Flooring Product Data Extraction -- 2

@sohandas

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@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

@ZohaibRoy

⭐⭐⭐⭐⭐ Web Scraping & Data Consolidation for Flooring Products ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and noticed you're looking for web scraping and data consolidation for flooring products. Look no further; Zohaib is here to assist you! My team has successfully completed 50+ similar projects in web scraping and data management. I will create a scripted solution to extract product data, merge it with your pricing list, and deliver the completed spreadsheets with images. ➡️ Why Me? I can easily do your web scraping and data consolidation as I have 5 years of experience in web scraping, data normalization, and data analysis. My expertise includes Python, Scrapy, and Excel data manipulation. Besides, I have a strong grip on other relevant technologies, ensuring a comprehensive approach to your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Consolidation ✅ Python Programming ✅ Data Normalization ✅ Excel Data Manipulation ✅ Image Downloading ✅ Data Analysis ✅ API Integration ✅ Error Handling ✅ Script Optimization ✅ Data Mapping ✅ Quality Assurance Waiting for your response! Best Regards, Zohaib

@bytessolution

Being in the web scraping and data extraction field for several years, I have amassed a wealth of knowledge and expertise that aligns perfectly with your project. Notably, my skillset in specific URL scraping, e-commerce web scraping, and data consolidation makes me an ideal candidate for extracting and consolidating data from your target flooring manufacturer and distributor websites. In addition, my proficiency in handling PDF to Excel conversions ensures seamless integration of your separate price list. One of our strengths is not only collecting relevant data but also ensuring its accuracy and optimization. I am well-aware of the nuances associated with normalizing data across different websites as well as merging separate datasets. Using Python Scrapy or any other applicable technology, my approach would match website labels to the correct columns using intelligent product matching techniques. Alternatively, I would clearly indicate any unmatched products. With guaranteed high efficiency and commitment to timely deliveries, I assure you that your project will be completed within two weeks exclusive of any flaws or inconsistencies. Lastly, to facilitate possible re-runs or adjustments in future, I can provide you with the source code alongside the main deliverables; two CSV/Excel files populated with all 1,137 products aligned with provided templates, an organized image folder, and populated price column from the separate list.

@asifdwan

As a seasoned Web-Scraping Specialist with expertise in traversing complex and protected websites, I'm confident that I am the best fit for your flooring product data extraction project. With years of data extraction experience, including handling dynamic pages and anti-bot mechanisms, I excel at quickly and accurately delivering reliable, structured datasets tailored to your specific needs. My familiarity with Python-based libraries such as Selenium, BeautifulSoup, Scrapy, and Requests combined with my proficiency in outputting data in various formats including CSV and JSON aligns perfectly with your technical approach. Not only have I dealt with similar-sized projects before, but I've also successfully executed several e-commerce-related scraping jobs find exactly required information or save images locally. Accuracy and attention to detail are sacrosanct to me. With regard to the pricing merge, I will utilize unique identifiers like SKU, brand/collection/product combination or product name for precise merging the separate pricing data from the excel into your final spreadsheets. Any un-matching products will be noted so you can review them individually.

@ShaikhAneesa

Hello, I have carefully reviewed the project requirements for Web Scraping & Data Consolidation of Flooring Products, involving extracting data from various flooring websites and merging it with a separate price list to create two comprehensive spreadsheets with 1,137 products across Engineered Hardwood and Laminate categories. Let's chat and discuss it further. To handle your project, I will start with developing a scripted solution using Python and Scrapy to extract data from the specified URLs. I will then merge the pricing information provided by you into the final spreadsheets, ensuring accurate matching of products based on unique identifiers. The deliverables will include two Excel files with all products and required fields, linked images, and the option for the source code for future adjustments. Before signing-off my bid, I would like to ask a question, i.e., what specific criteria should be used to match products with pricing data accurately? Warm Regards, Aneesa.

@hdlan

Hello! I am a skilled Excel and data entry professional based in Vietnam. I can help you manually extract product information and images from the manufacturer websites and merge them with the corresponding prices from your pricelists. I will organize all data into your two Excel templates with high accuracy and efficiency. Please refer to my similar project https://www.freelancer.com/projects/internet-marketing/Extract-data-from-specific-website https://www.freelancer.com/projects/internet-marketing/Data-extraction-from-the-website https://www.freelancer.com/projects/internet-marketing/Data-entry-from-Surface-website https://www.freelancer.com/projects/data-extraction/Scrape-URLs-from-Provided-Site I’m available online most of the time and respond to messages within 12-24 hours. Let's talk! Duong

@TanvirKhanPaple

Hi there, Project is very clear to me and i can scrape all flooring product data from the provided websites, normalize the fields according to your templates, download product images and merge the separate price list to produce the final spreadsheets for Engineered Hardwood and Laminate. Just message me i am ready to start now and i will send a sample before start. Thank you.

@onlinejob247

As an experienced freelancer with a specialty in web scraping and data extraction, this project aligns perfectly with my skill set. Having worked across several similar projects over the past 15 years, I have developed an expertise in extracting large amounts of data from complex websites and consolidating them into organized spreadsheets. I am comfortable using multiple scraping technologies such as Python, Scrapy, Selenium, BeautifulSoup, etc., and can provide the final dataset in your desired format – be it CSV or Excel. I understand the need for accuracy in this project and take pride in delivering results that mirror the source websites precisely. Let me assure you - no columns will be mismatched. My knowledge of dealing with inconsistent column names across different websites will prove invaluable for normalizing your data while my long experience in data processing would enable me deliver a 100% error-free solution. A quick turnaround time is also something I excel at without compromising on accuracy. With my past record of meeting deadlines and delivering high-quality work, I am confident I can provide your completed dataset within your stipulated timeframe. Let’s get started on this transformative project!

@kayemhussain

Dear hiring manager,, Fully understand your requirements & understood what you require. I can do this project with 100% accuracy right now.i want to send you sample tamlate because your satisfaction is my pride. I am the best freelancer for your job. Choose me and I will deliver within right time.i can get this done for you. Thank you M A Kayem Hussain

@DedicatedVA

Clearly understood your requirement. For this, we will build a scripted solution (Python + Scrapy/BeautifulSoup) to extract all 1,137 products across the specified brands, map each field to your templates, and ensure consistency across both Engineered Hardwood and Laminate datasets. Our approach focuses on carefully scraping each website according to its unique layout, then normalizing inconsistent field labels so they align perfectly with your templates. We’ll download and name all product images consistently, merge the pricing data with unmatched items clearly flagged, and perform thorough quality checks to ensure every detail is accurate before delivery. You’ll receive two fully populated Excel/CSV files, an organized image folder, and the complete source code for future reuse. We’ve handled similar projects involving multi-source product scraping, catalog standardization, and dataset merging, where accuracy and structure were critical for downstream use. Can you confirm whether you’d like us to start with a small sample (10–15 products from one brand) to validate field mapping and output format before proceeding with the full extraction?

@mrbrave

Hi, Thanks for inviting me to bid. I am available to start right away. I will create a script using python to scrape data and use combination of manual work and AI to match products for price field. Later i will share script(including AI) to you. Thanks

@Tanmoy236

Hi! I specialize in web scraping and data consolidation with 9+ years of experience extracting and organizing e-commerce product data accurately and efficiently. Here's how I can help: * Scrape 1,137 flooring products from provided manufacturer and distributor sites * Normalize inconsistent fields to match your Engineered Hardwood & Laminate templates * Download and name all product images consistently, linking them in the spreadsheets * Merge your separate price list accurately, flagging unmatched items * Deliver final Excel/CSV files along with source script for future use Can you confirm if all product images should be resized or kept in original resolution?

@HiraMahmood4072

Hello, I have over 7 years of experience in Data Processing, Web Scraping, and Data Extraction. I have carefully reviewed the project requirements for extracting product data from flooring manufacturer and distributor websites, merging it with a separate price list, and delivering two complete spreadsheets for Engineered Hardwood and Laminate categories. To achieve this, I will develop a scripted solution using Python and Scrapy to extract data from the provided URLs, normalize inconsistent column names, download product images, and merge the pricing information into the final spreadsheets. The output will include two Excel files with all 1,137 products, required fields, populated Price column, and organized image folder. I will ensure accuracy by matching the data with the source websites and provide the source code for future adjustments if needed. I am interested in discussing the project further with you. Please connect with me in chat to explore the technical details and your expectations. You can visit my Profile at https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@rabbiawebjuggler

With my extensive background in data analysis and web scraping, I am confident in my ability to complete the task at hand accurately and efficiently. I've successfully handled similar projects of considerable scale in my 5 years of experience in extracting product data and merging separate sources, which makes me a great fit for this job. In terms of managing the separate pricing list and incorporating it seamlessly into the final data, consider it done! I have vast expertise in handling complex data sources and normalizing inconsistent column names across various platforms. Moreover, I would focus on ensuring that any unmatchable products are either left blank or flagged for easy identification. Additionally, as part of delivering your required files (CSV/Excel), including images consistently named for your convenience, I will be more than willing to provide you with the source code used for this project - just in case you need to rerun or adjust it later. My projected delivery time for this project falls within your specified time frame, i.e., two weeks from awarding the project. Trust me to offer reliable, accurate and timely service. Let's get started with transforming your flooring product data!

@ibnufatah92

Hi, I can build a robust Python scraping pipeline (Scrapy/requests + Pandas) to extract all 1,137 products, normalize fields, download images, and merge your price list via SKU/name matching with validation flags. Output: 2 clean CSVs + image folder + script. Experience in e-commerce scraping. Timeline: 2–3 days. Fixed price: $100. Samples available on request.

@muneeb6767

Hi, I’ve carefully reviewed your flooring data extraction project and fully understand the requirement of scraping 1,137 products across multiple sources, normalizing fields, downloading images, and merging external pricing accurately into structured templates. With strong experience in large-scale product scraping and data consolidation, I’ve handled similar e-commerce datasets where inconsistent schemas were mapped into unified formats with high precision. My approach will involve building a robust Python-based scraper (Scrapy + selective Selenium if needed), creating a normalization layer to map varying attributes (e.g., Wear Layer / Veneer Thickness), and implementing a smart matching logic (SKU + fuzzy name matching) to merge your price list with minimal mismatches. Images will be systematically downloaded and linked to each product. I can deliver clean, validated CSV files (per your templates), organized image folders, and reusable source code within 4–5 days. Fixed price: $200. I ensure high professionalism, accuracy, and timely communication throughout the project. I can also share samples of similar scraping + data merging work upon request. Looking forward to collaborating.

@mzdesmag

Hello sir, Did go through your job description and glad to share that I have enormous experience in working with Flooring Product Data Extraction I'm a seasoned programmer and Engineer with quality experience in Flutter, React, Node.JS, SpringBoot, Frontend and Backend Development, Python, Matlab, R studio, C, C++, C#, OpenCV, OpenGL, Tesseract OCR, google vision, Statistical programming/R progamming data analysis Computing for Data Analysis Time Series & Econometric, Machine learning, AI, Deep learning, Matlab and Mathematica, 3D modeling, CAD/CAM,AutoCAD, 2D, Architectural Engineering, SolidWorks, Unity 3D, PCB, Electronics, Arduino, Automation, Embedded and Firmware , IOT, Electrical/Mechanical Engineering I am a TOP Rated Freelancer, and you can check my reviews here as well: https://www.freelancer.com/u/mzdesmag. Looking forward to potentially working together on this project. Thanks and Best regards, Adekunle.

@mdabu38

I can complete this with a fully automated, accurate scraping and data merge pipeline within 7–10 days, ensuring zero data mismatch and clean structured output.