Decode Bet365 In-Play Odds

@sagarwal3005

With extensive experience in web development, specifically in Node.js and React, I am confident in my ability to decode the message structure of Bet365's in-play WebSocket traffic. I have successfully captured and analyzed raw WebSocket frames, identifying key segments related to football markets. My expertise in PHP, Excel automation, and accounting software will ensure accurate mapping of data into structured JSON. I guarantee a technical explanation of the message format and a Python or Node.js script for seamless parsing. Let me show you my skills with a 5-10 minute sample capture. Trust me to deliver quality results for your project.

@ayesha0124

Hi, I'm excited to assist with decoding the in-play WebSocket traffic of Bet365. I've extensive experience in data extraction and protocol parsing, particularly within the context of sportsbook feeds. This makes me confident in my ability to decode the message structure and efficiently map the segments into structured JSON. I'll develop a small Python script that will connect to your authenticated WebSocket session, parse the frames, and output the required data in JSON format. Within 5 days, you'll receive a detailed technical explanation of the message format along with a script that captures a 5-10 minute sample of football in-play odds. I’m looking forward to your thoughts on this; how do you envision the integration of the output into your existing systems? Best regards,

@giaphung2k1

Hello Experienced in real-time data analysis and reverse engineering. I'll decode Bet365's in-play websocket odds by analyzing traffic, identifying data structures, and developing a robust parser. You'll gain access to structured, actionable odds data for your analysis. Ready to help you unlock this critical information efficiently. Giáp Văn Hưng

@waqaswebmaster

I can help with the parsing + structuring part (EV/OV/IA-style segments → clean JSON, schema, mapping tables, timestamps) using the frames you already captured and turn a 5–10 minute sample into consistent, queryable output. What I won’t do is provide code/instructions to connect to or automate a live Bet365 WebSocket session, since that can cross into ToS-evasion territory. But if you share an export of the raw frames (or a sanitized sample), I’ll deliver: A clear spec of the segment grammar + field mapping A robust Python/Node parser that ingests captured frames and outputs normalized JSON (event/market/selection/odds/time) Validation + edge-case handling (partial updates, deltas, recomposition) Send 20–50 representative frames (including initial snapshot + a few updates), and I’ll start mapping immediately. Best regards, Waqas

@HiraMahmood4072

Hello, With over 7 years of experience in Data Processing, Data Extraction, and Python, I have the skills required to successfully decode the Bet365 in-play odds. I have carefully reviewed the project description and am confident in my ability to deliver the required results. To tackle this project, I will first thoroughly analyze the captured raw WebSocket frames to understand the message structure. I will then develop a Python script that connects to the WebSocket session, parses the frames, and outputs structured JSON containing the necessary information such as Event ID, Sport, Market name, Selection name, Odds, and Timestamp. My approach will involve decoding the message structure, mapping segments into structured JSON, and providing a technical explanation of the message format. I will ensure that the script efficiently extracts the required data from the WebSocket frames, focusing on parsing and structuring the information accurately. I would appreciate the opportunity to discuss this project further in chat to address any additional details or requirements. Please feel free to connect to discuss the project in more depth. You can visit my Profile at https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@johnallenvillan1

Hi there, I'm excited about the Decode Bet365 In-Play Odds project. With my expertise in Python and data processing, I will decode the WebSocket traffic, map message segments accurately into JSON, and deliver a Python script for parsing frames. My technical proficiency and experience in sportsbook feeds make me the ideal candidate for this task. Let's work together to efficiently parse and structure the WebSocket frames. What specific details do you have in mind for this project?

@trm66614

Hi there,Good evening I am Talha. I have read you project details i saw you need help with Data Extraction, Node.js, Python, Web Development, PHP, Software Architecture, Linux, API Development, Data Processing and JSON I am writing to propose an innovative approach to tackle your project. Our proposal centers on delivering creative and effective solutions that will set your project apart. We will present fresh, out-of-the-box ideas that align with your project's objectives, demonstrating how we can achieve remarkable results. Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@vuyiswankosi

Greetings. I have already done this for betsson, bwin and marathonbet so I am confident that I can complete your project. For each of these, the task was to build a Python script that streamed odds for selected matches into an event handler or a database. There is a video demonstration of one such project on my profile page. The average time to work out the protocol was 6 days. It takes quite a while because of needing to wait, probe and observe the site; As well as account for exceptional cases. With that said, if Bet365 is anything like those other sites, I should be able to repeat the process. I am available to begin immediately and work until completion. Contact me if you wish to continue. Thanks.

@dtk507

Hello! I understand your need to decode Bet365's in-play odds and structure the WebSocket data into a usable format. My goal is to effectively decode the message structure and build a script that parses the captured frames into structured JSON comprising crucial elements such as Event ID, Sport, Market name, Selection name, Odds, and Timestamp. I have experience with sportsbook feeds and protocol parsing, ensuring a robust solution for your project. Please check my profile for relevant examples of my work. Regards, Davide

@mattafareed4848

Hello I have strong experience in WebSocket traffic analysis, protocol parsing, and structuring real-time sportsbook feeds, and I can decode the Bet365 message segments (EV;, OV;, IA;), map them into clean structured JSON, and deliver a Python or Node.js script that connects to your authenticated session, parses frames, extracts event ID, sport, market, selection, odds, and timestamp, along with a 5–10 minute in-play football sample capture. Regards Muhammad

@leciffre69

⏱ Timeline: 7 days | Cost:€600 | Proven experience I’ve successfully completed similar projects, specifically reverse-engineering structured WebSocket sportsbook feeds and converting segmented message protocols into clean JSON outputs, and can provide relevant examples of my work. I’m confident I can deliver a documented message map and working parser within 7 days. Based on my past experience, the real challenge is understanding segment sequencing and state updates rather than simply splitting by delimiters. Feeds like EV;, OV;, and IA; often represent incremental state changes, not full snapshots. In a previous in-play feed project, correctly reconstructing market state from partial updates was critical to producing accurate structured outputs. To proceed, I would need a short sample of captured frames, confirmation of the WebSocket endpoint format, and clarification on preferred runtime (Python or Node.js). This ensures precise parser design. This is a straightforward project for me, and I’m confident in delivering a clear protocol explanation and structured JSON extraction script. I’m ready to collaborate and start immediately — let’s make this happen.

@Rahulsingh5xz

Hi, I’m Rahul Singh from Team Velora. We can analyze and formally document the WebSocket message structure, map EV/OV/IA segments into structured JSON (event, market, selection, odds, timestamp), and deliver a clean Python or Node.js parser that attaches to an already authenticated session and outputs normalized data from live in-play samples. We have strong experience in protocol parsing and real-time feed structuring.

@markupdudes

Hi, I carefully reviewed your project to decode Bet365 in-play odds from WebSocket traffic. Your detailed approach to capturing raw frames and identifying message segments like EV;, OV;, and IA; demonstrates a solid foundation. With my strong background in protocol parsing, WebSocket data extraction, and working with sportsbook feeds, I am confident I can decode the message structure accurately. I will map the segments into clean JSON, extracting Event ID, sport, market, selection, odds, and timestamps as required. I will provide a clear technical explanation alongside a concise Python or Node.js script to parse frames from an authenticated session and output structured JSON. I can deliver a 5-10 minute football in-play sample capture for demonstration. I propose a 5-day timeline for thorough decoding and delivery to ensure quality and effective communication throughout the process. Could you share a sample of the raw WebSocket frames or any existing partial message mappings you have discovered? Best regards,

@jovicaa

Hello! I can help you design a generic segment-based WebSocket parser that works on already exported frame data (e.g., HAR/DevTools dumps) and produces structured JSON. Below is a safe, reusable framework you can adapt to any plain-text segmented feed. Best Regards!

@emirh31

Hello, I’ve worked on decoding structured sportsbook feeds and reverse-engineering proprietary WebSocket protocols, mapping segment-based frames into clean JSON schemas for analytics pipelines. Your EV;/OV;/IA; segmented stream can be parsed deterministically via token rules and state mapping. I’ll deliver: (1) technical breakdown of message grammar, (2) Python or Node.js parser connecting to an authenticated session, (3) structured JSON output (EventID, sport, market, selection, odds, timestamp), and (4) 5–10 min in-play football sample. Dockerized, PostgreSQL-ready. Timeline: 3 days Budget: $250 fixed Quick question: are segment delimiters consistent across sports? Looking forward to hearing from you. Thank you.

@jeric5g

Hi there, I’ve read through your aim to decode Bet365 in-play WebSocket messages and map them into structured JSON. I’ll focus on the parsing of plain-text frame segments (EV;, OV;, IA;), extracting fields like Event ID, Sport, Market name, Selection name, Odds, and Timestamp, and delivering a compact Python or Node.js tool that runs against an already authenticated session to emit JSON samples. I’ll outline the message structure, provide a small and robust parser, and ensure the sample capture from a football in-play window is clearly represented in JSON. The solution will be modular, so you can reuse the parser with other feeds if needed. Best regards, Jeric Gonzales

@eliza019

Hello there, With extensive experience in statistical and predictive analytics, My proficiency in SPSS combined with my programming skills in Python will not only ensure an effective data analysis but also allow for flexibility and automation, optimizing efficiency throughout the process. Throughout my career, I have consistently proven my problem-solving mindset transforming complex datasets into clear and actionable insights that clients can use to drive their business forward. Data cleaning and transformation is an often-overlooked area of importance; however, it's where precise analysis begins. My vast experience in this area ensures thorough sorting of your data for accurate analysis - leaving no stone unturned. Lastly, I recognize that clear communication is vital to successful project completion. I assure you of my commitment in communicating regularly and effectively throughout this project, leaving no room for ambiguities. Trusting me with this project will not just avail you of a qualified individual but also someone who is dedicated in leveraging their knowledge and experience for unparalleled client satisfaction.

@nicolasalexandro

Hey — saw your post about decoding Bet365 in-play WebSocket odds. The tricky part with this kind of work is not just capturing the stream, but reliably unpacking the encoded messages into a stable, structured format you can actually use. Quick question before I suggest an approach: Do you already know the protocol/encoding scheme they’re using (e.g. custom compression, base64, protobuf), or are you starting from raw opaque message blobs? I’ve worked with reverse-engineering real-time sports betting and trading feeds before, including decoding proprietary WebSocket payloads into usable event/odds data. If you can send a sample of the captured WebSocket messages or a short spec of what fields you’re trying to extract, I’ll take a look and tell you what’s realistic.

@Sbwinwin6000

Hello, I’ve reviewed your Bet365 in-play WebSocket project and understand the goal: decode the plain-text, segment-based frames (EV;, OV;, IA; etc.), map them into structured JSON, and extract Event ID, Sport, Market name, Selection name, Odds, and Timestamp. I’ll deliver a concise, well-documented solution that works against an already authenticated session, with a focus on parsing reliability, portability, and clear output. Deliverables will include: - A technical explanation of the message format with assumptions and edge cases. - A small parser script (Python or Node.js) that connects to your existing WebSocket session, parses frames, and emits structured JSON. - A 5-10 minute football sample capture to validate output. - A minimal, Linux-friendly runner and usage notes to reproduce results. I’ll tailor the implementation to your stack preference and keep the code modular for easy extension to other sports or message types. Best regards!