# Polymarket & Kalshi Sports Prediction Markets (`mrdoe/polymarket-kalshi-sports-markets`) Actor

Sports prediction-market prices from Polymarket and Kalshi: implied probability, decimal odds, bid/ask, volume, liquidity and close date for NFL, NBA, soccer, UFC, tennis and esports markets. No login.

- **URL**: https://apify.com/mrdoe/polymarket-kalshi-sports-markets.md
- **Developed by:** [MrDoe](https://apify.com/mrdoe) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

![Polymarket & Kalshi Sports Prediction Markets - Polymarket and Kalshi sports prediction market prices](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/polymarket-kalshi-sports-markets--hero.png)

### What does Polymarket & Kalshi Sports Prediction Markets do?

Polymarket & Kalshi Sports Prediction Markets collects live sports market prices from Polymarket and Kalshi in one dataset. Each row is one market with the question, its outcomes, the implied probability and decimal odds of every outcome, best bid and ask, traded volume, liquidity or open interest, close date and a link to the market. Filter by keyword such as NFL, NBA or UFC, or leave the filter empty to get every open sports market.

### Why use Polymarket & Kalshi Sports Prediction Markets?

- Both platforms in a single run and a single schema, ready to compare.
- Every outcome comes with implied probability and decimal odds, so it lines up with sportsbook prices.
- Settled and closed markets are dropped, so rows are live markets only.
- Keyword filter and minimum-volume filter remove noise.
- Works logged out; no account or API key needed.

### What makes this different

Most prediction-market scrapers cover one platform and return raw payloads. This Actor puts Polymarket and Kalshi into one flat schema, converts every outcome price into implied probability and decimal odds, and drops settled markets so the dataset only contains markets you can still trade.

### How it works

![Polymarket & Kalshi Sports Prediction Markets workflow: your input, collection, output](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/polymarket-kalshi-sports-markets--how-it-works.png)

1. **Your input** — choose a platform and optional keywords such as NFL or UFC.
2. **The Actor collects it** — the Actor reads the open sports markets and drops settled ones.
3. **Your output** — you get one clean row per market with probabilities, odds, volume and links.

### What data can you extract?

The dataset has 18 fields per row:

| Field | Type | Description |
|---|---|---|
| `platform` | string | polymarket or kalshi. |
| `marketId` | string | Platform market identifier. |
| `eventId` | string | Platform event identifier. |
| `eventTitle` | string | Title of the event the market belongs to. |
| `question` | string | The market question. |
| `tags` | array | Sport or series tags. |
| `outcomes` | array | Outcomes with name, price (probability), decimalOdds, bid and ask. |
| `bestBid` | number | Best bid for the first outcome. |
| `bestAsk` | number | Best ask for the first outcome. |
| `volumeUnit` | string | usd or contracts. |
| `volume` | number | Total traded volume. |
| `volume24h` | number | Volume in the last 24 hours. |
| `liquidity` | number | Liquidity on the market. |
| `openInterest` | number | Open interest (Kalshi). |
| `endDate` | string | Close or end date (ISO 8601). |
| `status` | string | open, closed or active. |
| `url` | string | Link to the market. |
| `scrapedAt` | string | Collection time (ISO 8601). |

### How to use Polymarket & Kalshi Sports Prediction Markets

![Polymarket & Kalshi Sports Prediction Markets input form](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/polymarket-kalshi-sports-markets--input.png)

1. Open the Actor and go to the **Input** tab.
2. Choose a **Platform**, add optional **Keywords** such as `nfl`, and set **Max markets per platform**.
3. Optionally set filters and a **Max results** limit.
4. Click **Start**. A default run finishes in under a minute.
5. Open the **Output** tab, then download the dataset or connect it to your tools.

### Input Parameters

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `platform` | string | No | `"both"` | Which prediction market to read. |
| `searchTerms` | array | No | `[]` | Only return markets whose title or category contains one of these words, for example NBA, NFL, Premier League, UFC, tennis. Leave empty for every sport. |
| `maxMarkets` | integer | No | `5` | Maximum number of markets to return from each platform. Default is 5 for a quick test; set 0 to return everything available. |
| `minVolume` | number | No | — | Skip thin markets below this traded volume (dollars on Polymarket, contracts on Kalshi). |
| `proxyConfiguration` | object | No | `{"useApifyProxy":false}` | Optional. Both platforms work without a proxy in most regions. |

### Output Data

![Polymarket & Kalshi Sports Prediction Markets dataset table](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/polymarket-kalshi-sports-markets--output.png)

Prices are probabilities between 0 and 1; `decimalOdds` is 1 divided by the probability. `volume` is in dollars for Polymarket and contracts for Kalshi (see `volumeUnit`). Fields that do not apply to a platform are `null`.

![Polymarket & Kalshi Sports Prediction Markets field map of one record](https://api.apify.com/v2/key-value-stores/kE36venAoVchGsE6b/records/polymarket-kalshi-sports-markets--fields.png)

A real dataset item:

```json
{
  "platform": "polymarket",
  "marketId": "1357371",
  "eventId": "202857",
  "eventTitle": "Pro Football: 2027 Champion",
  "question": "Will the Arizona Cardinals win the 2027 NFL league championship?",
  "tags": [
    "nfl",
    "football",
    "super-bowl",
    "nfl-team-futures"
  ],
  "outcomes": [
    {
      "name": "Yes",
      "price": 0.0045,
      "decimalOdds": 222.222,
      "bid": null,
      "ask": null
    },
    {
      "name": "No",
      "price": 0.9955,
      "decimalOdds": 1.005,
      "bid": null,
      "ask": null
    }
  ],
  "bestBid": 0.004,
  "bestAsk": 0.005,
  "volumeUnit": "usd",
  "volume": 1437136.490401,
  "volume24h": 13326.9,
  "liquidity": 546634.69546,
  "openInterest": null,
  "endDate": "2027-03-31T23:55:00Z",
  "status": "open",
  "url": "https://polymarket.com/event/pro-football-2027-champion-20260729185915366",
  "scrapedAt": "2026-09-21T10:54:24.832Z"
}
```

### Usage Examples

#### All open NFL markets

```json
{
  "platform": "both",
  "searchTerms": [
    "nfl"
  ],
  "maxMarkets": 50
}
```

#### Top Kalshi sports markets

```json
{
  "platform": "kalshi",
  "maxMarkets": 100,
  "minVolume": 1000
}
```

#### Polymarket soccer markets

```json
{
  "platform": "polymarket",
  "searchTerms": [
    "premier league",
    "champions league"
  ]
}
```

### Tips for Best Results

- Compare `decimalOdds` with a sportsbook price to spot gaps.
- Use minimum volume to skip illiquid markets whose price is not meaningful.
- Schedule the Actor hourly to keep a price history.
- Default is 5 results for a fast test. Set the max to 0 to return everything available.

### Known Limitations

- Prices are a snapshot at collection time.
- Kalshi volume is in contracts and Polymarket volume is in dollars, so they are not directly comparable.
- Only open sports markets are returned; settled markets are excluded.
- Platform availability varies by country.

### Integrations

Run it from the Apify API, on a schedule, or from a webhook. Send results straight to Google Sheets, Make, Zapier, Slack or your own database with Apify's built-in integrations.

### Export Formats

Download the dataset as JSON, CSV, Excel, XML, HTML table or RSS from the **Output** tab or the API.

### Frequently Asked Questions

#### Does it need an account or API key?

No. It reads public market data and needs no login.

#### What does the price mean?

The price is the market's implied probability for that outcome, between 0 and 1. `decimalOdds` converts it to sportsbook-style decimal odds.

#### Am I charged for failed results?

No. You are only charged for markets that are written to the dataset.

#### Do I need an account or login?

No. The Actor reads public market data and needs no account or API key.

#### Am I charged for failed runs or empty results?

You are only charged for results that are actually written to the dataset.

#### Can I run it on a schedule?

Yes. Create a Task with your input and add a schedule in Apify Console. With monitor mode on, each scheduled run returns only what changed since the previous one.

### Support

Questions or a missing field? Open an issue from the **Issues** tab on this Actor's page and it will be looked at.

### Legal / Responsible Use

You are responsible for using the collected data in line with each platform's terms and the laws that apply to you. The Actor collects publicly displayed market prices only.

# Actor input Schema

## `platform` (type: `string`):

Which prediction market to read.

## `searchTerms` (type: `array`):

Only return markets whose title or category contains one of these words, for example NBA, NFL, Premier League, UFC, tennis. Leave empty for every sport.

## `maxMarkets` (type: `integer`):

Maximum number of markets to return from each platform. Default is 5 for a quick test; set 0 to return everything available.

## `minVolume` (type: `number`):

Skip thin markets below this traded volume (dollars on Polymarket, contracts on Kalshi).

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

Optional. Both platforms work without a proxy in most regions.

## Actor input object example

```json
{
  "platform": "both",
  "searchTerms": [
    "nfl"
  ],
  "maxMarkets": 5,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "searchTerms": [
        "nfl"
    ],
    "maxMarkets": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("mrdoe/polymarket-kalshi-sports-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 = {
    "searchTerms": ["nfl"],
    "maxMarkets": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("mrdoe/polymarket-kalshi-sports-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 '{
  "searchTerms": [
    "nfl"
  ],
  "maxMarkets": 5
}' |
apify call mrdoe/polymarket-kalshi-sports-markets --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mrdoe/polymarket-kalshi-sports-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/x6z4xdqbt6VRvSHRv/builds/4P3gYPST6HFAsC1S2/openapi.json