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Polymarket vs Kalshi Prediction Market Arbitrage Scraper

Try for free

Detect real-time odds spreads and price arbitrage opportunities across matching events on Polymarket and Kalshi prediction markets.

Pricing

from $3.50 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

LiteZero

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Total users

Monthly active users

2 days ago

Last modified

🏛️ Polymarket vs Kalshi Prediction Market Arbitrage Scraper

Detect real-time odds spreads and price arbitrage opportunities across matching events on Polymarket and Kalshi prediction markets.

🥊 Why This Actor Beats the Competition

Feature	Tillzero Actor	Standard Web Scrapers / Legacy Bots
Speed & Throughput	⚡ Direct API & high-throughput streams (sub-5s runs)	🐢 Heavy browser Puppeteer overhead (45s+ per query)
Pricing Transparency	💰 Pay-Per-Result ($5.00 / 1k items)	💸 Expensive $49–$99/month subscriptions or compute lock-in
Data Quality & Schemas	🛡️ Strictly typed, validated ISO 8601 JSON	❌ Raw messy HTML dumps with missing columns
Bot Protection & Proxies	🌐 Built-in smart rotation and residential resilience	🚫 Frequent Cloudflare/Akamai 403 blocking

🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console

Navigate to the Actor page in the Apify Store.
Configure your search parameters in the intuitive Web UI.
Click Start to run the scraper and export results to CSV, Excel, or JSON.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("litezero/prediction-markets-arbitrage-scraper").call(run_input={"minSpreadPct": 1.0, "maxResults": 5})

dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(dataset_items)} items!")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/prediction-markets-arbitrage-scraper').call({"minSpreadPct": 1.0, "maxResults": 5});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items!`);

Method 4: REST API / cURL

curl -X POST "https://api.apify.com/v2/acts/litezero~prediction-markets-arbitrage-scraper/runs?token=YOUR_APIFY_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{"minSpreadPct": 1.0, "maxResults": 5}'

📥 Input Parameters

Field	Type	Description	Default
`category`	String	Filter markets by category: 'all', 'politics', 'economy', 'science'.	`all`
`minSpreadPct`	Number	Only return events with probability spread equal or higher than this threshold.	`2.5`
`maxResults`	Integer	Maximum market arbitrage opportunities to return.	`100`

📤 Output Data Dictionary & Sample JSON

{
  "eventTitle": "Federal Reserve Cuts Rates in November 2026",
  "category": "economy",
  "polymarketYesPrice": 0.58,
  "kalshiYesPrice": 0.65,
  "spreadPct": 7.0,
  "arbitrageDirection": "Buy Polymarket / Sell Kalshi",
  "polymarketUrl": "https://polymarket.com/event/fed-rate-cut-nov-2026",
  "kalshiTicker": "KXFED-26NOV",
  "impliedReturn": "12.07%",
  "scrapedAt": "2026-10-13T14:40:00Z"
}

💡 Top Commercial Use Cases

Automated Market Intelligence: Stream fresh data into Slack, Discord, Google Sheets, or Zapier webhooks.
Quantitative Research: Feed machine learning models, predictive alphas, and algorithmic trading desks.
B2B Growth & Lead Gen: Poach competitors' unhappy users or discover newly funded high-growth targets.

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