{ "openapi": "3.0.1", "info": { "title": "Kalshi & Polymarket Prediction Market Odds Scraper", "description": "Live odds, volume, liquidity and settlement from Kalshi and Polymarket in one schema — with weather markets resolved to city, station and temperature bracket.", "version": "0.0", "x-build-id": "snjPVXH07tGhO5RDb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapebench~kalshi-polymarket-prediction-market-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapebench-kalshi-polymarket-prediction-market-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapebench~kalshi-polymarket-prediction-market-scraper/runs": { "post": { "operationId": "runs-sync-scrapebench-kalshi-polymarket-prediction-market-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapebench~kalshi-polymarket-prediction-market-scraper/run-sync": { "post": { "operationId": "run-sync-scrapebench-kalshi-polymarket-prediction-market-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "venue": { "title": "Venue", "enum": [ "both", "kalshi", "polymarket" ], "type": "string", "description": "Which exchange to read. 'Both' returns one combined, directly comparable dataset — the same question is often listed on each at a different price.", "default": "both" }, "query": { "title": "Keyword", "type": "string", "description": "Keep only markets whose question, subtitle, series, ticker or weather city contains this text. Matching the city matters: a New York temperature market's question says only 'Will the maximum temperature be 81-82°?', so 'new york' is the only way to find it. Kept forever alongside 'Keywords' — saved tasks and API callers send it." }, "queries": { "title": "Keywords (any of)", "type": "array", "description": "Several keywords in ONE run. A market is kept if it matches any of them. This does not re-fetch per keyword — the exchange is read once and filtered in memory, so ten keywords cost exactly what one does.", "default": [], "items": { "type": "string" } }, "categories": { "title": "Categories (Kalshi)", "type": "array", "description": "Kalshi's own categories, e.g. Politics, Economics, Climate and Weather, Crypto, Sports, Financials. Filtered here rather than at the API, because Kalshi accepts a category parameter and then ignores it — /events?category=Crypto and ?category=Climate%20and%20Weather return byte-identical pages. Polymarket publishes no category per market, so this filter excludes its rows when set. Left empty by default: every filter here narrows, and pre-filling two of them together is how an Actor returns nothing on its first run.", "default": [], "items": { "type": "string" } }, "series": { "title": "Kalshi series tickers", "type": "array", "description": "Read only these Kalshi series, e.g. KXHIGHNY (New York daily high), KXHIGHCHI, KXHIGHMIA, KXFEDDECISION. This one IS honoured by the API, so naming a series turns a full-exchange walk into a single request — about 0.5s instead of 17s. Leave empty to read everything; a series narrows to that series alone, so combining it with keywords usually returns nothing.", "default": [], "items": { "type": "string" } }, "minVolume": { "title": "Minimum volume", "minimum": 0, "type": "integer", "description": "Drop markets that have traded less than this. Most of any prediction exchange is long-tail listings nobody has touched; set 1000 or more to get only markets with a real book behind the price.", "default": 0 }, "includeClosed": { "title": "Include closed and settled markets", "type": "boolean", "description": "Off by default, so you get the live board. Turn it on to pull settled markets with their result, which is what you want for backtesting rather than trading.", "default": false }, "maxResults": { "title": "Maximum markets per run", "minimum": 1, "maximum": 50000, "type": "integer", "description": "A cap on the whole RUN, not per keyword — this Actor sweeps entire exchanges rather than looking up one thing at a time, so the cap is your spend control. Markets are ranked by volume before it applies, so a cap keeps the ones people are actually trading. The run log always states how many matched, so a cap can never read as completeness.", "default": 1000 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional and off by default. Both venues are public, documented, keyless APIs that answer a plain client in under a second, and a proxy only adds latency (#145: never reach for one before the plain path is proven to fail).", "default": { "useApifyProxy": false } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }