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We use "request" to grab the data from the Url.
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Using BeautifulSoup, we get the required table from the webpage contents.
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Using Table Rows (tr) and Table Data (td) , we get the required fields and records form the table and store it in an empty list data[].
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We separate the cells with pdf because that is what we are trying to grab from the webpage.
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We arrange all the grabbed data in a DataFrame with "Date" and "Report" as column names.
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Using Beautiful Soup library in Python to perform Web Scraping and acquiring a Legislative Reports table with relevant pdfs from the University of California Web Page
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Using Beautiful Soup library in Python to perform Web Scraping and acquiring a Legislative Reports table with relevant pdfs from the University of California Web Page
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