hanzalot / superrugby_oddsscraper

Odds for Super Rugby Games off oddschecker.com


This is a scraper that runs on Morph. To get started see the documentation

Contributors hanzalot hanzrauch

Last run failed with status code 999.

Console output of last run

Please install the Morph Github App on hanzalot so that Morph can access this repository on GitHub. Please go to https://github.com/apps/morph-io/installations/new/permissions?repository_ids%5B%5D=65569704&repository_ids%5B%5D=74561837&repository_ids%5B%5D=83709879&suggested_target_id=20042123 Why? See https://morph.io/documentation/github_app

Data

Downloaded 50 times by hanzalot mediabet sydneycbd

To download data sign in with GitHub

Download table (as CSV) Download SQLite database (79.8 MB) Use the API

rows 10 / 866406

time match bookie outcome decodds
2017-03-15T19:45:57+00:00
Crusaders v Blues Winner Betting Odds
Bet 365
Crusaders
1.44
2017-03-15T19:45:57+00:00
Crusaders v Blues Winner Betting Odds
Bet 365
Blues
2.8
2017-03-15T19:45:57+00:00
Crusaders v Blues Winner Betting Odds
Bet 365
draw
26.0
2017-03-15T19:45:57+00:00
Crusaders v Blues Winner Betting Odds
Sky Bet
Crusaders
1.44
2017-03-15T19:45:57+00:00
Crusaders v Blues Winner Betting Odds
Sky Bet
Blues
2.62
2017-03-15T19:45:57+00:00
Crusaders v Blues Winner Betting Odds
Sky Bet
draw
21.0
2017-03-15T19:45:57+00:00
Crusaders v Blues Winner Betting Odds
Betstars
Crusaders
1.44
2017-03-15T19:45:57+00:00
Crusaders v Blues Winner Betting Odds
Betstars
Blues
2.85
2017-03-15T19:45:57+00:00
Crusaders v Blues Winner Betting Odds
Betstars
draw
21.0
2017-03-15T19:45:57+00:00
Crusaders v Blues Winner Betting Odds
William Hill
Crusaders
1.44

Statistics

Average successful run time: 3 minutes

Total run time: 4 days

Total cpu time used: about 2 hours

Total disk space used: 79.9 MB

History

  • Auto ran and failed .
  • Auto ran and failed .
  • Auto ran and failed .
  • Auto ran and failed .
  • Auto ran and failed .
  • ...
  • Created on morph.io

Show complete history

Scraper code

Python

superrugby_oddsscraper / scraper.py