Created an scraper using selenium and python to collect the data from multiple pages on amazon website

Gather essential product data from Amazon with ease using this Python web scraper and Selenium. Extract product descriptions, prices, ratings, and more for insightful market research and analysis.ct data from Amazon with ease using this Python web scraper. Extract product descriptions, prices, ratings, and more for insightful market resear

This Amazon web scraper is a Python-based tool that automates the process of collecting product information from Amazon search results. The scraper utilizes Selenium for browsing and interacting with Amazon pages, and BeautifulSoup for parsing HTML content.

Product Price Scraper is a web application that fetches and displays prices of products from both Flipkart and Amazon websites. Built using Python, Flask, BeautifulSoup, and Selenium.

Automated Amazon book metadata scraper built with Python and Selenium. Extracts titles from product links, logs activity, and stores results for further analysis

A web scraper application that is built in Python using Selenium, BeautifulSoup4, and Pandas that captures item search results data from www.amazon.ca

ScrapeSmart: Amazon Edition is an automated Amazon scraper built with Python and Selenium WebDriver. It extracts real-time product data—names, prices, discounts, and purchases—and saves it in CSV format for analytics or AI/ML use, automating large-scale e-commerce data collection.

Automated tool written in python using the selenium libraries with the objective of scraping data from the Amazon website.

Web Scraper for Amazon.com (Python + Selenium)

Amazon review scraper with automatic captcha solving using python and selenium

A fun amazon-scraper written in Python using the Selenium Automation Suite.

Python web scraper using Selenium to extract information from Amazon's Best Sellers section.

A Python web scraper using Selenium to extract information from Amazon's Best Sellers section.

Data pipeline for amazon shop, ETL, scraper, docker, python. Airflow, MongoDB, Selenium Grid, Streamlit Dashboard.

"Python-based scraper for extracting and cleaning Amazon product data using Pandas, Selenium and BeautifulSoup."

This is a project, a scraper i built using python, selenium and other libraries to extract data from Amazon.com

Amazon Product Scraper is an automation tool built using Python, Selenium, and Pandas to extract product details from Amazon based on ASINs. The scraper supports multi-threading, CAPTCHA detection, and error handling for seamless execution.

A simple python amazon web scraper that uses bs4 and selenium web drivers to retrieve the first 20 pages of listings of a desired product

A simple Amazon scraper built using Python and Selenium to extract product reviews and details from Amazon.com and Amazon.in. The scraper automates the process of logging in, searching for a product, and collecting key review details such as ratings, titles, comments, verification status, and review dates.

A Python-based Amazon web scraper for educational use. Extracts product data like title, price, rating, and reviews using BeautifulSoup or Selenium. Supports headless browsing and export to CSV/JSON. Not for commercial use. Use Amazon’s API for compliant access.

The Amazon Product Price Scraper is a Python script designed to extract the price and name of a specific product listed on Amazon. Leveraging the Selenium library, the script automates the process of navigating to the product page, capturing essential details, and displaying them to the user.

A Python-based web scraper that uses Selenium to search for products on AliExpress and Amazon. It extracts product titles and prices from search results and saves them in Excel files. Users can input a product name, and the scraper automatically collects and stores data for easy analysis.

A Python scraper for Amazon that extracts product titles, prices, reviews, and images for given queries. Uses `selenium` with `undetected-chromedriver` to bypass detection, supports pagination, and saves data in JSON files. Designed for modularity, scalability, and flexibility.

A Python web scraper using Selenium & BeautifulSoup to extract laptop data (title, price, link) from Amazon India. It navigates through pages automatically and saves the results in an Excel file with clickable links—ideal for price tracking and product research.

Python web scraper for AWS consulting service partners. Extracts company names, profile links, and websites from the Amazon Partner Network using Selenium and BeautifulSoup. Navigates multiple pages, handles random delays and scrolling, and exports data to Excel for easy analysis.

A simple Python-based Amazon web scraper that retrieves product details (name, reviews, ratings, price, and image) from a given product URL. Utilizes BeautifulSoup4, requests, and selenium libraries for data extraction. Easy to use and customizable for product information scraping

A Python web scraper that extracts product data (titles, prices, ratings) from Amazon, eBay, AliExpress, and Walmart using Selenium and BeautifulSoup. It's ideal for price comparison, trend analysis, and market research, helping users quickly gather and visualize e-commerce data for informed purchasing decisions.

This Python code will create a dataset of movie and show data into a csv file and word cloud where you can compare many titles on Amazon Prime Video in an instant. This project was created for feature content on theCodex website. View the video tutorial, along with many other tutorials and courses, at: https://blog.thecodex.me/how-to-build-a-amazon-prime-video-selenium-scraper/.

This is a Python web scraper that extracts data from Amazon.in based on a user-defined search term, including product name, description, URL, price, rating, reviews, and manufacturer information. It uses requests to get HTML, BeautifulSoup to parse it, and msedge.selenium_tools to navigate the web pages and save the data to a CSV file.

this Scraper uses python and selenium and extracts data(product name,price etc) from amazon and provides output in json format.