Competitor E-commerce Data Scraping

@josanta

Hi, I’ve reviewed your project and understand you need a robust scraper to extract full product catalogues (price, descriptions, categories, variants, images) with anti-bot handling and scheduled runs. I’ll build a clean Python solution (Scrapy/Playwright) with rotating proxies, polite throttling, and reliable data structuring. Output will include CSV/Excel, organized image downloads by SKU, and a clear README for reruns and scheduling. Experienced in large-scale scraping and handling rate limits. Ready to start. Best regards, Joseph

@ashinnd84

Hello there, we are a team of Full Stack Developers and Data Scientist. Please, send me a message to discuss the work. Thanks Ashish Kumar.

@AliGhazanfar2

Hi Sir, Get a free sample first , 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

@bpatidar2793

I understand you need a reliable scraper to extract complete product data from competitor sites with proper handling of variants, images, and anti-bot measures. I will build a Python-based solution using Scrapy or Playwright depending on site complexity, with rotating headers, proxy support, and controlled request timing to avoid blocks. The scraper will extract structured data including pricing, categories, variants, and image links, and store outputs in clean CSV or Excel format along with organized image folders. You will receive well-documented code, scheduling support, and a simple setup guide for repeat runs.

@mdsuzonmiagh

Hey, I can build this scraping system for you. I’ll create a Python-based crawler that pulls full product data from all your competitor sites — price, titles, descriptions, categories, variants, images, everything. It’ll run headless and handle dynamic pages properly. The setup will support multiple sites at once with multithreading, retry logic, and basic anti-bot handling (proxies + delays if needed). You’ll be able to run it on your local machine or a server, and also schedule weekly updates. Output will be clean: CSV/Excel/JSON (all product fields) Organized image downloads by product/SKU Optional Google Sheets sync if you want live tracking I’ll also include a simple README so you can rerun or add new sites easily. If needed, I can also add a small dashboard later to monitor runs and logs. Once you share the sample site, I can start right away and deliver a working version for one competitor first. Thanks

@mhmamun360

Hello, You need a resilient scraper that captures full product data while safely bypassing throttling and anti-bot protections across multiple competitor sites. I’ll build a Python-based solution using Scrapy + Playwright for dynamic rendering, with rotating proxies, request throttling, and basic CAPTCHA handling. The scraper will extract structured data (variants, categories, images) and export clean CSV/Excel files, along with organized image storage by SKU. I’ve developed scalable scraping systems handling complex sites with anti-bot defenses and structured data pipelines. As a bonus, I’ll include scheduling support (cron/CLI) and a clean README for easy reuse and updates. Do you prefer local execution or deployment on a VPS for automated weekly runs? https://www.freelancer.com.bd/u/mhmamun360 Best regards, Md Mamun Hossain

@ishant6531

Hi, I’ve carefully reviewed your project and I can help you extract and structure accurate data from the required websites. I have strong experience in web scraping Tools. I’ve worked on similar projects involving pagination, dynamic content, and handling anti-bot protections. For your project, I will: * Scrape all required data fields (names, emails, prices, listings, etc.) * Ensure clean, structured output (CSV/Excel/Database as needed) * Remove duplicates and validate data accuracy * Handle pagination, dynamic pages, and login if required Additionally, I can provide a reusable scraping script along with clear documentation so you can run it in the future. **Estimated delivery:** 2–4 days ** Dont pay me if me if you dont like my work

@toqeer74

Navigating anti-bot measures is crucial for effectively scraping competitor data, especially when dealing with sites that impose strict traffic controls. Implementing a solution using a Python stack with Scrapy will ensure sophisticated handling of these rate limits, utilizing rotating proxies and polite scraping intervals, thus minimizing the risk of IP bans. The robust scraper can be designed to capture all requested fields, from detailed product descriptions to variant attributes, while ensuring data integrity. I can deliver a fully functional version within 10 days, complete with a README for easy adjustments. When can we start? I can have something to show you within 24 hours.

@letswork92

Hello! I understand you're looking for a robust web-scraping solution to capture comprehensive product data from your competitors’ online stores. The challenge of bypassing anti-bot measures while ensuring the data remains well-structured is crucial for your pricing intelligence and content optimization goals. With over 12 years of experience, I specialize in using Python stacks, particularly with tools like Scrapy and BeautifulSoup. My proficiency extends to handling anti-bot countermeasures effectively through rotating proxies and implementing polite timing strategies to avoid throttling. Additionally, I am comfortable incorporating Selenium or Playwright for dynamic content scraping. I can deliver a clean, well-commented script that meets your specifications, including a CSV/Excel export and organized image downloads by SKU. A detailed README will guide you through running the scraper and scheduling updates. To ensure we meet your requirements precisely, could you share more about the specific competitor sites you're targeting? Looking forward to collaborating!

@Akash7015

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...

@aimansulaiman

Hi, I’ve built similar scraping systems for full product catalog extraction with clean, structured outputs and reliable scheduling. I can deliver a Python-based scraper (Scrapy/Playwright depending on the site) that captures all required fields—price, descriptions, categories, variants, and images—while handling anti-bot measures like proxy rotation, request throttling, and basic CAPTCHA workflows. Output will include: * Clean CSV/Excel with all product data * Organized image downloads by SKU * Simple setup to run on demand or schedule weekly The code will be well-structured, documented, and easy to extend for additional sites. Ready to review your target URLs and start with a sample crawl. Best, Aiman.

@ihorz5

i, there I understand you need a robust web-scraping solution to capture full product catalogs from multiple competitor stores, including all product details, pricing, variants, and image URLs, with the ability to schedule weekly updates while handling anti-bot protections. The goal is clean, structured data ready for analysis and competitive insights. With solid experience in Python web scraping using Scrapy, Selenium, BeautifulSoup, and Playwright, I can deliver a well-commented, maintainable scraper that respects site limits, rotates proxies, and handles basic CAPTCHAs. The final code will be delivered in a private Git repository, along with CSV/Excel exports and a structured image folder. My approach is to first map the product structures of each competitor site, then build a scraper that extracts all required fields and downloads images by SKU. Anti-bot measures and polite request timing will be implemented to ensure uninterrupted crawling. A short README will explain rerunning the scraper, adding new URLs, and setting the update schedule. To proceed, I would clarify whether you prefer CSV or Excel as the main export format and confirm any specific variant attributes you want included. Thanks, Ihor

@leonids29

✨ Hi, there ✨ I checked your project description and understand you need a robust web scraper to extract full product catalogues from competitor sites, including pricing, descriptions, categories, variant attributes, and images, with weekly scheduling and anti-bot measures in place. I've built similar scraping solutions using Python with Scrapy and Playwright for dynamic sites, including proxy rotation, polite delays, and CAPTCHA handling. I'll deliver a clean, well-commented codebase that exports to CSV with all the fields you listed, organizes images by SKU, and includes a README for rerunning and adjusting targets. The setup will be in a private Git repository as requested. Quick questions: Q1 – Roughly how many competitor sites and total products are we targeting initially? Q2 – Do you have proxy services already, or should I integrate one into the setup? Q3 – Would you like the weekly schedule run via a simple cron job or a cloud scheduler? Looking forward to hearing from you. ✨ Best Regards ✨

@WebGraphics4You

As an experienced coder and a creative problem-solver, I am deeply intrigued by your project of creating a robust and efficient web scraping solution. My expertise in using tools such as Scrapy, BeautifulSoup, Selenium, and playing with Python codes would undoubtedly be valuable for this endeavour. I not only strive to deliver clean and well-commented code but also value the need to provide a user-friendly framework for easy task scheduling and execution. Moreover, my commitment to timely delivery, budget-friendly approach and open communication would ensure that your project gets completed according to expectation distinguishing me from others competing for the job. In summary, you can count on me to create an excellent e-commerce data scraping solution that will empower your business decisions while maintaining its integrity. I await the opportunity to kick start this project for you!

@Ankurhardia34

Hello, I’m Ankur, a freelance developer with a dedicated team of professionals. I read all your requirements for website And I assure you that I will provide high-quality work at the proper time. Additionally, we also provide you 3 months of support from our side. As a Full Stack Developer, I specialize in Web and App Development, boasting a portfolio of stunning projects with top-notch UI/UX design. My expertise spans Flutter (for both Android and iOS), PHP, and WordPress, and I bring over 7 years of experience to the table. Whether it’s websites, applications, or e-commerce platforms, I’ve got you covered. But I’m not limited to just coding. My skill set extends to graphic design and logo creation, offering you a one-stop solution for all your project needs. With a track record of over 500 completed projects, I am committed to delivering nothing short of excellence. My ultimate goal is your complete satisfaction. Thank you for considering me for your project. I’m ready to transform your vision into a reality that stands out in today’s competitive landscape. Best Regards, Ankur Hardiya

@Cross28

I have hands-on experience in web scraping using Python, including tools like Selenium and BeautifulSoup. I can efficiently extract, clean, and structure data from complex websites while handling dynamic content, pagination, and anti-bot measures. I focus on delivering accurate, scalable, and well-structured data tailored to your requirements.

@ezrat28

Hi Mate , Good afternoon! I am professional mobile computer programmer with skills including Data Extraction, Data Mining, Web Scraping, Selenium, Scrapy, PHP and BeautifulSoup. Please send a message to discuss more about this project. Thanks and Regards

@AnuragNagare

Hi, Web scraping for pricing intelligence is something I've built before — Python stack, clean structured output, anti-bot handling included. Your requirements are well-defined and I can deliver exactly what you've described. Here's my approach: 1. Scraper Stack — Playwright for JS-heavy sites, Scrapy + BeautifulSoup for static or semi-static ones. I'll assess each target URL and pick the right tool per site. 2. Anti-bot Handling — Rotating proxies, randomised request timing, user-agent rotation, and basic CAPTCHA bypass (2captcha / anticaptcha integration where needed). 3. Data Output — CSV/Excel with all your fields: URL, title, description, category path, price, variant attributes, image URLs. Images downloaded and organised by SKU into a compressed folder. 4. Scheduling — Script will support cron or a simple scheduler flag for weekly runs, no manual intervention needed. 5. Handover — Clean, commented code in a private Git repo with a README covering how to add new target URLs, adjust fields, and set the update cadence. I've handled structured data extraction and pipeline outputs extensively in my ML and document intelligence work, so keeping scraped data clean and well-organised is second nature. Share the URLs privately and I can give you a realistic timeline right away. Anurag Nagare Senior AI/ML Engineer

@arshkumar213

I’ll build a robust Python scraper (Scrapy + Playwright) to extract full product data incl. variants, images, and categories. Anti-bot handled via rotating proxies, rate limiting, and fallback strategies. Output in clean CSV + structured image folders. Fully automated, schedulable, and well-documented with easy config for new sites.