This project is an Instagram Scraper application built with a Python Flask backend and Vue.js 3 frontend. The application allows users to scrape Instagram data such as user profiles, posts, and stories. It stores the scraped data in a MySQL database and provides an API to interact with the data.
- Scrape Instagram users, posts, and stories.
- Store scraped data in a MySQL database.
- Retrieve scraped data through APIs (users, posts, stories).
- Support for bulk data scraping.
- Count API for users, posts, and stories.
- Vue.js frontend to display scraped data.
- Backend implemented with Python Flask and Instagrapi.
|-- backend
|-- migrations/ # SQLAlchemy migration
|-- models/ # SQLAlchemy models
|-- routes/ # API route handlers
|-- src/ # Scraping handler
|-- static/ # Media Folder
|-- util/ # Utility functions
|-- app.py # Main Flask application
|-- config.py # Configuration for Flask and MySQL
|-- scraping.py # Instagram scraping logic using Instagrapi
|-- requirements.txt # Python dependencies
|-- frontend
|-- src
|-- App.vue # Main Vue.js App
|-- main.js # Main js for Vue.js App
|-- router.js # Router for Vue.js App
|-- assets/ # Asset for website
|-- components/ # Vue.js components
|-- pages/ # Frontend views for displaying data
|-- public # Static files
|-- package.json # JavaScript dependencies- Python 3.8+
- Flask
- MySQL database
- Instagrapi
- SQLAlchemy
- Node.js 14+
- Vue.js 3
Please take a look at backend folder
Please take a look at frontend folder
Please take a look at backend folder
Please take a look at backend folder
This project is licensed under the MIT License. See the LICENSE file for more details.
This structure gives users a comprehensive guide to your program, including how to set up the environment and understand the API functionality.