# Polymarket Prediction Market Radar (`adaptive_nightmare/polymarket-prediction-radar`) Actor

Extract prediction markets, probability odds, outcomes, volume, and resolution dates from Polymarket without API keys or browser overhead.

- **URL**: https://apify.com/adaptive_nightmare/polymarket-prediction-radar.md
- **Developed by:** [Darim Quraishi](https://apify.com/adaptive_nightmare) (community)
- **Categories:** Business, Marketing, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.95 / 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.

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 prediction market radar

Extract prediction markets, current probability prices, outcomes, and resolution timelines from Polymarket without API keys or browser overhead.

### What data is collected

Each record contains:

- Condition identifier and question title
- Detailed market resolution rules
- Outcoming token odds and probability prices
- Market active and closed status
- Scheduled resolution date
- Polymarket web URL and associated tags
- Scrape timestamp

### Input options

- Search Keyword (query): Filter questions by keyword such as "Fed", "Bitcoin", or "Election".
- Active Markets Only (activeOnly): Return only currently open contracts (default: true).
- Maximum Markets (maxMarkets): Number of markets to extract (default: 50, maximum: 500).

### Sample output

```json
{
  "id": "0x3f5c9...",
  "question": "Fed cuts interest rates in May 2026?",
  "description": "This market resolves to Yes if the Federal Reserve cuts interest rates...",
  "marketSlug": "fed-cuts-interest-rates-may-2026",
  "url": "https://polymarket.com/event/fed-cuts-interest-rates-may-2026",
  "active": true,
  "closed": false,
  "endDate": "2026-05-31T23:59:59Z",
  "tokens": [
    { "outcome": "Yes", "price": 0.34, "winner": false },
    { "outcome": "No", "price": 0.66, "winner": false }
  ],
  "tags": ["Finance", "Fed", "Macro"],
  "scrapedAt": "2026-10-24T06:00:00.000Z"
}
```

### Pricing and compute efficiency

This scraper runs in a lightweight 256 MB RAM container using direct HTTP streaming. Typical runs finish in 2 to 4 seconds, consuming approximately 0.0002 compute units per execution.

# Actor input Schema

## `query` (type: `string`):

Filter markets by keyword (for example: Fed, Bitcoin, AI, or Election). Leave empty to fetch active markets.

## `activeOnly` (type: `boolean`):

Return only currently active and open markets.

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

Maximum number of markets to return.

## Actor input object example

```json
{
  "query": "",
  "activeOnly": true,
  "maxMarkets": 50
}
```

# 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("adaptive_nightmare/polymarket-prediction-radar").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("adaptive_nightmare/polymarket-prediction-radar").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 adaptive_nightmare/polymarket-prediction-radar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,adaptive_nightmare/polymarket-prediction-radar"
        }
    }
}
```

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/rjkNmFR5DKSXridBg/builds/p8F3RQaxqjR5vxw5p/openapi.json