Kalshi Markets Scraper - Odds, Volume & Weather Forecasts

Pull Kalshi's prediction markets into a table: the yes and no quotes, the last trade, volume, open interest, when trading closes and how it settled. Ask by city, by Kalshi category, by tag, or by series, event or market ticker. The orderbook and recent trades come along if you want them.

Prices carry Kalshi's own 15-second cache header, so treat a row as up to 15 seconds old rather than as a live tick.

Input	Cities, Kalshi categories, tags, or series, event and market tickers, plus status, date and volume filters
Output	One row per market: yes and no quotes, last price, volume, open interest, close time, result. Temperature brackets add the station, the bracket edges and a forecast
Ceiling	50,000 markets per run, or 2,000 with trades on
Speed	Three cities' brackets in about 3 seconds, all 24 cities in about 25, and 10,000 markets in 40
Account needed	None, and no API key
Price	$0.92 per 1,000 markets, flat on every plan. The free plan's $5 a month covers about 5,400

🔍 What Kalshi Markets Scraper does

It runs each search you give it and writes one row per market. A market is a single yes-or-no contract, an event is one occurrence of a question, and a series is the question Kalshi asks over and over, so KXHIGHNY is the series, KXHIGHNY-26SEP14 the event and KXHIGHNY-26SEP14-B81.5 one bracket inside it.

Temperature markets get extra treatment. Kalshi runs daily high and low temperature brackets in 24 US cities, six brackets a day. Pick cities and every bracket comes back with the weather station it settles on, the bracket edges in whole degrees, the settled temperature once there is one, and a forecast for that station and day: the number, whether it lands inside the bracket, and by how many degrees it misses. Today and the next 15 days get a forecast. Past days do not.

Combo markets, where several outcomes are bundled into one contract, are left out by default. Kalshi generates them in very large numbers and they would swamp everything else.

📋 What data you get from each Kalshi market

What you get	Field
Market, event and series tickers, and the question in words	ticker, eventTicker, seriesTicker, title, yesSubTitle, noSubTitle, eventTitle, eventSubTitle
Category, state and the numeric edges of the question	category, status, statusGroup, result, marketType, strikeType, floorStrike, capStrike
Yes and no quotes, the last trade, and the same a day earlier	yesBid, yesAsk, noBid, noAsk, lastPrice, yesBidSize, yesAskSize, previousYesBid, previousYesAsk, previousPrice
Contracts traded and still held	volume, volume24h, openInterest, notionalValue
When it opens, closes and settles	openTime, closeTime, expectedExpirationTime, latestExpirationTime, settlementTime
How it settled	settlementValue, expirationValue, canCloseEarly, archived
The rule text, the link and when the row was read	rulesPrimary, url, isCombo, fetchedAt
Temperature brackets: city, station, day, bracket edges, settled temperature	city, stationCode, stationName, weatherDate, temperatureKind, bracketLowF, bracketHighF, settledTempF
Temperature brackets: the forecast and how far it misses	forecastTempF, forecastInBracket, forecastDistanceF, forecastSource, forecastFetchedAt
The orderbook and recent trades, when you ask	orderbook, recentTrades

▶️ How to scrape Kalshi markets

1. Open Kalshi Markets Scraper and click Try for free.
2. For temperature markets, pick Cities and leave Add the forecast on.
3. For anything else, pick Categories, or paste tickers into Series tickers, Event tickers or Market tickers.
4. Set Market status and Maximum markets.
5. Click Start, then download the dataset as JSON, CSV or Excel, or read it from the Apify API.

Run it with nothing set and you get one labelled sample row, a real temperature bracket with its forecast attached. It is not charged.

💰 How much does it cost to scrape Kalshi markets?

$0.92 per 1,000 markets. Flat on every Apify plan, no volume tiers. On the free plan, the $5 Apify gives you each month covers about 5,400 markets.

You pay per market row delivered. The forecast, the orderbook and the trades ride along with the market row and add nothing on top. Markets your filters set aside, repeats, a ticker Kalshi does not know, a search that could not be read, and the sample row are all uncharged.

📥 What you give it

{
  "status": "open",
  "weatherCities": ["New York City", "Chicago", "Miami"],
  "weatherKind": "both",
  "addForecast": true,
  "minVolume24h": 100,
  "maxMarkets": 500
}

Field	Default	What it is
status	none, the box starts at open	open, closed, settled, unopened, paused or any. Left empty, cities, categories and series return open markets, and tickers you list come back whatever their status.
weatherCities	none, the box starts at three	Any of the 24 cities Kalshi runs temperature markets in.
weatherKind	both	both, high or low.
addForecast	on	Adds the forecast fields to each temperature bracket.
categories	none	Kalshi's own categories. Every market inside comes back.
tags	none	Kalshi's sub-categories, written as Kalshi shows them: Daily temperature, Inflation. With categories set too, a series has to carry both.
seriesTickers	none	Up to 200, like KXFED. Every market in the series.
eventTickers	none	Up to 500, like KXHIGHNY-26SEP14. All of that event's markets.
marketTickers	none	Up to 5,000 single markets.
keyword	none	Only markets whose title, bracket or event mentions it. Capitals do not matter.
closeFrom, closeTo	none	Trading closes on or after, and on or before, these UTC days. For settled markets closeFrom reaches back past Kalshi's live window into its archive.
minVolume, minVolume24h, minOpenInterest	none	Contract-count floors: lifetime, last 24 hours, and still held.
combos	exclude	exclude, include or only.
includeOrderbook	off	Resting bids on both sides, best price first.
orderbookDepth	10	Price levels per side, up to 100.
includeTrades	off	Latest trades per market, fetched market by market, so a run with trades stops at 2,000 markets.
tradesPerMarket	20	Up to 100.
maxMarkets	1000, the box starts at 100	Markets in one run, up to 50,000.

📤 What you get back

A real temperature row from a run on 14 September 2026:

{
  "ticker": "KXHIGHNY-26SEP14-T81",
  "eventTicker": "KXHIGHNY-26SEP14",
  "seriesTicker": "KXHIGHNY",
  "title": "Will the maximum temperature be >81° on Sep 14, 2026?",
  "yesSubTitle": "82° or above",
  "eventTitle": "Highest temperature in New York City on Sep 14, 2026?",
  "category": "Climate and Weather",
  "status": "active",
  "statusGroup": "open",
  "result": null,
  "marketType": "binary",
  "strikeType": "greater",
  "floorStrike": 81,
  "capStrike": null,
  "yesBid": 0,
  "yesAsk": 0.01,
  "noBid": 0.99,
  "noAsk": 1,
  "lastPrice": 0.01,
  "yesAskSize": 11128.31,
  "volume": 1186.01,
  "volume24h": 1186.01,
  "openInterest": 1186.01,
  "openTime": "2026-09-13T14:00:00Z",
  "closeTime": "2026-09-15T05:00:00Z",
  "settlementValue": null,
  "isCombo": false,
  "rulesPrimary": "If the maximum temperature recorded at New York City (CLINYC) for Sep 14, 2026, is greater than 81° fahrenheit according to The Weather Company, then the market resolves to Yes.",
  "url": "https://kalshi.com/markets/kxhighny",
  "fetchedAt": "2026-09-14T05:45:15.320Z",
  "city": "New York City",
  "stationCode": "CLINYC",
  "stationName": "New York City, Central Park",
  "weatherDate": "2026-09-14",
  "temperatureKind": "high",
  "bracketLowF": 82,
  "bracketHighF": null,
  "settledTempF": null,
  "forecastTempF": 71.8,
  "forecastInBracket": false,
  "forecastDistanceF": 10
}

Cut short here: the row also carries noSubTitle, eventSubTitle, yesBidSize, previousYesBid, previousYesAsk, previousPrice, notionalValue, expectedExpirationTime, latestExpirationTime, settlementTime, expirationValue, canCloseEarly, archived, forecastSource and forecastFetchedAt.

Field	How to read it
Every price field	In dollars, so 0.37 is 37 cents a contract.
status, statusGroup	Kalshi's own word, and the coarser group the filters use.
floorStrike, capStrike	The numeric edges of the question, when it has them.
seriesTicker	Read off the event record rather than guessed from the ticker, because 75 of about 7,000 open events do not start with their own series.
category	The event's category. A series can sit in more than one, so a search by category can return rows labelled with a different one.
bracketLowF, bracketHighF	Whole degrees, both ends inclusive. One of them is null on an open-ended bracket.
settledTempF	The temperature the market settled on, once it has closed or settled.
forecastSource	Names the forecast service the numbers came from, the same on every row.
orderbook, recentTrades	Only when you asked for them. Both best or newest first.

🧾 Reading the output

Row	How to spot it	Charged
A market	_sample is absent	yes
The sample row	_sample: true	no

There are no diagnostic rows. The status message leads with the result, like "Returned N markets (M temperature brackets, K with a forecast)", then names what was set aside and why. RUN_REPORT in the key-value store holds the long version: one entry per search with its status and page count, skipped counts by reason, tickers Kalshi did not recognise, and where the archive cutoff fell.

Two dataset views are set up, overview and weather, so the temperature fields have somewhere sensible to land in a spreadsheet.

💡 What people use it for

• Watching the temperature brackets for a city against the forecast, to see where the two disagree.
• Pulling a settled series with closeFrom and closeTo to build a history of how a question paid.
• Screening the open board by minVolume24h to find the markets that are actually trading.
• Feeding a model with yes and no quotes plus open interest, on a schedule, keyed on ticker.
• Reading the orderbook on a handful of markets to see how deep the resting bids go.

🚧 What it does not do

• No trading. It reads public market data. It does not place, hold or cancel anything.
• Prices are up to 15 seconds old, because that is what Kalshi's own cache header says.
• A wide walk stops at 120 pages, about 120,000 markets. The open board without combos was 119,253, so anything broader than that gets cut off with a message.
• A category search does not reach the archive. Old settled markets need a series, event, ticker or city.
• Combo markets arrive thin. No event title, series, category or link, because Kalshi leaves combo events out of its event listings.
• If the forecast service does not answer, brackets come back without forecast fields and are still charged as markets. The status says how many.
• The city list is fixed at Kalshi's 24 US cities. A new one Kalshi adds arrives as a plain market with no weather fields until the list is updated here.
• An archived bracket can be missing its settled value, so settledTempF is null. One row in 552 on a recent archive read.
• Trades are fetched market by market, which is why a run with trades on stops at 2,000 markets.
• It is not an official Kalshi tool. Dami's Studio is independent and is not affiliated with or endorsed by Kalshi, or by any other company named on this page.

🧭 Which markets scraper do you need?

If you want	Use
Kalshi prices, volume, settlement and temperature brackets	This one
Large Polymarket trades, with the wallet behind each one	Polymarket Whale Tracker
A forecast or past daily weather for any city, not just Kalshi's 24	Weather Scraper
Sportsbook lines and player props	Sports Odds Scraper
Crypto prices, market cap and volume	CoinGecko Scraper

❓ Questions people ask

Do I need a Kalshi account or API key?

No. No login and no API key.

How do I get one day's temperature brackets for a city?

Set Cities to that city, and Closes on or after and Closes on or before to the day you want.

Why is a row's category not the one I searched?

category belongs to the event, and a series can live under more than one. 15 of 300 rows found through Economics came back labelled Financials, Science and Technology, Politics or Elections.

Can I get historical settled Kalshi markets?

Yes, for a series, event, ticker or city. Set Market status to settled and push Closes on or after back.

Why did my wide search stop early?

Either Maximum markets or the 120-page walk limit. The status message says which.

Can I call it from code or connect it to an AI assistant?

Yes. The API tab has ready-made code for Python, JavaScript and the command line. For Claude, ChatGPT or another MCP client, connect https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/kalshi-markets-scraper. Either way the run happens on your Apify account at the same price.

Is scraping Kalshi legal?

This reads Kalshi's own public market data with no account. Kalshi's terms govern what you may do with it, so read them against your plan. Apify's write-up on the legality of web scraping is a starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the run ID and the tickers or cities you used. The status message and RUN_REPORT name which search fell short.