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Polymarket Markets Scraper — Prices, Liquidity & Order Books

Live Polymarket market data as clean JSON: questions, outcome prices, 24h volume, liquidity, end dates, neg-risk flags, and — uniquely — full CLOB order book snapshots with best bid/ask and dollar depth per outcome.

Why this one

• Token IDs parsed correctly — Polymarket's gamma API returns clobTokenIds as a JSON string; naive scrapers double-encode it and hand you garbage. This actor parses it properly so every record is API-ready.
• Order book depth — not just the midpoint: best bid, best ask, spread, and how many dollars are actually sitting at the touch. Built by a team that runs live trading systems on this exchange.
• Real filters — 24h volume, liquidity, text search, sort by volume/liquidity/end date.

Output example

{
"question":"Will the Thunder win the 2026 NBA Finals?",
"conditionId":"0x6a3c...",
"slug":"thunder-2026-nba-finals",
"endDate":"2026-06-22T00:00:00Z",
"volume24hr":1843210.5,
"liquidity":412000.2,
"outcomes":["Yes","No"],
"outcomePrices":[0.62,0.38],
"clobTokenIds":["7131...","2384..."],
"negRisk":false,
"orderbook":[
{"outcome":"Yes","bestBid":0.61,"bestAsk":0.63,"spread":0.02,"bidDepthUsd":5230.1,"askDepthUsd":3877.0}
]
}

Use cases

• Trading research & bots — scan the whole exchange for spreads, thin books, mispricings
• AI agents — live prediction-market context (probabilities) for any topic via API/MCP
• Dashboards & alerts — schedule runs, trigger webhooks on threshold crossings
• Academic / journalism — event probability datasets with real liquidity context

Input

{
"search":"nba",
"active":true,
"order":"volume24hr",
"limit":200,
"minVolume24hr":10000,
"includeOrderbook":true,
"booksLimit":50
}

Run via API

curl-s"https://api.apify.com/v2/acts/<username>~polymarket-markets/run-sync-get-dataset-items?token=$APIFY_TOKEN"\
-X POST -H'Content-Type: application/json'\
-d'{"limit": 100, "minVolume24hr": 50000}'