I want to have a web-scraper that goes to: [login to view URL] and then does the following:
Click the first upcoming UFC event (in this case "UFC 253" but can also be "UFC fight night")
Expands the frame for each fight (click "^" icon on the most right column)
Extract odds from certain rows (e.g. I only want "Fight Goes To Decision", "Fight does not go to decision", "Fighter X/ Fighter Y wins inside the distance", "Fighter X/ Fighter Y wins via Submission" & "Fighter X/ Fighter Y wins via KO/TKO")
Sidenotes:
Has to be done in Python
The rows can't be extracted based on row-position as the available betting lines vary per fight and per event, hence the script should extract them on the index name (e.g. "Fight goes to a decision")
The script has to work on upcoming events without having to be adjusted every week.
(preferably available tomorrow morning/ afternoon European time)
Hi, my name is George.
I read you project description and happy to help you develop it.
Can you, please, provide the following information so that I can estimate the time and price better:
1. What is the website you want to get data from? Please provide a link.
2. Which fields you want to extract from website and what is the output format?
3. Do you need data only or the script as well?
After I check this info we can discuss further how to implement this optimal.
Thx and I hope we can work together.
Hi,
Since I am huge UFC fan and training MMA myself, it would be a pleasure for me to work on this project.
I understand what you require, I will extract odds you need.
Contact me, I am ready to work immediately.
Best regards,
Borivoj Petrovic
Hi
I will help you scrape betting odds, please let me know your deadline in chat.
I can deliver your work according to your requirements.
I assure you, I will provide you with a masterpiece and you will like it for sure.
Thank you
Hi, at my job we make all kind of webscrapers, we work mostly with python and upload that data to a database, but we work too with excel files, csv, xls. I can start right now on your script to scrape the data the page you want.