# Polymarket Prediction Market Scraper (`crawlerbros/polymarket-scraper`) Actor Scrape Polymarket prediction markets like search markets, trending by volume, browse events, fetch single market details, and get recently resolved markets. No auth required. - **URL**: https://apify.com/crawlerbros/polymarket-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 11 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Polymarket Prediction Market Scraper Scrape prediction market data from [Polymarket](https://polymarket.com) — the world's largest decentralized prediction market platform. Get real-time market probabilities, volumes, liquidity, and resolution data across categories like Politics, Sports, Crypto, Science, and more. No API key required. No authentication needed. ### What data can you scrape? - **Search markets** — find markets by keyword across all categories - **Trending markets** — top markets sorted by 24-hour trading volume - **Markets by event** — all markets within a specific event (e.g., "2024 US Election") - **Single market lookup** — full details for a market by its condition ID - **Resolved markets** — recently closed/resolved prediction markets ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | select | What to fetch: `search`, `trending`, `byEvent`, `byConditionId`, `resolved` | | `query` | string | Search keyword (mode=search or mode=byEvent) | | `conditionId` | string | Market condition ID (mode=byConditionId) | | `category` | select | Filter by category: Sports, Politics, Crypto, Science, Business, Entertainment, Pop Culture, Other | | `minVolume` | number | Filter markets below this total USD volume | | `resolvedOnly` | boolean | Only return resolved/closed markets (default: false) | | `activeOnly` | boolean | Only return currently active markets (default: true) | | `maxItems` | integer | Maximum records to emit (1–1000, default 50) | #### Example inputs **Trending markets:** ```json { "mode": "trending", "maxItems": 20 } ```` **Search politics markets:** ```json { "mode": "search", "query": "election", "category": "Politics", "maxItems": 50 } ``` **Get a specific market:** ```json { "mode": "byConditionId", "conditionId": "0x..." } ``` **Recently resolved markets:** ```json { "mode": "resolved", "maxItems": 100 } ``` ### Output Each record contains: | Field | Description | |-------|-------------| | `conditionId` | Unique market condition ID | | `marketSlug` | URL slug for the market | | `question` | The prediction question | | `description` | Market description and resolution criteria | | `outcomePrices` | Current probabilities as floats, e.g. \[0.97, 0.03] | | `outcomes` | Outcome labels, e.g. \["Yes", "No"] | | `volume` | Total trading volume (USD) | | `volume24hr` | 24-hour trading volume (USD) | | `liquidity` | Current market liquidity (USD) | | `startDate` | Market open date (ISO-8601) | | `endDate` | Market resolution date (ISO-8601) | | `resolved` | Whether the market has been resolved | | `active` | Whether the market is currently active | | `closed` | Whether the market is closed | | `resolutionSource` | Data source used for resolution | | `category` | Market category (Politics, Sports, Crypto, etc.) | | `image` | Market image URL | | `recordType` | Always "market" | | `siteName` | Always "Polymarket" | | `scrapedAt` | ISO-8601 scrape timestamp | #### Example output record ```json { "conditionId": "0xabc123...", "marketSlug": "will-trump-win-2024", "question": "Will Trump win the 2024 US Presidential Election?", "outcomePrices": [0.97, 0.03], "outcomes": ["Yes", "No"], "volume": 12500000.0, "volume24hr": 450000.0, "liquidity": 3200000.0, "startDate": "2024-01-01T00:00:00Z", "endDate": "2024-11-05T23:59:59Z", "resolved": true, "active": false, "closed": true, "category": "Politics", "image": "https://polymarket-upload.s3.amazonaws.com/...", "recordType": "market", "siteName": "Polymarket", "scrapedAt": "2026-05-10T12:00:00+00:00" } ``` ### Market Categories Sports, Politics, Crypto, Science, Business, Entertainment, Pop Culture, Other ### FAQ **Do I need an API key?** No. Polymarket's public Gamma API and CLOB API require no authentication. **What does `outcomePrices` represent?** The current market-implied probability for each outcome, expressed as a float between 0 and 1. For a YES/NO market, \[0.97, 0.03] means 97% chance of YES. **What is `conditionId`?** A unique identifier (hash) for each market on Polymarket's CLOB (Central Limit Order Book). You can use it in `byConditionId` mode to fetch a specific market. **Can I get historical data?** The scraper fetches current/live data. For resolved markets, use `mode=resolved`. **How is `volume24hr` different from `volume`?** `volume` is the all-time total trading volume; `volume24hr` is the rolling 24-hour volume used to rank trending markets. **What is `byEvent` mode?** Events are groups of related markets (e.g., "2024 US Presidential Election" contains multiple individual candidate markets). This mode searches for an event by name and returns all markets within it. # Actor input Schema ## `mode` (type: `string`): What to fetch from Polymarket. ## `query` (type: `string`): Keyword to search for (mode=search or mode=byEvent). ## `conditionId` (type: `string`): Polymarket condition ID of the specific market to fetch. ## `category` (type: `string`): Filter markets by category tag. ## `minVolume` (type: `number`): Filter out markets with total volume below this value. ## `resolvedOnly` (type: `boolean`): Only include resolved/closed markets. ## `activeOnly` (type: `boolean`): Only include currently active (open) markets. ## `maxItems` (type: `integer`): Maximum number of markets to emit. ## Actor input object example ```json { "mode": "trending", "query": "election", "category": "all", "resolvedOnly": false, "activeOnly": true, "maxItems": 5 } ``` # Actor output Schema ## `records` (type: `string`): Scraped records # 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 = { "mode": "trending", "query": "election", "category": "all", "resolvedOnly": false, "activeOnly": true, "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/polymarket-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 = { "mode": "trending", "query": "election", "category": "all", "resolvedOnly": False, "activeOnly": True, "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/polymarket-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 '{ "mode": "trending", "query": "election", "category": "all", "resolvedOnly": false, "activeOnly": true, "maxItems": 5 }' | apify call crawlerbros/polymarket-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/polymarket-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Polymarket Prediction Market Scraper", "description": "Scrape Polymarket prediction markets like search markets, trending by volume, browse events, fetch single market details, and get recently resolved markets. No auth required.", "version": "1.0", "x-build-id": "gzWazJfZtbhhdh3hX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~polymarket-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-polymarket-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/crawlerbros~polymarket-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-polymarket-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/crawlerbros~polymarket-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-polymarket-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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "trending", "byEvent", "byConditionId", "resolved" ], "type": "string", "description": "What to fetch from Polymarket.", "default": "trending" }, "query": { "title": "Search query", "type": "string", "description": "Keyword to search for (mode=search or mode=byEvent)." }, "conditionId": { "title": "Condition ID (mode=byConditionId)", "type": "string", "description": "Polymarket condition ID of the specific market to fetch." }, "category": { "title": "Category filter", "enum": [ "all", "Sports", "Politics", "Crypto", "Science", "Business", "Entertainment", "Pop Culture", "Other" ], "type": "string", "description": "Filter markets by category tag.", "default": "all" }, "minVolume": { "title": "Min total volume (USD)", "minimum": 0, "maximum": 1000000000, "type": "number", "description": "Filter out markets with total volume below this value." }, "resolvedOnly": { "title": "Resolved markets only", "type": "boolean", "description": "Only include resolved/closed markets.", "default": false }, "activeOnly": { "title": "Active markets only", "type": "boolean", "description": "Only include currently active (open) markets.", "default": true }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of markets to emit.", "default": 5 } } }, "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 } } } } } } } } } } ```