Get every Kalshi daily temperature market — highs and lows for 24 US cities — with the price of each bracket and fair probabilities with the exchange's overround stripped out. The weather forecast for the exact settlement station sits next to the market's own expected temperature. No API key, no login.
city / station | City and settlement station |
date | Market day |
bracket | Temperature band |
price | Bracket price |
fairProbability | Probability without overround |
volume | Traded volume |
expectedTemperature | Market-implied expected temperature |
forecast | Weather forecast for the station |
seriesTicker | Kalshi series ticker, e.g. KXHIGHNY |
$0.50 per 1,000 rows
Pay per event: you are charged only for what the run returns — bracket rows, day rows, forecast rows, series rows. There is no monthly subscription; caps in the input keep each run's cost predictable.
Apify gives $5 free credits every month — enough to test this scraper at no cost.
Ready-made inputs. Copy one into the scraper form or send it through the API.
Every bracket price for the next 2 days next to the forecast.
{
"mode": "markets",
"metrics": [
"high"
],
"cities": [
"New York"
],
"days": 2,
"withForecast": true
}Whole bracket distribution collapsed per city and day.
{
"mode": "events",
"metrics": [
"high",
"low"
],
"days": 3
}Forecast mode for 5 days ahead.
{
"mode": "forecast",
"metrics": [
"high"
],
"cities": [
"Chicago",
"Phoenix",
"Miami"
],
"days": 5
}Series mode to see every ticker.
{
"mode": "series"
}No. The scraper works without an API key or login; you only need an Apify account.
Kalshi's daily high and low temperature markets for 24 US settlement stations; rain, snow and hurricane series are listed in series mode.
The scraper reads publicly available Kalshi data without logging in. Scraping public data is generally allowed, but you are responsible for complying with local laws and the site's terms, and for not collecting or misusing personal data.
From Open-Meteo for the station each market settles on, placed next to the market price.
Call it through the Apify API, use the Python or JavaScript client, or connect it to Make, n8n, Zapier or Google Sheets. Results export to JSON, CSV or Excel, and runs can be scheduled.