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.

API Scraper

from gcp_compute_machines import GCPMachinesScraper

gcp_project_name = 'CHANGE_ME'
gcp_sa_account_path = 'CHANGE_ME'

scraper = GCPMachinesScraper(
    gpc_project_name=gcp_project_name,
    gcp_sa_account_path=gcp_sa_account_path
)
machines = scraper.fetch_gcp_machines(
    # dump=True means that app saves the scrapped SKUs data locally
    dump=True,
    # Set load=True if you want to use local SKUs data between sequential runs.
    load=False
)

scraper.dump_pricing_info(
    file_path='./data/flat_gcp_machines_pricing.yaml'
)

Loader for https://gcloud-compute.com/

This code downloads data from the website above and loads it into pydantic model.

from gcp_compute_machines import GCloudComputeMachinesProvider

scraper = GCloudComputeMachinesProvider()
machines = scraper.fetch_gcp_machines()
scraper.dump_pricing_info("./data/flat_gcloud_compute_machines_pricing.yaml")

Keep in mind that:

• All pricing fields are normalized to hourly cost
• Some fields were renamed or dropped

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.