Search Results for "web crawler source code"

Career Ops is an open-source platform designed to help individuals manage their job search process with a structured, operations-style approach that treats career development like a pipeline. It provides a system for organizing job applications, tracking progress across different stages, and maintaining visibility into opportunities, much like a lightweight CRM tailored for job seekers. The project emphasizes clarity and accountability, enabling users to monitor applications, follow-ups, and...

zoekt is a fast, scalable code search engine written in Go that builds compressed indexes (shards) for source repositories and serves low-latency regex and substring queries. It optimizes for developer workflows: refresh indexes from Git, search across many repos instantly, and jump into hits with surrounding context and file navigation. The indexer uses efficient n-gram dictionaries and posting lists to keep query latency low, while storing metadata (branch, language, repo) for precise filtering. ...

Web Page Application: https://shemeshg.github.io/desktop-search/ Github: https://github.com/shemeshg/desktop-search-code * Dropbox sync is performed manually (from admin screen) and not on interval.

OpenSearchServer is a powerful, enterprise-class, search engine program. Using the web user interface, the crawlers (web, file, database, etc.) and the client libraries (REST/API , Ruby, Rails, Node.js, PHP, Perl) you will be able to integrate quickly and easily advanced full-text search capabilities in your application: Full-text with basic semantic, join queries, boolean queries, facet and filter, document (PDF, Office, etc.) indexation, web scrapping,etc. OpenSearchServer runs on...

SeerSuite is an application toolkit for digital libraries and search engines; i.e., CiteSeerX. CiteSeerX has moved to GitHub, please get the latest code from: https://github.com/SeerLabs/CiteSeerX

A configurable knowledge management framework. It works out of the box, but it's meant mainly as a framework to build complex information retrieval and analysis systems. The 3 major components: Crawler, Analyzer and Indexer can also be used separately.