Integration

Beach Day API Python Client

Install the official Python client from PyPI and query beaches, conditions, scores, tides, and other coastal data in a few lines of code.

Best for backend services, notebooks, automation scripts, and data pipelines in Python.

View on PyPI View Docs

Why use the Python client

The Python client removes repetitive request plumbing so you can focus on product logic and analysis. It wraps authentication, endpoint access, and common workflows into a clean Python interface that works well for web backends, notebooks, cron jobs, and internal tools.

What you can do with this client

Clean Python interface
Search beaches, fetch conditions, and retrieve scored results through one lightweight client.
Fast setup
Install from PyPI and start calling the API in minutes with your existing Python stack.
Good fit for data work
Use Beach Day API inside notebooks, scripts, ETL jobs, and backend services without custom boilerplate.

Popular Python use cases

  • ✓Travel and tourism backend services
  • ✓Data pipelines that monitor beach conditions over time
  • ✓Vacation rental concierge scripts and scheduled jobs
  • ✓Analyst notebooks for scored beach comparisons

Typical Python setup

  1. Install the package from PyPI.
  2. Create a BeachDayAPI client with your API key.
  3. Search beaches or pull scored results relevant to your product.
  4. Use the response directly in your app, job, or notebook.

Quick start

Python
from beachdayapi import BeachDayAPI

client = BeachDayAPI("bda_your_api_key")

beaches = client.beaches.list(search="Malibu")
scored = client.beaches.scored(min_score=70)
health = client.health()

Why use the client instead of raw requests?

The client is faster to adopt, easier to read, and less error-prone for teams already working in Python. You still keep full API flexibility, but with cleaner code and less setup friction.

Useful supporting assets

Ship Beach Day API faster in Python

The official Python client is the fastest way to move from raw API interest to working code in scripts, services, and data workflows.

View on PyPI View Docs

Prefer a hand with the build? Our team can implement it for you.

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