Explore projects
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Recommend.Games / Board Game Scraper
MIT LicenseBoard game data scraper. Live view: https://recommend.games/
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Ragi Yaser Burhum / congreso-peru-proyectos-ley
BSD 2-Clause "Simplified" LicenseScraper de proyectos de ley del Congreso Peruano
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Jonatas Grosman / findpapers
MIT LicenseFindpapers is an application that helps researchers who are looking for references for their work
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marzzzello / gplaycrawler
MIT LicenseDiscover apps by different mehtods. Mass download app packages and metadata.
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Simple python script to scrap all the files from a thread. Should work with most imageboards.
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hydrargyrum / img-lurker
Do What The F*ck You Want To Public LicenseScrape a web page and downloads images (even if they are on other linked pages)
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Igor Benek-Lins / Jobs Afunnilator
MIT LicenseSimple scraper of job websites with clustering visualisation options
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August Sandoval / Manga Desktop Reader
MIT LicenseA simple manga desktop reader written in python GTK and Tkinter
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Made to scrape known moons from Wikipedia for lastmiles streams (https://twitch.tv/lastmiles)
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This tool was designed to extract member institution locations from the official North American Reciprocal Association (NARM) website and places them into KML format. There are a few Google maps versions of this data created by individuals out there (like this one) that are probably mostly accurate, but the reciprocal agreements evidently update at least annually, which means they have a higher potential for inaccuracy every year they are not updated. Hopefully that dynamism within the NARM locations makes this script a particularly useful one, as (in theory) until NARM makes a major update to their website source code, this scraper will always produce a kml file with the most updated map at any time of any year.
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Crawls the entire natureasia website and produce sitemap XML files from it. Uses Scrapy open-source Python module.
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System rekomendacji płytek (kafelków), przypominający popularną aplikację randkową. Oferta płytek jest scrape'owana ze stron internetowych Castorama i Cersanit. Rekomendacja odbywa się algorytmem collaborative filtering.
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