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Overview

The Bet365 Scraper SDK is a Python library designed to interact with Bet365’s Android and Web APIs while bypassing sophisticated anti-bot detection systems. It provides a robust, request-based scraping solution that handles TLS fingerprinting, cookie management, and device emulation to maintain stable access to betting data. This SDK emulates legitimate Android app behavior, utilizing custom TLS configurations and sophisticated header management to avoid triggering Cloudflare and other anti-bot protection mechanisms.

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Key Features

Android API Emulation

Mimics the official Bet365 Android app (v8.0.36.00) with accurate device fingerprinting and request patterns

TLS Fingerprinting

Custom JA3 and Akamai fingerprints that match real Android devices to bypass bot detection

Anti-Bot Protection

Integrated X-Net-Sync-Term-Android header generation via external API for protected endpoints

Session Management

Automatic cookie handling, device ID persistence, and SST token management

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Architecture Overview

The SDK is built around the Bet365AndroidSession class, which manages:
  • HTTP Session Layer: Uses curl_cffi for low-level TLS control and tls_client for API communication
  • Device Emulation: Generates persistent device IDs and maintains Android WebView user agents
  • Protected Requests: Routes requests through an external API to generate anti-bot tokens
  • Data Parsing: Custom message parsers for Bet365’s proprietary data format
# Core session initialization
session = Bet365AndroidSession(
    api_url="https://your-api-endpoint.com/get_x_net_android",
    api_key="your_api_key",
    proxy="http://proxy:port",  # Optional
    host="www.bet365.com"
)

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TLS Fingerprint Configuration

The SDK uses a carefully crafted TLS fingerprint that matches Android devices: 
TLS_FINGERPRINT = {
    "ja3": "771,4865-4866-4867-49195-49196-52393-49199-49200-52392-49171-49172-156-157-47-53,0-23-65281-10-11-35-16-5-13-51-45-43-21,29-23-24,0",
    "akamai": "4:16777216|16711681|0|m,p,a,s",
    "extra_fp": {
        "tls_signature_algorithms": [
            "ecdsa_secp256r1_sha256",
            "rsa_pss_rsae_sha256",
            "rsa_pkcs1_sha256",
            # ... additional algorithms
        ]
    }
}

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Use Cases

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Odds Monitoring

Track real-time odds changes across multiple sports and markets for value betting opportunities. 
sports = session.extract_available_sports()
for sport in sports:
    session.get_sport_homepage(sport)

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Surebet Detection

Monitor multiple bookmakers simultaneously to identify arbitrage opportunities where odds discrepancies guarantee profit.

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Automated Betting

Integrate with betting automation systems to execute strategies based on live odds data and market movements.

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Market Research

Analyze betting patterns, market liquidity, and odds movements for statistical modeling and research purposes.

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How It Works

1

Session Initialization

The SDK creates a session with custom TLS fingerprints and Android user agent strings
2

Homepage Navigation

Visits Bet365 homepage to establish cookies and extract SST (Session State Token)
3

Protected Requests

Generates X-Net-Sync-Term-Android headers via external API for each protected endpoint
4

Data Extraction

Parses Bet365’s proprietary message format to extract sports data, odds, and market information

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Important Disclaimers

Authorized Use Only: This SDK is designed to help developers handle bot-detection challenges under legitimate and authorized use cases only. It should only be used in compliance with Bet365’s terms of service and applicable laws.
No Pre-Scraped Data: This API does not return pre-scraped data. It provides a controlled environment for managing request patterns and mitigating false positives from automated protection systems.
  • Always review and comply with Bet365’s Terms of Service
  • Ensure your use case is legally permitted in your jurisdiction
  • Consider rate limiting to avoid overloading Bet365’s infrastructure
  • Respect robots.txt and other access control mechanisms
  • Contact the developer for guidance on legitimate use cases

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What You’ll Need

  • Python 3.8 or higher
  • Valid API key for X-Net header generation service
  • (Optional) Residential proxy for enhanced reliability
  • Basic understanding of HTTP requests and async programming

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Next Steps

Quickstart

Get up and running in 5 minutes with a complete example

Installation

Detailed setup instructions for dependencies and configuration

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