# 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:** Other - **Stats:** 6 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $50.00 / 1,000 actor starts 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 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 } } } } } } } } } } ```