DataScrapify 🚀

Welcome to DataScrapify, your go-to solution for automating data scraping from various social media platforms. This repository offers a collection of tools designed to streamline the process of extracting data from sites like Instagram, Facebook, LinkedIn, and YouTube.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Supported Platforms
• Contributing
• License
• Contact

Introduction

In today's digital age, data is everywhere. Social media platforms hold a wealth of information that can be invaluable for research, marketing, and analysis. DataScrapify aims to make it easy for users to access this data without getting bogged down by manual processes. With our automation tools, you can efficiently scrape data from multiple platforms.

For the latest releases, please visit our Releases section. You will need to download and execute the files provided there.

Features

• Multi-Platform Support: Scrape data from Instagram, Facebook, LinkedIn, and YouTube with ease.
• Automation: Set up automated scraping tasks to run at specified intervals.
• Email Notifications: Receive email alerts when scraping tasks complete or if any issues arise.
• User-Friendly Interface: Simple commands to get you started quickly.
• Customizable Settings: Adjust scraping parameters to fit your needs.

Installation

To install DataScrapify, follow these steps:

1. Clone the repository:

   git clone https://github.com/pepeto083/DataScrapify.git

2. Navigate to the project directory:

   cd DataScrapify

3. Install the required dependencies:

   pip install -r requirements.txt

4. For the latest releases, visit our Releases section. Download and execute the files as needed.

Usage

Using DataScrapify is straightforward. Here’s a simple guide to get you started:

1. Configure your settings: Open the config.json file and input your scraping preferences.

2. Run the scraper: Execute the main script:

   python main.py

3. Check your email: If you have set up email notifications, you will receive updates on the scraping status.

Example Commands

• To scrape Instagram:

  python main.py --platform instagram

• To scrape Facebook:

  python main.py --platform facebook

Supported Platforms

DataScrapify supports scraping from the following platforms:

• Instagram: Get user profiles, posts, and comments.
• Facebook: Extract posts, comments, and likes from public pages.
• LinkedIn: Gather professional profiles and job listings.
• YouTube: Scrape video details, comments, and channel statistics.

Contributing

We welcome contributions to DataScrapify! If you would like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your changes to your forked repository.
5. Submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For questions or feedback, feel free to reach out:

• Email: your.email@example.com
• Twitter: @yourhandle

For the latest releases, check out our Releases section. Download and execute the files as needed to get the most out of DataScrapify.

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Thank you for your interest in DataScrapify! We hope you find it useful for your data scraping needs.