Kalshi Scraper & API — Odds, Probabilities, Volume

Kalshi Scraper & API turns the whole Kalshi exchange into a table. Every market comes back with the implied probability in per cent, the yes and no price, best bid and ask, the 24-hour move, volume, open interest, the close date and a link — no API key, no login, no browser.

Five modes: markets (one row per tradable contract), events (one row per question with every outcome and its probability), search by keyword, price history down to the minute, and the order book with both sides. A run over the active markets takes a few seconds.

What is Kalshi Scraper?

Kalshi is the CFTC-regulated US event exchange: contracts that pay $1 if something happens, on rates, elections, weather, inflation prints, company events and sport. Its price is the crowd's probability, and this Actor reads all of it in one call — for traders, journalists, researchers, dashboards and AI agents that get asked "what are the odds the Fed cuts in September".

What data does it return?

Markets

Field	Example
marketId, seriesTicker, slug	KXOAIANTH-40-OAI · KXOAIANTH
question, shortTitle, eventTitle	Will OpenAI or Anthropic IPO first? — OpenAI
probability, yesPrice, noPrice	6.0 (per cent) · 0.06 · 0.94
bestBid, bestAsk, spread, lastPrice	0.05 · 0.07 · 0.02 · 0.06
priceChange24h	-0.03 — a move in price, so ±0.03 is three points of probability
volume, volume24h, volume1w, openInterest	171,344 · 2,840 · … · 40,639
status, result	open · empty until it settles
openTime, closeTime, endDate	ISO 8601
category, tags, marketType, strikeType	Economics · binary · greater
outcomes	[{name: "Yes", price: 0.06, probability: 6.0}, {name: "No", …}]
rules, url	resolution text · link to the market

Open interest is Kalshi's own depth measure — how many contracts are still live. Kalshi reports a liquidity figure of zero on nearly every market, so this Actor does not show a liquidity column that would always read empty.

Events

One row per question with outcomes sorted most likely first, favourite and favouriteProbability, outcomeCount, total volume and openInterest, and a ready summary sentence. This is the shape for "who will win": one row for the whole race with every candidate and their probability, instead of one contract per candidate.

Price history and order book

History returns one row per point with time, price and probability — a week at hourly resolution by default, one-minute resolution for short windows, up to 90 days. The order book returns both sides with price and size per level.

How much does it cost?

Pay per row, and only for rows you actually get:

Event	Price
Market	$0.0015
Event	$0.0008
Price point	$0.0002
Order book snapshot	$0.001

Error rows are never charged. There is no browser and no proxy — one public JSON API — so platform usage on top of that is negligible.

Job	Cost
500 active markets	$0.75
100 markets with 30 days of price history	$0.80
A daily 200-market snapshot for a month	$9.00

Other Kalshi Actors charge $0.001 to $0.004 per row and most return the market list only. This one is priced inside that range and adds events, history and order books at the same time.

How to use it

1. Choose 📋 What to get: markets, events, search, history or order book.
2. Narrow with 🔍 Keyword (fed, election, bitcoin, super bowl) and 🏷️ Category — several at once, Politics, Crypto keeps a market matching either.
3. Set 📈 Minimum open interest or 💧 Minimum volume. Kalshi lists thousands of near-empty contracts; a volume floor of 1000 keeps the ones people actually trade.
4. Sort by 24-hour volume, total volume, closing date, probability or biggest 24-hour move.
5. Click Start, then export as JSON, CSV or Excel, or read the dataset through the API.

⬇️ Input

{
  "mode": "markets",
  "query": "fed",
  "minVolume": 1000,
  "sortBy": "volume24h",
  "maxMarkets": 200
}

Events with all outcomes

{ "mode": "events", "category": "Politics", "minVolume": 5000, "maxMarkets": 50 }

Price history for specific markets

{ "mode": "history", "marketIds": ["KXOAIANTH-40-OAI"], "historyDays": 30 }

One series only

{ "mode": "markets", "seriesTicker": "KXPRESPARTY", "includeClosed": false }

⬆️ Output

{
  "type": "market",
  "platform": "kalshi",
  "marketId": "KXOAIANTH-40-OAI",
  "seriesTicker": "KXOAIANTH",
  "question": "Will OpenAI or Anthropic IPO first? — OpenAI",
  "eventTitle": "Will OpenAI or Anthropic IPO first?",
  "category": "Companies",
  "probability": 6,
  "yesPrice": 0.06,
  "noPrice": 0.94,
  "bestBid": 0.05,
  "bestAsk": 0.07,
  "spread": 0.02,
  "lastPrice": 0.06,
  "priceChange24h": -0.01,
  "volume": 171344.62,
  "volume24h": 2840,
  "openInterest": 40639.56,
  "status": "open",
  "closeTime": "2027-12-31T15:00:00Z",
  "outcomes": [
    { "name": "Yes", "price": 0.06, "probability": 6 },
    { "name": "No", "price": 0.94, "probability": 94 }
  ],
  "url": "https://kalshi.com/markets/kxoaianth",
  "scrapedAt": "2026-09-04T01:00:00.000Z"
}

A request that fails arrives as a type: "error" row with the reason, never as a silently short list.

Use cases

Odds for a theme

Filter on fed, cpi or election and get every Kalshi contract on it with the probability each one implies.

Dashboards and newsletters

Sort by 24-hour move to see what repriced overnight, or by closing date for what resolves this week.

Research

Pull price history for a set of markets and study how the crowd's estimate moved against the news.

Bots and alerts

Schedule the run and alert when a probability crosses a threshold you care about.

AI agents

An agent asked "what does Kalshi say about a September rate cut" runs the search mode and reads probability straight off the rows.

🤖 For AI Agents & LLM Apps

Compact reference for agents calling this Actor through the Apify MCP server or the Apify API (lergassy/kalshi-scraper).

Purpose: returns what Kalshi currently prices for a question. Use it for "what are the odds of X", "which markets moved most today", "what does the crowd think about the election".

Minimal input:

{ "query": "fed", "minVolume": 1000, "maxMarkets": 50 }

Output: one row per market — marketId, seriesTicker, question, eventTitle, category, tags, probability (per cent, the number to quote), yesPrice, noPrice, bestBid, bestAsk, spread, lastPrice, priceChange24h, volume, volume24h, openInterest, status, openTime, closeTime, outcomes, rules, url, scrapedAt. Event mode returns outcomes sorted by probability with favourite and a summary sentence; history mode one row per price point; order-book mode one row per market with both sides.

Behaviors an agent should know:

• probability is the field to quote, in per cent. yesPrice is the same number as a price between 0 and 1, because one contract pays $1 if the event happens.
• priceChange24h is a change in price, so 0.03 means three percentage points of probability.
• Kalshi lists thousands of near-empty markets. Always pass minVolume (1000 is a good floor) or the answer fills with noise.
• Depth on Kalshi is openInterest, not liquidity; the venue leaves its liquidity figure at zero.
• Filters are applied by this Actor: query matches the question, event title and tags; category matches Kalshi categories.
• Read rules before treating a market as the bet you have in mind — the resolution wording decides what actually pays.
• History needs marketIds; without them the Actor uses the most active markets.
• The API is public: no key, no account, no proxy.

Kalshi API without a key

Kalshi publishes open endpoints and changes their shape often. This Actor handles the pagination, the price conventions and the event-to-market nesting, and returns one stable row shape whichever series a market came from.

❓ FAQ

Is this financial advice or a trading tool?

No. It reads public market data and returns it as a table. It places no orders and holds no positions.

Is the probability the true chance of the event?

It is what the market pays, which is the crowd's price after fees and risk appetite. Treat it as a market price, not a forecast from a model.

How fresh are the numbers?

Live at the moment of the run. Schedule the Actor to build a time series of your own.

Do I need a Kalshi account?

No. The endpoints used here are public and read-only.

Why is the liquidity column missing?

Because Kalshi returns zero for it on nearly every market. Open interest is the figure that actually says how much is at stake.

Can I use it with the Apify API or an MCP server?

Yes. It runs from the API and the official clients, and AI agents reach it through the Apify MCP server without extra setup.

Your feedback

Missing a field, or a series you want covered? Open an issue on the Issues tab — every one gets answered.

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Also known as

People look for this Actor as a Kalshi API, a Kalshi scraper, event contracts data, Kalshi odds, implied probability data, prediction market data and election odds.