AgentIndex icon
AgentIndex
PyScrappy logo
PyScrappy
★ 263
vs
fitter logo
fitter
★ 133

PyScrappy vs fitter

PyScrappy: PyScrappy is an AI-native web scraping toolkit designed to transform websites into structured, LLM-ready data. It can be used as a standalone Python library or exposed as an MCP server, enabling AI agents to directly access and process web information.; 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

PyScrappy logo
PyScrappyBrowser Automation · ★ 263

Empowering AI agents (e.g., Claude, Ollama) to fetch and integrate real-time web data.

Read PyScrappy full review →
fitter logo
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).

Read fitter full review →
02

Side-by-Side Comparison

Field
PyScrappy logoPyScrappy
fitter logofitter
Category
Browser Automation
LLM Infra
Stars
★ 263
★ 133
License
MIT
MIT
Install Command
pip install pyscrappy
go build -o fitter_mcp ./cmd/mcp && claude mcp add fitter -s user -- "$(pwd)/fitter_mcp"
Updated
1d ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Web Scraping, AI Agents, LLM Data Preparation
Web Scraping, Data Extraction, AI Agents
03

Features

PyScrappy logoPyScrappy
01Generic web scraping with structured text, links, images, and tables output.
02LLM-ready output in Markdown, JSON, and DataFrame formats.
03MCP server functionality to expose scrapers as tools for AI agents.
04Optional Playwright backend for JavaScript rendering on dynamic websites.
05Support for proxies and scraping API services to bypass blocking.
fitter logofitter
01Declarative & 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

PyScrappy logoPyScrappy
↳Empowering AI agents (e.g., Claude, Ollama) to fetch and integrate real-time web data.
↳Transforming arbitrary web content into clean, structured data for large language models.
↳Collecting specific information from popular sites using dedicated built-in scrapers (e.g., Wikipedia, IMDB, Amazon).
↳Custom data extraction from any URL using CSS selectors.
↳Extending scraping capabilities through custom plugins for new data sources.
fitter logofitter
↳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 PyScrappy and fitter?
Both PyScrappy and fitter are in the Browser Automation category. PyScrappy has 263 stars, while fitter has 133 stars.
Which is better, PyScrappy or fitter?
The best choice depends on your use case. Choose PyScrappy if Empowering AI agents (e.g., Claude, Ollama) to fetch and integrate real-time web data., 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 PyScrappy free or open source?
Yes, PyScrappy is open source on GitHub (MIT).
Is fitter free or open source?
Yes, fitter is open source on GitHub (MIT).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related

Alternatives to PyScrappy →Alternatives to fitter →PyScrappy details →fitter details →