#data extraction

LLM Scraper is a versatile TypeScript library designed to facilitate the extraction of structured data from any webpage using Large Language Models (LLMs). Compatible with multiple providers such as local platforms like Ollama and remote services including OpenAI and Vercel AI SDK, it ensures robust versatility. The library integrates features like schema definitions via Zod, type safety with TypeScript, and various data formatting modes including HTML, markdown, text, and image. It operates on the Playwright framework and incorporates a new code-generation capability for reusable scripts, along with support for streaming data. A valuable tool for developers focused on efficient web scraping.

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.

Explore Sparrow's open-source capabilities in efficiently extracting and processing data from various documents and images. Its modular architecture enables flexible, high-performance implementation both locally and on the cloud. Tools like Sparrow Parse with vision-language models facilitate the production of structured data and seamless workflow integration. The API supports building robust LLM agents for handling unstructured data efficiently.

Parsr offers an efficient process for cleaning, parsing, and extracting data from a variety of document formats such as images, PDFs, and DOCX. It transforms documents into structured data compatible with formats like JSON, Markdown, CSV, and TXT, facilitating automation and improving efficiency for data professionals. Features include hierarchy regeneration and detection of headings, tables, and other elements. Flexible installation options using Docker or bare-metal setups cater to different user needs, making it suitable for document analysis and data management applications.

GROBID is a machine learning library that transforms scientific PDFs into structured XML/TEI formats, with functionalities such as header and reference extraction. Known for its accuracy, GROBID is used by platforms like Semantic Scholar and ResearchGate, offering API, Docker, and batch processing for efficient deployment across Linux and macOS.

Crawl4AI provides a web crawling solution tailored for AI applications, featuring asynchronous processing, multi-browser compatibility, and robust anti-bot strategies. Its LLM-optimized output formats and customizable data extraction options support JSON, HTML, and markdown structures. Recent enhancements include markdown extraction and refined chunking approaches that enhance performance, offering developers a powerful tool for data extraction without exaggeration.

GenAIScript provides a versatile scripting environment for building and managing Large Language Model prompts, utilizing JavaScript and TypeScript. It offers integration with Visual Studio Code and command line tools, supports schema-based data management, and allows handling of various file types such as PDFs and CSVs. Additional tools include GitHub Models, LocalAI, and Docker containers for expanded functionality. The platform supports sandboxed code execution and LLM composition, enhancing automation with CLI integration. Suitable for developers, data scientists, and researchers seeking efficient script workflows.

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.