# Polymarket Prediction Markets & Odds Scraper (`scrapers_lat/polymarket-markets-scraper`) Actor
Scrape Polymarket prediction markets with live outcome odds, trading volume, liquidity, order book best bid and ask, price changes and resolution details. Filter by status, category or keyword. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/polymarket-markets-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** News, Business, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.40 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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 Markets & Odds Scraper
> Track every Polymarket prediction market with live outcome odds, trading volume, liquidity and order book prices. Filter by status, category or keyword and export clean structured data for trading, research and journalism.
Live odds per outcome
Volume & liquidity plus best bid / ask
JSON / CSV / Excel output formats
### What you get
Each record is one prediction market, ready for a trading model, a dashboard or a spreadsheet:
- **question**: the market question
- **category** and **url**: the event it belongs to and a direct link
- **outcomes**: each outcome with its **price** (the implied probability, 0 to 1)
- **volume**, **volume24hr**, **volume1wk**: traded amounts
- **liquidity**: available liquidity
- **bestBid**, **bestAsk**, **spread**, **lastTradePrice**: current order book prices
- **oneDayPriceChange**, **oneWeekPriceChange**: recent price moves
- **active**, **closed**, **acceptingOrders**: trading state
- **startDate**, **endDate**: market window
- **resolutionSource**, **resolvedBy**, **conditionId**: resolution details
- **description**: the market rules
- **updatedAt** and **observedAt**: freshness
### Who is it for
| Use case | Who benefits |
|---|---|
| Trading and arbitrage | Quants and bots comparing odds and spotting mispriced markets |
| Research | Analysts studying how crowds price elections, sports and crypto |
| Journalism | Reporters citing live market-implied probabilities |
| Dashboards | Builders feeding odds and volume into their own apps |
### How to use it
1. Choose a **status** (active, closed or all) and a **sort** (volume, liquidity, newest or ending soon).
2. Optionally add a **search keyword** or a **category tag slug** to focus the results.
3. Set **Max Items** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**What do the outcome prices mean?**
Each outcome price is the market-implied probability of that outcome, from 0 to 1. For a Yes/No market a Yes price of 0.62 means the market prices the event at about 62 percent.
**Can I get only sports or only politics markets?**
Yes. Use the category tag slug (for example `sports`, `politics` or `crypto`), or a search keyword to keep only matching questions.
**Does it include resolved markets?**
Yes. Set status to closed to pull markets that have already resolved, or all to get both open and resolved markets in one run.
**How fresh is the data?**
Odds, volume and order book prices are read live at run time, so each record reflects the market at the moment of the run (see observedAt).
### Related scrapers
- [Yahoo Finance Scraper](https://apify.com/scrapers_lat/yahoo-finance-scraper)
- [Google News Scraper](https://apify.com/scrapers_lat/google-news-scraper)
- [SeatGeek Events Scraper](https://apify.com/scrapers_lat/seatgeek-events-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Polymarket. It only accesses publicly available market data. Use the results in accordance with the source's terms.
# Actor input Schema
## `status` (type: `string`):
Which markets to return: active (open for trading), closed (already resolved), or all.
## `sortBy` (type: `string`):
Order the markets by trading volume, liquidity, newest, or soonest to end.
## `searchQuery` (type: `string`):
Optional. Keep only markets whose question or category contains this text (for example 'election', 'bitcoin', 'world cup').
## `tagSlug` (type: `string`):
Optional. Restrict to one Polymarket category by its tag slug (for example 'sports', 'politics', 'crypto').
## `maxItems` (type: `integer`):
Maximum number of markets to collect. Optional.
## Actor input object example
```json
{
"status": "active",
"sortBy": "volume",
"maxItems": 50
}
````
# Actor output Schema
## `results` (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 = {
"maxItems": 50
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/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 = { "maxItems": 50 }
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/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 '{
"maxItems": 50
}' |
apify call scrapers_lat/polymarket-markets-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/polymarket-markets-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Polymarket Prediction Markets & Odds Scraper",
"description": "Scrape Polymarket prediction markets with live outcome odds, trading volume, liquidity, order book best bid and ask, price changes and resolution details. Filter by status, category or keyword. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "qi4kWTgQmzerVs8if"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~polymarket-markets-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~polymarket-markets-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-polymarket-markets-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~polymarket-markets-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-polymarket-markets-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"active",
"closed",
"all"
],
"type": "string",
"description": "Which markets to return: active (open for trading), closed (already resolved), or all.",
"default": "active"
},
"sortBy": {
"title": "Sort by",
"enum": [
"volume",
"liquidity",
"newest",
"endingSoon"
],
"type": "string",
"description": "Order the markets by trading volume, liquidity, newest, or soonest to end.",
"default": "volume"
},
"searchQuery": {
"title": "Search keyword",
"type": "string",
"description": "Optional. Keep only markets whose question or category contains this text (for example 'election', 'bitcoin', 'world cup')."
},
"tagSlug": {
"title": "Category tag slug",
"type": "string",
"description": "Optional. Restrict to one Polymarket category by its tag slug (for example 'sports', 'politics', 'crypto')."
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of markets to collect. Optional."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```