# Polymarket API no limit | Scraper/Screener | API V3 (`yellowchimp/polymarket`) Actor API for Agentic AI on Polymarket. Automate data extraction for markets, events, and price feeds. Features high-speed crawling and clean JSON formatting designed for developers building trading bots and market analysis tools. Structured JSON and Apify Dataset. Awarded best 2026. - **URL**: https://apify.com/yellowchimp/polymarket.md - **Developed by:** [INFO-YC Studios](https://apify.com/yellowchimp) (community) - **Categories:** Developer tools, Integrations, News - **Stats:** 18 total users, 2 monthly users, 100.0% runs succeeded, 4 bookmarks - **User rating**: No ratings yet ## Pricing $1.99 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Market Data Scraper - Flexible API Access (✅ 04/2026 Upgrade) QUICK GUIDE This Actor is a powerful tool for fetching data from the Polymarket API. It offers three primary modes: fetching a single market by ID or Slug, searching for markets based on a query, or performing a comprehensive, paginated crawl of all markets. All results are pushed to the Dataset as individual JSON records. #### Input Examples You must provide **only one** of the primary fetch parameters (`marketId`, `marketSlug`, or `searchQuery`). If none are provided, the Actor defaults to a **Full Market Crawl**. | Mode | Input JSON Example | |------|-------------------| | Market Search (e.g., for "SpaceX" including closed markets) | `{ "searchQuery": "SpaceX" }` | | Full Market Crawl (Default) | `{ "batchSize": 100, "fetchClosedMarkets": false, "sortAscending": true }` | | Single Market by ID | `{ "marketId": "98374" }` | ### ⚙️ Input Configuration | Field Name | Type | Default | Description | Fetch Mode | |-----------|------|---------|-------------|-----------| | marketId | String | null | Fetches a single specific market using its unique numerical ID (e.g., "98374"). Takes highest priority. | Single Market by ID | | marketSlug | String | null | Fetches a single specific market using its URL slug (e.g., "spacex-ipo-closing-market-cap"). Takes second priority. | Single Market by Slug | | searchQuery | String | null | A keyword or phrase (e.g., "Trump", "SpaceX") to search for markets using the `/public-search` endpoint. Results are correctly saved to the Dataset. | Market Search | | batchSize | Number | 50 | The number of markets to fetch per API call when searching or performing a full crawl. | Search & Full Crawl | | fetchClosedMarkets | Boolean | false | If true, the scraper will include markets that are already closed or resolved. | Search & Full Crawl | | sortAscending | Boolean | false | Determines the order of results when performing a full crawl (false = descending by market ID). | Full Crawl Only | ### 🚀 Fetch Modes & Priority The Actor executes **exactly one** of the following modes, checked in this order: 1. **Single Market by ID (`marketId`)** Endpoint: `/markets/{marketId}` Behavior: Fetches a single JSON object for the specified market. 2. **Single Market by Slug (`marketSlug`)** Endpoint: `/markets/slug/{marketSlug}` Behavior: Fetches a single JSON object for the specified market. 3. **Market Search (`searchQuery`)** Endpoint: `/public-search` Behavior: Searches for markets matching the query. Results are extracted from the `events` array and individually saved to the Dataset. 4. **Full Market Crawl (Default)** Endpoint: `/events` Behavior: Paginates through all available markets when no specific fetch parameters are provided. ### 💾 Output and Data Structure All fetched markets are stored in the Dataset using: `Actor.push_data(data)` The output format mirrors the Polymarket API response: ```json { "id": "98374", "ticker": "spacex-ipo-closing-market-cap", "slug": "spacex-ipo-closing-market-cap", "title": "SpaceX IPO Closing Market Cap", "description": "This market will resolve based on SpaceX's market capitalization...", "resolutionSource": "", "startDate": "2025-12-06T01:34:37.744882Z", "endDate": "2027-12-31T00:00:00Z", "liquidity": 144425.35661, "volume": 298198.233994, "markets": [ { "id": "842087", "question": "Will SpaceX's market cap be between $500B and $600B...", "outcomePrices": ["0.015", "0.985"], "volume": "28286.541268", "liquidityNum": 16074.91576 } ] } ```` #### 💡 Use Cases - Quantitative Market Analysis: Collect large datasets for backtesting strategies. - Forecasting & Trends: Track prediction markets for politics, tech, and economics. - Archiving: Build historical datasets using Full Market Crawl with fetchClosedMarkets: true. - Industry Monitoring: Track new markets for specific industries or technologies via searchQuery. # Actor input Schema ## `marketId` (type: `string`): The unique ID (UUID) of a specific market to fetch (e.g., '140e70a0-0010-47b2-bd77-2e11d6b039f6'). If this is provided, all other fetch/search options are ignored. ## `marketSlug` (type: `string`): The human-readable slug of a specific market to fetch (e.g., 'will-bitcoin-price-be-over-50k-on-date'). If this is provided, all other fetch/search options are ignored. ## `searchQuery` (type: `string`): A keyword or phrase to search for. If provided, the dedicated /public-search endpoint is used, where Batch Size is mapped to 'limit\_per\_type' and Fetch Closed Markets is mapped to 'keep\_closed\_markets'. ## `maxItems` (type: `integer`): Maximum number of items to scrape globally. Set to 0 for unlimited. ## `batchSize` (type: `integer`): The number of items to fetch per API request. This is used as the 'limit' for /events and 'limit\_per\_type' for /public-search. Default is 50. ## `fetchClosedMarkets` (type: `boolean`): Set to true to fetch all markets, including closed/resolved ones. Mapped to 'closed' for /events and 'keep\_closed\_markets=1' for /public-search. Default is false. ## `sortAscending` (type: `boolean`): If true, results are sorted ascending. Mapped to 'ascending' for both /events and /public-search. ## Actor input object example ```json { "marketId": "", "marketSlug": "", "searchQuery": "", "maxItems": 0, "batchSize": 50, "fetchClosedMarkets": false, "sortAscending": 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("yellowchimp/polymarket").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("yellowchimp/polymarket").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 yellowchimp/polymarket --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=yellowchimp/polymarket", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Polymarket API no limit | Scraper/Screener | API V3", "description": "API for Agentic AI on Polymarket. Automate data extraction for markets, events, and price feeds. Features high-speed crawling and clean JSON formatting designed for developers building trading bots and market analysis tools. Structured JSON and Apify Dataset. Awarded best 2026.", "version": "0.0", "x-build-id": "qkpu78JwztUqReYfU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/yellowchimp~polymarket/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-yellowchimp-polymarket", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/yellowchimp~polymarket/runs": { "post": { "operationId": "runs-sync-yellowchimp-polymarket", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/yellowchimp~polymarket/run-sync": { "post": { "operationId": "run-sync-yellowchimp-polymarket", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "batchSize", "fetchClosedMarkets", "sortAscending" ], "properties": { "marketId": { "title": "Market ID (Specific Market Lookup)", "type": "string", "description": "The unique ID (UUID) of a specific market to fetch (e.g., '140e70a0-0010-47b2-bd77-2e11d6b039f6'). If this is provided, all other fetch/search options are ignored.", "default": "" }, "marketSlug": { "title": "Market Slug (Specific Market Lookup)", "type": "string", "description": "The human-readable slug of a specific market to fetch (e.g., 'will-bitcoin-price-be-over-50k-on-date'). If this is provided, all other fetch/search options are ignored.", "default": "" }, "searchQuery": { "title": "Search Query (Optional)", "type": "string", "description": "A keyword or phrase to search for. If provided, the dedicated /public-search endpoint is used, where Batch Size is mapped to 'limit_per_type' and Fetch Closed Markets is mapped to 'keep_closed_markets'.", "default": "" }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of items to scrape globally. Set to 0 for unlimited.", "default": 0 }, "batchSize": { "title": "Batch Size", "type": "integer", "description": "The number of items to fetch per API request. This is used as the 'limit' for /events and 'limit_per_type' for /public-search. Default is 50.", "default": 50 }, "fetchClosedMarkets": { "title": "Fetch Closed Markets", "type": "boolean", "description": "Set to true to fetch all markets, including closed/resolved ones. Mapped to 'closed' for /events and 'keep_closed_markets=1' for /public-search. Default is false.", "default": false }, "sortAscending": { "title": "Sort Ascending", "type": "boolean", "description": "If true, results are sorted ascending. Mapped to 'ascending' for both /events and /public-search.", "default": 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 } } } } } } } } } } ```