# Polymarket Prediction Market Scraper (`diverse_venture/polymarket-scraper`) Actor Scrape Polymarket prediction markets — active markets with prices, volumes, liquidity, whale trades ($10K+), and market analytics. No API key required. Outputs JSON, CSV, or Excel. - **URL**: https://apify.com/diverse\_venture/polymarket-scraper.md - **Developed by:** [Chak Man Fung](https://apify.com/diverse_venture) (community) - **Categories:** Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 real-time data from [Polymarket](https://polymarket.com) — the largest prediction market platform. Get active markets with prices, volumes, liquidity, and detect whale trades ($10K+). **No API key required.** Uses Polymarket's free public APIs. ### What it scrapes #### Markets - Question/title, Yes/No prices, 24h volume, total volume, liquidity - Optional metadata: slug, image, end date, category, condition ID #### Whale Trades - Trade direction (buy/sell), outcome (Yes/No), size in USD - Wallet pseudonym, transaction hash, timestamp ### Use cases - **Trading bots**: Feed market data into automated trading strategies - **Research**: Analyze prediction market accuracy and liquidity - **Dashboards**: Build real-time Polymarket monitoring tools - **Alerts**: Detect large trades and market movements - **Data analysis**: Export to CSV/Excel for analysis ### Input configuration | Parameter | Default | Description | |-----------|---------|-------------| | mode | "both" | "markets", "whale_trades", or "both" | | maxMarkets | 50 | Max markets to scrape (sorted by 24h volume) | | minVolume24h | 1000 | Min 24h volume filter (USD) | | minTradeSize | 5000 | Min trade size for whale detection (USD) | | maxTrades | 100 | Max whale trades to return | | includeMetadata | true | Include extra fields (slug, image, dates) | ### Output Results are stored in the default Apify dataset. Export as JSON, CSV, XML, or Excel. ### Example output ```json { "type": "market", "question": "Will BTC reach $100K by June 2026?", "yesPrice": 0.72, "noPrice": 0.28, "volume24h": 450000, "volume": 12500000, "liquidity": 890000 } ```` ### Cost This actor uses minimal compute. A typical run scraping 50 markets + 100 whale trades completes in under 10 seconds and costs less than $0.01 in Apify credits. # Actor input Schema ## `mode` (type: `string`): What data to collect. ## `maxMarkets` (type: `integer`): Maximum number of markets to scrape (sorted by 24h volume). ## `minVolume24h` (type: `integer`): Only include markets with at least this much 24h trading volume. ## `minTradeSize` (type: `integer`): Minimum trade size to capture as a 'whale' trade. ## `maxTrades` (type: `integer`): Maximum number of whale trades to return. ## `includeMetadata` (type: `boolean`): Include extra fields like slug, image URL, end date, and liquidity. ## Actor input object example ```json { "mode": "both", "maxMarkets": 50, "minVolume24h": 1000, "minTradeSize": 5000, "maxTrades": 100, "includeMetadata": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("diverse_venture/polymarket-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("diverse_venture/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 diverse_venture/polymarket-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=diverse_venture/polymarket-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Polymarket Prediction Market Scraper", "description": "Scrape Polymarket prediction markets — active markets with prices, volumes, liquidity, whale trades ($10K+), and market analytics. No API key required. Outputs JSON, CSV, or Excel.", "version": "1.0", "x-build-id": "TS4TFg0lKI5d3ykgQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/diverse_venture~polymarket-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-diverse_venture-polymarket-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/diverse_venture~polymarket-scraper/runs": { "post": { "operationId": "runs-sync-diverse_venture-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/diverse_venture~polymarket-scraper/run-sync": { "post": { "operationId": "run-sync-diverse_venture-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": "Scrape Mode", "enum": [ "markets", "whale_trades", "both" ], "type": "string", "description": "What data to collect.", "default": "both" }, "maxMarkets": { "title": "Max Markets", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of markets to scrape (sorted by 24h volume).", "default": 50 }, "minVolume24h": { "title": "Min 24h Volume (USD)", "minimum": 0, "type": "integer", "description": "Only include markets with at least this much 24h trading volume.", "default": 1000 }, "minTradeSize": { "title": "Min Whale Trade Size (USD)", "minimum": 100, "type": "integer", "description": "Minimum trade size to capture as a 'whale' trade.", "default": 5000 }, "maxTrades": { "title": "Max Trades", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of whale trades to return.", "default": 100 }, "includeMetadata": { "title": "Include Market Metadata", "type": "boolean", "description": "Include extra fields like slug, image URL, end date, and liquidity.", "default": true } } }, "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 } } } } } } } } } } ```