Search Results for "linux deploy"

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. Fess includes a built-in crawler that can...

Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. Someone who has worked as a crawler with Python may use Scrapy. Scrapy is indeed a very powerful crawler framework. It has high crawling efficiency and good scalability. It is basically a necessary tool for developing crawlers using Python. If you use Scrapy as a crawler, then of course we can use our own host to crawl when crawling, but when the crawl is very large, we can’t...

Scrapyd can manage multiple projects and each project can have multiple versions uploaded, but only the latest one will be used for launching new spiders. A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. For example: r23. The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an...

GOPA, a spider written in Golang, for Elasticsearch. Lightweight, low footprint, memory requirement should, be 100MB. Easy to deploy, no runtime or dependency required. Easy to use, no programming or script ability needed, out-of-box features. First of all, get it, two opinions: download the pre-built package or compile it yourself. Besides Elasticsearch, Gopa doesn't require any other dependencies, just simply run ./gopa to start the program. It's safety to press ctrl+c to stop the current...

pyspider is a powerful Spider(Web Crawler) system in Python. Components are connected by message queue. Every component, including message queue, is running in their own process/thread, and replaceable. That means, when process is slow, you can have many instances of processor and make full use of multiple CPUs, or deploy to multiple machines. This architecture makes pyspider really fast. benchmarking. Since pyspider has various components, you can just run pyspider to start a standalone and...