Kalshi Scraper — Prediction Markets, Odds & Events 📈

foXLabs market data: Kalshi prediction markets · implied probability · Yes/No order book · volume & open interest

🎉 Turn Kalshi into clean, structured data: every prediction market with its implied probability, Yes/No bid-ask, last price, price change, volume and open interest — plus grouped events with their child markets. Kalshi is a US-regulated (CFTC) exchange, and this reads its public data with no API key, no login, no wallet. Built for traders and quants, researchers and journalists, and AI agents.

🔍 What is the Kalshi Scraper — and when should you use it?

Pick a mode and get rows you can filter, export or feed to a model, a spreadsheet or an AI agent:

• Events (default) — grouped events (e.g. "Will Elon Musk visit Mars in his lifetime?") each with its child markets nested in the row, their prices, volume and open interest. The cleanest way to browse Kalshi.
• Markets — one row per individual market: implied probability, Yes/No bid-ask, last price, price change, volume and open interest.

Use it when you need: a live probability feed for a dashboard or bot; event contracts grouped by topic; or every market under one Kalshi series.

Use something else when you need to place trades (that needs Kalshi's authenticated trading API) or tick-by-tick order-book depth — this delivers the public market snapshot (prices, volume, open interest).

🤖 Use with AI agents

Already on the Apify MCP server? Ask for it by name: foxlabs/kalshi-prediction-markets.

Your agent can pay for its own runs — pay-per-event with agentic payments over x402 (USDC on Base) or Skyfire, with no Apify account of its own. Billing is per delivered record, never for errors or empty results.

Paste into Claude, ChatGPT, Cursor or any MCP assistant:

Use the Apify Actor `foxlabs/kalshi-prediction-markets`.
Input: `mode` = events | markets; `status` = open | closed | settled;
`seriesTicker` filters to one series; `minVolume` drops illiquid markets (markets mode);
`maxResults` caps rows.
Start with: { "mode": "events", "status": "open", "maxResults": 50 }

Things you can ask your agent:

• "What are Kalshi's open events and the implied probability of each outcome?"
• "List open markets with volume over 1000, with their Yes/No prices."
• "Pull every market in the KXELONMARS series."

Machine-readable output: every run writes a JSON dataset you can pull from the Apify API or the .json dataset endpoint.

📋 Overview

The Kalshi Scraper reads Kalshi's public trade API live on every run and returns clean, camelCase rows. There is nothing to configure: no API key, no login, no wallet, no proxies to buy.

Why teams pick this actor:

• 🧱 Two jobs, one actor — grouped events and individual markets in a single tool.
• 🎯 Prices as probability — Kalshi prices are 0–1 and equal the implied probability; we expose it directly, with Yes/No bid-ask and the price change.
• 🔑 Zero setup — no API key, no login, no wallet.
• ♻️ Fresh every run — reads the source live, so prices, volume and open interest stay current.
• 🤝 Agent-ready — MCP + x402, billed per delivered record.

✨ Features

• 💹 Live prices & probability — implied probability, Yes/No bid and ask, last price, and the change from the previous price.
• 📊 Volume & open interest — traded volume, 24-hour volume and current open interest per market.
• 🗂️ Grouped events — category, series, settlement sources and every child market nested in the event row.
• 🔎 Filter — by status (open/closed/settled/unopened), by seriesTicker, and by minVolume (markets mode).
• 📦 Clean export — camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~kalshi-prediction-markets/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode": "events", "status": "open", "maxResults": 50}'

🚀 Getting Started (3 steps)

1. Pick a mode — events for grouped events (cleanest), markets for individual markets.
2. Set the scope — status, seriesTicker to focus on one series, minVolume to drop illiquid markets, maxResults to cap rows.
3. Run and export — download the dataset as JSON, CSV or Excel, or pull it from the API.

📥 Input

{
  "mode": "events",
  "status": "open",
  "seriesTicker": "",
  "minVolume": 0,
  "maxResults": 100
}

Field	Type	Description
mode	string	events (default), or markets.
status	string	open (tradable), closed, settled (resolved), unopened.
seriesTicker	string	Filter to one Kalshi series (e.g. KXELONMARS). Empty = all.
minVolume	integer	Markets mode: skip markets below this traded volume (0 = keep all).
maxResults	integer	Cap on delivered rows (0 = 100).
proxyConfiguration	object	Apify datacenter by default — no setup needed.

📤 Output

Market (markets mode):

{
  "type": "market",
  "ticker": "KXELONMARS-99",
  "eventTicker": "KXELONMARS-99",
  "title": "Will Elon Musk visit Mars before Aug 1, 2099?",
  "yesSubTitle": "Mars",
  "status": "active",
  "impliedProbability": 0.08,
  "lastPrice": 0.08, "previousPrice": 0.08, "priceChange": 0,
  "yesBid": 0.08, "yesAsk": 0.10, "noBid": 0.90, "noAsk": 0.92,
  "volume": 123771.17, "volume24h": 420.0, "openInterest": 39984.78,
  "notionalValue": 1, "result": "",
  "openTime": "2021-06-10T00:00:00Z", "closeTime": "2099-08-01T04:00:00Z",
  "source": "Kalshi", "scrapedAt": "2026-11-02T10:00:00.000Z"
}

Field	Type	Description
ticker / eventTicker	string	Canonical market and event identifiers.
title / yesSubTitle	string	Market question and the Yes side's label.
impliedProbability	number	0–1: the last trade price, or the Yes mid-price if there is no last trade.
lastPrice / previousPrice / priceChange	number	Last price, prior price, and their difference.
yesBid / yesAsk / noBid / noAsk	number	Top of the Yes and No order books (0–1).
volume / volume24h / openInterest	number	Traded volume (total and 24h) and current open interest.
status	string	Market status (e.g. active, finalized).
openTime / closeTime	string	Trading window (ISO).

Event (events mode): type: "event", eventTicker, seriesTicker, title, subTitle, category, mutuallyExclusive, settlementSources[], marketCount, and markets[] — each child market with ticker, title, impliedProbability, lastPrice, yesBid, yesAsk, volume and openInterest. Every row also carries source and scrapedAt.

💼 Use cases

• Probability dashboard
  • Input: { "mode": "events", "status": "open", "maxResults": 200 }
  • Output: open events with each child market's implied probability and volume.
  • Use: power a "what Kalshi thinks" widget or a bot.
• Liquidity screen
  • Input: { "mode": "markets", "status": "open", "minVolume": 1000 }
  • Output: only markets with real traded volume.
  • Use: focus a model on markets with meaningful activity.
• Series tracker
  • Input: { "mode": "markets", "seriesTicker": "KXELONMARS" }
  • Output: every market in one series.
  • Use: monitor one topic over time.

🔗 Integration

JavaScript (Apify client):

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/kalshi-prediction-markets').call({ mode: 'events', status: 'open', maxResults: 50 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python (Apify client):

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("foxlabs/kalshi-prediction-markets").call(run_input={"mode": "events", "status": "open", "maxResults": 50})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

n8n / Zapier / Make: use the Apify connector, pick this actor, map mode, status and maxResults, then route the dataset into your sheet, database or webhook.

📊 Pricing

Pay per result (PPE). You are billed only for delivered records, never for errors or empty runs.

Event	Price
market (one market row)	$0.002
event (a grouped event with its child markets)	$0.004

A 100-market pull costs about $0.20. An event row carries its child markets, so a handful of events delivers many price points for a few cents. There is no monthly rental and no minimum.

❓ FAQ

Do I need an API key, a login or a wallet to scrape Kalshi?

No. Reading Kalshi's public market data — markets and events with their prices, volume and open interest — needs nothing from you. Only placing trades requires an authenticated Kalshi account, which this actor never does. It reads the public trade API directly through Apify's free datacenter proxy.

Is the price the same as the probability?

Yes. A Kalshi contract settles at $1 if the event happens and $0 if it doesn't, so its price sits between 0 and 1 and equals the market's implied probability. A Yes price of 0.08 means the market implies an 8% chance. We expose this as impliedProbability — the last trade price, or the Yes mid-price when there is no last trade.

What is the difference between events and markets mode?

events (the default) returns grouped events — a question family such as "Will Elon Musk visit Mars in his lifetime?" — each with its child markets nested in the row; it is the cleanest way to browse Kalshi. markets returns individual markets one per row with the full price and order-book detail. Note that Kalshi's raw market list also contains multi-leg "parlay" markets with long, concatenated titles; events mode keeps the headline questions easy to read, and minVolume in markets mode drops illiquid ones.

How do I focus on one topic or series?

Set seriesTicker to a Kalshi series (for example KXELONMARS). Each row carries its seriesTicker and eventTicker, so you can discover series from a broad run and then drill in.

Can I drop illiquid markets?

Yes. In markets mode, set minVolume (for example 1000) to skip markets below that traded volume. The run reports how many markets it scanned to reach your result count, so nothing is hidden.

Can I get closed or settled markets?

Yes. Set status to closed (closed but not yet settled), settled (resolved, with the result) or unopened. This is useful for backtesting: pull settled markets to see how final prices tracked outcomes.

How current is the data?

Every run reads the trade API live, so prices, volume and open interest reflect the market at run time. Prices move while a market is open, so a run is a snapshot — schedule the actor (hourly, daily) to build a time series.

How do I read the price change?

previousPrice is the market's prior price and priceChange is lastPrice − previousPrice, so a positive value means the Yes price rose since the previous observation — a quick read on momentum without you having to store history.

Can I export to CSV, Excel or JSON?

Yes. Download the dataset as JSON, CSV or Excel from the Apify console, or pull it straight from the Apify API or the dataset's .json endpoint for a pipeline or an AI agent.

How is this different from a generic odds scraper?

A generic odds scraper hands you sportsbook lines. Kalshi is a regulated event-contract exchange, so this gives you true market-implied probabilities across politics, economics, science, culture and more — with the Yes/No order book, volume and open interest — not just sports odds.

How does this compare to the Polymarket scraper?

They are siblings: both deliver prediction-market prices as implied probabilities with volume and liquidity. Kalshi is a US-regulated (CFTC) exchange quoted in USD; Polymarket is an on-chain market quoted in USDC. Many teams pull both to compare where the two markets price the same event differently.

🐛 Troubleshooting

• Markets mode is dominated by long concatenated titles — those are Kalshi multi-leg parlay markets; use events mode, a seriesTicker, or minVolume to focus on headline markets.
• An event shows markets without prices — a market with no trades yet has empty bid/ask; its impliedProbability falls back to the mid-price or is omitted.
• Fewer rows than maxResults — maxResults is a cap, not a target; a filter returns what the source currently has.
• Empty result — check status and, if set, that the seriesTicker exists; lower minVolume.

⚠️ Trademark

Independent, third-party tool. Not affiliated with, endorsed by or connected to Kalshi or any related entity. All marks belong to their owners and are used for identification only.

⚖️ Is it legal to scrape this data?

This actor reads publicly available, non-personal market data (questions, prices, volume and open interest) that Kalshi already publishes for public viewing. It collects no private or personal data and requires no login. You are responsible for using the output in line with applicable laws and the terms of the sites you rely on. When in doubt, consult a lawyer.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🧰 More clean data actors: Fox Labs on Apify

Changelog

0.1 — 2026-11-02

• Initial release: events and markets modes from Kalshi's keyless public trade API, with implied probability, Yes/No order book, price change, volume and open interest.