Data Extraction from Amazon Laptop Listings
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted2 hours ago
**Amazon Laptop Web Scraping & Data Extraction**
Developed a Python-based web scraping project to collect laptop product information from Amazon search results and convert unstructured HTML data into a structured dataset.
**Key work performed:**
• Automated Amazon search-page navigation using Selenium WebDriver
• Scraped laptop listings across multiple search-result pages
• Collected and saved **438 product HTML containers** for further processing
• Parsed HTML content using BeautifulSoup
• Extracted product information including **model name, price, rating, and available offers**
• Implemented handling for missing values using `"N/A"`
• Combined scraped records into a Pandas DataFrame
• Exported the final structured dataset to CSV for further analysis
• Organized the scraping workflow into separate data collection and data-processing stages
**Technologies:** Python, Selenium, BeautifulSoup, Pandas, HTML, CSV
This project demonstrates practical experience in automated web data collection, HTML parsing, data structuring, and preparing scraped information for downstream data analysis.
Developed a Python-based web scraping project to collect laptop product information from Amazon search results and convert unstructured HTML data into a structured dataset.
**Key work performed:**
• Automated Amazon search-page navigation using Selenium WebDriver
• Scraped laptop listings across multiple search-result pages
• Collected and saved **438 product HTML containers** for further processing
• Parsed HTML content using BeautifulSoup
• Extracted product information including **model name, price, rating, and available offers**
• Implemented handling for missing values using `"N/A"`
• Combined scraped records into a Pandas DataFrame
• Exported the final structured dataset to CSV for further analysis
• Organized the scraping workflow into separate data collection and data-processing stages
**Technologies:** Python, Selenium, BeautifulSoup, Pandas, HTML, CSV
This project demonstrates practical experience in automated web data collection, HTML parsing, data structuring, and preparing scraped information for downstream data analysis.
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