https://github.com/gayanukabulegoda/web-scraping-starter-kit
Repository designed to help freshers easily grasp the basics of web scripting, offering simple guides and examples to build a strong foundation.
https://github.com/gayanukabulegoda/web-scraping-starter-kit
python python-web-scraper python3 scrap-data scrape scraping scraping-data scraping-images scraping-python scraping-web simple-scraping web-scraper web-scraping web-scraping-project web-scraping-python web-scraping-tutorials web-scrapper-python web-scrapping
Last synced: about 1 month ago
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Repository designed to help freshers easily grasp the basics of web scripting, offering simple guides and examples to build a strong foundation.
- Host: GitHub
- URL: https://github.com/gayanukabulegoda/web-scraping-starter-kit
- Owner: gayanukabulegoda
- License: mit
- Created: 2024-09-12T18:07:17.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-13T23:33:33.000Z (about 1 year ago)
- Last Synced: 2024-11-17T10:10:58.917Z (12 months ago)
- Topics: python, python-web-scraper, python3, scrap-data, scrape, scraping, scraping-data, scraping-images, scraping-python, scraping-web, simple-scraping, web-scraper, web-scraping, web-scraping-project, web-scraping-python, web-scraping-tutorials, web-scrapper-python, web-scrapping
- Language: Python
- Homepage:
- Size: 7.81 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Web-Scraping-Starter-Kit
A repository designed to help freshers grasp the basics of web scraping. This kit provides simple guides and examples to build a strong foundation in web scraping.
## Repository Contents
This repository includes four essential Python scripts for web scraping:
1. **`Web.py`**
This script introduces the basics of web scraping. It captures and prints data from a website to the terminal.
2. **`WebDataToExcel.py`**
This script extracts data from a website and saves it to an Excel sheet, with two columns: Heading and Content.
3. **`WebImgToFolder.py`**
This script retrieves image source paths via web scraping and downloads the images, saving them to a specified folder.
4. **`PaginatedDataSetToExcel.py`**
This script scrapes data from a paginated site and saves it to an Excel sheet with seven separate columns, organized page by page.
## How to Use
1. **Clone the Repository**
```bash
git clone https://github.com/gayanukabulegoda/Web-Scraping-Starter-Kit.git
2. **Navigate to the Project Directory**
```bash
cd Web-Scraping-Starter-Kit
3. **Run the Scripts**
- **For `Web.py`:**
```bash
python Web.py
- **For `WebDataToExcel.py`:**
```bash
python WebDataToExcel.py
- **For `WebImgToFolder.py`:**
```bash
python WebImgToFolder.py
- **For `PaginatedDataSetToExcel.py`:**
```bash
python PaginatedDataSetToExcel.py
## Dependencies
Ensure you have the required Python libraries installed. You can install them using pip:
```bash
pip install requests beautifulsoup4 pandas
```
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Contact
For any questions or inquiries, please contact me via [LinkedIn](https://www.linkedin.com/in/gayanuka-bulegoda-2b993127a).
##
© 2024 Gayanuka Bulegoda