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colly - Elegant Scraper and Crawler Framework for Golang
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Colly provides a clean interface to write any kind of crawler/scraper/spider. With Colly you can easily extract structured data from websites, which can be used for a wide range of applications, like data mining, data processing or archiving.
http://go-colly.org/https://github.com/gocolly/colly
| Tags | scraper framework crawler scraping crawling spider |
| Implementation | Go |
| License | Apache |
| Platform | Windows MacOS Linux |
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colly - Fast and Elegant Scraping Framework for Gophers
Colly provides a clean interface to write any kind of crawler/scraper/spider.With Colly you can easily extract structured data from websites, which can be used for a wide range of applications, like data mining, data processing or archiving.
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Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.
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ferret is a web scraping system aiming to simplify data extraction from the web for such things like UI testing, machine learning and analytics. Having its own declarative language, ferret abstracts away technical details and complexity of the underlying technologies, helping to focus on the data itself. It's extremely portable, extensible and fast. The following example demonstrates the use of dynamic pages. First of all, we load the main Google Search page, type search criteria into an input box and then click a search button. The click action triggers a redirect, so we wait till its end. Once the page gets loaded, we iterate over all elements in search results and assign the output to a variable. The final for loop filters out empty elements that might be because of inaccurate use of selectors.
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Crawlers based on simple requests to HTML files are generally fast. However, it sometimes ends up capturing empty bodies, especially when the websites are built on such modern frontend frameworks as AngularJS, React and Vue.js. Note: headless-chrome-crawler contains Puppeteer. During installation, it automatically downloads a recent version of Chromium. To skip the download, see Environment variables.
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grab - Web Scraping Framework
Project Grab is not abandoned but it is not being actively developed. At current time I am working on another crawling framework which I want to be simple, fast and does not leak memory. New project is located here: https://github.com/lorien/crawler First, I've tried to use mix of asyncio (network) and classic threads (parsing HTML with lxml on multiple CPU cores) but then I've decided to use classic threads for everything for the sake of simplicity. Network requests are processed with pycurl because it is fast, feature-rich and supports socks5 proxies. You can try new framework but be aware it does not have many features yet. In particular, its options to configure network requests are very pure. If you need some option, feel free to create new issue.
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A high performance web crawler in Elixir, with worker pooling and rate limiting via OPQ. Below is a very high level architecture diagram demonstrating how Crawler works.
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grab-site is an easy preconfigured web crawler designed for backing up websites. Give grab-site a URL and it will recursively crawl the site and write WARC files. Internally, grab-site uses wpull for crawling. a dashboard with all of your crawls, showing which URLs are being grabbed, how many URLs are left in the queue, and more.
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See the video on the Youtube.It contains two modes, the standard mode and the crawling mode. The standard mode follows the BEPs, and you can use it as a standard dht server. The crawling mode aims to crawl as more metadata info as possiple. It doesn't follow the standard BEPs protocol. With the crawling mode, you can build another BTDigg.
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Yioop is an open source, PHP search engine capable of crawling, index, and providing search results for hundred of millions of pages on relatively low end hardware. It can index a variety of text formats HTML, RSS, PDF, RTF, DOC and images GIF, JPEG, PNG, etc. It can import data from ARC, WARC, Media-Wiki, Open Directory RDF. It is easily localized to many languages. It has built-in support for new feeds, discussion groups, blogs, and wikis. It also supports mixing indexes to create mash ups.
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Grub Next Generation is distributed web crawling system (clients/servers) which helps to build and maintain index of the Web. It is client-server architecture where client crawls the web and updates the server. The peer-to-peer grubclient software crawls during computer idle time.
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Norconex HTTP Collector is a web spider, or crawler that aims to make Enterprise Search integrators and developers's life easier. It is Portable, Extensible, reusable, Robots.txt support, Obtain and manipulate document metadata, Resumable upon failure and lot more.
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