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started switching some nasty scraping code project over to Pandas because it works so damn well
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working with Pandas (Python) to update a few existing scrapers. It's really, really nice but I ran into a bug trying to pull URLs that I don't want to think about right now.
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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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Learned a bit more about Pandas DataFrames
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working on some a few scrapers for pulling in data vs. just using sheets #daysuntillatenight
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Exploring web scraping #sleekui
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Experiment with web-scraping 🤬 #life
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email scraping skeleton #teamci
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🐍 learn some Python
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start playing with BeautifulSoup in python to automate research process for newsletter writing #sunday
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write web scraper #remotejuniorclub
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updated pandas backend for #daysuntillatenight
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Successfully create and execute a scrape using python (thanks ChatGPT)
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implemented scraping from posts #scrapebook
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Learn Python and how to scrape with it by scrapping Booking.com with the help of Claude
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found a nice offline copy for pypi data so diving into that to figure out what makes sense to import in #djangopackages
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Look up how scraping works #competeai
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🐍 worked on a new python + django in the Fortune 500 project today as a soone to be released spreadsheet as a website data project #fortune500
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worked on two new #jobs scrapers using RSS
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🍔 built a project scraper over lunch that I don't hate. I used sqlite-utils with mixed results. might just port it back to django and call it a day
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