Merge Datasets with Scraped Data

@schoudhary1553

As the CEO and Founder of Digital Screencast and with over 7 years of industry experience, I am confident in my ability to complete your project to your utmost satisfaction. My key expertise lies in data analysis, entry, mining, scraping, and manipulation - all skills that align perfectly with your project requirements. Additionally, I have a great deal of familiarity working with large datasets in Excel format - perfect for merging your current football dataset with the new one. Moreover, my proficiency in web scraping is a significant asset for this project. In my previous work for top companies like Metlife GOSC and DXC technologies, I've scraped website data just like you need by collecting accurate weather and football statistics. This coupled with my strong analytical skills ensures that the correlation between the datasets will be precise and reliable. I deeply understand how important the quality and timeliness of this job is to you. Hence, I guarantee utmost accuracy and fast turn-around time without compromising on quality. Furthermore, I focus on building long-term client relationships – meaning I'm not just here to complete your current project; I'm committed to being there for any future data needs you may have. Let's start working together on this exciting project and leave all your data worries to me!

@asifdwan

I can scrape reliable weather and xG data, then merge it cleanly with your existing football dataset in Excel. I’m strong in data scraping, cleaning, and correlation, and I’ll make sure temperature, humidity, and precipitation are accurately aligned to each match. You’ll get a well-structured, analysis-ready file with clear logic and minimal manual work on your side.

@ASirbescu

As an experienced Full-Stack Digital Specialist with strong Excel and Google Sheets expertise, I specialize in managing, scraping, and merging large datasets efficiently. I have built complex databases and developed structured solutions that ensure clean, coherent, and well-correlated data. With a strong interest in sports analysis, I understand football metrics such as xG and can effectively combine them with weather variables like temperature, humidity, and precipitation to generate meaningful insights. Detail-oriented and analytical, I focus on delivering accurate, high-quality results on time, tailored to your business objectives.

@DedicatedVA

We can scrape official weather and football statistics websites to extract temperature, humidity, precipitation, and expected goals (Xg) data, and integrate it seamlessly with your existing football dataset in Excel. Using Python (BeautifulSoup/Requests, pandas) or Power Query, we’ll clean, normalize, and merge the datasets, ensuring accurate alignment by match date, venue, and teams. The final workbook will include correlation-ready columns, and we can provide the scripts so future updates can be automated efficiently. Can you share the websites or sources you’d like us to scrape so we can design the extraction and merging workflow for maximum accuracy?

@ayazakhtar75

As an experienced data analyst with a profound mastery of Excel and Google Sheets for over 16 years, I'm confident in my ability to handle your project's merging and analysis demands. Not only do I efficiently scrape and mine data from multiple sources, but I also shine in correlating diverse datasets. My proficiency in managing large datasets becomes particularly crucial for the vast amount of football and weather data we'll be working with - enure that you won't have to worry about any technical limitations. My dedication to maximizing efficiency and adding value e further bolsters my skills as a candidate for this project. By utilizing my strong analytical capabilities, I guarantee precise correlation between your historical match data and the newly sourced weather and XG information. With my broad experience spanning across multiple industries and familiarity with both football and weather data, I appreciate the nuances involved in accurate correlation that can create valuable insights. Through our collaboration, we will streamline your football dataset with unprecedented context - optimizing your own efficiencies providing invaluable gains for your decision making process. Let’s make the most of your data together!

@ShaikhAneesa

Hello, I have carefully reviewed your project requirements and understand the goal of merging your current football dataset with new weather and expected goals data. I can confidently handle this project and deliver accurate, fully integrated datasets that enhance your analysis. My approach will begin by scraping official weather and football statistics websites using Python libraries such as requests, BeautifulSoup, and pandas for structured data extraction. I will then clean and normalize both datasets to ensure consistency in formats and match identifiers. The new weather data, including temperature, humidity, and precipitation, will be merged seamlessly with your existing historical football data in Excel, using openpyxl or xlsxwriter for efficient processing of large datasets. I will then validate correlations to ensure accurate integration and ready-to-analyze results. I am ready to start immediately and ensure a precise, reliable dataset. Would you like me to include automated checks to verify consistency between the new and existing data after merging? Lets chat and discuss further! Best Regards, Aneesa

@hiberokpars

Hello, I will create a PHP script to automate your task. Please provide the details I have extensive experience in writing PHP scripts for Soccer stats API/Scraping Please see my reviews for reference.

@HiraMahmood4072

Hello, I have over 7 years of experience in Excel, Web Scraping, Data Entry, Data Scraping, and Data Management. I have carefully reviewed your project requirements and am confident in my ability to assist you with merging your football dataset with the scraped weather and expected goals data. To achieve this, I will utilize web scraping techniques to extract weather data such as temperature, humidity, and precipitation from official weather and football statistics websites. I will then integrate this new data with your existing football dataset in Excel format, ensuring a seamless correlation between the datasets. My expertise in data manipulation and analysis, coupled with my experience in handling large datasets, makes me well-equipped to successfully merge the datasets while maintaining data integrity and accuracy. I would appreciate the opportunity to discuss the project further with you. Please feel free to connect with me in the chat to explore how we can collaborate effectively. You can visit my Profile: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@zafarfarooq612

Hello, I can help you merge your current football dataset with new weather and expected goals (xG) data by scraping official sources and integrating the information accurately in Excel. I will collect temperature, humidity, and precipitation data, as well as xG statistics, and align them with your historical match records, ensuring all entries match by date, team, and match. I have strong experience in data scraping, Excel data manipulation, and handling large datasets, and I will ensure your merged dataset is clean, well-structured, and ready for analysis, with precise correlations between weather, xG, and match outcomes. Regards, Zafar

@Fazeennazar

Hello Thank you for posting job. I just checked your project carefully. I am an python expert with experience in web scrapping using Pupetter, Ads Power, Scrapy and Selenium driver. So it is very motivated and interesting for me. It is an ideal match for my skill and experience. If you hire me, you would get perfect result and service asap. I hope work hardest for your success. Thanks & Regards.

@AmazingEngr76386

You will get a merged football dataset where each match is correctly matched to xG and weather fields with no mis-joins or duplicates. WHAT I’LL DELIVER / MY APPROACH / HERE’S MY PLAN: → Scrape xG and weather from reliable sources and normalize formats → Build a match-key system (date, team, venue, competition) to join datasets accurately → Append temperature, humidity, precipitation, and xG into your Excel dataset with checks → Deliver the final merged Excel plus a repeatable scraping and refresh workflow I’ve merged multi-source sports datasets (match stats, odds, weather) at 100,000+ rows with validated joins and error flags.

@vsprybhanu

Hi, I can help scrape weather and XG data from official sources and merge it with your existing football dataset in Excel. I’ll integrate temperature, humidity, and precipitation, then correlate it with your historical match data to ensure accuracy and usability for analysis. I have experience in data scraping, Excel data handling, and working with sports and weather datasets. The final workbook will be clean, structured, and ready for analysis. Best Regards, Virendra

@techplusintl

Hi there, ★★★ Web Scraping / Data Scraping Expert ★★★ 10+ Years of Experience ★★★ To complete this project, I will follow a structured approach to ensure efficient merging of the datasets. 1. Analyze the existing football dataset and identify the required fields. 2. Scrape the weather and expected goals data from designated websites. 3. Clean and format the scraped data to match the existing dataset structure. 4. Integrate the weather data including temperature, humidity, and precipitation into the football dataset. 5. Correlate the new data with historical match data and validate the results. Estimated working hours: 1.5 hours for analysis 2 hours for scraping 1 hour for cleaning 2 hours for integration 1 hour for correlation and validation. Total: 7.5 hours. What I need from you: 1. Access to the existing football dataset in Excel format. 2. Any specific websites or sources you prefer for scraping weather data. 3. Clarification on how you would like to handle missing data points in the correlation. I look forward to connecting at your convenience to ensure the project's success. Best Regards, TechPlus Team

@brayanstiven5

Hi, there, I have extensive experience in data scraping and manipulation, specifically merging datasets and correlating data points. With proficiency in Excel and handling large datasets, I can seamlessly integrate the weather data you require from official sources and match it with your football dataset. ✅ I will scrape weather and expected goals data, extract temperature, humidity, and precipitation, and align it with historical football information. ✅ Leveraging my analytical skills, I will ensure accurate correlation and seamless integration. ✅ My past experience in data analysis and mining equips me to deliver high-quality results efficiently. Looking forward to collaborating on this project.

@alaminforayaji

Hi, I am expert in Datasets Merge. I have more than 10 years experience in this skill. I can do this football data merge 100% accuracy. I am ready to start right now. Thank you.

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project — Merge Datasets with Scraped Data . I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan

@muneeb6767

I can scrape reliable weather + xG data, clean and match it to your existing football Excel dataset (by date/team/location), then deliver a merged, analysis-ready file with consistent formatting and accurate correlations. Fast, detail-focused, and fully repeatable for future updates

@larsenm2020

As an experienced freelancer specializing in data entry and web scraping, I have the necessary skills to extract valuable weather and expected goals data for your football dataset. My capacity to scrape data from official websites, as well as to integrate and manipulate it in Excel, is definitely an asset for this project. In addition to my technical expertise, I possess a deep understanding of weather and football data, which I believe is essential for its effective utilization. My analytical capabilities, honed over years of working with large datasets, ensure that the correlation between the current football information you have and the new weather statistics will be precise and thorough. Overall, my dedication to learning and improving will be vital to the successful merger of both datasets. With my skills and commitment, I can guarantee that you will receive an integrated dataset that maximizes your football analysis potential. I look forward to discussing this project further with you!

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam