Search Results for "open office objects"

Fess is an open source enterprise search server designed to provide powerful full-text search capabilities across multiple data sources. It enables organizations to quickly deploy a scalable search environment without requiring deep knowledge of underlying search technologies. Fess is built on top of OpenSearch and offers an integrated solution for crawling, indexing, and searching documents from websites, file systems, and various data stores.

scrape-it is a Node.js library for converting web pages and HTML documents into structured JavaScript objects. Developers describe the desired output through a declarative schema based on CSS selectors. Fields can extract text, raw HTML, element attributes, repeated items, and nested lists. Conversion functions can transform captured values into dates, numbers, or other application-specific types. The library supports promises, async and await workflows, and callback-based usage. It can...

Supports strings, arrays, arrays of objects, and nested object structures. The schema is not tied to the structure of the page you're scraping, allowing you to pull the data in the structure of your choosing. The API is entirely composable, giving you great flexibility in how you scrape each page. Paginate through websites, scraping each page. X-ray also supports a request delay and a pagination limit. Scraped pages can be streamed to a file, so if there's an error on one page, you won't...

This library intends to make parsing HTML (e.g. scraping the web) as simple and intuitive as possible. When using this library you automatically get full JavaScript support! (Using Chromium, thanks to puppeteer) CSS Selectors (a.k.a jQuery-style, thanks to PyQuery). XPath Selectors, for the faint of heart. Mocked user-agent (like a real web browser). Automatic following of redirects. Connection–pooling and cookie persistence. The Requests experience you know and love, with magical parsing...

...Internally, the library separates its functionality into several layers including an API interface, request handling, and response parsing components to organize the crawling workflow. These components work together to process HTTP requests, handle verification mechanisms, and transform HTML or JSON responses into usable objects. Developers can integrate the library into scripts or larger data collection systems to automate gathering content from public accounts.