Decode Bet365 In-Play Odds
Budget: €30 – €250 EUR
I am working on analysing the in-play WebSocket traffic of Bet365 (already captured via browser DevTools).
I have already:
Captured raw WebSocket frames
Identified that messages are plain-text structured segments (e.g. EV;, OV;, IA;)
Observed updates related to in-play football markets
The task is NOT to bypass authentication, but to:
Decode the message structure.
Map message segments into structured JSON.
Extract:
Event ID
Sport
Market name
Selection name
Odds
Timestamp
Deliverables:
Technical explanation of message format.
A small Python or Node.js script that:
Connects to an already authenticated WebSocket session
Parses frames
Outputs structured JSON
5–10 minute sample capture (football in-play)
The WebSocket frames are already accessible; focus is parsing and structuring.
Experience with sportsbook feeds or protocol parsing is preferred.
I have already:
Captured raw WebSocket frames
Identified that messages are plain-text structured segments (e.g. EV;, OV;, IA;)
Observed updates related to in-play football markets
The task is NOT to bypass authentication, but to:
Decode the message structure.
Map message segments into structured JSON.
Extract:
Event ID
Sport
Market name
Selection name
Odds
Timestamp
Deliverables:
Technical explanation of message format.
A small Python or Node.js script that:
Connects to an already authenticated WebSocket session
Parses frames
Outputs structured JSON
5–10 minute sample capture (football in-play)
The WebSocket frames are already accessible; focus is parsing and structuring.
Experience with sportsbook feeds or protocol parsing is preferred.
Related categories:
PHP
Python
Linux
Data Processing
Software Architecture
Node.js
JSON
Web Development
Data Extraction
API Development