# Polymarket price history: daily closes for settled markets

**Use case:** 

The 500 most recently settled Polymarket markets (over $10k volume) with the full daily price series of the yes token from market open to resolution, plus the result. Straight from Polymarket's public CLOB, no subgraph, no API key. Backtest calibration, or schedule it with archiveDatasetName to build your own history.

## Input

```json
{
  "platforms": [
    "polymarket"
  ],
  "status": "settled",
  "keywords": [],
  "categories": [],
  "minVolume": 10000,
  "minLiquidity": 0,
  "maxItems": 500,
  "includeOrderbook": false,
  "lookbackDays": 7,
  "candlesticks": "1d",
  "maxCandlesPerMarket": 5000,
  "includeTrades": false,
  "maxTradesPerMarket": 1000,
  "excludeMultiLeg": true,
  "kalshiSeriesTickers": [],
  "polymarketTagIds": [],
  "polymarketSortBy": "volume24hr",
  "includeComments": false,
  "maxCommentsPerEvent": 500,
  "includeHolders": false,
  "maxHoldersPerOutcome": 20,
  "language": "en",
  "archiveOnly": false
}
```

## Output

```json
{
  "platform": {
    "label": "Platform"
  },
  "question": {
    "label": "Question"
  },
  "category": {
    "label": "Category"
  },
  "status": {
    "label": "Status"
  },
  "yesPrice": {
    "label": "Yes"
  },
  "noPrice": {
    "label": "No"
  },
  "yesBid": {
    "label": "Yes bid"
  },
  "yesAsk": {
    "label": "Yes ask"
  },
  "volume": {
    "label": "Volume"
  },
  "volume24h": {
    "label": "Volume24h"
  },
  "liquidity": {
    "label": "Liquidity"
  },
  "closeTime": {
    "label": "Close time"
  },
  "result": {
    "label": "Result"
  },
  "url": {
    "label": "Market",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Prediction Markets Scraper – Kalshi + Polymarket Odds & Prices](https://apify.com/gratified_ashram/prediction-markets-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/gratified_ashram/prediction-markets-scraper.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/gratified_ashram/prediction-markets-scraper.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`).