Bet365 Basketball Odds Scraper

@Sohail748

I'm offering a 25% discount on this project. With experience in web scraping and sports data extraction, I will build a reliable, automated scraper to collect basketball odds from Bet365—delivering structured data (moneyline, spreads, totals, live odds) for analysis, alerts, or integration into your platform. I'll start by analyzing Bet365's website structure and odds display. Using Python with libraries like BeautifulSoup, Selenium, or Scrapy, I will develop a script that navigates the site, extracts real‑time odds, handles AJAX/JavaScript‑loaded content, and outputs clean data in CSV, JSON, or database format. The scraper will include error handling, rate‑limiting, and optional scheduling for regular updates. You'll receive a fully functional odds scraper, documentation for running and customizing it, and guidance on ethical and compliant usage. Let’s turn web data into actionable insights. Best regards, Sohail

@leenadvnani6

Good Day, As a senior web scraper specializing in sports betting data extraction, I assure you of a reliable scraper that precisely monitors basketball odds on Bet365. By conducting two separate pulls for each game – one on lineup publication and another pre-tip-off – the scraper will capture teams, scores, lineups, odds, and various game statistics. Storing data in a structured database (PostgreSQL/MySQL) will allow for easy querying of first-pull, second-pull, and calculated deltas. The script will be equipped with a scheduler for automated scraping via cron. With expertise in headless browser handling and anti-bot measures, I guarantee accurate and time-stamped results. Let's discuss your project further in the chat. Why Choose me? - Unlimited Revisions - Unique Creations - Money-Back Guarantee - 24/7 Communication - Timely Delivery Browse my portfolio for quality work samples: https://www.freelancer.com/u/leenadvnani6 Let's discuss your project further in the chat. Best regards, Leena Kumari :)

@dtk507

Hello! I understand you're looking for a reliable scraper to monitor basketball leagues on Bet365. I can develop a solution that captures key data at critical times, providing you with the necessary insights for your betting strategy. My approach includes using headless browser technology like Selenium, ensuring resilience against anti-bot measures, and I’ll store the data in PostgreSQL or MySQL based on your preference. With a structured database, you’ll be able to compare first and second pull values seamlessly, analyzing how line and odds fluctuate before games. I'll include everything you need: runnable source code, SQL schema, and a README to guide you through sample queries and future extensions. Regards, Davide

@SEOGlobalLLC

Hi there, thanks for the detailed and technical brief. We understand you need a reliable Bet365 basketball scraper that captures two time-stamped snapshots per game (lineup release and pre–tip-off), including lineups, odds, Q1 totals, quarter/half stats, and stores first pull, second pull, and deltas in a structured SQL database with scheduled execution. SEO Global Team has strong experience with headless-browser scraping (Playwright/Puppeteer), anti-bot handling, cron-based automation, and PostgreSQL/MySQL schemas built specifically for time-series and snapshot comparison workflows. We’ll deliver clean, documented code with a scheduler or CLI trigger, resilient browser automation, normalized SQL schema with migration scripts, sample delta queries, and clear guidance to extend coverage to additional stat fields. Do you want the scraper scoped strictly to basketball or built to expand to other Bet365 sports later? Is Australian Bet365 the only target region, or should the architecture support other locales? Do you prefer PostgreSQL or MySQL for your downstream analysis stack? Looking forward to building a robust, testable system you can run confidently on live slates.

@Algokage

Hello, I have 5+ years of experience in web scraping and database management. I’ll build a reliable scraper using headless browser tools like Selenium or Playwright to handle Bet365’s dynamic content, ensuring accurate and timely data pulls. The script will capture lineups, odds, and stats at specified times, storing data in PostgreSQL or MySQL with a structured schema for easy querying. I’ll include a scheduler for automation and provide clear documentation. Let me know if you’d like to see samples of similar projects. Thanks, Adegoke. M

@craigd43

As an experienced and adaptable developer with a deep understanding of data analysis and management, I am confident that I can construct the basketball odds scraper you require. With my expertise in domains such as PHP, Node.js, Vue.js, and C#, I'll create a robust, easily-automatable script to run two separate pulls for each game as per your specifications. My extensive experience with Bet365's platform will ensure that I efficiently incorporate the necessary proxy/anti-bot measures to augment the efficacy of the scrape. Alongside the scraper development, I'll provide you with meticulously detailed documentation covering various aspects such as setup instructions, SQL schema, migration script, sample queries comparing initial and pre-game lines, and even information on potential extensions for future iterations. Furthermore, building on my expertise in PHP and Vue.js, I will also develop a highly intuitive web app to monitor line movements and derive winning insights from them. In addition, incorporating GPT-3 chat analysis for a further level of understanding of line movement is well within my capability. Let my proven capability and commitment to surpassing client expectations enable us to realize this project successfully.

@amadorjay

Hello, I will build a reliable scraper to monitor basketball leagues on Bet365. This scraper will capture critical data at two key times: when lineups are published and one hour before tip-off. I have developed similar scraping solutions for sports data, ensuring accuracy and efficiency. Solution Approach: - Headless Browsing: Use Selenium or Playwright to handle dynamic content and bypass anti-bot measures. - Data Capture: Extract teams, scores, lineups, odds, and quarter statistics during both runs. - Database Storage: Implement PostgreSQL to store structured data, allowing easy querying of first and second pulls. - Scheduler: Integrate a simple CLI flag or scheduler to automate scraping via cron. - Documentation: Provide clear setup instructions, SQL schema, and migration scripts for the database. Smart Questions: - What specific statistics do you want to track beyond the initial requirements? - Are there any particular anti-bot measures you’re aware of that we should prepare for? - How frequently do you expect the data to change during a game day? I’m ready to start immediately and look forward to delivering a robust solution.

@jordanrafael7

Hello, I’ve reviewed your Bet365 Basketball Odds Scraper brief and I’m excited to offer a robust, production-ready solution that delivers two precisely-timed snapshots per game, every scraping run, with reliable storage and clear delta analytics. I’ll implement a headless-browsing scraper (Selenium/Playwright and proxies as needed) capable of handling Bet365’s scripting protections, with a resilient, modular Python (or PHP) stack and a PostgreSQL/MySQL backend. Key solution elements: - Two pulls per game: Run #1 on lineup publication and Run #2 no later than one hour before tip-off, storing teams, scores, lineups, odds, Q1 Total, Quarter, and Half stats as they appear. - Structured DB schema with tables for first-pull, second-pull, and delta calculations, plus a lightweight migration script. - Scheduler/CLI flag support to trigger scrapes via cron, with clear logs and timestamps. - Anti-bot/proxy strategy, with documented setup to reproduce in different environments. - Extensible design to add more stat fields without breaking backwards compatibility. Deliverables include: 1) Clean, runnable source with setup instructions. 2) SQL schema and migration scripts. 3) README with sample queries to compare initial vs pre-game lines (and computed deltas). 4) Brief note on extending the scraper for additional fields. Best regards, Jordan Rafael

@mariamz24

Hi, We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on PHP, Python, Web Scraping, MySQL, PostgreSQL, Database Programming, Data Analysis, Selenium, API Development, Data Management Lets connect in chat so that We discuss further. Thank You

@saliktechpro

Hey , I just finished reading the job description and I see you are looking for someone experienced in Web Scraping, Python, Data Management, Database Programming, Data Analysis, MySQL, PHP, Selenium, API Development and PostgreSQL. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am - 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Salik.

@strdmgrblr

I work on projects where we help clients turn complex data into actionable insights, improving user engagement and decision-making. We’ll help you build a reliable, automated scraper for Bet365 basketball leagues that captures lineup, score, and odds data at key times. This setup will feed a structured database tracking initial and pre-game line movements, enabling precise analysis. I bring strong experience with headless browsers like Playwright and handling anti-bot challenges. I understand the need for clean, timestamped, and query-friendly data to fuel your betting-strategy model effectively. Key skills include web scraping, database design, automation, and user-friendly web app development. We can chat more about syncing the scraper data with ChatGPT-driven game analysis. Let’s make your picks smarter, together. Let's have a chat, Alicia

@gianniszagoritis

As an experienced sports betting automation specialist, I'm extremely familiar with the meticulous nature of scraping odds and line movements from bookmakers, including Bet365. I've developed and optimized a range of bots similar to what you're seeking for this project such as ValueBet bots, SureBet bots, CopyBetting bots, Tipster bots, and Horse Racing bots - so I'm well-versed on the intricacies and the value of accurate data when it comes to betting strategies. I have particularly rich experience in running headless browser scripts and handling proxies, enabling me to tackle Bet365's heavy scripting robustly while adhering to their anti-bot protocols. I'm confident that selecting me would ensure not just correct snapshot collection but more importantly precise calculations of every movement over queried timelines essential for interpreting narrow-line window bettings. Together we can develop a tool that maximizes your profitability while factoring in variance from different games!

@marcodem

Hello, I hope you are doing well. You are looking for a reliable Bet365 basketball odds scraper that captures two snapshots per game (start lineup and pre-tip) across all listed leagues, stores them in a query-friendly database, and provides a straightforward CLI/cron trigger. I will build a headless, proxy-enabled scraper (Python + Selenium) with PostgreSQL or MySQL support, robust timestamps, and delta calculations. -> Previous Work: URL URL Development Plan: 1) architecture, schema design, and migration scripts. 2) headless scraping with anti-bot handling and schedule hooks. 3) data validation, delta computation, and test queries. 4) CLI/cron integration and documentation. -> Schedule: Phase 1 (2 days): design and env setup. Phase 2 (5 days): scraper + DB + migrations. Phase 3 (2 days): docs & tests. Phase 4 (1 day): final tweaks. If anything is unclear, I look forward to your reply.

@proggon

Hi there, I understand that you're looking for a dependable scraper that captures crucial basketball data from Bet365, particularly focused on securing timely updates on lineups and odds before and during games. Ensuring precision and timely data collection is essential for your betting strategy, and I'm confident in my ability to deliver a solution that meets your needs. To achieve your goal, I propose implementing a headless browser scraping solution using tools like Selenium or Playwright, which are well-suited for navigating Bet365’s complex interface. I’ll ensure the scraper performs two distinct pulls: one for the starting lineup as soon as it's available and another just before tip-off, capturing all necessary information including teams, scores, odds, and statistics. I'll structure the data in a PostgreSQL or MySQL database to facilitate easy querying and calculations of deltas between the snapshots, and I’ll incorporate a simple scheduler for automatic execution. How soon would you like to have an initial version of the scraper ready for testing? https://www.freelancer.com/u/proggon Best regards, Wahaj Barlas.

@rajeshrolen

Hello, I would like to grab this opportunity and will work until you are 100% satisfied with my work. I am an experienced professional with many years of hands-on experience in PHP, Python, Web Scraping, MySQL, PostgreSQL, Database Programming, Data Analysis, Selenium, API Development, Data Management Let’s connect in chat so that we can discuss further. Regards, Rajesh Rolen

@shyam2334

With a decade of experience under my belt as a full-stack developer, I believe we can make magic happen with your Bet365 Basketball Odds Scraper project. My proficiency in utilizing headless browser handling in combination with Python’s Selenium, Playwright, or Puppeteer, stacking plus my knowledge of proxy/anti-bot measures gives me a competitive edge to survive in the heavily scripted Bet365 environment. My data-driven approach to API development and proficiency in PostgreSQL and MySQL will be instrumental in our goal to build a well-structured database for your proposed NBA betting strategy model. Additionally, my skills in setting up scheduler tasks or CLI flags for automated scraping using cron ensures ease of use for you as we move forward. I also have quite some experience in data analysis which would enable factoring line and total points movement correlations into our project. Lastly, I deeply value clean and runnable code that remains maintainable over time. I can assure you that not only will the source code be delivered with setup instructions but the SQL schema and migration script to keep everything structured. You can count on me to deliver a powerful web app driven by ChatGPT which will alert you about upcoming games that meet your line movement criterion and provides insightful analysis to guide your betting decisions for increased success rates. Let's make this an exciting journey together!

@omarfranciscoa

Hello, thanks for posting this project. I can build a reliable scraper for Bet365 that captures basketball game data at two critical points—first when starting lineups are published, and again one hour before tip-off—storing all teams, scores, lineups, odds, and detailed quarter/half stats in a structured SQL database. From your brief, the main goal is high-accuracy, timestamped snapshots to feed a betting-strategy model, with easy querying of first-pull, second-pull, and delta values. I will implement headless browser scraping using Selenium, Playwright, or Puppeteer with proxy rotation and anti-bot measures, plus a CLI or scheduler to automate runs via cron. I have hands-on experience building production-ready web scrapers for sports data, integrating with PostgreSQL/MySQL, and designing extendable database schemas. Deliverables will include clean, runnable source code with setup instructions, SQL schema and migration script, example queries comparing pre-game vs first-pull lines, and a note on future extensibility. I can also implement a simple web app to alert upcoming games with line movements and analysis.

@mykolaslip

✅✅✅✅✅ Only Perfection && Even 99.99% Isn’t Enough For Me. ✅✅✅✅✅ Hi, there, I Understand Exactly What You Want. I've reviewed the job description carefully. This is similar to my previous project and I can share it if needed. As a seasoned full-stack developer proficient in Python, I have extensive experience building web scraping applications just like the one you seek. I have an in-depth understanding of and hands-on experience with Selenium, Playwright, and Puppeteer, all tools essential for operative scraping from websites similar to Bet365. With my expertise, I can develop a robust scraper that will run two separate pulls capturing all relevant information, including Teams and scores, published lineups and odds, Quarter and Half statistics, Q1 Total - all timestamped precisely as you need. Additionally, proficiency in MySQL and PostgreSQL makes me capable of storing all scraped data extensively whilst maintaining queryability for extensive analysis purposes within your tables. Not only this, I can design schemas that allow you to effortlessly compare the 'first-pull values', 'second-pull values' & 'calculated deltas'. Combining my skills in full-stack development with my knowledge of data analytics, I am uniquely positioned to develop this app that fully meets your requirements. By employing intelligent design on React and incorporating data analyses strings using chatgpt AI model on Python backend powering the LINE movement predictions. Rest assured you

@Apartechnologies

Hi there, I see you're looking for a reliable scraper to monitor basketball odds on Bet365, capturing data at two crucial points: when lineups are published and just before tip-off. My approach would involve using a headless browser solution like Selenium to handle Bet365's anti-bot measures. I’ll ensure the scraper captures all required data—teams, scores, lineups, and statistics—before storing it in a structured database like PostgreSQL or MySQL for easy querying. I'll also set up a simple scheduler to automate the scraping process. For the web app, I can integrate ChatGPT to analyze line movements effectively, helping you make informed betting decisions based on the data collected. One question I have is: are there specific basketball leagues you want to prioritize for the scraping, or should it include everything listed on Bet365? Best regards, Muhammad Hammad.