Football Commentary Data Scraper

@vano101

Hello I am Web Scraping specialist with several years of experience including scraping sport sites, like flashscore/ betexplorer, oddsportal... I am going to use Python with BeautifulSoup/Selenium for your project.. Could you share URL of site to scrap comments from? Thanks.

@farhanyoussef18

Youssef - Full-Time Freelancer & Python Programmer The Football Commentary Data Scraper project aligns perfectly with my skills in data extraction, web scraping, and automation. I note the need to precisely pull live-text commentary from English football matches, focusing on goal minutes (preserving extra-time notation) and exact HT/FT timestamps. My 140+ projects, all with a 100% success rate, have honed my ability to deliver clean, automated data. I'm proficient with Python, BeautifulSoup, and Selenium, ideal for developing the command-line script you described for outputting the match ID, team names, goal scorer, and minute rows into a CSV. This solution will efficiently support weekly data pulls across all requested leagues. Ready to start now.

@enervell

Hi there, I’m excited about the opportunity to build an automated scraper for football commentary. My experience includes developing similar Python-based scrapers that extract real-time sports data, ensuring precision in handling specific match events like goals and time stamps. ### Relevant Experience: 1. **Football Data Scraper**: Created a scraper for live match commentary, focusing strictly on goals and match timing. 2. **Python Proficiency**: I utilize libraries such as BeautifulSoup and Scrapy, which are ideal for efficiently parsing HTML and working with dynamic content. 3. **Data Output**: The scripts I've designed output clean CSVs, just as you require, including pertinent match information without unnecessary details. ### Proposed Approach: 1. **Extract Goals**: Capture and store goals with time stamps, including extra time notation. 2. **Capture HT and FT**: Ensure half-time and full-time data are accurately recorded. 3. **Documentation**: Provide clear instructions for adapting the script to new match URLs. Let’s discuss how I can best meet your requirements! Thanks, Luis

@dfordesigners

Hi Amar H. I’m your web developer, ready to turn your project Football Commentary Data Scraper into reality! I’d love to discuss the details and create something amazing together. Feel free to message me anytime, and we can also hop on a quick video or audio call whenever it's convenient for you. I’ve developed many projects exactly like what you’re looking for. If you want to see more relevant samples, just contact me through the chatbox, and I’ll share them instantly. ★ Why Clients Trust Me 500+ successful web projects delivered 430+ positive client reviews Expert in Python, Data Processing, Web Scraping, Software Architecture, Data Mining, Scrapy, Data Extraction, BeautifulSoup, Selenium, Automation WordPress, Shopify, PHP, JavaScript, HTML, CSS, Plugin/Theme Development, Laravel, WebApp Clean, modern, responsive and SEO-optimized designs Fast delivery, great communication, and long-term support Available during EST hours for smooth collaboration If you want a professional developer who delivers quality work on time and stress-free, let’s connect. I’m excited to help build something amazing for you. Best regards, Kausar Parveen

@HiraMahmood4072

Hello Amar H. I hope you're doing well. I understand you're looking for Football Commentary Data Scraper I am the ideal candidate for your project. I have read the provided job description and I understand what you are looking for. I have over 10+ years of experience Python, Data Processing, Web Scraping, Software Architecture, Data Mining, Scrapy, Data Extraction, BeautifulSoup, Selenium, Automation .Please feel free to further discuss the requirements and timeline for the project. I'd be happy to assist you. I am ready to start right now. ✅ No Upfront Payment ✅ Release Milestone After Completion ✅ 100% Project Completion Rate You can visit my Profile https://www.freelancer.com/u/HiraMahmood4072 Thank you

@DeyaaAhmed

Hello, I can help you build a clean, command-line Python scraper that extracts only goals (with exact minute notation like 90+3) and HT/FT timestamps from live football commentaries. The output will be a minimal CSV with match URL, teams, event type, minute, and scorer when available. The script will use BeautifulSoup (with optional Selenium if needed), run on macOS/Linux, and include a short README for easy reuse across Premier League, Championship, or FA Cup matches. Thanks!

@rosscarter1011

Greetings! I hope you're fine as always. I'd be glad to help you in extracting and delivering the live-text commentary data in CSV format. I can assist you in gathering any data from any platform and compiling it into a structured format by BeautifulSoup and Selenium for the data extraction process and other Python libraries (like CSV, Numpy, and others) for storing and compiling them. My plan for your project is: 1) Initial Setup and Testing: This includes analyzing the website structure and setting up the scraper application. 2) Data Extraction: Running the application and doing the main data mining process with all data sources. 3) Data Cleaning and Deduplication: Checking the output and cleaning them from any extra data. 4) Output delivery: Delivering the final output. For starting our first collaboration, Let’s connect and discuss about your conditions and the project details. I'm a professional web scraper with expertise in Python web scraping tools (Selenium and BeautifulSoup), data analysis libraries (like Numpy, CSV, MySQL, and others), Git for version control, and automation with Python. Besides of my skills, I can deliver clean and precise results to give you a confidence about my work quality. Also, I have done related projects like lead generation, price monitoring, data collection, and content aggregation. I'm waiting to reach out now, so let’s get started.

@trm66614

Hi there, Good evening I am Talha. I have read you project details i saw you need help with Selenium, Web Scraping, Python, Automation, Data Mining, Scrapy, Data Extraction, Data Processing, BeautifulSoup and Software Architecture I am excited to submit my proposal for your project, which focuses on a comprehensive project plan. To begin, we will thoroughly understand your project's objectives and requirements, ensuring alignment on scope and goals. We will provide a clear and realistic project timeline with manageable milestones to ensure timely completion 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

@teodorgeorge

Hi Amar, I understand you need a focused football commentary scraper that pulls goals and exact half/full-time stamps with minute preservation, and outputs clean CSVs. I have solid experience with Python and BeautifulSoup/Scrapy for precise web scraping and data extraction, ensuring the script is automated, easy to configure, and well-documented for running on OSX/Linux. I will deliver clean, commented code alongside example CSV output and a straightforward read-me so you can update URLs and expand league coverage easily. Thanks, Teo.

@sarbtech123

As a proficient Python developer and advanced automation architect with over five years of experience, I specialize in building high-impact, scalable, and intelligent systems. One of my areas of expertise is web scraping and data extraction using various tools like Selenium, Playwright, Scrapy, and BeautifulSoup - the exact kind of skills that your 'Football Commentary Data Scraper' project necessitates. I understand that what sets an excellent data scraper apart from a good one is not just the ability to extract data accurately, but also to do it at scale. Leveraging my experience, I can develop for you an automated script capable of delivering your required football commentary data once a week across multiple leagues as requested. Whether it's collecting goal details (while preserving extra-time notation), half-time and full-time timestamps, or keeping extraneous information out, you can rely on me to produce precise results. Additionally, I place strong emphasis on creating clear and well-documented code. Your deliverable requirements align perfectly with my standard practice as I always make sure to provide detailed read-me files along with source code explaining how to integrate new match URLs or regenerate the CSVs easily. By selecting me for this project, not only are you getting a competent programmer but also an efficient collaborator who will keep you informed at every step of the process

@tartas2

I develop highly efficient Python-based bots designed for large-scale data crawling. These bots integrate proxies to ensure secure, uninterrupted access to data sources. Optimized for big data, my bots can handle vast datasets, making it easier to scrape, process, and store data for analytical purposes at any scale.

@deniskirilov0212

Hi, I read your job description carefully and understood it clearly, and I can build your fully automated football-commentary scraper that pulls only goals with precise minutes (including 45+2, 90+3, etc.) plus halftime and full-time timestamps from live-text pages for the Premier League and any future English leagues, outputting a clean CSV with match URL/ID, team names, scorer, minute, HT, and FT, using a lightweight Python stack (BeautifulSoup, Scrapy, or Selenium depending on the site structure), delivering fully commented source code, a requirements file, an example CSV, and a simple read-me showing how to point the script at new match URLs and run it weekly on macOS or Linux exactly as required.

@umarejaz0

Hello, I understand that you require a Python scraper to extract live-text commentary data from football matches in English leagues, focusing on goals, goal times, and match end times. I will develop a script using Python with BeautifulSoup, Scrapy, or Selenium, ensuring clean CSV output with match ID/URL, team names, goal scorer, minute, and separate rows for half-time and full-time. With expertise in Python and web scraping tools like Selenium, I am confident in delivering accurate and efficient results. I will provide the scraper source code, example CSV, and a user-friendly readme for ease of use on OSX or Linux. Before proceeding, could you confirm the specific leagues to be included and any preferred match sources? Looking forward to working on this project with you. Best regards, Umar

@billybryan98

Hello Amar, I'm confident I can build a lightweight Python scraper (BeautifulSoup/Selenium) to pull only goals with precise minutes (preserving 45+2/90+3) and HT/FT timestamps, outputting a clean CSV with match ID/URL, teams, scorer and minute. I’ll target Premier League first and can extend to Championship/FA Cup; I'll use requests/Selenium, robust parsing and unit-tested extraction so results are reliable and schedulable. Please feel free to contact me so we can discuss more details. Best regards, Billy Bryan.

@maredjkl

Hi there, I understand that your main goal is to create an automated scraper to extract live-text commentary for football matches, specifically focusing on goals and match time stamps. I have successfully developed web scrapers using Python, BeautifulSoup, and Scrapy, which have streamlined data extraction processes for various clients, leading to an increase in efficiency by over 30%. In a recent project, I created a similar scraper that produced structured CSV outputs, improving data accessibility for analysis. To implement your requirements, I will build a Python-based scraper that captures the specified data for each match and outputs it in a clean CSV format. The scraper will be designed to run weekly and will include a read-me guide for easy adjustments to match URLs. I would be happy to discuss your needs and get started right away. Best regards, Marko

@liamch3D

As a seasoned Full Stack Web Developer with over a decade unwavering experience in Python and web scraping, I have precisely the skillsets you need for your Football Commentary Data Scraper project. Throughout my career, I've successfully delivered more than 50 high-impact solutions and automated scripts just like what you're requesting, ensuring my clients' needs are met to their desired specifications while maintaining ease of use. Using powerful scraping tools such as BeautifulSoup, Scrapy or Selenium - whichever you prefer - combined with Python, I can meticulously curate the exact datasets you require: every goal alongside its accurate minute (including bonus time notation), halftime and full-time timestamps. Furthermore, I understand the value of your time; hence why I always ensure that my code outputs clean CSVs, easy to understand enough for any required future manipulations. Considering the scope of your project includes scaling up to different leagues, my extensive experience in building robust and complex web applications is a great asset! Whether it's the Premier League or the Championship or even the FA Cup, count on me to deliver data that is consistent across all leagues requested. Additionally, your convenience matters to me; therefore, I'll provide a comprehensive readme to empower you in regenerating updated CSV files from new match URLs in seconds. Let's kickoff this project together for stellar results!

@Philostructure14

Hi, I can build a precise Python scraper to pull goal and match-end timings from football live commentaries for you. I specialize in creating targeted web scrapers using libraries like BeautifulSoup and Selenium to reliably extract specific data from complex websites, and I'll ensure the script correctly handles extra-time notation (e.g., 45+2). The script will output a clean CSV file with only the data you need: goals, HT, and FT timings, along with match details. I'll deliver the fully commented source code, a requirements file, a sample CSV from a recent match, and a clear README so you can easily run it and point it at new match URLs. Visit My Portfolio for Data Solutions: https://www.freelancer.com/portfolio-items/7651052-data-entry-and-processing-and-visualize

@thomasb726

⭐If you award me, your smile shows up.⭐ Hi Amar H. Your project really caught my attention — it’s very similar to one I completed recently. The setup feels familiar, with the same kind of challenges, just a few unique details. That’s actually great news, because it means I already know what works and can move fast without trial and error. Most importantly, I have deep experience and hands-on expertise with Data Extraction, Software Architecture, Selenium, Automation, Scrapy, Web Scraping, Data Mining, BeautifulSoup, Data Processing and Python. In my portfolio, you can find a project similar to yours. https://www.freelancer.com/u/thomasb726 If you’re open to it, I’d love to hear more about what you’re building and share a few ideas from my past experience. ❓ Why clients choose me: ✅ Clear, fast, and proactive communication — you’ll never be left guessing where things stand. ✅ I treat your deadlines and reputation like my own — because once we start, they are. ✅ Easy to talk to, quick to respond, and focused on making your job easier. ✅ I always stand by and support the clients I work with, even long after delivery. Many of my clients stay with me long-term — because I show up, deliver, and don’t disappear. If you’re looking for a project executed with precision and quality, let’s chat soon and get started. Best, Tom

@robertw0802

Hi Amar, I’m Robert, a Senior Full-Stack & AI Engineer with over 10 years of experience architecting and delivering automation systems, data processing, and web scraping solutions. My strengths include proficiency in Python, expertise with BeautifulSoup and Scrapy, along with a strong focus on data integrity and performance. I developed an automated scraper for gathering live sports commentary data, ensuring precise extraction of key events like goals and match timings. This experience positions me well to efficiently create a tailored scraper for the football commentary data, capturing the required details in a clean CSV format. I can complete this project perfectly and deliver scalable, production-ready results. I’m committed to clean architecture, structured documentation, and easy command-line execution on OSX or Linux. Let’s connect to refine your requirements and begin building a solution that exceeds expectations. What specific leagues do you want included in future scraping after the Premier League?