Web Scraping with Python some betting providers

Scrape Betting Sites

We need you to scrape 2 betting websites. It will have the following components:

• Build a scraper that can pull data from each of the 2 websites

• Scraper should be run on demand

• Data should output to a database

We need you to complete this using Python/Postgres.

Websites to be scraped

• [login to view URL]

• [login to view URL]

Part 1. Scrape websites

You will need to scrape all of the odds for all sports/markets from each website. This will need to run on demand, and preferably will take no longer than 5 minutes to scrape the entirety of each of the 2 sites. The fields that we need are:

• Sport/Category name (eg. Australian Rules, Tennis, Golf, Soccer, politics, etc)

• Game/Event Name

• Game/Event date

• Game/Event time

• Team Name/outcome (eg Collingwood, Collingwood (-20.5), Collingwood 40+, Draw, etc)

• Team name/outcome Odds

• Bookmaker

Other notes:

• We want the scrapers to store all their historical data in the database, so that we can see odds history.

• We need this built in Python and Postgres as the database

• This will be running on a Linux server, so please make sure your code is not O/S dependent

Compétences : PostgreSQL, Python, Web Scraping

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Concernant l'employeur :
( 0 commentaires ) Berlin, Germany

Nº du projet : #18166562

27 freelance font une offre moyenne de €171 pour ce travail


Hello, I am ready to extract data from both sites [login to view URL] and [login to view URL] using python/VB. It would be great if you can send me excel template for both sites. MY BID IS FOR BOTH SITES... Lets Plus

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