• About
• Getting Started
• Requirements
• Installation
• Usage
• Docker
• Deployment
• Contributing

This is a simple web scraper built in Python with FastAPI. It scrapes data from the oficial website Banco Central de Venezuela and returns it in JSON format.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

• Python 3.12 or higher
• FastAPI
• Requests
• BeautifulSoup4
• Docker

1. Clone the repository.
2. Install the required packages using pip install -r requirements.txt.
3. Run the application using python run.py.

1. Send a GET request to http://localhost:8000/get-data.
2. The response will be in JSON format.

To run the application in a Docker container, follow these steps:

1. Build the Docker image using docker build -t bcv-scraper ..
2. Run the Docker container using docker run -p 8000:8000 bcv-scraper.

Keep in mind that every call to the endpoint executes a scraping to the website. You need to consider storage solutions to avoid problems with the institution and yourself.

If you have the means, I recommend crawlab. You can create a scrapy spider with the selectors in scraper.py, set the cron task and forget about it (Well, mostly).

Contributions are welcome! Please feel free to submit a pull request.

I hope this helps! Let me know if you have any questions.