GCP Compute Machines Costs

This project is a python package for scraping and exporting GCP Compute Machines metadata and costs information.

Requirements

• python >= 3.12
• GCP service account with the next assigned permissions:
  • compute.machineTypes.list
  • compute.regions.list
  • compute.zones.list

Installation

pip install gcp-compute-machines

Usage

Create new file scrape.py with the next content and change gcp_project_name and gcp_sa_account_path variables.

from gcp_compute_machines import InstanceScraper

gcp_project_name = 'CHANGE_ME'
gcp_sa_account_path = 'CHANGE_ME'


scraper = InstanceScraper(
    gcp_project=gcp_project_name,
    sa_path=gcp_sa_account_path
)
scraper.run(
    # dump=True means that app saves the scrapped SKUs data locally for future reuses.
    dump=True,
    # Set load=True if you want to use local SKUs data between sequential runs.
    load=True
)
scraper.dump_pricing_info(
    raw_pricing_data_file_path='./data/raw_gcp_machines_pricing.yaml',
    flat_pricing_data_file_path='./data/flat_gcp_machines_pricing.yaml'
)

License

This project is under the Apache License, Version 2.0 unless noted otherwise.

Important info

Please note this project is not an official Google product.

That means no warranty in costs data integrity. Use scraped data wisely.