# Polymarket Scraper (`noximilian/polymarket-scraper`) Actor Scrape Polymarket prediction markets, events, order books, trades, and tags via public APIs. No auth, no browser, no captchas. - **URL**: https://apify.com/noximilian/polymarket-scraper.md - **Developed by:** [Noximilian](https://apify.com/noximilian) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## 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. 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 Scraper Scrape Polymarket prediction markets, events, order books, trades, and tags via public APIs. No auth, no browser, no captchas. ### Features - **Markets** — Fetch prediction markets with prices, volume, liquidity, outcomes, and resolution status - **Events** — Fetch event groupings (multiple markets under one question) - **Order Books** — Full bid/ask order book data for any market - **Trade History** — Recent trades with prices, sizes, and trader info - **Tags** — Discover all available categories for filtering All data comes from Polymarket's public Gamma, CLOB, and Data APIs. No authentication required. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `mode` | string | Yes | `markets`, `events`, `orderbook`, `trades`, or `tags` | | `queries` | array | No | Market/event slugs (leave empty to bulk-fetch all) | | `limit` | integer | No | Max results (default: 100) | | `closed` | boolean | No | Fetch closed/resolved markets instead of active (default: false) | | `order` | string | No | Sort field: `volume24hr`, `volume`, `liquidity`, `startDate`, `endDate`, `createdAt` | | `ascending` | boolean | No | Sort ascending (default: false = highest volume first) | | `includeOrderBook` | boolean | No | Fetch full order book for each market (default: false) | | `tagId` | integer | No | Filter by tag/category ID | ### Output #### Markets Each item: `id`, `question`, `slug`, `condition_id`, `description`, `outcomes`, `outcome_prices`, `best_bid`, `best_ask`, `last_trade_price`, `price_change_1h/1d/1w/1mo`, `volume`, `volume_24hr`, `liquidity`, `active`, `closed`, `start_date`, `end_date`, `category`, `order_books` (optional) #### Events Each item: `id`, `title`, `slug`, `description`, `category`, `volume`, `volume_24hr`, `liquidity`, `open_interest`, `market_count`, `market_ids`, `tags`, `start_date`, `end_date` #### Order Books Each item: `market_id`, `question`, `slug`, `order_books` (array of `{token_id, outcome, bids, asks, spread, mid_price}`) #### Trades Each item: `proxy_wallet`, `side`, `size`, `price`, `timestamp`, `title`, `slug`, `outcome`, `outcome_index`, `trader_name`, `transaction_hash` #### Tags Each item: `id`, `label`, `slug` ### Use Cases - Track prediction market prices for quantitative models - Monitor volume and liquidity trends across markets - Archive resolved markets for historical analysis - Build dashboards for political, sports, and crypto prediction markets - Extract order book depth for market making strategies - Track trader activity and positions ### Pricing - $3.00 per 1,000 results - $0.01 per actor start ### Examples #### Get top 100 active markets by 24h volume ```json {"mode": "markets", "limit": 100} ```` #### Get specific markets by slug with order books ```json {"mode": "markets", "queries": ["fed-decision-in-october", "will-bitcoin-hit-100k"], "includeOrderBook": true} ``` #### Get resolved markets sorted by total volume ```json {"mode": "markets", "closed": true, "order": "volume", "limit": 500} ``` #### Get all active events ```json {"mode": "events", "limit": 500} ``` #### Get order book for a specific market ```json {"mode": "orderbook", "queries": ["fed-decision-in-october"]} ``` #### Get recent trades for a market ```json {"mode": "trades", "queries": ["fed-decision-in-october"], "limit": 50} ``` #### Discover all categories/tags ```json {"mode": "tags"} ``` # Actor input Schema ## `mode` (type: `string`): What to scrape: markets, events, orderbook, trades, or tags ## `queries` (type: `array`): Market or event slugs (leave empty to bulk-fetch all). Example: fed-decision-in-october ## `limit` (type: `integer`): Maximum number of results (for bulk fetch and trades) ## `closed` (type: `boolean`): Fetch closed/resolved markets instead of active ones ## `order` (type: `string`): Field to sort results by ## `ascending` (type: `boolean`): Sort ascending (default: descending, highest volume first) ## `includeOrderBook` (type: `boolean`): Fetch full order book data for each market (slower but richer data) ## `tagId` (type: `integer`): Filter by tag/category ID (use tags mode to discover available IDs) ## Actor input object example ```json { "mode": "markets", "limit": 100, "closed": false, "order": "volume24hr", "ascending": false, "includeOrderBook": false } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("noximilian/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 = {} # Run the Actor and wait for it to finish run = client.actor("noximilian/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 '{}' | apify call noximilian/polymarket-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=noximilian/polymarket-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Polymarket Scraper", "description": "Scrape Polymarket prediction markets, events, order books, trades, and tags via public APIs. No auth, no browser, no captchas.", "version": "0.1", "x-build-id": "ZsA3mhTWZl66AF6rD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/noximilian~polymarket-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-noximilian-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/noximilian~polymarket-scraper/runs": { "post": { "operationId": "runs-sync-noximilian-polymarket-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/noximilian~polymarket-scraper/run-sync": { "post": { "operationId": "run-sync-noximilian-polymarket-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "markets", "events", "orderbook", "trades", "tags" ], "type": "string", "description": "What to scrape: markets, events, orderbook, trades, or tags", "default": "markets" }, "queries": { "title": "Queries", "type": "array", "description": "Market or event slugs (leave empty to bulk-fetch all). Example: fed-decision-in-october", "items": { "type": "string" } }, "limit": { "title": "Limit", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of results (for bulk fetch and trades)", "default": 100 }, "closed": { "title": "Include Closed/Resolved", "type": "boolean", "description": "Fetch closed/resolved markets instead of active ones", "default": false }, "order": { "title": "Sort Order", "enum": [ "volume24hr", "volume", "liquidity", "startDate", "endDate", "createdAt" ], "type": "string", "description": "Field to sort results by", "default": "volume24hr" }, "ascending": { "title": "Ascending", "type": "boolean", "description": "Sort ascending (default: descending, highest volume first)", "default": false }, "includeOrderBook": { "title": "Include Order Book", "type": "boolean", "description": "Fetch full order book data for each market (slower but richer data)", "default": false }, "tagId": { "title": "Tag ID", "type": "integer", "description": "Filter by tag/category ID (use tags mode to discover available IDs)" } } }, "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 } } } } } } } } } } ```