Scraping

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General

  • https://en.wikipedia.org/wiki/Digital_preservation - a formal process to ensure that digital information of continuing value remains accessible and usable in the long term. It involves planning, resource allocation, and application of preservation methods and technologies, and combines policies, strategies and actions to ensure access to reformatted and "born-digital" content, regardless of the challenges of media failure and technological change. The goal of digital preservation is the accurate rendering of authenticated content over time.



  • https://en.wikipedia.org/wiki/Web_archiving - the process of collecting portions of the World Wide Web to ensure the information is preserved in an archive for future researchers, historians, and the public. Web archivists typically employ web crawlers for automated capture due to the massive size and amount of information on the Web. The largest web archiving organization based on a bulk crawling approach is the Wayback Machine, which strives to maintain an archive of the entire Web. The growing portion of human culture created and recorded on the web makes it inevitable that more and more libraries and archives will have to face the challenges of web archiving. National libraries, national archives and various consortia of organizations are also involved in archiving culturally important Web content.


  • https://en.wikipedia.org/wiki/Data_scraping - a technique where a computer program extracts data from human-readable output coming from another program. Normally, data transfer between programs is accomplished using data structures suited for automated processing by computers, not people. Such interchange formats and protocols are typically rigidly structured, well-documented, easily parsed, and minimize ambiguity. Very often, these transmissions are not human-readable at all. Thus, the key element that distinguishes data scraping from regular parsing is that the output being scraped is intended for display to an end-user, rather than as an input to another program. It is therefore usually neither documented nor structured for convenient parsing. Data scraping often involves ignoring binary data (usually images or multimedia data), display formatting, redundant labels, superfluous commentary, and other information which is either irrelevant or hinders automated processing.


  • https://en.wikipedia.org/wiki/Web_scraping - web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may directly access the World Wide Web using the Hypertext Transfer Protocol or a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. It is a form of copying in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis.



Status / Changes

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  • Scrapy is a fast high-level screen scraping and web crawling 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.



  • kimono - Turn websites into structured APIs from your browser in seconds [3]





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  • trafilatura - a Python package and command-line tool designed to gather text on the Web. It includes discovery, extraction and text processing components. Its main applications are web crawling, downloads, scraping, and extraction of main texts, metadata and comments. It aims at staying handy and modular: no database is required, the output can be converted to various commonly used formats.Going from raw HTML to essential parts can alleviate many problems related to text quality, first by avoiding the noise caused by recurring elements (headers, footers, links/blogroll etc.) and second by including information such as author and date in order to make sense of the data. The extractor tries to strike a balance between limiting noise (precision) and including all valid parts (recall). It also has to be robust and reasonably fast, it runs in production on millions of documents.This tool can be useful for quantitative research in corpus linguistics, natural language processing, computational social science and beyond: it is relevant to anyone interested in data science, information extraction, text mining, and scraping-intensive use cases like search engine optimization, business analytics or information security.





scrAPIr

  • scrAPIr - lets you fetch data through web APIs. You can: Immediately query many already-integrated web APIs. Publish and access shared queries and data sets. Easily add new APIs you need by filling our a web form.


Kiwix

  • Kiwi - Wherever you go, you can browse Wikipedia, read books from the Gutenberg Library, or watch TED talks and much more – even if you don’t have an Internet connection. Make highly compressed copies of entire websites that each fit into a single (.zim) file. Zim files are small enough that they can be stored on users’ mobile phones, computers or small, inexpensive Hotspot. Kiwix then acts like a regular browser, except that it reads these local copies. People with no or limited internet access can enjoy the same browsing experience as anyone else. The software as well as the content are fully open-source and free to use and share.



onthespot

Archiving


  • ArchiveBox - a powerful, self-hosted internet archiving solution to collect, save, and view sites you want to preserve offline. You can set it up as a command-line tool, web app, and desktop app (alpha), on Linux, macOS, and Windows (WSL/Docker). You can feed it URLs one at a time, or schedule regular imports from browser bookmarks or history, feeds like RSS, bookmark services like Pocket/Pinboard, and more. See input formats for a full list. It saves snapshots of the URLs you feed it in several formats: HTML, PDF, PNG screenshots, WARC, and more out-of-the-box, with a wide variety of content extracted and preserved automatically (article text, audio/video, git repos, etc.). See output formats for a full list. The goal is to sleep soundly knowing the part of the internet you care about will be automatically preserved in durable, easily accessible formats for decades after it goes down.
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