📈 Polymarket Scraper — Prediction Market Odds API, Live Sports Scores, AI Analysis & Twitter Signals

The most comprehensive Polymarket data extractor on Apify. Scrape every active Polymarket event, every sports market with live scores, every AI-generated betting analysis, and the high-significance Twitter signal feed — all in one Actor. It is the unofficial Polymarket odds & prediction market data API you can run without an account, without a wallet, and without writing a single line of scraping code.

Polymarket is the dominant on-chain prediction market with billions in cumulative volume across politics, sports, crypto, and world events. This Actor turns its live surface into structured, export-ready data: market-level odds (outcomes, prices, spreads, liquidity, and volumes at 5m / 1h / 6h / 24h / all-time), live sports games (home/away teams with logos, scores, period, game status), per-event AI betting analysis (recommended option, rationale, market context, key data, X sentiment), and a curated Twitter activity feed where every tweet is tagged with the exact prediction-market events it moves. No login, no API key, no rate-limit headaches — one clean dataset you can pull as JSON, CSV, or Excel.

🏆 Why this Polymarket scraper?

4 pluggable feeds in one run · every active event, market & outcome · live sports scores · AI betting rationale · tweet → market impact map · volumes at 5m/1h/6h/24h/all · no API key / no wallet / no login · unofficial Polymarket odds API alternative · export to JSON / CSV / Excel

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✨ What this Actor does

• 📊 Every active event & market — pulls all live Polymarket events with markets, outcomes, prices, spreads, liquidity, and multi-window volumes (volume5m, volume1h, volume6h, volume24h, volumeAll).
• 🎯 Outcome-level odds — explode each market into individual outcomes (Yes / No / team A / team B) with outcomePrice, outcomeBestAsk, outcomeBestBid, and implied chance.
• 🏟️ Live sports scores — sports markets enriched with homeTeamName/awayTeamName (plus logos), live score, period, gameStatus, gameType, and gameEnded.
• 🤖 AI betting analysis — per-event LLM analysis: aiBettingOption, aiBettingRationale, aiContextAnalysis, aiKeyDataEvidence, and aiXSentiment.
• 🐦 Twitter signal feed — a curated activity feed where each tweet carries a tweetSignificance score (0–100) and a tweetEvents map linking it to the events, markets, probabilities, and outcomes it affects.
• 🔀 Four pluggable feeds — toggle events_rank, sports, twitter_activity, and ai_analysis independently; every row carries a _kind discriminator so mixed exports stay clean.
• 🔎 Built-in filtering — drop low-volume events with minVolume24hUsd, keep only live games with onlyLive, and filter tweets by significance or category.
• 🧩 Flatten or nest — explodeMarkets and explodeAssets give you one-row-per-event, one-row-per-market, or one-row-per-outcome for spreadsheets and databases.
• 🔑 No auth, no wallet — reads only public prediction-market data through a clean aggregator surface; no API key, token, or login required.
• 📤 Export anywhere — every run writes to an Apify dataset you can download as JSON, CSV, or Excel, or stream via the REST API and webhooks.

🚀 Quick start (3 steps)

1. Configure — pick which feeds you want in feeds (defaults to events_rank + sports + twitter_activity). Optionally set minVolume24hUsd, onlyLive, or twitterMaxItems.
2. Run — click Start. The Actor fetches every enabled feed in parallel and streams rows into the dataset.
3. Get your data — download the results as JSON, CSV, or Excel from the Output / Dataset tab, or pull them via the API and pipe them into your dashboard, bot, or database.

📥 Input

Configure the run with a handful of fields — the only thing you really need to decide is which feeds to pull. Here are three ready-to-run scenarios:

Scenario A — Live odds + sports scores dashboard

{
  "feeds": ["events_rank", "sports"],
  "explodeMarkets": true,
  "explodeAssets": true,
  "onlyLive": true,
  "minVolume24hUsd": 1000
}

Scenario B — AI-driven betting bot (events auto-feed the AI analysis)

{
  "feeds": ["events_rank", "ai_analysis"],
  "explodeMarkets": true,
  "minVolume24hUsd": 5000,
  "aiAnalysisType": 1
}

Scenario C — High-significance politics tweet alerts

{
  "feeds": ["twitter_activity"],
  "twitterMaxItems": 200,
  "minTwitterSignificance": 70,
  "twitterCategories": ["2", "100265"]
}

Field	Type	Description
feeds	array	Which feeds to fetch: events_rank (all active events + series), sports (markets with live scores), twitter_activity (curated tweet feed), ai_analysis (per-event AI analysis). Default ["events_rank","sports","twitter_activity"].
explodeMarkets	boolean	One row per market within an event (an event with 5 markets → 5 rows). When off, markets stay nested. Default true.
explodeAssets	boolean	One row per outcome (Yes/No/team) within a market. Default true.
twitterMaxItems	integer	Cap on twitter_activity items (paginated 10 per page). ~100 ≈ 1 min. Default 100.
minTwitterSignificance	integer	Drop tweets below this significance score (0–100). Default 0.
twitterCategories	array	Polymarket category IDs to keep in the tweet feed. Empty = all.
aiAnalysisSlugs	array	Event slugs to run AI analysis on. Auto-filled from events_rank when both feeds run.
aiAnalysisType	integer	AI analysis variant ID. 1 is the standard betting-recommendation analysis. Default 1.
minVolume24hUsd	number	Drop events / markets with 24h volume below this threshold. Default 0.
onlyLive	boolean	Sports feed only: keep games where liveStatus is true. Default false.
useProxy	boolean	Route requests through Apify Proxy (strongly recommended). Default true.
proxyConfiguration	object	Apify Proxy config. Residential group is recommended for the highest success rate.
maxConcurrency	integer	Max parallel API calls (1–10). 3–5 is safe. Default 3.

📤 Output

Every run writes one row per event, market, outcome, sports game, tweet, or AI analysis — all distinguished by the _kind field. Here is a trimmed, realistic sample of the main row kinds (fields shown are exactly those the Actor emits):

[
  {
    "_kind": "event",
    "seriesSlug": "presidential-election-winner-2028",
    "seriesTitle": "2028 Presidential Election Winner",
    "eventSlug": "trump-xi-summit-what-will-china-announce-by-may-22",
    "eventTitle": "Trump-Xi Summit: What will China announce by May 22?",
    "eventDescription": "Resolves YES if an official Chinese government announcement is made before the deadline.",
    "eventIcon": "https://polymarket-upload.s3.us-east-2.amazonaws.com/trump-xi.png",
    "exchange": "polymarket",
    "tagIds": ["2", "100265"],
    "marketId": "0xecbc0f0a1b4e...",
    "marketQuestion": "Will China announce a Boeing aircraft purchase?",
    "marketGroupItem": "Boeing Aircraft Purchase",
    "outcome": "Yes",
    "outcomePrice": "0.5",
    "outcomeBestAsk": "0.51",
    "outcomeChance": "0.5",
    "price": "0.5",
    "spread": "0.02",
    "liquidity": "184203.55",
    "volume5m": "1204.10",
    "volume1h": "8801.42",
    "volume6h": "20551.88",
    "volume24h": "25698.89",
    "volumeAll": "412887.03",
    "endTimestamp": "2026-05-22T23:59:00.000Z",
    "liveStatus": "false",
    "resolutionSource": "https://www.reuters.com/",
    "scrapedAt": "2026-07-06T12:00:00.000Z"
  },
  {
    "_kind": "sports",
    "eventSlug": "atp-carabelli-kecmanovic-2026-05-15",
    "eventTitle": "Valencia: Camilo Ugo Carabelli vs Miomir Kecmanovic",
    "homeTeamName": "Camilo Ugo Carabelli",
    "awayTeamName": "Miomir Kecmanovic",
    "homeTeamLogo": "https://polymarket-upload.s3.us-east-2.amazonaws.com/country-flags/arg.png",
    "awayTeamLogo": "https://polymarket-upload.s3.us-east-2.amazonaws.com/country-flags/srb.png",
    "score": "0-1",
    "period": "S1",
    "gameStatus": "in_progress",
    "gameType": "tennis",
    "gameEnded": "false",
    "thesportsMatchId": "9y2xk8mob7d4qjp",
    "marketId": "0x9439f1eaac30c73e9780a5eebedcd9b1a7a7a6d429cd15ebba69672b6877e757",
    "marketQuestion": "Camilo Ugo Carabelli vs Miomir Kecmanovic — Moneyline",
    "outcome": "Camilo Ugo Carabelli",
    "outcomePrice": "0.385",
    "volume24h": "26600.28",
    "totalVolume": "26702.56",
    "scrapedAt": "2026-07-06T12:00:00.000Z"
  },
  {
    "_kind": "twitter_activity",
    "tweetId": "2055259399174619490",
    "tweetUserHandle": "MOSSADil",
    "tweetUserName": "Mossad Commentary",
    "tweetUserVerifiedType": "blue",
    "tweetText": "NEW—President Trump says he may lift sanctions on Chinese companies buying Iranian oil…",
    "tweetTimestamp": "2026-07-06T11:10:00.293Z",
    "tweetSignificance": "95",
    "tweetCategory": ["2", "100265"],
    "tweetEvents": [
      {
        "eventSlug": "trump-xi-summit-what-will-china-announce-by-may-22",
        "eventTitle": "Trump-Xi Summit: What will China announce by May 22?",
        "marketTitle": "Boeing Aircraft Purchase",
        "marketId": "0xecbc0f0a1b4e...",
        "volume24h": 25698.89,
        "probability": 0.5,
        "outcome": "Yes"
      }
    ],
    "tweetUrl": "https://x.com/MOSSADil/status/2055259399174619490",
    "scrapedAt": "2026-07-06T11:10:00.000Z"
  },
  {
    "_kind": "ai_analysis",
    "eventSlug": "trump-xi-summit-what-will-china-announce-by-may-22",
    "aiStatus": "SUCCESS",
    "aiUpdatedAt": "2026-07-06T07:13:19.000Z",
    "aiBettingOption": "Boeing Aircraft Purchase: Buy No",
    "aiBettingRationale": "Summit concluded without an official Chinese announcement on Boeing purchases…",
    "aiContextAnalysis": "The Trump-Xi summit in Beijing aimed to stabilize trade amid Iran tensions…",
    "aiKeyDataEvidence": "Reuters: pre-summit, both sides eyed tariff cuts on non-sensitive imports…",
    "aiXSentiment": "Hype around Trump securing 200 Boeing jets and Iran cooperation from Xi…"
  }
]

💡 Use cases

• 📉 Prediction-market trading dashboards — power your own UI with live event, market, and outcome odds refreshed every minute.
• 🗳️ Election & politics forecasting — pull political-event markets on a schedule and build a real-time "structured pollster" view like ElectionBettingOdds, but live.
• ⚽ Sports betting analytics — live odds and live scores in a single export, ready for arbitrage or model backtesting.
• 🤖 AI-driven betting bots — feed aiBettingOption + current price into a buy / no-buy decision pipeline.
• 📰 News ↔ market correlation — the Twitter feed shows which tweets are moving which markets, with probability shifts attached.
• 🧪 Research & ML datasets — labelled Polymarket events × tweets × AI takes for quantitative and NLP research.

👥 Who uses it

Quant & prop traders · sports-betting analysts · election forecasters · crypto and Web3 builders · trading-bot developers · data journalists · hedge-fund researchers · ML engineers building market-signal datasets · newsletter and Substack authors

💰 Pricing

This Actor uses Apify's pay-per-result model — you pay for the rows it produces plus the underlying platform compute, with no monthly subscription. Narrow runs (a single feed, filtered by volume) are extremely cheap; full nightly bundles across all four feeds cost more because they emit far more rows. See the Pricing tab on the Actor's Apify page for exact, up-to-date figures, and use maxResults-style controls (twitterMaxItems, minVolume24hUsd, onlyLive) to keep runs lean.

❓ Frequently Asked Questions

Is this a Polymarket API alternative?

Yes — it's an unofficial Polymarket API alternative. Instead of stitching together prediction-market endpoints yourself, you get structured events, odds, sports scores, AI analysis, and tweet signals in one Apify run, with no auth required.

Can I use it without an API key or login?

Yes. The Actor needs no login, no wallet, and no API key. It reads only public Polymarket events, live odds, and sports scores, making it a drop-in Polymarket odds data extraction tool.

How do I export Polymarket data to CSV or JSON?

Every run writes to an Apify dataset you can download as CSV, JSON, or Excel, or pull via the dataset REST API — so you can scrape Polymarket odds and export prediction-market data to CSV/JSON directly, no code required.

Is it legal to scrape Polymarket odds?

The Actor only accesses publicly available prediction-market data — the same information any visitor can see. It does not log in, place trades, or touch private account data. You are responsible for complying with the source's Terms of Service and applicable law in your jurisdiction. Nothing here is financial advice.

How much data can I get in one run?

A typical events_rank pull returns 50–200 active events plus 20–30 series; sports adds ~50–100 live/upcoming games; twitter_activity is capped by twitterMaxItems. With markets and outcomes exploded, a full run easily produces thousands of rows.

What's a Polymarket "event" vs "series"?

An event is a single resolvable market (e.g. "Will China announce X by May 22"). A series is a recurring sequence of events (e.g. a "BTC Up or Down 5m" series spawns a new event every 5 minutes). The _kind field tells them apart.

What does tweetSignificance mean?

It's a 0–100 score of how impactful a tweet is for prediction markets. High-significance tweets (95+) typically move odds; use minTwitterSignificance to keep only the market-movers.

How is the AI analysis generated?

An LLM is run over the event description, recent news, and X sentiment to produce a structured betting recommendation (aiBettingOption, aiBettingRationale, and supporting context). Treat it as a research input, not financial advice — quality varies by event.

Can I pass my own event slugs to the AI analysis?

Yes — set aiAnalysisSlugs: ["slug-1", "slug-2"] to analyze specific events, or leave it empty and enable events_rank so the Actor auto-fills slugs for you.

How fresh is the odds data?

Each run captures a live snapshot plus 5m / 1h / 6h / 24h rolling aggregates. For a near-real-time feed, schedule the Actor every 1–5 minutes; for longer history, run daily and stitch the snapshots.

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⏰ Scheduling & integration

• Schedule — use Apify Schedules to run this Actor every 1–5 minutes (live odds + sports), every 5–15 minutes (tweet alerts), or hourly/daily (AI bundle).
• Export — download any run as JSON, CSV, or Excel, or query the dataset via the REST API.
• Automate — wire results into Make, n8n, or Zapier to push new events, moving markets, or high-significance tweets straight to Slack, Telegram, Google Sheets, or a database.
• API & webhooks — start runs and stream results programmatically with the Apify API, and attach webhooks to fire your pipeline the moment a run finishes.

⭐ Support & feedback

Found a bug, or want a new feed or field exposed? Open an issue on the Actor's Issues tab — feature requests are welcome. If this Actor saves you time, please leave a ★★★★★ review on its Apify Store page; it genuinely helps others discover it.

⚖️ Legal

This Actor collects only publicly available prediction-market data — the same information any visitor to Polymarket can view — and performs no login, trading, or access to private account data. You are responsible for using the output in compliance with the source's Terms of Service, applicable laws, and (where relevant) GDPR. Nothing produced by this Actor constitutes financial, investment, or betting advice.

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📝 Changelog

2026-07-06

• ✨ README overhaul: richer output sample, ready-to-run example scenarios, cross-promo links, and clearer quick-start.

2026-07-01

• Maintenance pass: re-verified end-to-end on live data and confirmed successful runs within the 5-minute quality window on the default input.
• Sharpened Store metadata (SEO title & description) and expanded the FAQ with high-intent, long-tail questions for easier discovery in Google and Apify Store search.
• Added ready-to-run example tasks that cover common real-world use cases.

2026-06-15

• Reliability pass: re-verified end-to-end on live data with real-world inputs. Routine maintenance build.

2026-06-07

• Docs: added coverage for Polymarket API alternative usage, exporting prediction market odds to CSV/JSON, and scraping Polymarket odds without login.

2026-06-05

• 🛡️ Reliability fix: results are no longer dropped by strict output validation — runs now complete cleanly even at high volume (thousands of results).
• ⚡ Stability & performance hardening; fresh rebuild.

2026-06-04

• Verified live & refreshed build — reliability/maintenance pass.