Scraping Weather Data: NOAA, Weather.com, and Open APIs

Scraping Weather Data: NOAA, Weather.com, and Open APIs Weather data powers agriculture, logistics, insurance, and event planning applications. This guide covers how to collect weather data from multiple sources using Python. Data Sources Overview Source Type Cost Best For NOAA Climate Data API Free Historical weather data OpenWeatherMap API Free tier Current and forecast Weather.com Scraping Free Detailed forecasts Visual Crossing API Free tier Historical + forecast Setup pip install requests beautifulsoup4 pandas matplotlib NOAA Climate Data (Free Official API) import requests import pandas as pd from datetime import datetime , timedelta class NOAAScraper : def __init__ ( self , token ): self . base_url = " https://www.ncdc.noaa.gov/cdo-web/api/v2 " self . headers = { " token " : token } def get_stations ( self , location_id , dataset = " GHCND " ): response = requests . get ( f " { self . base_url } /stations " , headers = self . headers , params = { " datasetid " : dataset , " loca