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X-WR-CALDESC:Events for Professional Achievement Program
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TZOFFSETFROM:-0500
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DTSTART:20260308T070000
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DTSTART:20261101T060000
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DTSTART;TZID=America/New_York:20260203T130000
DTEND;TZID=America/New_York:20260203T140000
DTSTAMP:20260521T200131
CREATED:20260129T145951Z
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UID:2136-1770123600-1770127200@community.mis.temple.edu
SUMMARY:Intro to Web Scraping: Automating Data Extraction Without Coding
DESCRIPTION:As proof of attendance\, Have; \n\n2 screenshots with your name visible (either show your name logged into your computer on split screen or log into canvas or your portfolio and show that).     \n\n1 with the date and time from the start of the session.\n1 with the date and time from the end of the session.\n\n\nTitle of the meeting or webinar visible in screenshots.\nYou will not get approved without the above\, no exceptions.\nYou need to stay the entire time and the time attended will be checked with the host.\n\nNo more endless copying and pasting data from websites for data collection! \nFor anyone interested in learning how to scrape large amount of data from websites without any coding\, this workshop will introduce WebScrapter.io\, a free web scraper tool that is great for collecting organized data (i.e. Wikipedia page and discussion forum). Through hands-on demonstrations\, attendees will have the opportunity to explore how to create sitemaps and set up pagination to scrape data across multiple pages using a web scraper tool\, whether that is for academic research or personal projects. Additionally\, this workshop will also introduce legal and ethical considerations for web scraping. \nNo prior experience with web scraper tools or coding is required. Attendees are encouraged to bring a laptop to participate in the activities. \nFor more information or any questions\, please email ye.ju.ki@temple.edu. \nRegister for Event \n\n\n\n\n\n\n\nhttps://charlesstudy.temple.edu/event/16105964
URL:https://community.mis.temple.edu/professionalachievement/event/intro-to-web-scraping-automating-data-extraction-without-coding/
CATEGORIES:25 Points,Event
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