Dataflow kit ("DFK") is a Web Scraping framework for Gophers. It extracts data from web pages, following the specified CSS Selectors.
Principalele funcționalități ale slotix/dataflowkit sunt: Cloud Infrastructure, Go Crawling Frameworks, Text Processing.
Alternativele open-source pentru slotix/dataflowkit includ: asciimoo/colly — Colly is a web scraping framework and concurrent crawler written in Go. It provides a system for traversing web pages,… moabukar/tech-vault — tech-vault is a command-line technical interview bank and knowledge base designed for practicing engineering questions… adrianmo/go-nmea. ai/nanoid — Nanoid is a library for generating unique, fixed-length identifiers designed for distributed systems and database… alecthomas/chroma — Chroma is a syntax highlighter written in Go that converts raw source code into colorized text or HTML. It identifies… aerogo/codetree.
Colly is a web scraping framework and concurrent crawler written in Go. It provides a system for traversing web pages, following links, and extracting structured data from HTML and XML documents. The framework includes a distributed scraping engine designed to spread data collection tasks across multiple instances to increase throughput. It ensures compliance with website owner policies by automatically reading and respecting robots.txt files. The system manages request lifecycles through domain-based rate limiting, concurrency controls, and session management via a stateful cookie jar. It s
tech-vault is a command-line technical interview bank and knowledge base designed for practicing engineering questions across various technical domains. It functions as a terminal-based application that stores structured study materials and interview questions as markdown files, which are then rendered directly within the system console. The project distinguishes itself through a delivery model that uses command-line argument parsing to filter content by topic or difficulty. It also includes a random selection algorithm to pick individual questions from the collection for spontaneous study se