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https://github.com/isatyamks/beautifulsoup-webscraper
my learning journey into web scraping using the BeautifulSoup library
https://github.com/isatyamks/beautifulsoup-webscraper
beautifulsoup data-science python3 webscraping
Last synced: about 1 month ago
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my learning journey into web scraping using the BeautifulSoup library
- Host: GitHub
- URL: https://github.com/isatyamks/beautifulsoup-webscraper
- Owner: isatyamks
- Created: 2024-05-21T15:56:19.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-10-19T14:13:47.000Z (3 months ago)
- Last Synced: 2024-10-31T08:11:07.347Z (3 months ago)
- Topics: beautifulsoup, data-science, python3, webscraping
- Language: Python
- Homepage:
- Size: 6.84 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: readme.md
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README
# WebScraping with BeautifulSoup
This repository contains my learning journey into web scraping using the BeautifulSoup library. As part of this project, I scraped data from Flipkart and stored it in a CSV file.
## Table of Contents
- [Introduction](#introduction)
- [Technologies Used](#technologies-used)
- [Installation](#installation)
- [Usage](#usage)
- [Project Structure](#project-structure)
- [Contributing](#contributing)
- [License](#license)
## Introduction
Web scraping is a powerful tool for extracting data from websites. In this project, I explored web scraping using the BeautifulSoup library in Python. The primary goal was to scrape product data from Flipkart and save it in a CSV file for further analysis.
## Technologies Used
- BeautifulSoup
- Requests
- Pandas
## Installation
To run this project locally, follow these steps:
1. Clone the repository:
```sh
git clone https://github.com/isatyamks/WebScraping-BeautifulSoup.git
```
2. Navigate to the project directory:
```sh
cd WebScraping-BeautifulSoup
```
3. Install the required packages:
```sh
pip install -r requirements.txt
```
## Usage
To scrape Flipkart data and store it in a CSV file, run the following script:
```sh
python scrape_flipkart.py