# Resolved Prediction Markets Archive

**Use case:** 

Access a comprehensive archive of resolved prediction markets from Polymarket and Kalshi, featuring data on 200 closed events. This task aggregates real-time pricing and liquidity, providing valuable insights for backtesting and analysis. Ideal for data-driven decision-making in prediction market strategies.

## Input

```json
{
  "exchanges": [
    "Polymarket",
    "Kalshi"
  ],
  "query": "US election 2026",
  "limit": 200,
  "status": "closed",
  "category": "politics",
  "tags": [
    "US",
    "election"
  ],
  "minVolume": 10000,
  "minLiquidity": 5000,
  "includeOutcomes": true,
  "includeSourceMetadata": false,
  "crossVenueDedup": false,
  "outputFormat": "flat"
}
```

## Output

```json
{
  "eventTitle": {
    "label": "Event",
    "format": "string"
  },
  "marketTitle": {
    "label": "Market",
    "format": "string"
  },
  "outcomeLabel": {
    "label": "Outcome",
    "format": "string"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "priceChange24h": {
    "label": "24h change",
    "format": "number"
  },
  "sourceExchange": {
    "label": "Exchange",
    "format": "string"
  },
  "volume": {
    "label": "Volume (USD)",
    "format": "number"
  },
  "liquidity": {
    "label": "Liquidity (USD)",
    "format": "number"
  },
  "resolutionDate": {
    "label": "Resolves",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "url": {
    "label": "Link",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Prediction Markets Scraper - Polymarket, Kalshi, Limitless Actor is ready to run with the inputs already set for "Resolved Prediction Markets Archive". [Sign up or log in](https://console.apify.com/create-task-from-example/ID1WxGNHiEkMAv7Io) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Resolved Prediction Markets Archive" task

The Prediction Markets Scraper - Polymarket, Kalshi, Limitless Actor will start running based on the input automatically. You can also change all the input fields, like exchanges, search query, and more, to match your specific use case.

### 3. Receive the "Resolved Prediction Markets Archive" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as event, market, outcome, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Resolved Prediction Markets Archive" task via API](https://apify.com/jan.turon/prediction-markets-scraper-mcp-server.md).

## About this Actor

This example demonstrates how to use [Prediction Markets Scraper - Polymarket, Kalshi, Limitless](https://apify.com/jan.turon/prediction-markets-scraper-mcp-server.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/jan.turon/prediction-markets-scraper-mcp-server.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/jan.turon/prediction-markets-scraper-mcp-server.md

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`).