comparison
Field
invisible_playwright_mcpfitterCategory
Browser Automation
LLM Infra
Stars
★ 876
★ 133
License
MIT
MIT
Install Command
curl -LsSf https://astral.sh/uv/install.sh | sh && source $HOME/.local/bin/env && uvx invisible-playwright-mcp
go build -o fitter_mcp ./cmd/mcp && claude mcp add fitter -s user -- "$(pwd)/fitter_mcp"
Updated
2d ago
1mo ago
Open Source
Yes
Yes
Tags
Browser Automation, Anti-Bot, AI Agent
Web Scraping, Data Extraction, AI Agents
03
Features
invisible_playwright_mcp01Invisible to anti-bot systems
02Human-like web interaction (drives page like a person)
03Multiple usage modes (assistant plugin or standalone web UI)
04Extensive configuration options (proxy, model, profile, seed)
05LLM integration via OpenRouter
fitter01Declarative & Auditable Configuration: AI agents produce readable, savable, and re-runnable configurations instead of throwaway code.
02Local-first Data Fetching: All data fetching occurs on the user's machine, eliminating reliance on third-party scraping APIs or per-request billing.
03Batteries Included: Provides a comprehensive set of tools including HTTP client, headless browser (Playwright/Chromium/Docker), various parsers (JSON, HTML, XML, XPath), pagination, caching, and rate-limiting.
04Multiple Usage Modes: Can be used as an MCP server for AI clients, an AI-powered CLI agent, a local CLI, an embeddable Go library, or a long-running service.
05LLM Integration via MCP: Exposes a Model Context Protocol (MCP) server, enabling Claude Code, Claude Desktop, and other MCP clients to author and run scraping pipelines.
04
Use Cases
invisible_playwright_mcp↳Automating dynamic web content retrieval
↳Navigating complex websites and filling forms
↳Real-time price comparison and monitoring
↳General browser-based task automation
fitter↳Scrape data from websites without APIs and enrich it with data from external APIs (e.g., GitHub trending repos scraped from HTML, then enriched via GitHub REST API).
↳Extract structured information from dynamic web pages using headless browsers for JavaScript-rendered content.
↳Automate data collection for AI agents, allowing them to dynamically generate and execute data extraction configurations based on natural language requests.
↳Generate static data sequences or transform data fields based on calculated expressions.
↳Write extracted results to local files in various formats (e.g., CSV) for reporting or further processing.
FAQ
FAQ
What is the difference between invisible_playwright_mcp and fitter?
Both invisible_playwright_mcp and fitter are in the Browser Automation category. invisible_playwright_mcp has 876 stars, while fitter has 133 stars.
Which is better, invisible_playwright_mcp or fitter?
The best choice depends on your use case. Choose invisible_playwright_mcp if Automating dynamic web content retrieval, and fitter if Scrape data from websites without APIs and enrich it with data from external APIs (e.g., GitHub trending repos scraped from HTML, then enriched via GitHub REST API)..
Is invisible_playwright_mcp free or open source?
Yes, invisible_playwright_mcp is open source on GitHub (MIT).
Is fitter free or open source?
Yes, fitter is open source on GitHub (MIT).
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