E-commerce Product Data Web Scraper
Budget: ₹1,500 – ₹12,500 INR
The aim of this project is to create a Python-based web scraper that scrapes product details from individual product pages on e-commerce websites like Amazon, Flipkart, and Meesho. The user will provide a list of product page URLs, and the tool will extract detailed information for each product and embedded product and move to the next page and repeat. The data will be organized and exported into an Excel file with proper headers for each product attribute.
- The scraper will accept a list of product URLs as input. The URLs can belong to Amazon, Flipkart, or Meesho product pages and For each URL provided, the scraper will visit the product page and extract all relevant information.
- The tool will scrape the all product details ,embedded product details and contact details from each product page
- Data is exported in an organized Excel file with proper headers and dynamically set header if product informations are more (e.g., Product Name, Price, size,color, etc).
-The scraper will handle errors gracefully, including network timeouts, invalid URLs, captchas, and missing data fields and It will skip pages where scraping fails and report the error in a log file for user reference.
Ensure no duplicate data entries for the same product URL.
Ideal skills for this project would include proficiency in web scraping tools and programming languages such as Python. Experience with e-commerce data scraping would be highly beneficial.
- The scraper will accept a list of product URLs as input. The URLs can belong to Amazon, Flipkart, or Meesho product pages and For each URL provided, the scraper will visit the product page and extract all relevant information.
- The tool will scrape the all product details ,embedded product details and contact details from each product page
- Data is exported in an organized Excel file with proper headers and dynamically set header if product informations are more (e.g., Product Name, Price, size,color, etc).
-The scraper will handle errors gracefully, including network timeouts, invalid URLs, captchas, and missing data fields and It will skip pages where scraping fails and report the error in a log file for user reference.
Ensure no duplicate data entries for the same product URL.
Ideal skills for this project would include proficiency in web scraping tools and programming languages such as Python. Experience with e-commerce data scraping would be highly beneficial.