OK…made some progress…I found a java query thing in the data that I can use to get a big hunk of data:
https://swd.weatherflow.com/swd/rest/better_forecast?callback=jQuery22409170868888429933_1695760092404&api_key=a8f5dbda-af0a-4b57-99b9-f10baa88f27b&build=76&lat=-41.17002&lon=174.83538&station_id=34978&units_temp=c&units_wind=kph&units_pressure=hpa&units_distance=km&units_precip=mm&units_other=metric&units_direction=kph&_=1695760092405
That brings back this mess:
jQuery22409170868888429933_1695760092404({"build_code":"005-s1-bt0.bwa0.bwg0.bwd0.bpop0.bst0-m0","client":{"base_url":"https://s3.amazonaws.com/tempest.cdn/assets/better-forecast/v9/"},"current_conditions":{"air_density":1.23,"air_temperature":7.0,"brightness":11054,"conditions":"Rain Likely","delta_t":1.0,"dew_point":6.0,"feels_like":6.0,"icon":"cc-rainy","includes_station_data":true,"is_precip_local_day_rain_check":false,"is_precip_local_yesterday_rain_check":true,"lightning_strike_count_last_1hr":0,"lightning_strike_count_last_3hr":0,"lightning_strike_last_distance":9,"lightning_strike_last_distance_msg":"7 - 11 km","lightning_strike_last_epoch":1692454791,"precip_accum_local_day":3.08,"precip_accum_local_yesterday":17.35,"precip_minutes_local_day":357,"precip_minutes_local_yesterday":957,"pressure_trend":"rising","relative_humidity":91,"sea_level_pressure":1006.1,"solar_radiation":92,"station_pressure":992.8,"time":1695760831,"uv":0,"wet_bulb_globe_temperature":7.0,"wet_bulb_temperature":6.0,"wind_avg":8.0,"wind_direction":195,"wind_direction_cardinal":"SSW","wind_direction_icon":"wind-rose-ssw","wind_gust":14.0},"forecast":{"daily":[{"air_temp_high":9.0,"air_temp_high_color":"0087d2","air_temp_low":6.0,"air_temp_low_color":"0053ee","conditions":"Rain Likely","day_num":27,"day_start_local":1695726000,"icon":"rainy","month_num":9,"precip":5.18,"precip_icon":"chance-rain","precip_probability":90,"precip_type":"rain","relative_humidity":88,"relative_sunshine_duration":5,"sunrise":1695751385,"sunset":1695795687,"wind_avg":21.0},{"air_temp_high":14.0,"air_temp_high_color":"4fe25b","air_temp_low":9.0,"air_temp_low_color":"0087d2","conditions":"Rain Likely","day_num":28,"day_start_local":1695812400,"icon":"rainy","month_num":9,"precip":2.08,"precip_icon":"chance-rain","precip_probability":80,"precip_type":"rain","relative_humidity":77,"relative_sunshine_duration":29,"sunrise":1695837682,"sunset":1695882148,"wind_avg":12.0},{"air_temp_high":14.0,"air_temp_high_color":"4fe25b","air_temp_low":8.0,"air_temp_low_color":"006ae4","conditions":"Rain Likely","day_num":29,"day_start_local":1695898800,"icon":"rainy","month_num":9,"precip":3.75,"precip_icon":"chance-rain","precip_probability":90,"precip_type":"rain","relative_humidity":76,"relative_sunshine_duration":42,"sunrise":1695923980,"sunset":1695968610,"wind_avg":27.0},{"air_temp_high":12.0,"air_temp_high_color":"14cb99","air_temp_low":8.0,"air_temp_low_color":"006ae4","conditions":"Thunderstorms Likely","day_num":30,"day_start_local":1695985200,"icon":"thunderstorm","month_num":9,"precip":9.7,"precip_icon":"chance-rain","precip_probability":90,"precip_type":"storm","relative_humidity":82,"relative_sunshine_duration":21,"sunrise":1696010278,"sunset":1696055072,"wind_avg":33.0},{"air_temp_high":14.0,"air_temp_high_color":"4fe25b","air_temp_low":7.0,"air_temp_low_color":"006ae4","conditions":"Rain Possible","day_num":1,"day_start_local":1696071600,"icon":"possibly-rainy-day","month_num":10,"precip":0,"precip_icon":"chance-rain","precip_probability":20,"precip_type":"rain","relative_humidity":80,"relative_sunshine_duration":67,"sunrise":1696096577,"sunset":1696141534,"wind_avg":24.0},{"air_temp_high":15.0,"air_temp_high_color":"4fe25b","air_temp_low":11.0,"air_temp_low_color":"00aabd","conditions":"Rain Likely","day_num":2,"day_start_local":1696158000,"icon":"rainy","month_num":10,"precip":7.27,"precip_icon":"chance-rain","precip_probability":80,"precip_type":"rain","relative_humidity":65,"relative_sunshine_duration":14,"sunrise":1696182875,"sunset":1696227997,"wind_avg":40.0},{"air_temp_high":12.0,"air_temp_high_color":"14cb99","air_temp_low":9.0,"air_temp_low_color":"0087d2","conditions":"Rain Likely","day_num":3,"day_start_local":1696244400,"icon":"rainy","month_num":10,"precip":1.54,"precip_icon":"chance-rain","precip_probability":60,"precip_type":"rain","relative_humidity":80,"relative_sunshine_duration":68,"sunrise":1696269174,"sunset":1696314459,"wind_avg":24.0},{"air_temp_high":14.0,"air_temp_high_color":"4fe25b","air_temp_low":9.0,"air_temp_low_color":"0087d2","conditions":"Partly Cloudy","day_num":4,"day_start_local":1696330800,"icon":"partly-cloudy-day","month_num":10,"precip":0,"precip_icon":"chance-rain","precip_probability":10,"precip_type":"rain","relative_humidity":75,"relative_sunshine_duration":65,"sunrise":1696355474,"sunset":1696400922,"wind_avg":25.0},{"air_temp_high":15.0,"air_temp_high_color":"4fe25b","air_temp_low":12.0,"air_temp_low_color":"14cb99","conditions":"Partly Cloudy","day_num":5,"day_start_local":1696417200,"icon":"partly-cloudy-day","month_num":10,"precip":0,"precip_icon":"chance-rain","precip_probability":10,"precip_type":"rain","relative_humidity":66,"relative_sunshine_duration":47,"sunrise":1696441773,"sunset":1696487386,"wind_avg":31.0},{"air_temp_high":16.0,"air_temp_high_color":"81d618","air_temp_low":12.0,"air_temp_low_color":"14cb99","conditions":"Rain Possible","day_num":6,"day_start_local":1696503600,"icon":"possibly-rainy-day","month_num":10,"precip":0,"precip_icon":"chance-rain","precip_probability":20,"precip_type":"rain","relative_humidity":65,"relative_sunshine_duration":50,"sunrise":1696528073,"sunset":1696573850,"wind_avg":29.0}],"hourly":
<SNIPPED - WAAAAAAAAAAAY TOO LONG>
Of that I can see the data I want:
"brightness":11054
How the heck do I pull that snippet out of that mess? Basically I know I need to find this bit:
"brightness":11054,"conditions"
Then replace [“brightness”:] and [,“conditions”] with [nothing] so that only ‘11054’ (or whatever the value is) is left…but…how?