Python Tool for Comparing Textbook Prices

@LiveExperts

Hello, "As the lead engineer at Live Experts, my extensive experience in data analysis and web scraping using Python make me an ideal fit for your project requiring the development of a Python-based tool. I assure you that I am more than capable of building a tool that can effectively extract and analyze relevant textbook data, taking into account various price comparisons between eBay, AddALL, BookFinder, and Amazon. Furthermore, my strong background in software architecture ensures that I will develop a stable Version 1 of the tool that you can easily run on a regular basis." "In addition to this capability, my team at Live Experts also has a profound interest and knowledge in data visualization - a skill that can significantly enhance the usability and presentation of your information. With my contributions to the project, you can expect not only raw data outputs but also organized information presented via clear BUY/SKIP recommendations for each ISBN. Additionally, we guarantee efficient extraction of ancillary data such as fees, estimated shipping costs, net profit etc., which will be seamlessly exported to CSV/Excel format as per your requirement." "What separates our team from others is our holistic approach towards projects. We understand that software isn't built once and forgotten about forever. Instead, it requires continuous improvements to remain effective and up-to-date. As parte of our services, we offer small adjust Thanks!

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you’re looking to build a Python-based tool that can pull real-time textbook prices using a list of recent ISBNs. The goal seems to be creating an efficient way to compare prices for the last three years. I’ve built similar data scraping tools and understand the key technical challenges involved. I would approach this by leveraging Python libraries for web scraping and data processing to ensure accurate price comparisons. I have a few questions to get a better understanding: Q1 – What specific websites or data sources do you want to scrape for textbook prices? Q2 – Are there any specific data points you want to include besides the price, like condition or seller ratings? Q3 – How do you envision the output format for the price comparisons? Would you prefer a simple report or a more interactive dashboard? Looking forward to hearing from you.

@mananraja

Hi I have strong expertise in Web Automation using Python and can develop you an automated script to compare "detailed" prices between eBay and other platforms, for list of ISBNs, and export data into structured Excel format. I'm available to discuss further details in chat and can start right away. Abdul H.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Python Tool for ISBN Price Comparison and Profit Calculation ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a Python-based tool to analyze textbook prices. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for price comparison tools. I will create a tool that gathers sold prices from eBay and current prices from various platforms, calculates fees and profits, and exports the data to CSV/Excel with clear recommendations. ➡️ Why Me? I can easily build your Python tool as I have 5 years of experience in Python programming, data analysis, web scraping, and automation. My expertise includes handling APIs, data manipulation, and exporting data in various formats. Additionally, I have a strong grip on relevant libraries like Pandas and Requests, which will ensure your tool is efficient and reliable. ➡️ Let's have a quick chat to discuss your project in detail, and I can show you samples of my previous work. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Python Programming ✅ Web Scraping ✅ Data Analysis ✅ API Integration ✅ CSV/Excel Export ✅ Data Manipulation ✅ Error Handling ✅ Automation ✅ Price Comparison ✅ Profit Calculation ✅ Shipping Cost Estimation ✅ ROI Calculation Waiting for your response! Best Regards, Zohaib

@softsolution2000

I understand you need a Python tool to compare textbook prices by pulling real sold prices from eBay and comparing them to current buy prices on AddALL, BookFinder, and Amazon for ISBNs within the last 3 years. The tool will calculate fees, shipping, net profit, ROI, and provide a BUY/SKIP recommendation in a CSV/Excel format. I can deliver a stable Version 1 for regular use, with future small improvements. The budget can be adjusted based on the full project scope. My priority is to work within your budget. Please review my 15-year-old profile to see my experience. Let's discuss the details and get started promptly. I am ready to show my commitment by starting the tasks without being hired. Looking forward to hearing from you.

@AITSoft

Hello! I understand you need a Python tool to compare textbook prices using recent ISBNs. I'll create a program to gather recent sold prices from eBay and match them with current buy prices on AddALL, BookFinder, Amazon, and optionally AbeBooks or ThriftBooks. The tool will calculate fees, estimated shipping, net profit, and ROI for each book, then provide a clear BUY or SKIP suggestion. All results will be exported to CSV or Excel for easy review. I'll make sure the first version runs smoothly and is easy for you to use regularly. For future small updates, we can agree on an affordable rate to keep it working well and add new features smoothly. Looking forward to helping you with this project! Which sources do you want to prioritize if price data conflicts between sites? Do you have preferred formulas or percentages for fees and shipping calculations? Would you like the tool to update prices automatically or only when you run it? Is there a maximum runtime or frequency you'd like for running the tool? Do you want the export file to include any additional data or just the price comparisons and recommendations?

@versacode

We can assist with developing a Python tool to analyze textbook pricing. We understand you need to compare eBay sold prices against AddALL, BookFinder, and Amazon buy prices, calculate profit, and export recommendations to CSV/Excel. Our approach involves creating a script to scrape data from these sources, perform calculations, and generate the desired output. Experience: We have 18+ years of experience in software development and are familiar with scrapping ebay and Amazon listings.

@ShaikhAneesa

Hi there, I’ve carefully reviewed your project and understand you need a Python-based tool that evaluates textbook arbitrage opportunities by combining sold-price data with live buy prices and calculating profit/ROI automatically. I’m confident I can build a stable, repeatable Version 1 that delivers accurate, decision-ready outputs. My approach begins with building a structured pipeline that ingests ISBNs, fetches real sold listings from eBay, and gathers current buy prices from AddALL, BookFinder, and Amazon (with optional extensions like AbeBooks/ThriftBooks). I will normalize and clean the data to ensure consistency across sources. Next, I will implement a calculation engine that factors in marketplace fees, estimated shipping, and edge cases to produce net profit and ROI per ISBN, followed by a clear BUY/SKIP recommendation based on defined thresholds. The tool will be designed for repeat use; simple execution, clean logging, and stable handling of site changes. Final output will be exported as a structured CSV/Excel file ready for analysis. Before I begin, could you confirm if you have eBay API access or should scraping-based retrieval be used? Let’s get started and build a reliable ISBN profit analyzer you can run anytime. Warm regards, Aneesa.

@Herculesz

Hi I can build a stable Python V1 that ingests recent ISBN lists, pulls real sold comps from eBay, checks current buy prices from AddALL, BookFinder, and Amazon, then calculates fees, shipping, net profit, ROI, and a clear BUY/SKIP recommendation. For reliability, I’d structure it as modular collectors, a normalization layer, a pricing/rules engine, and CSV/Excel export so it can be rerun regularly without becoming fragile. The main technical risk is inconsistent data across marketplaces like mismatched editions, sparse sold data, and anti-bot issues, so I’d handle that with ISBN-first matching, fallback logic, source validation, retry controls, and configurable profit thresholds. My preferred stack is Python with requests/playwright where needed, pandas for analysis, and openpyxl/xlsxwriter for polished exports. V1 quote: $1,200 for a solid runnable version covering eBay sold prices, AddALL, BookFinder, Amazon checks, fee/shipping logic, ROI scoring, and CSV/Excel output. Future small improvements I’d price at $80 per hour, or as fixed mini-milestones once the exact change is clear, such as AbeBooks/ThriftBooks support, better matching rules, or scheduling. And I can help you so on by keeping the code commented, modular, and easy to maintain so regular runs and later upgrades stay straightforward. Thanks, Hercules

@mohjib092

hi there, Expert here my script can do this for you using python,,, Lets chat for more clear Thank You

@mubeenm5026

For your project, you need a seasoned developer who understands the ins and outs of Python along with leveraging its capabilities to develop cutting-edge tools. With a decade’s worth of experience in Python and software architecture, I am confident in my ability to create a robust and stable Version 1 textbook price comparison tool that caters to all your specific requirements. Moreover, my team at Web Crest believes strongly in practical innovation. We've consistently demonstrated not only technical proficiency but also an understanding of how our creations can integrate seamlessly into the day-to-day functioning of a business. For instance, the proposed tool can not only compare prices but also calculate fees, estimated shipping costs, net profit, and ROI - all invaluable metrics for your operations. Additionally, one thing that sets us apart is our commitment to long-term collaborations. This means that even after delivery of Version 1, we will be available to handle future enhancements seamlessly without affecting your core operations. Partnering with Mubeen Khan and Web Crest will not just get you an exceptional Version 1 but also equips you with a reliable technical team to keep building on this excellent foundation. Let's build something impactful together for your business!

@webmasters486

As a seasoned professional with expansive skills in data analysis, visualization, and processing, I am primed to address your need for a robust Python tool. My proficiency in using Python for web scraping coupled with my deep understanding of JavaScript will provide the backbone of this project ensuring it successfully gathers accurate pricing data from eBay, AddALL, BookFinder, and Amazon. My expertise goes beyond mere tool development; I build solutions that utilize scraped data to generate valuable insights. In this case, I will develop a comprehensive system that not only computes fees, estimated shipping costs, net profit, and return on investment but also exports everything neatly into a CSV/Excel format for thorough examination. Furthermore, I cross-utilize my proficiency in Web Scraping and Data Visualization to produce easy-to-read visuals enabling you to make previously unattainable comparisons. Finally, one thing that sets me apart is my approach to projects. I don't just produce Version 1; I focus on building long-term relationships. With this in mind, incorporating future small improvements is part of my service at no extra cost. Let's discuss further how I can implement this tool for you to avow the best prices and turn textbook trade into a lucrative business!

@iosifpeterfi

I'm Iosif Peterfi, 15+ years shaping secure, reliable systems with a practical, business-first mindset. This is my speciality: turning catalog data into clear, action-ready profit signals by integrating market prices, fees, and shipping into a single, decision-ready tool. You need a Python-based tool that takes a list of ISBNs from the last 3 years, pulls real sold prices from eBay, and compares them to current buy prices on AddALL, BookFinder, and Amazon, with optional AbeBooks/ThriftBooks. It should compute fees, shipping, net profit, ROI, and export results to CSV or Excel with a clear BUY or SKIP recommendation per ISBN. What you'll get is a stable Version 1 you can run regularly, with a repeatable workflow, a clean export, simple configuration for the ISBN list, and robust error handling to keep decisions fast and reliable. The deliverable focuses on business value: faster pricing decisions, lower manual effort, and clearer profit signals, with risk controls for changing feed formats. Last quarter I helped a regional bookstore chain launch a price comparison tool. It cut manual research time by 60% and lifted net margins by about 12%. 2-3 business days. Let's chat - I can walk you through my approach in 15 minutes.

@mobimubasir

Hello, I can build a Python tool to fetch eBay sold prices, compare buy prices, and calculate profit/ROI with clear BUY/SKIP outputs in Excel/CSV. I’ll deliver a stable, reusable Version 1 quickly, with affordable support for future improvements.

@juanjosec63

Hi, I have strong experience with Python, web scraping, data processing, and pricing analysis workflows, building tools that collect marketplace data, normalize results, and generate clear profit-based decisions in CSV or Excel outputs. I can build a stable Version 1 that takes your ISBN list, pulls recent sold-price data from eBay, compares it against live buy prices from AddALL, BookFinder, Amazon, and optional sources, then calculates fees, shipping, net profit, ROI, and gives a simple BUY or SKIP recommendation for each record. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@emilesd617

Hi, I am a Python developer with 8 years of rich experience with a background in data scraping and pricing automation. I am familiar with Python, Web Scraping, Data Processing, CSV/Excel Export, Data Analysis. For this project, the most important part is collecting accurate sold and buy price data and turning it into a reliable profit calculation. This is what makes the BUY or SKIP decision useful in real use. I will focus on a stable Python tool with clean scraping logic, fee and shipping calculations, and clear export output for regular runs. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@TheSecondSource

Hey! We’re a team of 62 professionals specializing in Python automation, data scraping, and financial analytics tools with 9+ years of experience building scalable research and pricing systems. Here's how we can help: * Build a Python engine to ingest ISBN lists and normalize textbook identifiers * Scrape eBay sold listings to extract real market sale prices with filtering logic * Integrate pricing comparisons from Amazon, AddALL, BookFinder, and others * Calculate fees, shipping, ROI, and generate BUY/SKIP recommendations in Excel/CSV Could you clarify which fee structure you want applied (eBay + payment fees + shipping defaults), and whether ROI should be calculated using a fixed resale channel or multiple marketplace scenarios?

@AliGhazanfar2

Hi, Lets get connect over a chat. I have more than 9 years of experience in building custom platforms in python. I will walk through to my work samples as well. I am online right now. Thanks Ali

@codefusion53

Hi I can develop a reliable Python-based tool that analyzes textbook ISBNs by comparing real eBay sold prices with live buy prices from AddALL, BookFinder, and Amazon. The system will calculate marketplace fees, shipping estimates, and ROI, then export all results to a structured CSV or Excel file showing clear BUY/SKIP recommendations. Built with Python, Requests, BeautifulSoup (or official APIs where available), and Pandas, the tool will be optimized for accuracy, stability, and easy re‑runs. I’ll include clear documentation, clean code, and configuration options so you can adjust thresholds or data sources anytime. For Version 1, I’ll deliver a stable, repeatable workflow; future updates (like adding AbeBooks or visual dashboards) can be added modularly at a low incremental cost. Best, Justin