Web Scraping a Table (Python Beautiful Soup and/or Selenium preferred)
Budget: $30 – $250 USD
I need a skilled Web Scraping specialist to write code in Python (preferably) that scrapes a specific table from a website for me (Website: https://www.positiveresidual.com/shiny/wnba/). The table contains WNBA player statistics, The goal is to extract all columns of this table, which is approximately 7 columns and write it to a CSV file (in the same column format). I'm a beginner level coder, and noticed that the table was created with that looks like a Shiny App in R. (I'm not even sure if extracting the table is possible). If it was only possible to use R, then I could potentially work with that.
Website: https://www.positiveresidual.com/shiny/wnba/
I would like the data to go from the year 2020 to current. Regular Season data.
Key Requirements:
- Scraping Tables on websites
If you're confident in your web scraping abilities, have good experience with Python, and can ensure accurate extraction of the specified player statistics from the table on the website, I'd love to hear from you.
Website: https://www.positiveresidual.com/shiny/wnba/
I would like the data to go from the year 2020 to current. Regular Season data.
Key Requirements:
- Scraping Tables on websites
If you're confident in your web scraping abilities, have good experience with Python, and can ensure accurate extraction of the specified player statistics from the table on the website, I'd love to hear from you.