# Polymarket Markets Scraper (`felt/polymarket-markets-scraper`) Actor Scrapes markets and events from Polymarket's public Gamma API with pagination and filtering. - **URL**: https://apify.com/felt/polymarket-markets-scraper.md - **Developed by:** [FELT Labs](https://apify.com/felt) (community) - **Categories:** Automation, Developer tools, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.10 / 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 Markets Scraper Scrapes markets and events from Polymarket's public Gamma API with pagination and filtering. It can also fetch public price history (Yes/No odds over time) for each market outcome. Example input: ```json { "status": "open", "maxMarkets": 250, "searchTerm": "election", "includeEvents": true, "includePriceHistory": false } ```` Advanced input (optional): `minVolume` / `minLiquidity` (USD filters), `priceHistoryInterval` (Hourly / Every 6 hours / Daily / Weekly), `historyStartDate` / `historyEndDate` (`YYYY-MM-DD`), `marketSlugs` (keep only these slugs), `outcomeTokenIds` (fetch history for specific outcome tokens), and `discoverMarkets` (turn off to only pull price history for `outcomeTokenIds`). Operational notes: - No authentication required — uses the public Gamma API at `https://gamma-api.polymarket.com`. - `searchTerm` keeps markets whose question or slug contains the text; `minVolume` / `minLiquidity` filter by USD size. - Markets include parsed outcomes, outcome prices, volume, liquidity, and outcome token IDs. - Events include nested market IDs and tags. - Price history uses the public CLOB `/prices-history` endpoint. - Pagination stops when a short page is returned or `maxMarkets` is reached. # Actor input Schema ## `status` (type: `string`): Which markets to include. ## `maxMarkets` (type: `integer`): How many markets (and events) to collect. ## `searchTerm` (type: `string`): Optional. Only keep markets whose question or slug contains this text (for example "election" or "bitcoin"). ## `includeEvents` (type: `boolean`): Also collect events (groups of related markets, with their tags). ## `includePriceHistory` (type: `boolean`): Also collect the price chart over time for each market outcome (Yes/No odds history). ## `minVolume` (type: `number`): Only keep markets with at least this much total traded volume in USD. ## `minLiquidity` (type: `number`): Only keep markets with at least this much liquidity in USD. ## `priceHistoryInterval` (type: `string`): How often to sample the price chart when "Include price history" is on. ## `historyStartDate` (type: `string`): Optional. Only fetch price history on or after this date (YYYY-MM-DD). ## `historyEndDate` (type: `string`): Optional. Only fetch price history on or before this date (YYYY-MM-DD). ## `marketSlugs` (type: `array`): Optional. Keep only markets with these exact slugs (from the market's Polymarket URL). ## `outcomeTokenIds` (type: `array`): Optional. Fetch price history for these specific outcome token IDs directly. Combine with turning "Include events" off to only pull price history. ## `discoverMarkets` (type: `boolean`): Browse and collect markets. Turn this off to only fetch price history for the outcome token IDs above. ## Actor input object example ```json { "status": "open", "maxMarkets": 250, "includeEvents": true, "includePriceHistory": false, "minVolume": 0, "minLiquidity": 0, "priceHistoryInterval": "1d", "discoverMarkets": true } ``` # Actor output Schema ## `markets` (type: `string`): No description ## `events` (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("felt/polymarket-markets-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("felt/polymarket-markets-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 felt/polymarket-markets-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=felt/polymarket-markets-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Polymarket Markets Scraper", "description": "Scrapes markets and events from Polymarket's public Gamma API with pagination and filtering.", "version": "0.1", "x-build-id": "6zgcBT2j0YxjGunzR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/felt~polymarket-markets-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-felt-polymarket-markets-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/felt~polymarket-markets-scraper/runs": { "post": { "operationId": "runs-sync-felt-polymarket-markets-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/felt~polymarket-markets-scraper/run-sync": { "post": { "operationId": "run-sync-felt-polymarket-markets-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "status": { "title": "Market status", "enum": [ "open", "closed", "all" ], "type": "string", "description": "Which markets to include.", "default": "open" }, "maxMarkets": { "title": "Max markets", "minimum": 1, "maximum": 5000, "type": "integer", "description": "How many markets (and events) to collect.", "default": 250 }, "searchTerm": { "title": "Search term", "type": "string", "description": "Optional. Only keep markets whose question or slug contains this text (for example \"election\" or \"bitcoin\")." }, "includeEvents": { "title": "Include events", "type": "boolean", "description": "Also collect events (groups of related markets, with their tags).", "default": true }, "includePriceHistory": { "title": "Include price history", "type": "boolean", "description": "Also collect the price chart over time for each market outcome (Yes/No odds history).", "default": false }, "minVolume": { "title": "Minimum volume (USD)", "minimum": 0, "type": "number", "description": "Only keep markets with at least this much total traded volume in USD.", "default": 0 }, "minLiquidity": { "title": "Minimum liquidity (USD)", "minimum": 0, "type": "number", "description": "Only keep markets with at least this much liquidity in USD.", "default": 0 }, "priceHistoryInterval": { "title": "Price history interval", "enum": [ "1h", "6h", "1d", "1w" ], "type": "string", "description": "How often to sample the price chart when \"Include price history\" is on.", "default": "1d" }, "historyStartDate": { "title": "Price history start date", "type": "string", "description": "Optional. Only fetch price history on or after this date (YYYY-MM-DD)." }, "historyEndDate": { "title": "Price history end date", "type": "string", "description": "Optional. Only fetch price history on or before this date (YYYY-MM-DD)." }, "marketSlugs": { "title": "Market slugs", "type": "array", "description": "Optional. Keep only markets with these exact slugs (from the market's Polymarket URL).", "items": { "type": "string" } }, "outcomeTokenIds": { "title": "Outcome token IDs", "type": "array", "description": "Optional. Fetch price history for these specific outcome token IDs directly. Combine with turning \"Include events\" off to only pull price history.", "items": { "type": "string" } }, "discoverMarkets": { "title": "Discover markets", "type": "boolean", "description": "Browse and collect markets. Turn this off to only fetch price history for the outcome token IDs above.", "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 } } } } } } } } } } ```