# Kalshi Market Data Scraper — official public API, no login (`pappy-dev/kalshi-markets`) Actor

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.

- **URL**: https://apify.com/pappy-dev/kalshi-markets.md
- **Developed by:** [Backyard Tools](https://apify.com/pappy-dev) (community)
- **Categories:** Business, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 market record scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Kalshi Market Data Scraper — official public API, no login

Live prediction-market data from **Kalshi**, the CFTC-regulated exchange, via its official public
REST endpoint (`api.elections.kalshi.com/trade-api/v2/markets`). Kalshi's own docs say it plainly:
"Kalshi provides several public endpoints that don't require API keys... You can start making
requests immediately!" This actor is a batch client for exactly that endpoint — no account, no
API key, no proxies.

### 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

```json
{
  "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.

# Actor input Schema

## `targets` (type: `array`):

Kalshi のシリーズティッカーを指定（例: KXHIGHNY = NYC最高気温, KXFED = FOMC利上げ, KXPRES = 大統領選）。kalshi.com/markets の URL 末尾や個別マーケットページの series\_ticker から調べられる。複数指定可

## `maxItems` (type: `integer`):

1 run で取得する最大件数

## Actor input object example

```json
{
  "targets": [
    "KXHIGHNY"
  ],
  "maxItems": 2000
}
```

# Actor output Schema

## `items` (type: `string`):

取得した各件（type=item）と、選択した分析の結果（type=analysis）

## `overview` (type: `string`):

件数・平均評点・期間・ネガティブ比率（下側信頼限界つき）

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "targets": [
        "KXHIGHNY"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("pappy-dev/kalshi-markets").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "targets": ["KXHIGHNY"] }

# Run the Actor and wait for it to finish
run = client.actor("pappy-dev/kalshi-markets").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "targets": [
    "KXHIGHNY"
  ]
}' |
apify call pappy-dev/kalshi-markets --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pappy-dev/kalshi-markets"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xIiQw0XemcfF0AWYQ/builds/CImv59SvYSxkH1aI8/openapi.json