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Prediction Markets Scraper — MCP Server

One actor. Every market. AI-ready.

Scrape live prediction market events, prices, and liquidity across 13 exchanges — Polymarket, Kalshi, Limitless, Metaculus, Smarkets, and more — powered by the pmxtjs unified API.

Runs as an Apify actor for scheduled scraping and one-off runs. Because Apify connects native MCP integration, the data this actor collects is immediately consumable by AI agents like Claude and Cursor — no extra server required.

Supported Exchanges

Apify Platform Capabilities

Running this as an Apify Actor gives you the full Apify infrastructure stack on top of the scraping logic:

• Scheduled runs — trigger on any cron schedule (hourly snapshots, daily digests, weekly archives) via the Apify Console or API.
• Webhooks — fire a POST to any endpoint when a run finishes, enabling downstream pipelines (Slack alerts, database writes, further actors).
• Dataset storage — all output lands in a structured Apify Dataset, queryable via REST API, exportable as JSON/CSV/XLSX, and viewable in the Console.
• Key-value store — the actor writes a run summary (record count, exchanges queried, finish time) to the default KV store after each run.
• Apify API — call the actor programmatically from any language, pass input overrides per run, and read results back without ever touching the Console.
• Actor-to-actor chaining — pipe this actor's dataset output directly into downstream actors (e.g. an LLM summariser, a notifier, a database sync actor) using Apify's dataset getItems API or the Actor.metamorph() pattern.
• MCP integration — Apify's native Model Context Protocol support lets Claude, Cursor, and other AI agents call this actor as a tool directly from the chat — no extra server or wrapper needed.
• Monitoring & alerts — set run-failure notifications and memory/timeout limits in the Console.
• Proxy support — plug in Apify's residential or datacenter proxies if any exchange starts rate-limiting headless requests.

Pricing

This actor uses pay-per-event billing — you only pay for what you actually scrape.

Example costs:

The actor respects your maxTotalChargeUsd budget — if the limit is reached mid-run, it saves whatever was collected and exits cleanly without losing partial results.

Prices are set in the Publication tab of the Apify Console. The events emitted by the code are actor-start and prediction-market-event.

Input

Configure the actor in Apify Console or pass a JSON input file:

{
"exchanges":["Polymarket","Kalshi","Limitless"],
"query":"US election 2026",
"limit":100,
"status":"active",
"category":"politics",
"tags":["US","election"],
"minVolume":50000,
"minLiquidity":10000,
"includeOutcomes":true,
"includeSourceMetadata":false,
"crossVenueDedup":true,
"outputFormat":"events"
}

Input Parameters

Output Formats

events — One record per event, markets nested

{
"id":"...",
"title":"Will Trump nominate Kevin Warsh as Fed Chair?",
"sourceExchange":"Polymarket",
"volume":4820000,
"volume24h":130000,
"category":"politics",
"tags":["US","Fed","economy"],
"markets":[
{
"marketId":"...",
"title":"Kevin Warsh",
"yes":{"price":0.72,"priceChange24h":-0.03},
"no":{"price":0.28,"priceChange24h":0.03},
"liquidity":920000,
"volume":4820000,
"resolutionDate":"2026-01-31T00:00:00Z",
"status":"active"
}
],
"scrapedAt":"2026-06-02T10:00:00Z"
}

markets — One record per market, event info flattened

{
"marketId":"...",
"eventTitle":"Will Trump nominate Kevin Warsh as Fed Chair?",
"title":"Kevin Warsh",
"yes":{"price":0.72},
"no":{"price":0.28},
"volume":4820000,
"liquidity":920000,
"resolutionDate":"2026-01-31T00:00:00Z",
"sourceExchange":"Polymarket",
"scrapedAt":"2026-06-02T10:00:00Z"
}

flat — One record per outcome (Yes / No / multi-outcome)

Best for price comparison, arbitrage detection, and time-series storage.

{
"eventTitle":"Will Trump nominate Kevin Warsh as Fed Chair?",
"marketTitle":"Kevin Warsh",
"outcomeLabel":"Yes",
"price":0.72,
"priceChange24h":-0.03,
"volume":4820000,
"liquidity":920000,
"resolutionDate":"2026-01-31T00:00:00Z",
"status":"active",
"sourceExchange":"Polymarket",
"url":"https://polymarket.com/...",
"scrapedAt":"2026-06-02T10:00:00Z"
}

All prices are normalized to 0.0–1.0 (implied probability) regardless of venue.

Under the Hood

This actor is built on pmxtjs, the TypeScript SDK of the PMXT unified prediction market API — think of it as the ccxt for prediction markets.

Core Data Flow

fetchEvents(params) ← pmxtjs Exchange class
 │
 ▼
 UnifiedEvent[] ← normalized, cross-exchange schema
 │
 ┌───┴──────────────────────────┐
 │ filter(volume, liquidity) │
 │ dedup(crossVenueDedup) │
 └───────────────┬──────────────┘
 │
 Apify Dataset
(events | markets | flat)

Data Model

UnifiedEvent
 ├─ id, title, description, slug
 ├─ url, image, category, tags[]
 ├─ volume, volume24h
 ├─ sourceExchange
 └─ markets: UnifiedMarket[]
 ├─ marketId, title, description
 ├─ resolutionDate, status
 ├─ volume, volume24h, liquidity, openInterest
 ├─ yes: MarketOutcome { price, priceChange24h }
 ├─ no: MarketOutcome { price, priceChange24h }
 └─ outcomes: MarketOutcome[] ← multi-outcome markets

fetchEvents Parameters (pmxtjs)

The actor maps its input directly to pmxtjs fetchEvents params:

await api.fetchEvents({
 query:'Who will be Fed Chair?',// natural-language search
 limit:50,// max results
 status:'active',// active | inactive | closed
 category:'politics',
 tags:['US','Fed'],
// plus: offset, cursor, sort, eventId, slug, series
});