odds-portal-scraper | Sports odds and results | Scraper library
kandi X-RAY | odds-portal-scraper Summary
kandi X-RAY | odds-portal-scraper Summary
Sports odds and results scraping for Odds Portal (oddsportal.com).
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Top functions reviewed by kandi - BETA
- Scrape all the URLs in the league
- Scrape a URL
- Add a soccer match to the database
- Return the draw_odds
- Returns a list of season objects for a given main league
- Go to a link
- Start a new data collection
- Scrape all games from the given season
- Populate the games from the season
- Fill the pagination links
- Close the browser
- Save all collected collections to JSON
- Get target sport data from file
odds-portal-scraper Key Features
odds-portal-scraper Examples and Code Snippets
Community Discussions
Trending Discussions on odds-portal-scraper
QUESTION
I'm kinda new to Python and webscraping but I'm currently at a point where I need to extract data to a database. Can someone tell me the pros and cons by using sqlite, excel or xml?
I've read that sqlite should be the fastest, so I may go for that database structure, but can someone then tell me what IDE you use to handle sqlite data after I've extracted it from python?
Edit: I hope my post makes sense. I'm currently trying to use a web scraper from here: https://github.com/gingeleski/odds-portal-scraper
Thanks in advance.
...ANSWER
Answered 2018-May-03 at 17:40When you say IDE, I'm assuming you're looking for a way to view the SQLite data? If so, DBeaver is a free, open source SQL client. You could use this to view the data quite easily.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install odds-portal-scraper
You can use odds-portal-scraper like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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