Extract Links from HomeDepot.com

@mananraja

Hi "I have reviewed the notes and file and I can do this" I will develop a bot/program to extract product links from "Frequently Bought Together" section for all 350k Home Depot links, into a CSV file. I'm available to start right away and will complete this in 1-2 days. Abdul H.

@ESOLUTIONSSS

Hello, I'll be glad to assist you with this project. I can work with you during the next hours to have this done. I will complete this project with 100% accuracy. Click on the "CHAT" button so we will discuss it in detail. I'm always online and available. Please feel free to contact me at any time. I am available 24/7 for support. Best Regards Sandeep

@farhanyoussef18

I have reviewed the notes and file and I can do this. Youssef, Full-Time Freelancer with Python Programming expertise in web scraping and automation. I understand you need to efficiently extract 'Frequently Bought Together' product links from 350,000 Home Depot URLs. I can build a robust Python automation script using Playwright or Selenium to navigate each page, handle dynamic content, and accurately extract these associated URLs, even when the section is not present, utilizing the provided zipcode 40511. My process will deliver the required 6-column CSV output, ensuring careful verification for products without the 'Frequently Bought Together' section. I have extensive experience with complex data extraction and browser automation on similar e-commerce platforms, guaranteeing reliable results for this project.

@ShaikhAneesa

Hello, I have analyzed the project requirements and understand that you need someone to extract the URLs associated with the Frequently Bought Products Link from HomeDepot.com. Let's chat and discuss it further. To handle your project, I will start with visiting the provided Home Depot links and extracting the URLs of the products listed under the Frequently Bought Together section. I will organize the extracted URLs into a CSV file with 6 columns as specified. The deliverables of the project will include a CSV file with the Original Product URL in Column 1 and the URLs of the 1st to 5th Frequently Bought Together products in Columns 2 to 6. Before signing-off my bid, I would like to ask a question, i.e., do you have any specific preferences for the format or naming conventions of the CSV file? Best Regards, Aneesa.

@tusharhossen123

I am ready to start the work. i can do this work easily. if you want to message to me so we can discuss more if you want to message to me.

@husseinhoss

I can finish this in a couple of hours using my python skills in web automated scraping with experience almost 5 years.

@HiraMahmood4072

Hello, I have over 7 years of experience in Data Processing, Web Scraping, Data Entry, Data Extraction, Data Management, and Data Mining. I have carefully read the project requirements and understand the need to extract links associated with the Frequently Brought Products section on HomeDepot.com. To complete this project, I will create a web scraping script using Python to visit each of the 350k Home Depot links provided. The script will identify the Frequently Bought Together section on each page and extract the URLs of the associated products. The information will be organized into a CSV file with 6 columns as requested. I will ensure that the script accounts for cases where there are no Frequently Bought Together items and verify the accuracy of the extracted links. Once the extraction is complete, I will review the items without associated products to confirm they were not missed. Kindly connect with me in the chat to discuss this project further. You can visit my Profile: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@FreelancerTechX

"I have reviewed the notes and file and I can do this." Hello, I fully understand your requirements. I am ready to start Thanks and Regards, Everest Technology .

@blackrockwise

I have reviewed the notes and file and I can do this. Hello, I understand you need a data extraction specialist to process approximately 350,000 HomeDepot product URLs and extract the links associated with the 'Frequently Bought Together' section. The deliverable is a CSV file with six columns, including the original product link and up to five associated product links, where available. With extensive experience in large-scale web scraping and data processing, I am confident in delivering a highly accurate and efficient solution that respects your requirements. I will ensure that cases without the 'Frequently Bought Together' section are properly handled and verified for completeness. Using reliable scraping tools and industry best practices, I will also ensure the task avoids unnecessary data such as pricing or unrelated details, focusing solely on the required URLs. I am committed to quality checks, including validation against items without these links, to guarantee no data is missed. I estimate completing this project within 7 days, providing you with the CSV file formatted as requested. Let's discuss further to get started and ensure your data needs are met promptly and professionally.

@HasanainAR

I have reviewed the notes and file and I can do this. With expertise in Web Scraping and Data Extraction using Python, I specialize in navigating complex data structures and deliver efficient results and scalable solutions. Let’s connect to discuss further

@AvinaHSinha7

Hi, I have reviewed the notes and file and I can do this. For this scale (350k URLs), I’ll build a robust Python scraper using Playwright to handle dynamic content like the “Frequently Bought Together” section, with proper rate limiting and retries to avoid blocks. The script will extract up to 5 associated product links per page and structure them exactly into the 6 required CSV columns. I’ll also include validation checks to ensure pages without the section are truly empty and not missed. Estimated time: 2–3 days for full run + validation Can start immediately. Let’s connect over chat to proceed. Best regards, Avinash

@jesica46

Hello, I hope you’re having a great day. I reviewed your project and I would be happy to assist you with your Data Analysis needs. As a professional data analyst, my goal is to transform raw data into clear and meaningful insights that help clients understand their data and make better, data-driven decisions. I can help you clean and organize raw or unstructured data, perform accurate and detailed analysis, identify trends and patterns, and create professional charts, graphs, and dashboards. I will also provide a clear, well-structured report with actionable insights so that the results are easy to understand and useful for decision-making. I have experience working with tools such as Microsoft Excel, Google Sheets, Python, and Power BI, which allow me to analyze data efficiently and present the results in a professional and easy-to-understand format. I always focus on delivering high-quality and accurate work, maintaining clear communication with clients, ensuring fast and on-time delivery, and providing complete client satisfaction. I would love to learn more about your project. Could you please share the dataset and let me know what type of analysis or insights you are looking for? Once I review the details, I can start working immediately and deliver the results as quickly and accurately as possible. Thank you for your time and consideration. I look forward to working with you. Best regards,

@pvsysgroupinc

Leveraging 17+ years of experience as a successful professional freelancer, I bring robust data entry and web scraping skills that are an ideal fit for your project. With a proven track record of completing over €500,000+ worth of projects, including ones similar to yours where attention to detail matters, my work style ensures absolute measurability and high-quality results. My experience also entails overseeing end-to-end project execution without any outsourcing or third-party involvement. I guarantee that all your project requirements will be handled personally with utmost precision, confidentiality and reliability. I completely understand that not every Home Depot link will have a Frequently Bought Together section; rest assured- no link will be missed from my side. As the owner of my firm, PVSYS Group, you can count on direct communication with me throughout the project timeline. My availability round-the-clock makes it possible for us to work seamlessly, even across different time-zones. I can start this task right away and commit to delivering precise CSV outputs within the sparsest turnaround time. Let me know your thoughts - I'm confident we can get this done swiftly and efficiently. Thank you for considering me for this project - "I have reviewed the notes and the file and I can do this."

@FizzaNadeemK

Hi, I have reviewed the notes and file and I can do this. I can extract all “Frequently Bought Together” URLs from your Home Depot product links and organize them into the 6-column CSV as requested. My approach is to programmatically visit each link, capture the FBT section URLs when available, and ensure items with no FBT entries are correctly left blank. Do you want the CSV sorted in the same order as your original list, or can it be grouped by availability of FBT items? I’m ready to start immediately and can deliver the completed dataset efficiently. Looking forward to helping you get this massive extraction done accurately. Best Regards, Fizza Nadeem K

@johnedwardl

Hi, I have reviewed the notes and file and I can do this. I will extract the URLs for the "Frequently Bought Together" products from the provided Home Depot links. Each entry will be organized into a CSV file with the specified six columns, ensuring accuracy even for products without associated links. With extensive experience in data scraping and manipulation, I will utilize efficient methods to handle the volume of 350k links while ensuring that the output is clean and meets your requirements. I’ll implement checks to confirm that no products are missed in the extraction process. I can start immediately and deliver the completed CSV file within 48 hours. Please let me know if you have any specific preferences for the output format or additional checks you'd like performed. Thank you.

@sertev2022

Greetings! Dear Client., How are you? I have just read your proposal and understood the requirements. I’m a Software Architecture, Data Mining, Web Scraping, Excel and Python Expert with over 7 years of experience.. Client satisfaction is my pride and goal. I hope to make another perfect result with an excellent client. Kind Regards,

@Hemantt841

I have reviewed the notes and file and I can do this. Hi, I see you need to extract URLs from the Frequently Bought Together section on 350k Home Depot product pages and organize them into a CSV with six columns, including the original product and up to five associated products. You want to ensure that items without this section are accounted for as well, which is crucial for accurate data. Your project requires scraping specific links from each product page, focusing solely on the URLs related to Frequently Bought Together products, without pricing or other details. Using the provided zip code 40511 for location settings is a helpful detail to ensure consistent results. The CSV output format with exact columns is clear and will guide the data structuring. I have built web scrapers that handle large-scale e-commerce data extraction, including dynamic sections like Frequently Bought Together on product pages. For instance, I developed a scraper for a retailer that pulled related product links and output them into structured CSV files, handling exceptions when sections were missing. This experience directly applies to your Home Depot scraping needs. I can complete this extraction and provide the CSV file within 7 days, allowing time for thorough testing, especially on products without related items. Let’s discuss further to ensure all details are covered.

@zarminagull189

⭐HIGH-SCALE HOMEDepot LINK EXTRACTION — ACCURATE & STRUCTURED⭐ I have reviewed the notes and file and I can do this. I understand you need to process ~350k product URLs and extract the “Frequently Bought Together” links in a clean, structured CSV format with strict accuracy. ✅How I will handle this: ↪️ Build a reliable scraping script to process all 350k links efficiently ↪️ Extract up to 5 associated product URLs from the “Frequently Bought Together” section ↪️ Ensure correct mapping (original product → associated links) ↪️ Handle cases where the section is missing without errors ↪️ Use zipcode 40511 as required for consistency ↪️ Implement validation checks to ensure no sections are missed ✅DELIVERABLE: ✔️ Clean .xlsx/CSV file with 6 columns as specified ✔️ Properly linked rows for each product ✔️ Verified samples to ensure data accuracy ✅APPROACH: ✔️ Python (requests / Selenium if needed for dynamic loading) ✔️ Scalable batching to handle large dataset without failure ✔️ Data validation + re-checking missing entries ⏱️ Timeline: 2–4 days (depending on rate limits) ? Budget: Within your range ?Portfolio: https://www.freelancer.pk/u/zarminagull189 I’ve handled large-scale scraping tasks before and can ensure this is completed accurately and efficiently. Let me know if you want me to start with a small sample first

@maisam08

I have reviewed the notes and file and I can do this. i worked on the data entry for 4 years also i am working as quality assurance , just i tried to open the link but it gives me " Access Denied " anyway i can start immediately . Thanks