Kalshi Scraper [Just 💰$0.80/1k] — Odds, Weather & Order Book

What does Kalshi Scraper do?

Kalshi Scraper extracts prediction-market odds from kalshi.com — implied probability, yes/no bid and ask, spread, last price, volume, 24h volume and open interest, plus the settlement result once a market resolves. Filter by keyword, series ticker, market status or trading activity, and every row carries the full lifecycle from open to close. Output is structured JSON or CSV, one row per market, so you can run the same query consistently over time.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
• 🔗 Paste-mode: paste any kalshi URL straight from your browser — single-listing pages, search-results URLs, or category SEO URLs. Mix freely with keyword and IDs in the same run; results dedupe by ID.
• 📦 Compact mode: AI-agent and MCP-friendly payloads with core fields only.
• 📌 Change classification: each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired.
• 🔌 MCP connectors: export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.
• 📝 Description format selection: pick a single description representation — text, html, or markdown — and the unused variants are dropped from each record. Halves payload size when your pipeline only consumes one format.
• ♻️ Incremental mode: recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline; subsequent runs emit only NEW / UPDATED / REAPPEARED records (UNCHANGED + EXPIRED opt-in). Saves 80–95% on daily monitoring.
• 🧹 Empty-field stripping: drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards that already handle missing fields gracefully.
• 📤 Export anywhere: Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).

What data can you extract from kalshi.com?

Each result includes Core listing fields (ticker, eventTicker, title, status, result, marketUrl, portalUrl, and yesSubtitle, and more) and extended fields (detailFetched). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Keyword to match against the market question, both outcome subtitles and the tickers (case-insensitive substring). Leave empty to browse every open market, or combine with Series ticker to browse one series.
• seriesTicker — Return only markets from one series, e.g. KXFED (Fed funds rate), KXNFLGAME (NFL games), KXBIGGESTQUAKE (daily earthquakes). Leave empty to return the whole open-market feed. For several series at once, paste a JSON array: ["KXFED","KXNFLGAME"].
• category — Return only markets in this category. The exchange indexes its series by category, so the actor asks it for that category's series and fetches only those — it does not scan the whole feed and discard the rest. Typing a close variant works too ("weather" finds Climate and Weather); an unrecognised one stops the run and lists the valid names rather than returning nothing. (default: "")
• status — Which markets to return. Was previously fixed to "open", which put closed and settled markets — the whole historical and settlement use case — out of reach. (default: "open")
• excludeMultivariate — Kalshi auto-generates enormous numbers of multi-leg parlay markets (KXMVECROSSCATEGORY…). Measured on the live feed they are 98.6% of all open markets and almost none of them trade. On by default so a run returns markets a person recognises. (default: true)
• minVolume24h — Drop markets that traded fewer than this many contracts in the last 24h. Use 1 to keep only markets that traded at all today.
• minVolume — Drop markets with less total volume than this.
• minOpenInterest — Outstanding contracts. A better liveness signal than volume — it says money is still at risk, not merely that a trade once happened.
• minLiquidity — Resting order-book depth in dollars. Note: the open-markets feed reports 0 here for most markets, so a non-zero value filters hard.
• maxResults — Maximum number of markets to return. The exchange carries about 103,000 tradable markets and 0 returns all of them, which is a long run — a measured run delivered 30,000 in 55 minutes, and how long a full sweep takes varies a great deal from run to run. Most of the exchange is auto-generated combination markets, which are excluded by default, so narrowing by Category or Series Ticker is what makes a large run quick. (default: 200)
• includeOrderBook — Resting bids on both sides, with best price and total depth. COSTS ONE EXTRA REQUEST PER MARKET returned — a 1,000-row run is 1,000 extra requests. (default: false)
• orderBookDepth — Price levels per side. Only used when the order book is on. (default: 10)
• ...and 27 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "fed",
  "maxResults": 50
}

Incremental tracking — Only emit listings that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "fed",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "fed-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "fed",
  "category": "weather",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "ticker": "KXFED-27APR-T4.25",
  "eventTicker": "KXFED-27APR",
  "title": "Will the upper bound of the federal funds rate be above 4.25% following the Fed's Apr 28, 2027 meeting?",
  "status": "active",
  "marketUrl": "https://kalshi.com/markets/kxfed",
  "portalUrl": "https://kalshi.com/markets/kxfed",
  "sourceApiUrl": "https://api.elections.kalshi.com/trade-api/v2/markets/KXFED-27APR-T4.25",
  "yesSubtitle": "Above 4.25%",
  "noSubtitle": "Above 4.25%",
  "marketType": "binary",
  "rulesSecondary": "This market will expire the first 2:05 PM ET following the release of a Federal Reserve statement for their Apr 28, 2027 meeting or one week following the last day of that meeting.",
  "yesBid": 0.15,
  "yesAsk": 0.27,
  "noBid": 0.73,
  "noAsk": 0.85,
  "yesBidSize": 23.25,
  "yesAskSize": 1,
  "lastPrice": 0.37,
  "previousPrice": 0.35,
  "midPrice": 0.21,
  "spread": 0.12,
  "impliedProbability": 0.21,
  "priceChange": 0.02,
  "hoursToClose": 5613.75,
  "previousYesBid": 0.15,
  "previousYesAsk": 0.35,
  "liquidity": 0,
  "volume": 10293.97,
  "volume24h": 30,
  "openInterest": 2054.01,
  "notionalValue": 1,
  "openTime": "2025-10-13T14:00:00Z",
  "closeTime": "2027-04-28T17:55:00Z",
  "expirationTime": "2027-05-05T18:05:00Z",
  "expectedExpirationTime": "2027-04-28T18:05:00Z",
  "latestExpirationTime": "2027-05-05T18:05:00Z",
  "createdTime": "2025-10-06T19:22:55.893694Z",
  "updatedTime": "2026-04-09T14:07:28.591885Z",
  "canCloseEarly": true,
  "strikeType": "greater",
  "priceLevelStructure": "linear_cent",
  "settlementTimerSeconds": 300,
  "priceRangesJson": "[{\"end\":\"1.0000\",\"start\":\"0.0000\",\"step\":\"0.0100\"}]",
  "rawJson": "{\"can_close_early\":true,\"close_time\":\"2027-04-28T17:55:00Z\",\"created_time\":\"2025-10-06T19:22:55.893694Z\",\"event_ticker\":\"KXFED-27APR\",\"exchange_index\":0,\"expected_expiration_time\":\"2027-04-28T18:05:00...",
  "listingId": "209025d283c829b97a89ca786084410fe95c7d34e97a6c500a8e40a14beab14c",
  "contentQuality": "full",
  "detailFetched": false,
  "scrapedAt": "2026-09-06T20:10:10.585Z",
  "source": "kalshi.com",
  "contentHash": "12ef850ef6c99c9cac8c91c9b8501fff034bdf124a99a480f99b1ef256dae29c"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape kalshi.com

1. Go to Kalshi Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from kalshi.com for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape kalshi.com?

Kalshi Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.001 per run
• Per result: $0.0008 per listing record

Example costs:

• 10 results: $0.009
• 25 results: $0.021
• 100 results: $0.081
• 200 results: $0.16
• 500 results: $0.4

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 listings per run, daily polling (30 runs/month). Costs scale linearly with the number of listings.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.20	$0.01	$0.19 (95%)	$0.33
15% — moderate broad query	$0.20	$0.03	$0.17 (85%)	$0.93
30% — high-volume aggregator	$0.20	$0.06	$0.14 (70%)	$1.83

Full re-scrape monthly cost at the same cadence: $6.03. First month with incremental costs $0.52 / $1.10 / $1.97 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from kalshi.com?

The number of results depends on the search query and available listings on kalshi.com. Use the maxResults parameter to control how many results are returned per run.

Does Kalshi Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Kalshi Scraper with other apps?

Yes. Kalshi Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Kalshi Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Kalshi Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape kalshi.com?

This actor extracts publicly available data from kalshi.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on kalshi.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Kalshi's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to Kalshi.

Search keywords

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