# Polymarket Scraper - Prediction Market Odds & Volume (`aolmo/polymarket-markets`) Actor

Prediction markets from Polymarket through its public read API, no key or wallet: top markets by 24-hour volume, a topic tag or a single event, with question, outcomes, probabilities, bid and ask, volume, liquidity and dates. Scheduled runs report odds changes. Data only. $0.0005 per market.

- **URL**: https://apify.com/aolmo/polymarket-markets.md
- **Developed by:** [Antonio del Olmo Tena](https://apify.com/aolmo) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 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/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

Read Polymarket prediction market data without an API key or a wallet. Choose the markets with most volume in the last 24 hours, a topic such as politics or crypto, or a single event, and the Actor returns one row per market with the question, outcomes, probabilities, last trade, bid and ask, spread, volume, liquidity, dates and resolution rules. Schedule it and markets whose odds moved since the previous run are reported with the difference. Forecasting research, news and sentiment signals, dashboards and datasets at $0.0005 per market.

This Actor only reads public data. It does not place orders or connect to any wallet, and its output is not financial advice.

### What you get

**Market** (one row each): `id`, `question`, `url`, `eventTitle`, `eventSlug`, `outcomes`, `probabilities`, `leadingOutcome`, `leadingProbability`, `lastTradePrice`, `bestBid`, `bestAsk`, `spread`, `volume`, `volume24h`, `volume1w`, `liquidity`, `startDate`, `endDate`, `active`, `closed`, `resolutionSource`, `description`, `position`.

**Source** on every row: `source`.

**Changes** on scheduled runs: `probabilityChange` is the change of the first outcome since the previous run (null on the first run).

Events that do not exist return a row with an `error` field and are not charged.

### How to use it

1. Open the **Input** tab.
2. Add **Sources**, one per line (up to 200 per run): `top` for the markets with most 24-hour volume, `tag:politics` or `tag:crypto` for a topic, or an event as `https://polymarket.com/event/<slug>` or its slug.
3. Set **Max markets per source** (up to 500).
4. Click **Start** and export the rows as JSON, CSV or Excel.
5. Schedule the Actor to follow how the odds move.

### Input

```json
{
  "sources": ["top", "tag:politics"],
  "maxMarkets": 50
}
```

### Output

```json
{
  "source": "top",
  "position": 1,
  "id": "6430628",
  "question": "Counter-Strike: Nemiga vs FURIA (BO5) - PGL Masters Bucharest Playoffs",
  "url": "https://polymarket.com/event/cs2-nemi1-furia-2026-10-31",
  "eventTitle": "Counter-Strike: Nemiga vs FURIA (BO5) - PGL Masters Bucharest Playoffs",
  "eventSlug": "cs2-nemi1-furia-2026-10-31",
  "outcomes": ["Nemiga", "FURIA"],
  "probabilities": [0.405, 0.595],
  "leadingOutcome": "FURIA",
  "leadingProbability": 0.595,
  "lastTradePrice": 0.37,
  "bestBid": 0.4,
  "bestAsk": 0.41,
  "spread": 0.01,
  "volume": 2980708.35,
  "volume24h": 3013342.67,
  "volume1w": 3013342.67,
  "liquidity": 30308.96,
  "startDate": "2026-10-30T18:45:22Z",
  "endDate": "2026-10-31T17:00:00Z",
  "active": true,
  "closed": false,
  "resolutionSource": "https://hltv.org",
  "description": "This market refers to the Counter-Strike Grand final match...",
  "probabilityChange": null,
  "timestamp": "2026-10-31T10:00:00.000Z"
}
```

### Pricing

Pay per event: **$0.0005 per market** and **$0.0005 per market whose odds moved** on a scheduled run. Unknown events are free. Top 50 markets every hour cost at most $1.20 a day.

### Limits and notes

- Probabilities are the outcome prices published by Polymarket, from 0 to 1.
- Order books and trade history are not included.
- A `tag:` source reads the 20 open events with most 24-hour volume in that topic and returns their markets up to your limit.

### Related Actors

- **Yahoo Finance**: quotes and price history.
- **Google News**: news behind a move.
- **Finviz Screener**: stock screens.

# Actor input Schema

## `sources` (type: `array`):

One per line: top for the markets with most 24-hour volume, tag:politics or tag:crypto for a topic, or an event as https://polymarket.com/event/<slug> or its slug. Up to 200 per run.

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

Up to 500.

## `product` (type: `string`):

Internal. Leave as is.

## Actor input object example

```json
{
  "sources": [
    "top",
    "tag:politics"
  ],
  "maxMarkets": 50,
  "product": "polymarket-markets"
}
```

# Actor output Schema

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

Dataset items: url, changed, events, data, timestamp and error (when the target failed).

# 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 = {
    "sources": [
        "top",
        "tag:politics"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("aolmo/polymarket-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 = { "sources": [
        "top",
        "tag:politics",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("aolmo/polymarket-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 '{
  "sources": [
    "top",
    "tag:politics"
  ]
}' |
apify call aolmo/polymarket-markets --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,aolmo/polymarket-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/50Qzvukve6GB2U2yr/builds/DQZciWmWScC6IcxC9/openapi.json