Kalshi Prediction Markets Scraper

What does Kalshi Prediction Markets Scraper do?

Kalshi Prediction Markets Scraper collects live and historical prediction-market data from Kalshi, the US-regulated event exchange. Paste a kalshi.com link, a ticker or a category name and get one clean row per market with YES/NO bid, ask and last prices, implied probability, volume, 24-hour volume, open interest, status, close and settlement times, the result once settled, and the market rules. Optionally add each market's recent trades and price history (candlesticks).

It reads Kalshi's official public API, so there is no login, no browser and no scraping of web pages. Try it with the prefilled Economics category: click Start and about 30 markets are ready in a few seconds. Because it runs on the Apify platform, you also get API access, scheduled runs, integrations (Google Sheets, Make, Zapier, Slack, webhooks) and run monitoring.

Why scrape Kalshi?

• Event probabilities as data. A YES price of $0.62 means the market puts the outcome at about 62%. Track Fed decisions, CPI prints, elections, weather, sports and company metrics as numbers you can chart.
• Research and backtesting. Settled markets come with their result and settlement time, and price history reaches up to a year back from the close, so you can test how well the crowd predicted.
• Trading and arbitrage monitoring. Compare Kalshi's odds with other prediction markets, sportsbooks or your own models on a schedule.
• News and media. Quote live odds for an article, a newsletter or a dashboard.
• Liquidity checks. Volume, 24-hour volume, open interest and top-of-book sizes show which markets are actually traded.

How to scrape Kalshi prediction markets

1. Open kalshi.com and go to a category, a market page, or any event you care about.
2. Copy the link from your browser's address bar, for example https://kalshi.com/markets/kxfeddecision/fed-meeting/kxfeddecision-26oct or https://kalshi.com/category/economics/fed.
3. Paste it into Kalshi links, tickers or categories, one per line. Tickers (KXFEDDECISION) and category names (Politics) work too.
4. Choose the market status (open by default) and how many markets to keep per line.
5. Optionally turn on recent trades or price history.
6. Click Start, then download the results when the run finishes.

What you can paste

You paste	You get
A category link or name: https://kalshi.com/category/politics, Crypto, Climate	Markets from the category's most traded series first.
A sub-category link: https://kalshi.com/category/economics/fed, https://kalshi.com/category/commodities/natural-gas, https://kalshi.com/category/crypto/frequency/daily	Markets of that sub-category. A link that names one of Kalshi's tags (fed, soccer) reads that tag, and a league below a tag (soccer/epl) reads the tag's series whose names match it, or the whole tag if none do. A topic without a tag (natural-gas, midterms) reads the series whose names match it; if none match, the link is listed in FAILED_INPUTS with the reason and nothing is saved or charged for it (paste a series link from that page instead). A frequency/... link reads the series that repeat that often.
A series link or ticker: https://kalshi.com/markets/kxfeddecision, KXFEDDECISION	Every market of the series, all of its events.
An event link or ticker: https://kalshi.com/markets/kxfeddecision/fed-meeting/kxfeddecision-26oct, KXFEDDECISION-26OCT	Every market (outcome) of that event.
A market ticker: KXFEDDECISION-26OCT-H0	That one market, whatever its status.

Category names that work: Politics, Elections, Sports, Culture (Entertainment), Crypto, Climate (Climate and Weather), Economics, Mentions, Companies, Financials, Science (Science and Technology), Commodities, Health, World, Social, Transportation. Links without https:// work as well.

Input

Everything is set on the Input tab. In JSON, the input looks like this:

{
    "sources": [
        "https://kalshi.com/category/economics",
        "https://kalshi.com/markets/kxfeddecision/fed-meeting/kxfeddecision-26oct",
        "KXBTCD"
    ],
    "status": "open",
    "max_markets": 50,
    "include_trades": false,
    "include_price_history": true,
    "price_history_interval": "day",
    "price_history_days": 30
}

Field	What it does
sources	Kalshi links, tickers or category names, one per line (see the table above). API callers can also send {"url": "..."} objects.
status	open (default), closed (trading ended, result not settled yet), settled (result known) or all. Applies to categories, series and events; a market ticker is always saved.
max_markets	Stops after this many markets for each line. Default: 200. A category reads its series with the most total volume first; for open markets, each series gives its markets traded most in the last 24 hours first. With closed, a category gives the markets that closed most recently first.
include_trades	Adds each market's newest trades as rows with "type": "trade". Default: off.
max_trades_per_market	How many of the newest trades per market. Default: 100.
include_price_history	Adds each market's price history as rows with "type": "candle". Default: off.
price_history_interval	day (default), hour or minute.
price_history_days	How many days of history, counting back from now, or from the close for a closed market. Default: 30.
proxyConfiguration	Leave empty. Kalshi's API answers directly; if it ever refuses, the Actor retries through Apify Proxy on its own.

Output

Each market becomes one row. Here is a real example:

{
    "type": "market",
    "ticker": "KXFEDDECISION-26OCT-H0",
    "event_ticker": "KXFEDDECISION-26OCT",
    "series_ticker": "KXFEDDECISION",
    "title": "Will the Federal Reserve Hike rates by 0bps at their October 2026 meeting?",
    "subtitle": "Fed maintains rate",
    "event_title": "Fed decision in Oct 2026?",
    "event_subtitle": "On Oct 28, 2026",
    "series_title": "Fed meeting",
    "category": "Economics",
    "status": "active",
    "yes_bid": 0.84,
    "yes_ask": 0.85,
    "no_bid": 0.15,
    "no_ask": 0.16,
    "last_price": 0.85,
    "last_price_24h_ago": 0.83,
    "implied_probability": 0.845,
    "yes_bid_size": 1520.0,
    "yes_ask_size": 310.27,
    "volume": 3963721.18,
    "volume_24h": 70951.01,
    "open_interest": 1475569.95,
    "result": null,
    "settlement_value": null,
    "open_time": "2025-09-29T14:00:00Z",
    "close_time": "2026-10-28T17:59:00Z",
    "expected_expiration_time": "2026-10-28T18:05:00Z",
    "settlement_time": null,
    "can_close_early": true,
    "rules": "If the Federal Reserve does a Hike of 0bps on October 28, 2026, then the market resolves to Yes.",
    "url": "https://kalshi.com/markets/kxfeddecision/fed-meeting/kxfeddecision-26oct",
    "scraped_at": "2026-10-10T14:12:56Z"
}

With trades or price history on, rows like these are saved after the market they belong to (match them on ticker):

{"type": "trade", "ticker": "KXELONMARS-99", "event_ticker": "KXELONMARS-99", "trade_id": "6da6bc8c-b367-a775-5f6c-9e70e98df6d4", "created_time": "2026-10-07T20:20:17Z", "yes_price": 0.09, "no_price": 0.91, "count": 35.0, "taker_side": "no", "is_block_trade": false}
{"type": "candle", "ticker": "KXFEDDECISION-26OCT-H0", "event_ticker": "KXFEDDECISION-26OCT", "interval": "1h", "period_end": "2026-10-10T14:00:00Z", "price_open": 0.85, "price_high": 0.85, "price_low": 0.84, "price_close": 0.85, "price_mean": 0.8457, "yes_bid_close": 0.84, "yes_ask_close": 0.85, "volume": 135.29, "open_interest": 1475569.95}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. The Output tab has four views: Markets, Market details, Trades and Price history. Filter on the type column to separate markets, trades and candles in a spreadsheet.

Data fields

Prices are in US dollars per contract, from 0 to 1. A YES contract pays $1 if the market resolves YES, so a price of 0.62 is 62 cents and also a 62% implied chance. Volumes and open interest are numbers of contracts (Kalshi allows fractional contracts). Times are ISO 8601 in UTC.

Market rows ("type": "market")

Field	Description
ticker	The market's ticker.
event_ticker, series_ticker	The event and series the market belongs to.
title	The market's question.
subtitle	The outcome the YES side stands for, such as "Above 4.50%" or "Fed maintains rate".
event_title, event_subtitle	The event's title and date or detail line.
series_title	The series name, such as "Fed meeting".
category	Kalshi's category, such as Economics or Sports.
status	Kalshi's status: active (open for trading), initialized, inactive, closed, determined, disputed, amended or finalized (settled).
yes_bid, yes_ask	Best price to sell and to buy YES, in dollars. 0 means nobody is bidding.
no_bid, no_ask	Best price to sell and to buy NO, in dollars.
last_price	Last traded YES price, in dollars.
last_price_24h_ago	The last traded YES price as it stood 24 hours ago.
implied_probability	0 to 1. The settled result (1 for YES, 0 for NO) once known; otherwise the middle of the YES bid and ask when both are quoted; otherwise the last traded price.
yes_bid_size, yes_ask_size	Contracts waiting at the best YES bid and ask.
volume, volume_24h	Contracts traded in total and in the last 24 hours.
open_interest	Contracts currently held.
result	yes, no or scalar once the market is determined; empty before.
settlement_value	What one YES contract paid out, in dollars, once settled.
open_time, close_time	When trading opened and closes (or closed).
expected_expiration_time	When Kalshi expects the outcome to be known.
settlement_time	When the market settled.
can_close_early	Whether trading can stop before close_time if the event happens.
rules	The main resolution rule in plain language.
url	The event's page on kalshi.com.
scraped_at	When the prices were read.

Trade rows ("type": "trade")

ticker, event_ticker, trade_id, created_time, yes_price and no_price (dollars), count (contracts), taker_side (yes or no) and is_block_trade. Newest trades come first.

Price history rows ("type": "candle")

ticker, event_ticker, interval (1d, 1h or 1m), period_end, price_open, price_high, price_low, price_close and price_mean (traded YES prices in the period, empty when nothing traded), yes_bid_close and yes_ask_close (the quotes at the end of the period), volume and open_interest. Kalshi leaves out periods in which nothing changed, so an hourly history can have fewer than 24 rows a day.

How much does it cost to scrape Kalshi?

The Actor uses pay-per-event pricing: you pay for each row saved, and the exact price per row is on the Pricing tab. Sources that return nothing are never charged, and if you set a maximum cost for a run, the Actor stops as soon as it is reached.

Because each trade and each price-history period is its own row, trades and price history multiply the row count. Plan with these examples:

Run	Rows
30 open markets, no extras	30
200 markets + 100 newest trades each	up to 20,200
50 markets + 30 days of daily price history	up to 1,550
50 markets + 30 days of hourly price history	up to 36,050
10 markets + 7 days of minute price history	up to 100,810

The Actor itself is light: it calls Kalshi's free public API with no proxy and 512 MB of memory, and a 30-market run finishes in under 10 seconds.

Tips for scraping Kalshi

• Start narrow. A sub-category link (/category/economics/inflation) or a series ticker gives you exactly the markets you want, and fewer rows to pay for.
• Use daily price history unless you need intraday moves; hourly and minute histories are far larger.
• Schedule runs (for example every hour) to build your own time series of odds; scraped_at tells the runs apart.
• Settled markets: set status to settled with a series ticker to collect the full record of past outcomes, including markets Kalshi has moved to its archive.
• Combo (parlay) markets are left out of category and series lists; paste a combo's market ticker to get it.
• The same market reached through two lines is saved once.

FAQ, disclaimers and support

Do I need a Kalshi account or API key? No. The Actor reads Kalshi's public market data API, which needs no login.

Why does my event return no markets? With the default open status, an event whose markets have all closed or settled has nothing open. Set status to all (or settled). Sources that return nothing are listed with the reason in the FAILED_INPUTS record of the run's key-value store, and the run's status message gives the counts. A run fails only when Kalshi could not be reached for every source.

Why is liquidity not a field? Kalshi no longer publishes a liquidity figure. Use yes_bid_size, yes_ask_size, volume_24h and open_interest instead.

Is it legal to scrape Kalshi? This Actor reads public market data that Kalshi publishes through its official API. It collects no personal data: trades are anonymous. You are still responsible for making sure your use complies with Kalshi's terms and the laws that apply to you. This Actor is not affiliated with or endorsed by Kalshi, and its data is not trading advice.

Found a problem or need a custom solution? Open an issue on the Issues tab and we will look into it. Custom data feeds are available on request.