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Web-Scraping-in-Python

  • We use "request" to grab the data from the Url.

  • Using BeautifulSoup, we get the required table from the webpage contents.

  • 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[].

  • We separate the cells with pdf because that is what we are trying to grab from the webpage.

  • 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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