Website Scraper

A web scraping project built using Scrapy, a fast, high-level web crawling and web scraping framework for Python. This project provides a customizable and scalable setup for scraping data from websites.

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Table of Contents

• Features
• Project Structure
• Installation
• Usage
• Customization
• Contributing
• License

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Features

• Scalable and modular: Easily add spiders to scrape different websites.
• Efficient scraping: Leverages Scrapy's built-in performance optimization.
• Custom pipelines: Process and save scraped data to different formats or databases.
• Middleware integration: Add request headers, handle proxies, or manage retries.
• Configuration flexibility: Customize settings for each spider.

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Project Structure

Below is the directory structure of the project:

website_scraper/
├── LICENSE
├── README.md
├── requirements.txt
├── scrapy.cfg
└── website_scraper/
    ├── __init__.py
    ├── __pycache__/
    │   ├── __init__.cpython-38.pyc
    │   ├── middlewares.cpython-38.pyc
    │   ├── pipelines.cpython-38.pyc
    │   └── settings.cpython-38.pyc
    ├── items.py
    ├── middlewares.py
    ├── pipelines.py
    ├── settings.py
    └── spiders/
        ├── __init__.py
        ├── __pycache__/
        │   ├── __init__.cpython-38.pyc
        │   └── website_scraper_spider.cpython-38.pyc
        └── website_scraper_spider.py

5 directories, 17 files

Key Files:

• items.py: Define the data models for scraped items.
• pipelines.py: Process and save scraped data (e.g., save to a database, JSON, or CSV).
• middlewares.py: Custom middleware for handling requests, responses, or errors.
• settings.py: Configure Scrapy settings like user agents, delays, or pipelines.
• website_scraper_spider.py: Example spider for scraping data from a specific website.

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Installation

Prerequisites:

• Python 3.8 or higher
• Pip (Python package manager)

Steps:

1. Clone this repository:

git clone https://github.com/SciFrozen-Git/website-scraper.git
cd website-scraper

2. Create a virtual environment:

python3 -m venv <venv>

• Activate Virtual Environment (On Linux/Mac)

source <venv>/bin/activate

• Activate Virtual Environment (On Windows)

<venv>\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Verify the installation:

scrapy version

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Usage

1. Run a spider:

scrapy crawl website_scraper

2. Output data to a file (e.g., JSON):

scrapy crawl website_scraper_spider -o output.json

Example:

Open the website_scraper/spiders/website_scraper_spider.py file and customize the start_urls and parse() method to scrape the required data.

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Customization

Adding a New Spider:

1. Create a new file in the spiders/ directory:

touch website_scraper/spiders/new_spider.py

2. Define a new spider class:

python
  import scrapy

  class NewSpider(scrapy.Spider):
    name = 'new_spider'
    start_urls = ['https://example.com']

    def parse(self, response):
      # Add scraping logic here
      pass

3. Run the new spider:

  scrapy crawl new_spider

Configuring Settings:

Edit settings.py to customize:

• User-Agent: Set a custom User-Agent for your requests.
• Download Delay: Add delays to avoid overloading websites.
• Pipelines: Enable specific pipelines to process scraped data.

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Contributing

Contributions are welcome! To contribute:

1. Fork the repository to your own GitHub account.

2. Clone the forked repository to your local machine:

git clone https://github.com/SciFrozen-Git/website-scraper.git

3. Create a new branch for your feature/bugfix (make sure to branch off from the main branch):

git checkout -b <feature-name>

4. Make your changes and stage them for commit:

git add .

5. Commit your changes with a clear message:

git commit -m "Add <feature-name>"

7. Push your changes to your branch:

git push origin <feature-name>

7. Open a pull request on GitHub and provide a description of your changes.

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License

This project is licensed under the MIT License.

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Support the Project

If you like my work and want to show your support, you can buy me a coffee or make a donation! ☕

Send your donations to the following wallet address:

Bitcoin Address:

1JSHP87RKNg2okh1Bx7PrfdghHdQBrsBj1

Thanks for your support! 🙏