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I need the product information for current-model home appliances gathered from leading comparison websites and delivered in a clean, well-structured Excel workbook. Scope • Target category: home appliances only, no other product lines. • Source: public comparison websites (not manufacturer or single-store pages). • Fields required: product name, full description, customer reviews and numerical ratings. Prices and stock status are not needed this time. Dataset expectations A single .xlsx file separated by appliance type (e.g., refrigerators, washing machines, microwaves) on individual sheets. Each sheet should list: – Product Name – Description (paragraph form, no HTML tags) – Average Rating (numeric) – Review Text (one row per review, repeat product name if necessary) Include a brief README sheet that explains any column codes or scraping limitations you encountered. Technical notes Feel free to use Python, Scrapy, BeautifulSoup, Selenium or a similar scraper—whatever you are fastest with—provided the final data is accurate, deduplicated and ready for pivot-table analysis. If you plan on using an API or paid proxy service, let me know in advance so I can approve the approach. Acceptance criteria 1. At least 300 unique home-appliance models covered. 2. Data accuracy spot-checked at 95 % or higher against live pages. 3. No blocked URLs or CAPTCHA text left in the cells. Once the workbook passes the checks, the project is complete. Let me know your estimated turnaround and any questions you have about specific comparison sites.
Project ID: 40432495
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Active 7 days ago
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10 freelancers are bidding on average ₹1,195 INR for this job

I have done a similar project a week ago. I am sure you will give me more projects after this. I am interested to do this project too and ready to complete this within the timeline. Kindly check my profile to see all rating and reviews given by clients. Hoping to hear from you soon. Payment after completion.
₹1,050 INR in 1 day
5.1
5.1

Hi there, I can gather and organize current-model home appliance data into a clean, analysis ready Excel workbook with separate sheets for refrigerators, washing machines, microwaves, dishwashers, air conditioners, and other appliance categories. I will scrape only public comparison and review platforms, extract product names, full cleaned descriptions, numerical ratings, and detailed customer reviews, then deduplicate and structure everything into a professional .xlsx file suitable for pivot tables and filtering. A README sheet will also be included explaining source handling, field formatting, and any scraping limitations encountered. I can work with Python using BeautifulSoup, Selenium, and Scrapy depending on site structure, and I will avoid manufacturer-only or retailer-only pages unless explicitly approved. I will ensure coverage of at least 300 unique appliance models with manual spot checking to maintain 95%+ accuracy against live pages. The workbook will be delivered fully cleaned with no HTML residue, CAPTCHA text, or blocked page artifacts left in the dataset. No paid APIs or proxy services will be used unless a target site specifically requires them, and I will notify you before proceeding with any paid approach. Estimated turnaround is 4 to 6 days depending on the number of comparison websites you want included and the review volume per product.
₹600 INR in 1 day
3.0
3.0

Hello, I’m very interested in this project and I understand the importance of collecting accurate, well-structured, and clean product data for analysis purposes. I can help gather current-model home appliance information from leading comparison websites and organize everything into a properly formatted Excel workbook exactly as requested. I’m comfortable working with Excel, Google Sheets, and web research tools, and I understand the importance of maintaining data accuracy, removing duplicates, and keeping the formatting clean and consistent for easy pivot-table analysis. I can organize the workbook by appliance category with separate sheets for refrigerators, washing machines, microwaves, and other appliance types as required. I also understand the need to: • Keep descriptions clean and free from HTML tags • Maintain one review per row for better analysis • Include numerical ratings accurately • Avoid blocked pages, CAPTCHA text, or incomplete entries • Provide a clear README sheet with notes and limitations if needed I’m detail-oriented, reliable with deadlines, and committed to delivering organized, high-quality work. I would truly appreciate the opportunity to work on this project and prove my dedication through accuracy and consistency. Regards, Himanshu Bisht
₹1,500 INR in 7 days
2.4
2.4

Hello, i read your requirement .I have experience in excel and done many projects, i give you best work on your time and budget. Thanks waiting for your response...
₹800 INR in 4 days
1.9
1.9

Hi there, I read your requirements carefully, and I can collect current-model home appliance data from public comparison websites and organize it into a clean Excel workbook. I can gather at least 300 unique appliance models across categories like refrigerators, washing machines, microwaves, and other home appliances, then structure each appliance type into a separate sheet with product name, paragraph description, average numeric rating, and review text with one review per row. I can help with: * Data scraping from public comparison websites * Product description and review extraction * Rating cleanup and formatting * Deduplication and accuracy checking * Separate Excel sheets by appliance type * README sheet with notes and limitations * Final .xlsx ready for pivot-table analysis I can use Python, BeautifulSoup, Selenium, or manual verification where needed, and I’ll avoid leaving blocked URLs, CAPTCHA text, or messy HTML in the final file. Cost: ₹3,000 || Timeline: 1-2 days Payment and timeline details can be discussed further to align with your expectations. I’d be happy to deliver a clean, accurate, and well-organized appliance dataset. Best regards, Oluwatobi Okedairo
₹3,000 INR in 1 day
1.3
1.3

Hi there, I can help you collect and organize detailed product information for current-model home appliances from leading comparison websites into a clean, well-structured Excel workbook. I’m experienced with web scraping tools such as Python, BeautifulSoup, Scrapy, and Selenium, and I can ensure the data is accurate, deduplicated, and formatted for easy pivot-table analysis. The workbook will include separate sheets by appliance category, complete product descriptions, ratings, review text, and a clear README sheet explaining the dataset and any limitations encountered during collection. Regards, Faraz.
₹600 INR in 1 day
0.0
0.0

Hi, I’ll build a Python scraper using BeautifulSoup/Scrapy to pull home appliance data from public comparison sites and deliver it as a clean, structured .xlsx workbook. Each appliance category (refrigerators, washing machines, microwaves, etc.) will get its own sheet with product name, full description (no HTML tags), average numeric rating, and review text — one row per review, product name repeated where needed. A README sheet will document any column logic and scraping limitations encountered. Minimum 300 unique models covered, data deduplicated and spot-checked for 95%+ accuracy against live pages before delivery. Turnaround: 3–5 days depending on site structure. No paid proxies or APIs needed — will flag you immediately if any target site blocks standard scraping.
₹850 INR in 3 days
0.0
0.0

Vadodara, India
Member since Jan 2, 2025
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