# Kalshi Prediction Markets Scraper (`rocketapi/kalshi-markets`) Actor

Extract Kalshi prediction market data: question, category, yes/no prices, implied probability, volume, open interest, expiration and status. Filter by category or ticker. Clean JSON, one row per market. Failed runs are not billed.

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

## Pricing

$8.00 / 1,000 market 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/platform/actors/running/actors-in-store#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 Markets Actor

Apify actor that scrapes prediction market data from the public Kalshi REST API (`api.elections.kalshi.com`).\
Works in two modes:

- **Mode A** – filter by category (or all categories) with pagination.
- **Mode B** – fetch specific market tickers.

The actor outputs normalized market records and charges `market-scraped` events for pay‑per‑event billing.

### Input

| Field      | Type   | Description                                                                 |
|------------|--------|-----------------------------------------------------------------------------|
| category   | select | Kalshi category (empty = all categories). Ignored if ticker is set.        |
| ticker     | text   | Comma/space/newline separated list of market tickers. If set, enables Mode B. |
| status     | select | Market status for Mode A: `open`, `closed`, `settled`. Default `open`.      |
| maxItems   | number | Maximum number of market records to return. Default `100`.                 |
| proxyConfiguration | object | Optional proxy configuration to override the default Apify Proxy settings. |

### Output

Each pushed record follows the schema defined in `output_schema.json` and includes fields such as `ticker`, `title`, `yesBidDollars`, `volume`, etc., plus a `scrapedAt` timestamp.

### Proxy

The actor automatically uses Apify Proxy (RESIDENTIAL group) unless overridden via `proxyConfiguration` in the input.

### Notes

- No headless browser or HTML parsing is used.
- The actor respects rate limits via retries with exponential backoff.
- Empty responses are treated as legitimate results, not as blocking.
- Blocking (HTTP 403/429 or non‑JSON responses) triggers up to 3 retries; after that the actor fails with an error.

***

Built with Apify SDK v3, Node.js 20 (ESM).

# Actor input Schema

## `category` (type: `string`):

Kalshi market category. Ignored if a ticker is given. Empty = all categories.

## `ticker` (type: `string`):

One or more market tickers, comma/space separated (e.g. KXELONMARS-99). If set, category and status are ignored.

## `status` (type: `string`):

Market status filter. Used only when ticker is empty.

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

Maximum number of market records to return.

## `proxyConfiguration` (type: `object`):

Apify Proxy is used by default (residential group).

## Actor input object example

```json
{
  "category": "",
  "ticker": "",
  "status": "open",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("rocketapi/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("rocketapi/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 '{}' |
apify call rocketapi/kalshi-markets --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rocketapi/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/TdHtWwScYHeTXfgZo/builds/1ypmkpnx20rLgYNWk/openapi.json