E-Commerce Product Data Scraper

@Microlent

Hello, Could you share the URLs of your e-commerce sites so I can understand their structure better? It sounds like you need a reliable scraping solution to extract product information effortlessly. I can create a scalable Python script using BeautifulSoup or Scrapy that will pull product titles, prices, descriptions, images, and SKUs. The script will handle anti-bot measures and run unattended, providing you with a clean dataset. Along with the script, I’ll deliver an up-to-date CSV or JSON file for each site, plus a simple read-me guide for future use. I have extensive experience with web scraping and data extraction, and I’m here to ensure your needs are met smoothly. Let me know if you’d like to proceed! Best Regards, Jenifer

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@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

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for E-Commerce Product Data Scraper. We are experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@nassimbaggar

Hey, As a data science engineer and a Python developer with more than 5 years of experience, this task seems straightforward to me and I can complete it within an hour. Please reach out to discuss further. Sincerely, BAGGAR Nassim

@Bahaa398

Hi there, I’ve built dozens of these types of scrapers, and the key isn't just getting the data once—it’s making sure the script is resilient enough to handle layout shifts and anti-bot triggers without crashing. I typically use Python with Playwright or Scrapy because they handle asynchronous requests much better than basic libraries, which is vital for e-commerce sites with large catalogs. My approach goes beyond just "scraping" the visible HTML; I usually dig into the background JSON metadata (LD+JSON) to ensure SKUs and prices are captured with 100% accuracy, even if the frontend uses complex formatting. Regarding the anti-bot measures you mentioned, I'll implement randomized headers and user-agent rotation so the script can run unattended on your machine or a cloud instance without getting blocked. I focus on writing clean, modular code, so if you need to add a third site later, the framework will already be there for you to adapt. I can provide the scripts, the initial clean CSV/JSON exports, and a straightforward guide so you can run this yourself whenever you need an update. I'm ready to start as soon as you share the URLs so I can check the site structures. Looking forward to hearing from you. Best regards, Bahaa Mohamed

@nareshk44

With a keen eye for detail and proficiency in data scraping, I am the ideal candidate for your e-commerce product data scraper project. Over the years, I have honed my skills in Python (including BeautifulSoup, Scrapy, and Selenium), which makes me adept at navigating through websites seamlessly and extracting the desired information efficiently. As data accuracy is paramount for any analysis or decision making, you can rely on me to ensure meticulousness in every aspect of the scraping process. In addition to my technical skills, I bring with me a substantial experience in creating clean, well-structured datasets from raw online sources. This will be invaluable in transforming the diverse product information into a consistent, readable format that aligns with your requirements. Not just ticking off the boxes of your project description, but going beyond that is my approach to work. Hence, alongside delivering a robust scraping script that handles basic anti-bot measures effectively, I will also provide appropriate guidance and support that empowers you to rerun or adapt the scraper independently. Remember, with me on board, your project gains not only an efficient performer but also a long-term reliable resource for all your data needs. Let's embark on this journey together!

@Hemantt841

I noticed your need for an E-Commerce Product Data Scraper to monitor and capture product information from two e-commerce sites. With over 7 years of experience in software development, I am confident in my ability to meet your requirements. Here's how I would approach this project: - Utilize Python with Selenium for web scraping - Develop a script to extract product details like title, price, description, images, SKU, etc. - Ensure the script runs unattended and can handle anti-bot measures - Provide you with a clean, structured dataset in CSV or JSON format - Include a simple read-me guide for easy reusability In a similar project, I developed a web scraper for an e-commerce client, extracting product data from multiple sites and delivering a comprehensive dataset for analysis. The outcome was a significant time-saving for the client in manual data collection. As I delve into this project, could you clarify if there are any specific data points or formats you'd like to prioritize in the dataset? Feel free to review my portfolio for relevant samples of my previous work. I look forward to the opportunity to collaborate on this project and deliver a solution tailored to your needs.

@mscmateussantos

Hello! I am an electronics engineer and software developer, with experience in data scraping, specially with python. My code runs multiple threads, which allows for multiple instances of it to scrape the data, accelerating the process. Hope that i can help you!

@imahad0

Being a seasoned Full Stack Developer with extensive experience in Python, I am confident in my ability to deliver top-notch solutions for your E-Commerce Product Data Scraper project. I bring to the table comprehensive understanding and utilization of renowned scraping libraries such as BeautifulSoup, Scrapy, and Selenium. This proficiency ensures that I will be able to scrape all target information including titles, prices, descriptions, images, SKUs or item codes – converting these into an easily reusable and well-structured dataset as you desire. Furthermore, given your requirement for an unattended and robust scraper capable of handling anti-bot measures effectively, my skill stack using JavaScript and Python allows me to construct flexible architectures that tackle these measures effortlessly. My familiarity with tools like Zapier and n8n complement this further by letting me automate tasks systematically so that you can receive the desired output without any disruption. In essence, choosing me for this project means selecting a dedicated professional who takes pride in delivering clean solutions on time. I offer more than just a scraper—I provide holistic web development knowledge combined with automation expertise that will optimize your workflow through every step of the project and contribute towards your long-term success.

@abbas021

Hi, I always focus on understanding the full scope of a project before getting started, ensuring that every detail aligns with your goals and expectations. We are an expert team which have many years of experience on JavaScript, Python, Web Scraping, Software Architecture, Scrapy, Data Scraping, BeautifulSoup, Selenium Please come over chat and discuss your requirement in a detailed way. Regards

@rajahunainweb

Hello, I can build a reliable, unattended scraping solution that captures complete product data from both e-commerce sites—cleanly structured and ready for reuse. My Approach • Analyze site structure and pagination logic • Identify anti-bot measures (rate limits, dynamic rendering, lazy loading) • Build a robust scraper using Python (Scrapy + Selenium if needed) • Implement rotating headers, delays, and retry logic for stability • Extract: title, price, description, images, SKU/item code, categories, variants—everything publicly visible • Normalize and validate data before export Deliverables ✔ Fully documented scraping script ready to run locally or on a VPS ✔ Clean CSV or JSON export per site (properly structured and labeled) ✔ README with setup instructions, dependencies, and rerun steps ✔ Modular code so you can adapt it to additional sites later If the sites use heavy JavaScript rendering, I’ll switch to a headless browser strategy to ensure no data is missed. Share a sample product URL and I’ll outline the exact scraping strategy before starting.

@pradeepyadavvw

Hi, I can help you build a reliable, unattended scraping solution to capture complete product data from both e-commerce sites. I’ll extract everything publicly available on each product page — title, price, description, images, SKU/item code, variants, and any additional visible fields — and structure it into a clean, reusable dataset (CSV or JSON). Approach: Python-based stack (Scrapy or BeautifulSoup + Selenium if dynamic rendering is needed) Handles pagination, category traversal, and structured data detection Basic anti-bot handling (rate limiting, headers rotation, retry logic) Clean data normalization and deduplication Designed to run locally or on a small cloud VM unattended Deliverables: • Fully documented scraping script(s) • One up-to-date CSV/JSON export per site • Simple README with setup, run instructions, and customization guidance I focus on clean architecture so you can easily adapt the scraper if layouts change. If you can share sample product URLs or category pages, I’ll review structure and confirm exact extraction strategy before starting. Looking forward to working on this.

@Hamzak666

Hi I have skills in scraping, data processing, revelent data phrasing and extraction and can use any of the technology you listed but if it's dynamic and J's based loading I would use selenium and let me know about if it's J's based or static pages also is this one time scrap ir recurring and then it will need data reduplication and deploying. I can start just right after you drop a msg and are interested. Thanks

@DheerajXDev

Hello, I’m very interested in your e-commerce product data scraping project. I have solid experience building reliable and structured web scrapers using Python (BeautifulSoup, Scrapy, and Selenium) and can confidently extract complete product information from both of your websites. I will develop a clean, well-structured scraping script that captures all publicly available product data including title, price, description, images, SKU/item code, and any additional visible attributes. The output will be delivered in CSV or JSON format per site, organized and ready for reuse. If the websites rely on dynamic content or JavaScript rendering, I’ll use Selenium to ensure accurate extraction. For static sites, I’ll implement a Scrapy-based solution for better performance and scalability. I will also handle basic anti-bot protections such as request headers, delays, and structured crawling to ensure stable execution. You will receive: Fully functional scraper ready to run locally or on a small cloud instance Clean dataset export Clear README documentation for setup and reuse I focus on writing maintainable, efficient code so you can easily adapt or extend the scraper in the future. I’m ready to start immediately once URLs are shared. Best regards.

@Micha1207

Hi, I have experience scraping product data from e-commerce sites and delivering clean, structured CSV/JSON datasets. I can build a reliable script that runs unattended and handles pagination and typical site protections. If you can share one sample URL, I can quickly confirm the approach and estimated timeline. Best regards

@MaithriW

Hello, I’ve reviewed your e-commerce product data scraping requirement, and I have extensive experience building automated scraping scripts for sites like the ones you’ve described. I specialize in using Python libraries such as BeautifulSoup, Scrapy, and Selenium to capture product data such as title, price, description, images, SKU, and more. My approach ensures clean and structured datasets in CSV or JSON format, with robust handling of basic anti-bot measures. For this project, I will create a scraping script that runs unattended, efficiently handles any anti-bot protections, and outputs data into a reusable format. The workflow will be fully automated, and I’ll provide a simple readme so you can easily rerun or modify the scraper as needed. Two quick questions: Are there any specific data points you want included, aside from the basics like title and price? Do you prefer the data to be exported in CSV or JSON format, or both? Let’s discuss this project via chatting. I look forward to getting started!

@nigsystech

Hi, I can build a robust scraping solution for your e-commerce sites using Python (Scrapy/Selenium). I have extensive experience bypassing anti-bot measures and extracting complex product data like SKUs, images, and pricing into clean CSV/JSON formats. I will deliver script ready for your cloud instance, the initial data exports, and a simple README for future runs.

@a5768549

I run production scrapers for multi-store catalogs, so capturing both site inventories with full metadata (titles, SKUs, price, description, image set) + clean CSV delivery in <48h is familiar territory. Plan: map the category trees, build two dedicated spiders in Python (Playwright/Scrapy hybrid for JS-heavy pages), normalize every field to a single schema, and add checksum + delta tracking so re-runs only fetch changes. I’ll share interim samples a few hours in so you can confirm formatting before I fan out across all 3,435 pages. Timeline: 3h to profile structure + auth/rate limits, remainder of day for scraper build and QA, second day reserved for reruns/cleanup + delivery. Questions: 1) Are both stores public or does either need login/cookies/headers? 2) Do you want images as URLs only or downloaded to a folder/zip? 3) Preferred column order / delimiter (CSV vs XLSX) and timezone/currency normalization?