Kalshi Prediction Markets Scraper
Pricing
from $7.50 / 1,000 results
Kalshi Prediction Markets Scraper
Tap the Kalshi public markets API and pull ticker, title, status, closeTime, yesAsk, noBid, volume, openInterest, category, and expirationTime. Filter by status, event, or series ticker. Useful for event forecasting and tracking sentiment on US prediction markets.
Pricing
from $7.50 / 1,000 results
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ParseForge
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20
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6 days ago
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📊 Kalshi Prediction Markets Scraper
🚀 Export Kalshi prediction markets data in seconds. Structured records direct from the public api.elections.kalshi.com endpoint to CSV, Excel, JSON, or XML.
The Kalshi Prediction Markets Scraper turns the api.elections.kalshi.com public REST endpoint into a clean, structured dataset. It calls the endpoint with the parameters you supply, parses the JSON, and flattens each record into one row.
Dataset coverage depends on the upstream source. All field names are clean snake_case / camelCase, numeric strings are auto-cast to numbers, and upstream rate-limit notes are surfaced as a clean error record instead of crashing your pipeline.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| 📊 Analysts | Pull structured records for analysis |
| 🏢 Finance teams | Snapshot data for dashboards and reports |
| 🤖 ML engineers | Build training sets from public sources |
| 📰 Journalists | Verify numbers for stories with one click |
| 👩💻 Developers | Mirror upstream data into your own DB without writing client code |
| 🎓 Researchers | Run reproducible studies on public data |
📋 What the Kalshi Prediction Markets Scraper does
- Calls the public
api.elections.kalshi.comendpoint. - Parses the JSON response and flattens each record into a clean row.
- Casts numeric fields to numbers so they import cleanly into Excel and BI tools.
- Surfaces upstream rate-limit or error notes as a single-row
errorrecord instead of crashing. - Exports as CSV, Excel, JSON, JSONL, XML, RSS, or HTML.
💡 Why it matters: The raw Kalshi prediction markets JSON is verbose and hard to consume in spreadsheets. This actor normalizes the payload into one row per record so the data drops straight into pandas, BigQuery, or a Google Sheet.
📊 Data fields
Each record includes: category, closeTime, expirationTime, noBid, openInterest, results, scrapedAt, status, ticker, title, volume, yesAsk. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.
⚠️ Good to Know: The Kalshi prediction markets API is rate-limited. This actor surfaces rate-limit notes as a clean
errorrecord so your downstream pipeline can decide how to retry.
🚀 How to use
- Click Try for free.
- Adjust input fields (or leave defaults).
- Click Start. Within seconds, your dataset is ready — download as CSV, Excel, JSON, or XML, or pipe to your warehouse.
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💡 Pro Tip: browse the complete ParseForge collection for 900+ production-grade scrapers.
Disclaimer: This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. Create a free account w/ $5 credit.
🆘 Need Help?
If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.
For faster answers, join our Discord. It's the best place to get support and suggest new actors.
