Infrastructure
Proxy routing, browser execution, retries, and usage controls are operational work.
Collect structured public records from Polymarket, Kalshi, and Metaculus for research dashboards, forecast tracking, and AI research assistants — without treating Crawlora as a trading feed or investment adviser.
The problem
Research teams, analysts, and AI workflows often need public prediction-market events, markets, prices, order books, and community forecasts in a structured pipeline. Maintaining that internally means parsing several Polymarket, Kalshi, and Metaculus page and API shapes and handling upstream changes yourself.
Proxy routing, browser execution, retries, and usage controls are operational work.
Raw pages must become stable records before products and data teams can use them.
Use-case landing pages should map directly to buyer workflows and internal data models.
Structured public web data workflows still need clear legal, privacy, and platform boundaries.
What you can collect
Example fields may include public event, market, price, order-book, and forecast fields where supported.
Relevant Crawlora APIs
Start from the platform page or endpoint docs, then test the same route in Playground before production integration.
Events, markets, prices, order books, tags, sports, leaderboards, and trade activity.
OpenCollect public Polymarket market rows for monitoring and research.
OpenFetch one normalized public Polymarket event.
OpenEvents, markets, series, trades, order books, and historical market data.
OpenCollect public Kalshi market rows for prediction-market monitoring.
OpenCollect public Kalshi event rows and metadata.
OpenForecasting questions, community forecasts and history, metadata, and comments.
OpenCollect public Metaculus forecasting questions for research workflows.
OpenExample workflow
Crawlora keeps the scraping execution layer behind documented APIs so your product can focus on storage, analysis, alerts, and user workflows.
01
Choose events, markets, series, tags, or forecasting questions across Polymarket, Kalshi, and Metaculus.
02
Use Crawlora's documented routes with API-key auth and generated Playground examples.
03
Store market rows, prices, order books, forecast values, source URLs, timestamps, and usage context.
04
Feed dashboards, alerts, reports, and AI assistants with structured public prediction-market records.
API example
Illustrative example using the documented Polymarket markets route. Check Docs for current parameters, response fields, and credit costs.
GET https://api.crawlora.net/api/v1/polymarket/markets?limit=25
x-api-key: YOUR_API_KEY{
"code": 200,
"msg": "OK",
"data": {
"markets": [
{
"id": "0x1234",
"question": "Example market question?",
"outcomes": ["Yes", "No"],
"outcome_prices": [0.62, 0.38],
"volume": 1284500
}
]
}
}What you can build
These are practical workflow patterns for SaaS products, data teams, AI agents, agencies, growth teams, and internal intelligence tools.
Refresh public event and market rows, outcome prices, and volume/liquidity fields for research views.
Collect Metaculus community forecasts and forecast history for tracking and comparison workflows.
Collect Polymarket and Kalshi order books, midpoints, and spreads for supported public markets.
Combine search, events, tags, and series across the three platforms for discovery pipelines.
Compare related public markets and questions across Polymarket, Kalshi, and Metaculus.
Feed structured public prediction-market records into summaries, watchlists, and internal copilots.
Build or buy
Custom scrapers can work for prototypes. Production web data workflows need infrastructure, monitoring, stable output, and clear failure behavior.
| DIY approach | Crawlora approach |
|---|---|
| Maintain separate scrapers for Polymarket, Kalshi, and Metaculus page and API shapes | Use documented endpoints across all three platforms |
| Normalize many layouts into your own prediction-market schema | Receive structured JSON from generated endpoint docs |
| Classify blocks, empty pages, and upstream changes yourself | Use documented errors and maintained endpoint behavior |
| Build request testing, usage metering, and credit costs from scratch | Use Playground, API-key usage tracking, and credit-based pricing |
Infrastructure
Crawlora combines platform-specific APIs with managed proxy routing, browser-backed rendering, retries, rate limits, usage tracking, and scaling controls.
Responsible use
Prediction-market workflows should be limited to responsible public research, monitoring, and dashboard use. Crawlora is not the official Polymarket, Kalshi, or Metaculus API, a broker, investment adviser, exchange, or real-time trading data provider. Data may be delayed, incomplete, or affected by upstream changes. Do not use Crawlora as the sole source for trading, investment, compliance, tax, accounting, or risk decisions. Read Crawlora terms.
Related use cases
Cross-link practical workflows that often share the same data infrastructure and product buyers.
FAQ
Answers for developers and product teams evaluating Crawlora for this workflow.
It focuses on the Polymarket, Kalshi, and Metaculus platform pages and their documented public endpoint catalogs.
The active catalog includes events, markets, prices, order books, midpoints, spreads, series, tags, sports, exchange status, and Metaculus questions and forecasts where supported.
No. Crawlora is not a real-time trading data provider and should not be used as the sole source for trading, investment, compliance, tax, accounting, or risk decisions.
No. Crawlora provides structured public web data infrastructure. It does not provide investment advice, forecasting advice, brokerage or exchange services, or trading recommendations.
Yes. Open each platform page or endpoint-specific Playground pages to inspect parameters, cURL examples, sample JSON, docs links, and credit costs.
Browse Crawlora APIs, test a request in Playground, and move from scraping infrastructure work to production data workflows.