4 Repos
Utilities for parsing and structuring information from web pages.
Distinguishing note: Focuses on the extraction and parsing aspect of web scraping.
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Agent-Reach is an AI agent web gateway and search tool that provides language models with the ability to search and read content from the open web, social media, and community forums without using official APIs. It functions as a routing layer that connects large language models to various internet backends while managing content parsing and connection health. The system enables API-free information retrieval by using open-source backends to extract text and metadata from platforms such as Twitter, Reddit, and YouTube. It converts unstructured website content, RSS feeds, and video transcripts
Provides a command line interface for parsing and structuring information from web pages and forums.
Colly is a high-performance web scraping framework designed for the automated extraction of structured data from websites. It provides a programmable toolkit that manages the complexities of large-scale data collection, including concurrent request orchestration, automatic cookie handling, and robots.txt compliance. By utilizing an asynchronous execution model, the engine maintains high throughput while preventing resource exhaustion during recursive or distributed crawling tasks. The framework is distinguished by its modular, event-driven architecture, which allows developers to hook into sp
Automates the retrieval and parsing of structured information from websites to build datasets.
WebAgent is an autonomous web navigation agent and research system designed to browse the internet and synthesize information to answer complex queries. It functions as a reasoning orchestrator that navigates the web iteratively to perform deep research and extract structured data. The project includes a reinforcement learning training pipeline that generates synthetic interaction datasets for model pre-training and fine-tuning. It employs token-level policy gradients to stabilize training in non-stationary environments and uses a dual-mode inference scaling mechanism to balance execution bet
Parses and structures information from both online web pages and local documents.
Dieses Projekt ist eine Python-Bibliothek für Web Scraping und eine automatisierte Datensammlungssuite. Sie bietet Tools zum Extrahieren strukturierter Daten von Websites, zur Implementierung von Web-Crawlern für die Navigation durch Site-Links sowie zum Parsen von HTML-DOM-Strukturen, um spezifische Elemente und Attribute zu isolieren. Das Toolkit enthält eine Pipeline zur Verarbeitung unstrukturierter Texte und zur Bereinigung von Rohdaten aus dem Web, um aussagekräftige Informationen zu extrahieren. Es bietet zudem Funktionen für die Bilddatenextraktion und die Integration externer APIs, um strukturierte Daten von Remote-Endpunkten abzurufen. Das System deckt breite Funktionsbereiche ab, darunter automatisierte Web-Datenextraktion, Web-Crawling-Workflows sowie Techniken zur Umgehung von Scraping-Hindernissen mittels Proxys und CAPTCHA-Solvern.
Implements utilities for parsing and structuring specific information extracted from web pages.