Scrape Soccer Match Team Stats

@leelakalidas32

With over [X years of experience in your specific field], I am confident that I can provide you with the accurate and efficient automated tool you need to scrape the soccer team stats. My deep expertise in automation, particularly through Python, has allowed me to design bespoke solutions for a myriad of clients, similar to your project demands. By utilizing several data extraction tools such as Scrapy, Selenium, BeautifulSoup and Playwright, I can guarantee your tool will not only find upcoming matches across multiple leagues but also identify matches with H2H statistics. Furthermore, I assure you that my solution will be able to extract the three H2H percentage types - Home Team %, Draw %, Away Team % and organize them into separate columns in Excel/CSV format. Beyond just technical capability, my value is rooted in my automation-first mindset which aims to maximize efficiency and minimize human error by up to 90%. This equates to significant time savings and increased scalability for your business. Should you decide to work with me, rest assured that I will deliver a high-quality product promptly. So why wait? Let's start building a faster and smarter solution together!

@livegoodlife

Hello there, I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@sohandas

I can build a scraper to find matches, extract H2H percentages, and export clean CSV/Excel. Ready to provide a quick sample. Which site?

@starttechno

I’ll build an automated scraper that scans the betting website for upcoming football matches across all available leagues, checks whether each match has a Statistics/H2H section, and extracts the three percentages into separate fields: Home Team %, Draw %, and Away Team %. The export will include the league, teams, match date/time, and the three percentage columns in clean Excel and CSV formats. I’ll use Python with Playwright for reliable page interaction, including league navigation, pagination or infinite scrolling, and opening match details only when needed. The scraper will handle missing H2H data, avoid duplicate matches, normalize percentage values, and include clear error handling. I can also structure it so the scan can be run automatically on a schedule, avoiding the need to manually check matches every week. The selectors and output format will be kept easy to update if the website changes. I have 10+ years of experience building web scrapers, automation tools, data-processing scripts, and Excel/CSV exports. Is the target betting website accessible without a login? Muhammad Saad

@vano101

Hi, I have experience with similar web-scraping projects, including extracting football data from platforms such as BetExplorer and Flashscore. I can build an automated tool that scans the available leagues and upcoming matches, checks for the Statistics/H2H section, extracts the Home/Draw/Away percentages, and exports everything into a clean Excel/CSV file. The process can be fully automated, including pagination, league/match discovery, and handling dynamically loaded content where necessary. Before starting, I would need the URL of the football betting website you want to scrape, since the exact approach will depend on its page structure and how the H2H data is loaded.

@vuyiswankosi

Greetings. I have worked on this problem multiple times in the past, and even have an example on my profile's past projects. I can complete this in 1 - 2 days, depending on the site that you want to use as a source and it's anti-bot features. I am available to begin immediately and work until completion. Contact me if you wish to continue. Thanks.

@asifdwan

Hi, I can build a fully automated Python scraper that scans the betting site for upcoming football matches across the available leagues, detects matches with Statistics/H2H data, and extracts the Home, Draw, and Away percentages into separate Excel/CSV columns. I’ll handle pagination, dynamic content, retries, and rate limiting as required, with a clean and reusable codebase plus setup instructions. I can also organize the output by league and include match/date information for easy filtering. I’m ready to start with a sample run to confirm the extraction format before scaling it across all leagues.

@seospider

Hello, Your weekly manual checking can be replaced with one automated scraper that finds upcoming matches, opens only fixtures with H2H stats, extracts Home/Draw/Away percentages, and exports everything neatly to Excel/CSV by league. I’ve worked with Python automation, Playwright/browser workflows, scheduled jobs, API/data extraction, and structured exports. The tool can run automatically on your server and generate a fresh file whenever needed. Which betting website should be scraped? Does it require login, and are the H2H percentages loaded dynamically after opening each match? Best Regards Hasan

@jaunty77

Hey there, I coded many scrapers for betting odds or football stats from betting sites and oddsportal. I would be very interested and I would like to know what betting site are you targetting. I am available to start right away. Please message me so we can discuss details. Regards, Calin Rusu.

@sareheshak

I ALREADY MADE SIMILAR PROJECT LIKE THAT BEFORE. I can start working immediately on "Scrape Soccer Match Team Stats" ,, I will deliver a fully dynamic solution that meets all your requirements efficiently and with high accuracy. About me: 10+ years Advanced Excel/data visualization experience, Certified VBA Programmer, MBA.

@hiberokpars

Hello! I will create a PHP script to scrape soccer Odds data you need Please provide the details: website URL, details. I have extensive experience in writing PHP scripts for Odds data scraping Please see my reviews for reference.

@glanegonsalves

Hey there Glane here, I can build this automated football H2H scraper in Python using Selenium/Playwright and BeautifulSoup, designed to scan upcoming matches across available leagues, detect when the Statistics/H2H section is available, extract the Home %, Draw %, and Away % separately, and export everything into a clean Excel/CSV with league, match, and percentage fields. I’ll structure it with robust waits, error handling, logging, and configurable selectors so it can continue working across multiple leagues without manual checking each weekv

@maxscender

I can help you automate this by building a scraper that navigates the site, identifies all upcoming matches, and checks for the H2H section. It will extract the three percentages and write them directly into a CSV/Excel file with separate columns for Home, Draw, and Away. I’ll also handle edge cases—like matches where the H2H data isn’t available—by skipping them or logging them separately, so your output stays clean and usable without manual intervention.

@toriquldev123

Hello There! I’m Md Toriqul Islam, an experienced Python automation developer specializing in web scraping, browser automation, data extraction, APIs, and Excel/CSV processing. I’m excited to partner with you and can start immediately. I have rich experience in Python, web scraping, Selenium/Playwright, API integration, data parsing, and Excel/CSV automation. I understand you need an automated tool that scans upcoming football matches across available leagues, detects matches with H2H statistics, extracts Home/Draw/Away percentages separately, and exports clean results without manual weekly checking. I’m skilled in Python, Playwright/Selenium, web automation, data extraction, pandas, Excel, CSV, and scheduled automation. I’m ready to start immediately and can build a reliable workflow with proper error handling and a simple process for recurring scans. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@krupnovdenis

Hello! We can build an automated scraping solution for this task. 1. Which betting site should the tool scan? 2. Do you need scheduled exports or only on-demand runs? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@syphaxzen

Hi, I've done this exact task with many betting sites, and for sure i can help you with yours. I can build the tool for you Feel free to message me for more information. regards

@arslanshahid386

Hi, I reviewed Scrape Soccer Match Team Stats and understand the key requirements. I can handle the work efficiently, with clean implementation, proper testing, and attention to the details that matter. I'm ready to get started and can quickly confirm the requirements before moving forward. Looking forward to working with you. Arslan Shahid

@rosscarter1011

Hi, Betting site H2H stats are typically loaded via JavaScript after page render, making simple HTTP requests useless. Reliable extraction requires headless browser automation with session persistence to bypass bot detection. I build scrapers that mimic human browsing patterns and validate data integrity before export to prevent silent failures. Does your target site require login or CAPTCHA to access the Statistics section, or is it publicly visible without authentication?

@bilal4240

I will build an automated Python web scraper to scan all league schedules, extract the Home, Draw, and Away H2H match percentages, and export the structured data into organised Excel/CSV columns. The system will run completely automatically without requiring any manual match checking. Regards, Bilal