Pricing

$1.00 / 1,000 market record scrapeds

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Kalshi Market Data Scraper — official public API, no login

Try for free

Live market data from Kalshi (CFTC-regulated prediction market exchange) via the official public REST API — no login, no API key. Query any series ticker and get every market: title, status, yes/no bid-ask, last price, volume, open interest, close time, settlement rules. No personal data.

Pricing

$1.00 / 1,000 market record scrapeds

Rating

0.0

(0)

Developer

Backyard Tools

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Tested (2026-09-02)

Series ticker	Markets returned	Pages	Time
`KXHIGHNY` (NYC daily high temperature)	420	3 (200+200+20)	~2.5s

Pagination follows Kalshi's own cursor until it comes back empty — no fixed page count assumed.

Kalshi API — input

{
  "targets": ["KXHIGHNY", "KXFED"],
  "maxItems": 2000
}

Each target is a series ticker — the code Kalshi uses to group related markets (e.g. all daily NYC temperature markets share the KXHIGHNY series). Find one from any market's URL on kalshi.com/markets. A series with no markets returns 0 items for that target only (no charge).

Kalshi API — output fields

One dataset item per market:

Field
`ticker` / `event_ticker` / `series_ticker`	market, event, and series identifiers
`title`	market question, e.g. "Will the maximum temperature be >82° on Sep 2, 2026?"
`status`	`unopened` / `open` / `closed` / `settled`
`market_type`	e.g. `binary`
`yes_bid_dollars` / `yes_ask_dollars` / `no_bid_dollars` / `no_ask_dollars`	current order book best prices
`last_price_dollars` / `previous_price_dollars`	last traded price and prior close
`volume_fp` / `volume_24h_fp`	total and 24h contract volume
`open_interest_fp`	open interest
`liquidity_dollars`	resting liquidity value
`open_time` / `close_time` / `expiration_time`	ISO 8601 lifecycle timestamps
`result`	settlement outcome once settled (`yes` / `no` / empty if unsettled)

No personal data: these are market/pricing fields only. Kalshi does not expose individual traders' identities or order history through this endpoint.

Why this over Kalshi's own site

kalshi.com is built for one market at a time in a browser. This actor runs a batch of series tickers in one call and hands back structured rows — for building market monitors, historical price trackers, or quant research pipelines that need this in a dataset, not a web page.

Use Cases

Prediction-market monitoring — track price and volume moves across a series of markets in near real time
Quant research pipelines — feed historical price, volume, and open-interest fields into a model
Event-outcome tracking — watch status / result to see when markets settle and how
Liquidity screening — filter markets by liquidity_dollars / volume_24h_fp to find tradeable depth

Pricing

Pay per event: $1.00 per 1,000 markets collected. Nothing else.

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