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Urgent Excel Data Scraping & Catalogue Creation Expert (6 Websites | Delivery within 8–10hrs) Project Description: We are urgently seeking a skilled Excel Data Specialist / Web Scraping Expert to compile and structure product data from six different supplier websites into a single, consolidated Excel product catalogue. The catalogue will be used to showcase a curated product offering to our clients and must be professionally structured, accurate, and visually clear. Scope of Work: Scrape product information from 6 supplier websites into 6 sheets categorized as below. Categorize products under the following sections: Connected Living & Tech Essentials (mobile phones, laptops, luxury gadgets, televisions, premium speakers, soundbars, home appliances, etc.) Modern Living – Home Décor & Furnishings Urban Wear – Fashion & Footwear Travel Essentials – Luggage & Luxury Travel Accessories Gift Cards Client Experiences (live sports, concerts, hot air ballooning, paragliding, exclusive dining, unique vacations, etc.) We require functionality to input a mark-up in one place that automatically adds this markup to all products across all individual products across all sheets Data Fields Required in Excel: Supplier SKU Supplier Name / Website Generated Unique Internal SKU (for tracking purposes – not visible to client) Product Name Product Description Colours Available Product Image (embedded in Excel, no reference to original source) Price (South African Rands) Requirements: Strong expertise in Microsoft Excel (advanced cataloguing, formatting, and data management). Proven experience in web scraping, data mining, and product catalogue creation. Ability to embed images into Excel seamlessly. Skilled in data cleaning to ensure accuracy and consistency. Must be able to deliver first progress results within 4–6 hours, with final delivery within 8–10 hours. Deliverables: One fully structured Excel catalogue containing all required fields. Data neatly categorized, formatted, and client-ready. Ideal Candidate Titles: Excel Data Specialist Data Scraping & Catalogue Expert Web Research & Data Mining Specialist Urgency: Immediate start required. This project is extremely time-sensitive — applicants must confirm availability to begin right away and commit to the delivery timeline.
Project ID: 39725528
17 proposals
Remote project
Active 9 mos ago
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17 freelancers are bidding on average $190 USD for this job

Hi,. I have been working with R, Rstudio, Python, weka, stata and rapidminer for a long time and I have a solid programming background . I'm available 24/7 to receive and deliver your order. What you can get from my Gig Data cleaning Descriptive analysis Predictive modeling Linear Regression, Logistic regression, SVM and Random Forest Principal component analysis Time Series modeling (ARIMA - SARIMA) Regression, classification problems Sentiment analysis (text mining, bag of words...) Plots and charts (Boxplot, Scatter chart, histograms, multi-variables plots...) Fourier Analysis Factor Analysis Data entry / import from .txt .csv .xlsx Statistical analysis
$220 USD in 7 days
6.8
6.8

Hello! We specialize in rapid, accurate Excel data compilation and web scraping, and our team of 62 professionals has over 9 years of experience handling urgent, high-volume projects. Here's how we can help: • Scrape product data from all 6 supplier websites into a single, fully structured Excel catalogue • Categorize products into the specified sections and ensure clean, consistent formatting • Embed product images directly in Excel and generate unique internal SKUs for tracking • Implement a master markup function that updates prices across all sheets automatically • Deliver first progress results within 4–6 hours and the final client-ready catalogue within 8–10 hours Could you share the URLs of the 6 supplier websites and confirm if there are any specific formatting preferences for the Excel file (fonts, colors, or templates)? We’re ready to start immediately to meet your urgent timeline.
$140 USD in 3 days
5.2
5.2

Fourways Easy, South Africa
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Member since Nov 23, 2024
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