# Prediction Markets Scraper - Polymarket, Kalshi & Manifold (`webdata_labs/prediction-markets-scraper`) Actor \[💵 $2.00 / 1K] Scrape live prediction markets across Polymarket, Kalshi, and Manifold in one unified schema: odds, implied probability, prices, volume, and liquidity. - **URL**: https://apify.com/webdata\_labs/prediction-markets-scraper.md - **Developed by:** [Open Web Team](https://apify.com/webdata_labs) (community) - **Categories:** News, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 markets This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Prediction Markets Scraper - Polymarket, Kalshi & Manifold **Scrape live prediction markets across the three biggest platforms - Polymarket, Kalshi, and Manifold - in one run, one unified schema.** Get markets, implied probabilities, prices, volume, and liquidity for politics, sports, crypto, economics, and more. Most prediction-market scrapers cover a single platform and hand back that platform's raw shape. This Actor reads all three official public APIs and normalizes everything into one consistent schema - implied probability, favorite outcome, volume, liquidity, and resolution dates - ready for trading research, dashboards, journalism, bots, or "information finance" content. ### ✅ What you get / ❌ what this isn't | This Actor gives you | This Actor is not | |---|---| | Live markets from Polymarket, Kalshi, and Manifold in one unified schema | Not trading or betting advice | | Implied probability, outcome prices, favorite outcome per market | Not a way to place trades or move funds | | Volume and liquidity, with an explicit unit per platform | Not affiliated with Polymarket, Kalshi, or Manifold | | Per-platform roll-up: market count, total volume, top markets | Not a full historical tick/orderbook archive | | Reliable official-API reads (no anti-bot, no proxy needed) | Not a guarantee a specific market exists at run time | ### 🔎 Why use this Actor - Compare odds for the same event across multiple prediction markets. - Track politics, sports, crypto, and economic markets in one dataset. - Power a dashboard, newsletter, or bot with live implied probabilities. - Research market sentiment and volume on a topic with a keyword filter. - Feed normalized market rows into spreadsheets, a warehouse, or an LLM pipeline. ### 🗂️ What data you get | Field | Type | Description | |---|---|---| | `platform` | string | polymarket, kalshi, or manifold | | `question` | string | The market question | | `category` | string | Market category when the platform exposes one | | `outcomes` | array | Outcome labels | | `outcomePrices` | array | Price per outcome, 0-1 (implied probability) | | `yesProbability` | number | Implied probability of the Yes/primary outcome (binary markets) | | `favoriteOutcome`, `favoriteProbability` | string, number | Highest-priced outcome and its probability | | `volume`, `volumeUnit` | number, string | Traded volume and its unit (USD / contracts / mana) | | `liquidity`, `openInterest` | number | Platform-native liquidity; open interest (Kalshi) | | `status` | string | open, closed, resolved, etc. | | `startDate`, `endDate` | string | Market open and close/resolution dates | | `url` | string | Link to the market | Plus a per-platform summary row: market count, total volume, markets with a price, and the top markets by volume. ### 👥 Who it's for - Traders and quant hobbyists comparing odds across venues. - Journalists and researchers covering prediction markets. - Dashboard, newsletter, and bot builders. - Sports, politics, and crypto analysts tracking sentiment. - Data teams building normalized prediction-market datasets. ### Example tasks - [Scrape Polymarket election odds](https://apify.com/webdata_labs/prediction-markets-scraper/examples/scrape-polymarket-election-odds) - [Track crypto prediction markets](https://apify.com/webdata_labs/prediction-markets-scraper/examples/track-crypto-prediction-markets) - [Compare odds across Polymarket, Kalshi and Manifold](https://apify.com/webdata_labs/prediction-markets-scraper/examples/compare-odds-across-polymarket-kalshi-and-manifold) ### ⚙️ How to scrape prediction markets 1. Open the Actor on Apify. 2. Choose which platforms to scrape (all three by default). 3. Optionally add a keyword (for example `election`, `bitcoin`, `fed`) and pick open, closed, or all markets. 4. Choose how many markets to collect per platform. 5. Run the Actor. 6. Open the dataset view for `Markets` or `Platform summaries`. 7. Export JSON, CSV, Excel, HTML, RSS, or XML, or call the Actor through the Apify API. ### 📥 Input ```json { "platforms": ["polymarket", "kalshi", "manifold"], "status": "open", "keyword": "election", "maxMarketsPerPlatform": 200 } ```` ### 📤 Output ```json { "recordType": "market", "platform": "polymarket", "question": "Will JD Vance win the 2028 US Presidential Election?", "outcomes": ["Yes", "No"], "outcomePrices": [0.1925, 0.8075], "yesProbability": 0.1925, "favoriteOutcome": "No", "favoriteProbability": 0.8075, "volume": 14374508.43, "volumeUnit": "USD", "liquidity": 510789.8, "status": "open", "endDate": "2028-11-07T00:00:00Z", "url": "https://polymarket.com/event/will-jd-vance-win-the-2028-us-presidential-election" } ``` ### 💵 How much does it cost? The launch price is about `$2.00 / 1,000 markets`, tier-discounted for higher Apify plans. One market is one charged result; per-platform summary rows are part of the same output. ### 🔁 Run it on the Apify platform Schedule recurring odds refreshes, call it from the Apify API, export to CSV/JSON/Excel, or connect the dataset to Make, Zapier, webhooks, a warehouse, or an LLM pipeline. ### ⚠️ Limits and caveats - This Actor reads the public APIs of Polymarket, Kalshi, and Manifold. It is not affiliated with them and provides no trading advice. - **Volume units differ by platform** and are not directly comparable: Polymarket is USD, Kalshi is contract count, Manifold is mana (play-money). The `volumeUnit` field on every row makes the unit explicit. - Manifold multiple-choice markets do not have a single Yes probability, so `yesProbability` is null for them; binary markets are fully priced. - Kalshi data is read from its events feed (real, categorized markets) rather than the raw markets feed, which is dominated by auto-generated low-volume combinations. - Markets are a live snapshot at run time; this Actor is not a full historical orderbook archive. ### 🧩 Related Actors - Website Tech Stack Detector - find the tools a company's site runs. - Trustpilot Review Scraper - company reviews with themes and sentiment. - Greenhouse, Lever & Ashby Jobs Scraper - open roles across the top startup ATS. - Shopify Store Analyzer - catalog and contact intelligence for Shopify stores. ### ❓ FAQ #### Which markets does it return by default? Open markets across all three platforms, ordered by popularity/volume where the platform supports it. Use the keyword filter to narrow to a topic. #### How is implied probability calculated? For binary markets, the outcome price (0-1) is the implied probability. Kalshi uses the last traded price (or the mid of the yes bid/ask when there is no last trade). Polymarket and Manifold expose the probability directly. #### Can I compare the same event across platforms? Yes - run all three platforms with a shared keyword (for example a candidate or team name) and compare `yesProbability` per platform. A built-in cross-platform match key is on the roadmap. #### Does it need a proxy? No. These are public official APIs that work without a proxy. Enable Apify Proxy only on very large runs if you hit IP rate limits. ### 🛠️ Support For bugs or missing fields, open an Actor issue with the run URL, the platform, and the field or behavior you expected. # Actor input Schema ## `platforms` (type: `array`): Which prediction markets to scrape. All three are public JSON APIs, so any combination works. ## `status` (type: `string`): Which markets to include. Open = currently tradable, Closed = no longer trading, All = both. ## `keyword` (type: `string`): Optional. Only return markets whose question/title contains this text (case-insensitive). Examples: election, bitcoin, fed, super bowl. ## `maxMarketsPerPlatform` (type: `integer`): Maximum markets to collect from each selected platform. ## `proxyConfiguration` (type: `object`): Optional. These market APIs are public and work without a proxy; enable Apify Proxy only if you hit IP rate limits on very large runs. ## Actor input object example ```json { "platforms": [ "polymarket", "kalshi", "manifold" ], "status": "open", "maxMarketsPerPlatform": 200, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `OUTPUT` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "platforms": [ "polymarket", "kalshi", "manifold" ] }; // Run the Actor and wait for it to finish const run = await client.actor("webdata_labs/prediction-markets-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "platforms": [ "polymarket", "kalshi", "manifold", ] } # Run the Actor and wait for it to finish run = client.actor("webdata_labs/prediction-markets-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "platforms": [ "polymarket", "kalshi", "manifold" ] }' | apify call webdata_labs/prediction-markets-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=webdata_labs/prediction-markets-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Prediction Markets Scraper - Polymarket, Kalshi & Manifold", "description": "[💵 $2.00 / 1K] Scrape live prediction markets across Polymarket, Kalshi, and Manifold in one unified schema: odds, implied probability, prices, volume, and liquidity.", "version": "0.1", "x-build-id": "Nbh76pnoyO7G3BJpe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/webdata_labs~prediction-markets-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-webdata_labs-prediction-markets-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/webdata_labs~prediction-markets-scraper/runs": { "post": { "operationId": "runs-sync-webdata_labs-prediction-markets-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/webdata_labs~prediction-markets-scraper/run-sync": { "post": { "operationId": "run-sync-webdata_labs-prediction-markets-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", "required": [ "platforms" ], "properties": { "platforms": { "title": "Platforms", "type": "array", "description": "Which prediction markets to scrape. All three are public JSON APIs, so any combination works.", "items": { "type": "string", "enum": [ "polymarket", "kalshi", "manifold" ], "enumTitles": [ "Polymarket", "Kalshi", "Manifold" ] }, "default": [ "polymarket", "kalshi", "manifold" ] }, "status": { "title": "Market status", "enum": [ "open", "closed", "all" ], "type": "string", "description": "Which markets to include. Open = currently tradable, Closed = no longer trading, All = both.", "default": "open" }, "keyword": { "title": "Keyword filter", "type": "string", "description": "Optional. Only return markets whose question/title contains this text (case-insensitive). Examples: election, bitcoin, fed, super bowl." }, "maxMarketsPerPlatform": { "title": "Max markets per platform", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum markets to collect from each selected platform.", "default": 200 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Optional. These market APIs are public and work without a proxy; enable Apify Proxy only if you hit IP rate limits on very large runs.", "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 } } } } } } } } } } ```