📊 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.

🕒 Last updated: 2026-05-29 · 📊 12 fields per record · Public REST API · Kalshi prediction markets

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.com endpoint.
• 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 error record 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.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
status	enum	No	open / closed / settled.
eventTicker	string	No	Filter to one event.
seriesTicker	string	No	Filter to one series.
maxItems	integer	No	Free users: 10. Paid users: up to 1,000,000. Prefill: 10.

Example 1:

{
  "status": "open",
  "maxItems": 50
}

Example 2:

{
  "eventTicker": "KXPRES",
  "maxItems": 100
}

⚠️ Good to Know: The Kalshi prediction markets API is rate-limited. This actor surfaces rate-limit notes as a clean error record so your downstream pipeline can decide how to retry.

📊 Output

Each record is a flat object. error is always last.

Field	Type	Description
🎟️ ticker	string	Market ticker.
📰 title	string	Market title.
⚡ status	string	open / closed / settled.
🕒 closeTime	string	When the market closes.
✅ yesAsk	number	Yes side ask price (cents).
❌ noBid	number	No side bid price (cents).
📊 volume	number	Total contracts traded.
🔓 openInterest	number	Open contracts.
🏷️ category	string	Market category.
⏳ expirationTime	string	Expiration time.
🕒 scrapedAt	string	Fetch timestamp.
❌ error	string	Set on upstream error.

Sample record:

{
  "ticker": "KXPRES-26-DJT",
  "title": "Will Trump win the 2026 election?",
  "status": "open",
  "closeTime": "2026-11-03T23:59:00Z",
  "yesAsk": 52,
  "noBid": 47,
  "volume": 1234567,
  "openInterest": 89012,
  "category": "Politics",
  "expirationTime": "2026-11-04T00:00:00Z",
  "scrapedAt": "2026-05-29T12:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🆓 | Works with the free, public Kalshi prediction markets endpoint. | | 🧹 | Clean snake_case keys ready for BI. | | 🔢 | Auto-casts numeric strings to real numbers. | | 🛟 | Surfaces rate-limit notes as a clean error record. | | 🔌 | Drop-in dataset replacement for the raw API. | | 💾 | Push to dataset → instant CSV / Excel / JSON / XML / RSS / HTML export. |

📈 How it compares to alternatives

Approach	Setup time	Clean keys?	Numeric casting?	Rate-limit handling?
Roll your own fetch	30 min +	❌	❌	❌
Generic API client	1 hr install + script	partial	partial	partial
This Actor	5 sec, no install	✅	✅	✅

🚀 How to use

1. Click Try for free.
2. Adjust input fields (or leave defaults).
3. Click Start. Within seconds, your dataset is ready — download as CSV, Excel, JSON, or XML, or pipe to your warehouse.

💼 Business use cases

📊 Analytics & dashboards. Pull Kalshi prediction markets data into a single CSV, feed BI tools, share with stakeholders.

🤖 ML feature engineering. Build clean training sets from Kalshi prediction markets for downstream models.

📰 Newsroom fact-checking. Verify numbers for stories in 30 seconds.

🏢 Treasury / ops. Schedule daily runs and pipe to your dashboard.

🔌 Automating Kalshi Prediction Markets Scraper

• Make / Zapier: trigger this actor on a schedule, push results to Airtable, Google Sheets, or Slack.
• Cron schedule: native Apify scheduler.
• Webhooks: POST to your endpoint the moment a run finishes.
• Pipe to BigQuery / Snowflake / Postgres: native Apify integrations.

🌟 Beyond business use cases

🎓 Education. Teach a class with real Kalshi prediction markets data instead of toy datasets.

🧪 Personal research. Track Kalshi prediction markets signals on your own schedule.

🤝 Non-profit & open data. Build public dashboards without writing client code.

🧰 Tinkering & prototyping. Spin up a feed in 5 seconds to test a new idea.

🤖 Ask an AI assistant about this scraper

Pop this README into ChatGPT, Claude, or any AI assistant and ask it to map your specific workflow to the actor's inputs.

❓ Frequently Asked Questions

❓ Do I need an API key? No. The Kalshi public markets endpoint is open.

❓ Is there a rate limit? Yes. We surface 429 responses as a clean error record.

❓ What markets are included? All public markets returned by /trade-api/v2/markets.

❓ Can I filter by event? Yes. Use the eventTicker input.

❓ Is this real-time? Snapshot at the time of fetch.

❓ What format can I download? CSV, Excel, JSON, JSONL, XML, RSS, or HTML.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint.

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