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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 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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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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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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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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