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started switching some nasty scraping code project over to Pandas because it works so damn well
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more Pandas updates and I built out a reverse scraper which makes it easier to say what values you want on a page and then it builds out the CSS selectors backwards.
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working on some scraping for data analysis #linkhandy
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working on some a few scrapers for pulling in data vs. just using sheets #daysuntillatenight
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worked on how to test/keep a scraping project updated more easily
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down the rabbit hole investigating issue with scrapers #reva
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finding bugs in my scrapers on #devopsprojectshq
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more scraper work and I finally figured out how to work around a few issues I couldn't quite wrap my brain around.
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Experiment with web-scraping 🤬 #life
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🐼 reading up on the Python Pandas library since it makes scraping HTML tables easy peasy
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continue work on scrapers #pagesonpages
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fix problems with scrapers #reva
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fix problem with scrapers #reva
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late night hacking on a scraper project and mostly getting the UI updated
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finished out my day updating scraper-proxy to support css and xpath selectors along with a few features I haven't seen anyone do yet.
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re-worked one of my job scrapers and trying to decide if I should keep it or keep moving forward on it
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fixed a bug in one of my job scrapers
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worked on two new #jobs scrapers using RSS
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worked on a scraper service tonight to update it for a few common area layouts and the general collection system
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fix bug that broke all scrapers #startupjobs 😅
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