scrapegraphaivskimurai
ScrapeGraphAI is a Python library that uses large language models (LLMs) to create web scraping pipelines automatically. Instead of writing CSS selectors or XPath expressions, you describe what data you want in natural language and provide a Pydantic schema — the library handles the rest.
Key features include:
- Natural language extraction Describe what you want to extract in plain English (e.g., "Extract all product names and prices") and the LLM figures out how to find and extract the data.
- Pydantic schema output Define the expected output structure using Pydantic models for type-safe, validated extraction results.
- Graph-based pipeline Built on a directed graph architecture where each node performs a specific task (fetching, parsing, extracting, merging). This makes pipelines modular and debuggable.
- Multiple graph types SmartScraperGraph (single page), SearchGraph (search + scrape), SpeechGraph (audio output), and more specialized pipelines.
- Multiple LLM providers Works with OpenAI, Anthropic, Google, Groq, local models via Ollama, and more.
- HTML and JSON support Can extract data from both HTML pages and JSON API responses.
ScrapeGraphAI is particularly useful for rapid prototyping of scrapers and for extracting data from pages with complex or frequently changing layouts where traditional selectors would be brittle.
Kimurai is a modern web scraping framework for Ruby, inspired by Python's Scrapy. It provides a structured approach to building web scrapers with built-in support for multiple browser engines, session management, and data pipelines.
Key features include:
- Multiple engine support Can use different backends depending on the scraping needs: Mechanize for simple HTTP requests, Selenium with headless Chrome/Firefox for JavaScript-rendered pages, and Poltergeist (PhantomJS) for lightweight rendering.
- Scrapy-like architecture Follows the spider pattern: define a spider class with start URLs and parsing methods, and the framework handles crawling, scheduling, and data collection.
- Built-in data pipelines Save scraped data to JSON, CSV, or custom formats with configurable output pipelines.
- Session management Maintains browser sessions with automatic cookie handling and configurable delays between requests.
- Request scheduling Built-in request queue with configurable concurrency, delays, and retry logic.
- CLI tools Command-line tools for generating new spiders, running individual spiders, and managing scraping projects.
Kimurai is the closest Ruby equivalent to Scrapy. It's well-suited for structured scraping projects that need organization, multiple spiders, and data pipeline processing.
Note: Kimurai has not seen active development recently, but it remains a useful framework for Ruby scraping projects and is included as the most complete Ruby scraping framework available.