Project Information

This project provides a user interface to interact with an automated price tracking web scraper. Currently the tracker scrapes amazon.ca, but could be configured to scrape multiple sources.

Libraries/Frameworks/Modules

This project uses:

• React
• Flask
• Playwright
• Bright Data (Web Scraping Browser)

Using the Scraper

Install all dependencies, create the auth.json file, start the flask backend, run the react frontend and interact with the tool.

auth.json

Fill in your Bright Data Scraping Browser credentials in a backend/scraper/auth.json file (see auth_example.json).

Python Flask Backend

• cd backend
• pip install -r requirements.txt
• playwright install
• python app.py or python3 app.py

Running the React Frontend

• cd frontend
• npm i
• npm run start

Setting Up Automation

To automate the collection of prices from this software simply run the scheduler/main.py file at your desired increment while the python flask backend is running.

Windows

I have created a simple .bat script called run.bat that you can schedule to execute using the Windows Task Scheduler that will automatically run the backend api and send the appropriate request to it.