Budget: 250 PLN Deadline: 5 days
Good day, I write parsers in Python, have 5 years of experience with it, and 4 years with parsing. I propose to collect data from several competitor websites into a database, then we can analyze the number of views/reviews on products to determine which positions are trending. After that, I suggest conducting another parsing in 1-2 days for comparison of statistics and identification of current popular products. I would be happy to collaborate!
Budget: 500 PLN Deadline: 3 days
Hello. I have experience in web scraping and automation! I am ready to complete the task quickly and efficiently. Message me privately.
Budget: 200 PLN Deadline: 7 days
Hello! I have experience in e-commerce parsing and market analysis. I will prepare for you a database of the most popular podiatric products in Poland for a quick start of sales.
What is included in the cost:
Data collection: Parsing Allegro (the top marketplace in Poland), Ceneo, and 3-5 specialized competitor stores.
Demand analysis: Filtering products by sales volume, reviews, and ratings.
Structuring: Compiling data in Excel/Google Sheets (Name, Category, Price, Link, Popularity Rating).
Prioritization: Highlighting the TOP-50 items (Must-have for launch).
I am ready to discuss the details and start today.
Budget: 20000 PLN Deadline: 1 day
Good day,
I am ready to take on your project. I have experience in automating data collection from websites using modern technologies. I will prepare a complete list of the best-selling podiatric products in Poland, based on the collected data from competitor websites and marketplaces. The result will be a structured and prioritized catalog, ready for use in your e-commerce project.
My rate is $16 per hour.
Arthur
Budget: 600 PLN Deadline: 14 days
Hello! I have reviewed your assignment and believe that I can successfully complete it. I would be happy to collaborate, please write to me personally for further details.
Budget: 200 PLN Deadline: 7 days
I can perform complete web scraping of podiatry products in Poland and create a ready-made catalog for launching e-commerce.
You will receive:
✔ a table with products (prices, links, specifications, sellers, photos)
✔ analysis of competitors and popularity of items
✔ a list of products that are most advantageous to launch on the market first
✔ an import file + a brief market report
✔ if needed — the parser code and future data updates
To form a final proposal — please let me know which specific platforms and the volume of data you are interested in.
Budget: 400 PLN Deadline: 4 days
Good day, Alexandr!
In general, the task is clear, but for an accurate response regarding the deadlines and price, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages – we will discuss the details and your wishes.
Budget: 10000 PLN Deadline: 7 days
Hello,
I’m very interested in helping you build a data-driven, prioritized product catalog of top-selling podiatric products for the Polish market. I have experience designing automated data collection pipelines, extracting and normalizing product and pricing data from retailers and marketplaces, and turning that data into actionable catalogs and go-to-market recommendations for e-commerce teams.
For this project I will deliver a structured, prioritized catalog that you can use directly to launch and scale: a cleaned dataset of products with SKUs, titles, categories, best-available images, prices, price history, estimated sales indicators (visibility, reviews, ratings), marketplace/channel mapping, supplier/source links, and recommended launch priority (by margin potential, demand signal, and competition). I will collect data from competitors’ websites and major marketplaces, normalize names and categories, deduplicate items, and enrich entries with P&L-oriented metadata (estimated margin ranges, suggested price bands, and suggested stock levels). I will also produce a concise executive report summarizing methodology, key findings, market gaps, and immediate SKU recommendations for quick wins.
I take compliance seriously: the data collection will follow legal and ethical best practices (respecting robots.txt where required, rate limiting, and avoiding any protected or personal data), and I’ll flag any sources where direct scraping may be restricted and propose alternatives (APIs, marketplace exports, or manual data agreements). I’ll provide transparent documentation of the scraping sources and the transformation rules so your team can reproduce or extend the process later.
Best regard
