# Polymarket Market Scraper (`parsebird/polymarket-market-scraper`) Actor Scrape Polymarket prediction markets with prices, volume, liquidity, and outcomes. Filter by category, status, keyword, and minimum volume. Sort by volume, liquidity, newest, or closing soon. - **URL**: https://apify.com/parsebird/polymarket-market-scraper.md - **Developed by:** [ParseBird](https://apify.com/parsebird) (community) - **Categories:** Automation, Agents, News - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.49 / 1,000 polymarket market data 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 Scraper Scrape [Polymarket](https://polymarket.com) prediction markets with real-time prices, volume, liquidity, and outcomes. Filter by category, status, keyword, and minimum volume. Sort by volume, liquidity, newest, or closing soon. Fast API-based scraping — no browser needed.
Extract Polymarket prediction market data — questions, outcome prices, volume, liquidity, bid/ask spreads, and price changes — powered by public APIs for maximum speed and reliability.

ParseBird Polymarket Suite   •  Prediction market data at scale
 Leaderboard
Top traders, wallets, P&L, positions 		 Markets
➤ You are here 		 Rewards
Daily reward rates, spreads, competitiveness
##### Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor. ```` parsebird/polymarket-market-scraper on Apify. Call: ApifyClient("TOKEN").actor("parsebird/polymarket-market-scraper").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: category (string, ""/"politics"/"sports"/"crypto"/"pop-culture"/"finance"/"science"/"tech"/"ai", default ""), status (string, "active"/"closed"/"all", default "active"), minVolume (number, default 0), maxResults (integer, 1-5000, default 100), keyword (string, default ""), sortBy (string, "volume"/"liquidity"/"newest"/"closingSoon", default "volume"). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parsebird~polymarket-market-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations ```` ### What does Polymarket Market Scraper do? This Actor scrapes Polymarket's prediction markets via their public events API. It fetches market data including questions, outcome prices, trading volume, liquidity, bid/ask spreads, and price changes — all without a browser. For each market, the scraper collects: - **Market data** — question, outcomes, outcome prices, last trade price, bid/ask spread - **Volume metrics** — total volume, 24h volume - **Liquidity** — current market liquidity - **Price changes** — 1-day price change - **Status** — active/closed, end date - **Event context** — parent event title, slug, market URL ### Why scrape Polymarket? - **Market research** — Track prediction market prices and volumes across politics, sports, crypto, and more - **Trading signals** — Monitor price movements, volume spikes, and liquidity changes - **Data analysis** — Build datasets of prediction market data for research, modeling, or dashboards - **Event tracking** — Find markets closing soon or newly created markets - **Keyword monitoring** — Search for specific topics (e.g., "bitcoin", "election", "AI") across all markets - **Portfolio tools** — Feed market data into trading tools, spreadsheets, or analytics platforms ### How to use 1. Go to the [Polymarket Market Scraper](https://apify.com/parsebird/polymarket-market-scraper) page on Apify Store 2. Click **Try for free** 3. Configure your input: - **Category** — All, Politics, Sports, Crypto, Pop Culture, Finance, Science, Tech, AI - **Status** — Active (trading), Closed (resolved), or All - **Minimum Volume** — Filter out low-volume markets - **Max Results** — How many markets to return (1–5,000) - **Keyword** — Search for specific topics - **Sort By** — Volume, Liquidity, Newest, or Closing Soon 4. Click **Start** and wait for the run to finish 5. Download your data in JSON, CSV, Excel, or connect via API ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `category` | enum | `""` (all) | Market category: Politics, Sports, Crypto, Pop Culture, Finance, Science, Tech, AI | | `status` | enum | `active` | Market status: `active`, `closed`, `all` | | `minVolume` | number | `0` | Minimum total volume in USD | | `maxResults` | integer | `100` | Maximum markets to return (1–5,000) | | `keyword` | string | `""` | Search for specific topics (case-insensitive) | | `sortBy` | enum | `volume` | Sort by: `volume`, `liquidity`, `newest`, `closingSoon` | ### Output data Each result represents one prediction market: | Field | Type | Description | |-------|------|-------------| | `question` | string | Market question | | `outcomes` | array | Outcome labels (e.g., ["Yes", "No"]) | | `outcomePrices` | array | Outcome prices (e.g., [0.55, 0.45]) | | `volume` | number | Total trading volume (USD) | | `volume24hr` | number | 24-hour trading volume | | `liquidity` | number | Current market liquidity | | `bestBid` | number | Best bid price | | `bestAsk` | number | Best ask price | | `lastTradePrice` | number | Last trade price | | `spread` | number | Bid-ask spread | | `oneDayPriceChange` | number | 24-hour price change | | `active` | boolean | Whether the market is actively trading | | `closed` | boolean | Whether the market is closed/resolved | | `endDate` | string | Market resolution deadline | | `description` | string | Resolution criteria (truncated to 500 chars) | | `eventTitle` | string | Parent event title | | `eventSlug` | string | Parent event slug | | `slug` | string | Market slug | | `marketUrl` | string | Full Polymarket URL | | `scrapedAt` | string | ISO timestamp of when the data was scraped | #### Example output ```json { "eventTitle": "Presidential Election Winner 2028", "eventSlug": "presidential-election-winner-2028", "question": "Will JD Vance win the 2028 US Presidential Election?", "outcomes": ["Yes", "No"], "outcomePrices": [0.32, 0.68], "volume": 15000000.50, "volume24hr": 250000.00, "liquidity": 500000.00, "bestBid": 0.31, "bestAsk": 0.33, "lastTradePrice": 0.32, "spread": 0.02, "oneDayPriceChange": -0.03, "active": true, "closed": false, "endDate": "2028-11-05T00:00:00Z", "description": "This market will resolve to 'Yes' if JD Vance wins the 2028 US Presidential Election...", "slug": "will-jd-vance-win-2028-presidential-election", "marketUrl": "https://polymarket.com/event/presidential-election-winner-2028", "scrapedAt": "2026-04-12T10:00:00.000Z" } ```` ### Use with the Apify API ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("parsebird/polymarket-market-scraper").call(run_input={ "category": "politics", "status": "active", "minVolume": 100000, "maxResults": 50, "sortBy": "volume", }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): prices = item.get("outcomePrices", []) yes_price = prices[0] if prices else "N/A" print(f"{item['question'][:60]} — YES: {yes_price} — Vol: ${item['volume']:,.0f}") ``` ### Pricing This Actor uses **Pay-per-event** pricing: | Event | Cost | Rate | |-------|------|------| | `pm-market-data` | $0.00149 | $1.49 per 1,000 markets | Each market returned incurs one charge. **Cost examples:** - 100 markets (default): $0.15 - 500 markets: $0.75 - 1,000 markets: $1.49 - 5,000 markets: $7.45 You only pay for the markets actually returned. ### Tips and best practices - **Start with defaults** — Run with default settings to see the most popular markets by volume. - **Use keyword search** — The `keyword` filter searches event titles, market questions, and descriptions. Great for finding specific topics. - **Filter by volume** — Set `minVolume` to filter out illiquid or inactive markets. A good starting point is $10,000+. - **Closing soon** — Use `sortBy: closingSoon` to find markets about to resolve — useful for time-sensitive trading. - **Category browsing** — Use `category` to focus on specific verticals like politics, sports, or crypto. - **Schedule regular runs** — Set up hourly or daily runs to track price and volume changes over time. - **No browser needed** — This Actor uses Polymarket's public REST APIs directly, so it's fast and doesn't require Playwright or residential proxies. ### Integrations Connect this Actor to your workflow: - **Google Sheets** — Export results directly - **Webhooks** — Trigger actions when new data arrives - **API** — Access data programmatically via the Apify API - **Zapier / Make** — Automate downstream workflows ### Limitations - Polymarket's events API caps pages at 500 events. For very large scrapes (5,000+ markets), the Actor paginates automatically. - Keyword search is client-side (the API doesn't support server-side text search), so it may take longer when searching across all categories. - Some markets may have `null` values for `bestBid`, `bestAsk`, or `spread` if the order book is empty. - Market descriptions are truncated to 500 characters to keep output manageable. - Volume and liquidity data reflects the current snapshot and may change rapidly. # Actor input Schema ## `category` (type: `string`): Filter markets by category. Leave empty to include all categories. ## `status` (type: `string`): Filter by market status. Active = currently trading, Closed = resolved, All = both. ## `minVolume` (type: `number`): Only include markets with total volume above this threshold (in USD). Set to 0 to include all. ## `maxResults` (type: `integer`): Maximum number of markets to return. ## `keyword` (type: `string`): Search for specific topics. Filters markets where the event title, market question, or description contains this keyword (case-insensitive). Leave empty to skip. ## `sortBy` (type: `string`): How to sort the results. ## Actor input object example ```json { "category": "", "status": "active", "minVolume": 0, "maxResults": 100, "keyword": "", "sortBy": "volume" } ``` # Actor output Schema ## `dataset` (type: `string`): No description # 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("parsebird/polymarket-market-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("parsebird/polymarket-market-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 parsebird/polymarket-market-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parsebird/polymarket-market-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Polymarket Market Scraper", "description": "Scrape Polymarket prediction markets with prices, volume, liquidity, and outcomes. Filter by category, status, keyword, and minimum volume. Sort by volume, liquidity, newest, or closing soon.", "version": "1.1", "x-build-id": "jCApWzi8dlFv4c4e5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parsebird~polymarket-market-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parsebird-polymarket-market-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parsebird~polymarket-market-scraper/runs": { "post": { "operationId": "runs-sync-parsebird-polymarket-market-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parsebird~polymarket-market-scraper/run-sync": { "post": { "operationId": "run-sync-parsebird-polymarket-market-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "category": { "title": "Category", "enum": [ "", "politics", "sports", "crypto", "pop-culture", "finance", "science", "tech", "ai" ], "type": "string", "description": "Filter markets by category. Leave empty to include all categories.", "default": "" }, "status": { "title": "Market Status", "enum": [ "active", "closed", "all" ], "type": "string", "description": "Filter by market status. Active = currently trading, Closed = resolved, All = both.", "default": "active" }, "minVolume": { "title": "Minimum Volume (USD)", "minimum": 0, "type": "number", "description": "Only include markets with total volume above this threshold (in USD). Set to 0 to include all.", "default": 0 }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of markets to return.", "default": 100 }, "keyword": { "title": "Keyword Search", "type": "string", "description": "Search for specific topics. Filters markets where the event title, market question, or description contains this keyword (case-insensitive). Leave empty to skip.", "default": "" }, "sortBy": { "title": "Sort By", "enum": [ "volume", "liquidity", "newest", "closingSoon" ], "type": "string", "description": "How to sort the results.", "default": "volume" } } }, "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 } } } } } } } } } } ```