How to Scrape Data Off Wikipedia: Three Ways (No Code and Code)

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State Secrets: Inside The Making Of The Electric State

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The Secret To Getting Inspired: Millie Bobby Brown & Chris Pratt Go Behind The Scenes 21:04

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Step into the mysterious and visually stunning world of The Electric State as host Francesca Amiker takes you behind the scenes with the creative masterminds who brought Simon Stålenhag’s dystopian vision to life. In this premiere episode, directors Joe and Anthony Russo, stars Millie Bobby Brown and Chris Pratt, writers Christopher Markus and Stephen McFeely, and producers Angela Russo-Otstot and Chris Castaldi reveal how they transformed a haunting graphic novel into an epic cinematic experience. Watch The Electric State coming to Netflix on March 14th. Check out more from Netflix Podcasts . State Secrets: Inside the Making of The Electric State is produced by Netflix and Treefort Media.…

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This story was originally published on HackerNoon at: https://hackernoon.com/how-to-scrape-data-off-wikipedia-three-ways-no-code-and-code.
Get your hands on excellent manually annotated datasets with Google Sheets or Python
Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #python, #google-sheets, #data-analysis, #pandas, #data-scraping, #web-scraping, #wikipedia-data, #scraping-wikipedia-data, and more.
This story was written by: @horosin. Learn more about this writer by checking @horosin's about page, and for more stories, please visit hackernoon.com.
For a side project, I turned to Wikipedia tables as a data source. Despite their inconsistencies, they proved quite useful. I explored three methods for extracting this data: - Google Sheets: Easily scrape tables using the =importHTML function. - Pandas and Python: Use pd.read_html to load tables into dataframes. - Beautiful Soup and Python: Handle more complex scraping, such as extracting data from both tables and their preceding headings. These methods simplify data extraction, though some cleanup is needed due to inconsistencies in the tables. Overall, leveraging Wikipedia as a free and accessible resource made data collection surprisingly easy. With a little effort to clean and organize the data, it's possible to gain valuable insights for any project.

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How to Scrape Data Off Wikipedia: Three Ways (No Code and Code)

Programming Tech Brief By HackerNoon

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How to Scrape Data Off Wikipedia: Three Ways (No Code and Code)

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