Betfair API Python Automation Expert
Budget / Salary£20–250
TypeFreelance project
LocationRemote
Posted2 hours ago
I need an expert Python developer to automate tasks using the Betfair API. The specialist will need to develop new scripts for:
- Placing bets automatically
- Fetching and processing real-time data
- Monitoring market conditions
Ideal skills and experience:
- Expertise in Python
- Experience with Betfair API
- Strong background in automation and scripting
- Ability to handle real-time data processing
Looking for someone who can deliver robust, efficient, and reliable automation scripts. Please provide examples of similar work done.
I need an experienced Python developer to finalize an automated market monitoring and execution script. The script must stream real-time line drops from an external API feed (Pinnapi Server-Sent Events drop stream) and match them instantly against live Betfair Match Odds markets using the official 'betfairlightweight' library.The developer must ensure the script accurately handles sports team string fuzzy-matching (e.g., using rapidfuzz) to bridge naming discrepancies between data providers and check exchange queue liquidity before dynamically sizing and placing an order
- Placing bets automatically
- Fetching and processing real-time data
- Monitoring market conditions
Ideal skills and experience:
- Expertise in Python
- Experience with Betfair API
- Strong background in automation and scripting
- Ability to handle real-time data processing
Looking for someone who can deliver robust, efficient, and reliable automation scripts. Please provide examples of similar work done.
I need an experienced Python developer to finalize an automated market monitoring and execution script. The script must stream real-time line drops from an external API feed (Pinnapi Server-Sent Events drop stream) and match them instantly against live Betfair Match Odds markets using the official 'betfairlightweight' library.The developer must ensure the script accurately handles sports team string fuzzy-matching (e.g., using rapidfuzz) to bridge naming discrepancies between data providers and check exchange queue liquidity before dynamically sizing and placing an order
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