Build Python Web Scraping Script for NFL Data

Hello, please provide a python (.py) file that web scrapes publicly available internet sites and returns NFL game data in a .csv file. The script should be able to pull data going back to August, 2014 as well as weekly data as soon as games are completed / posted results online.

The .csv may include one row per game or two, such that if one row per game, then most columns would need to specify which team it applies to. If two rows per game, then Home or Away would be yes/no column. See attached screen shot and I am open to hear suggestions.

Since some data is easier to get to than others, so I have divided this request into "Must Have" and "Nice to Have” below.

Suggested sites to find data include but not limited to:

[login to view URL]

- Includes an understandable URL that includes game date

- Most of the required data can be found here

[login to view URL]

Must Have Data

- Game Data

- Game Start Time (EST)

- Home Team

- Away Team

- Roof (outdoors, dome)

- Field Surface (grass, artificial turf)

- Offensive Team Stats:

- Number of Completions

- Number of Attempts

- Total Passing Yards

- Yards per Attempt (total pass yards / pass attempts)

- Number of Interceptions Thrown

- Total Rush Attempts

- Total Rush Yards

- Yards per Rush (Total rush yards / rush attempts)

- Number of fumbles

- Number of fumbles lost

Nice to Have Data

- Head Coach

- Starting QB

- Offensive Coordinator

- Defensive Coordinator

- Roof (outdoors, dome)

- Field Surface (grass, artificial turf)

- Spread (i.e. Vegas Line)

- Total

- Defensive Team Stats

- Number of QB pressures (can be difficult to find)

Skills: Data Mining, Python, Web Scraping

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Project ID: #17739443

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