#web scraping

ScrapeGraphAI is an open-source Python library designed for efficient data extraction using language models and graph logic. It supports extraction from both websites and local files such as XML, HTML, and JSON. The library offers flexible pipeline creation for various scraping needs, additional language model integrations, and advanced semantic processing tools. Easy to install via PyPI, it also provides features for script generation and audio output. Enhanced by OpenAI support and local model options, it serves as a versatile solution for web scraping tasks.

Finic provides robust browser infrastructure for developers crafting web scrapers, automated browsers, and AI agents in Python. It supports seamless remote control of cloud-based browsers using Playwright, Puppeteer, or Selenium, ensuring uninterrupted automation. Supported by Y Combinator, Finic offers essential browser and network utilities, allowing easy integration into existing projects or local deployment.

This GPT-4-powered web scraper allows precise data extraction from HTML sources using user-defined criteria. It automates scraping code generation and execution, simplifying data retrieval. Requires Python setup and API key configuration, supporting URLs and local files for flexible usage. Ideal for developers seeking a command-line tool.

AutoScraper provides an efficient solution for automatic web scraping in Python, known for its user-friendly operation, speed, and minimal resource usage. It learns scraping patterns from provided data or URLs to gather similar content from additional pages. Compatible with Python 3, installation is possible through Git or PyPI. It's effective for retrieving data like StackOverflow question titles or Yahoo Finance stock prices. The tool supports custom requests with proxies or headers for greater flexibility. Model saving/loading enhances reusability, while tutorials offer guidance for advanced applications including API development with Flask.

Trafilatura is a versatile Python package and CLI tool for efficient text extraction from the web. It transforms raw HTML into structured data, filtering out unwanted elements. Without requiring a database, it supports multiple output formats including JSON, CSV, and XML, making it suitable for both academic and professional applications in NLP and social sciences due to its superior benchmark performance.

Crawlee is an open-source tool for web scraping and browser automation, designed to efficiently navigate modern bot defenses while maintaining human-like behavior. It supports both HTTP and headless browser crawling through a single interface, offering flexible data extraction and storage. Features include pluggable storage options, proxy rotation, customizable hooks, and integration with tools such as Playwright and Puppeteer. Deployment via Docker or the Apify platform is straightforward, facilitating scalability and persistent queue management for maximum efficiency. This makes Crawlee a practical choice for developers in need of a robust and adaptable web scraping solution.

markdown-crawler facilitates document extraction by generating markdown files from webpages using multithreaded crawling. It offers threading support, URL validation, and base path customization, making it essential for RAG applications and LLM fine-tuning. Utilizing BeautifulSoup for HTML parsing, the CLI interface allows setting parameters like crawl depth and seamless scraping continuation while featuring verbose logging for monitoring.

The project provides a web scraping tool that transforms search results into Markdown format through FastAPI, SearXNG, and Browserless. It features proxy support for anonymity and utilizes AI for precise search result filtering. Designed for developers, it simplifies converting HTML to Markdown and retrieving web and YouTube data while securely leveraging proxies. Comparable tools include Jina.ai and alternative solutions, each offering unique web scraping and search functionalities.

The tool offers advanced functionalities to extract public data from platforms such as Xiaohongshu, Douyin, and Kuaishou, utilizing Playwright to overcome encryption challenges in data access. Key features include keyword searches, post ID retrieval, and comment visualization. It supports Linux installation and handles multiple accounts, strictly for educational purposes and personal exploration.

Discover how the experimental scrapeghost library leverages OpenAI GPT for precise and efficient web scraping. Key features include Python-based schema definitions, HTML cleaning, selector tools, and an auto-splitting function for effective large-page processing. Postprocess with JSON and schema validation, and monitor data authenticity. Manage costs with token tracking and budget settings, featuring automatic model fallbacks to reduce expenses.

Black Maria, a Python library, revolutionizes web scraping by employing natural language to access any webpage's data. Compatible with Python 3.6+, it is easily installed via pip. The library employs guardrails, guiding instructions for crafting structured output from LLMs. Black Maria effectively extracts organized data, like movie summaries and casts, streamlining tasks for developers. Installation is simplified through environment variables and easy function calls, offering precise and structured data effortlessly.