Polymarket Scraper 🕵️‍♂️💰

Overview

Welcome to Polymarket Scraper! This Apify actor allows you to efficiently scrape detailed data from up to 1,000 markets on Polymarket. Polymarket is a leading platform for betting on real-world outcomes, and this scraper can help you extract key insights in less than 5 minutes! 🚀

You can scrape markets from either:

• Top Markets 🌟 (most popular bets)
• New Markets 🆕 (recently created bets)

Features 🛠️

The Polymarket Scraper extracts the following fields:

Market Information 📊

• Market Question: The primary question being bet on.
• Market Creation Date: The date when the market was created.
• Market End Date: The date when the market closes.
• Market Link: A direct link to the market.
• Market Description: Additional context or details about the market.

Market Metrics 📈

• Market Chance: The probability assigned to the market outcome.
• Market Liquidity: The current liquidity available in the market.
• Market Volume: The total volume of trades in the market.
• Market Volume 24h: The trading volume in the last 24 hours.
• Market One Day Price Change: The price change of the market in the past day.

Market Outcomes ✅❌

• Market Yes Price: The current price for "Yes" outcomes.
• Market No Price: The current price for "No" outcomes.
• Market Spread: The spread between "Yes" and "No" prices.

Additional Details 🧐

• Market Closed: Whether the market is closed (true/false).
• Market Rewards Amount: Total rewards available for market participants.
• Market Rewards Daily Rate: The daily reward rate for the market.
• Market Number of Comments: Number of comments on the market.

Here is an example of output:

How to Use 🤔

1. Deploy the Actor: Use the Apify platform to deploy this actor.
2. Configure Search Type: Choose whether to scrape from "Top" or "New" markets.
3. Set the number of Markets to scrape: The actor will fetch up to 1,500 markets and return the data in JSON format.

Output Format 📂

The data will be output as a JSON file with the fields described above. Here’s an example:

{
  "market_chance": 0.378,
  "market_closed": false,
  "market_creation_date": "2024-11-06T17:37:50.143923Z",
  "market_description": "This market will resolve to \"Yes\" if the data for the Global Land-Ocean Temperature Index for November 2024 shows an increase of between 1.25°C (inclusive) 1.29°C (inclusive) and  when it is released. Otherwise, this market will resolve to \"No\".\n\nAn anomaly of between 1.25°C and 1.29°C for November 2024 is necessary and sufficient to resolve this market to \"Yes\" immediately once the data becomes available regardless of whether the figure for November 2024 is later revised.\n\nThe primary resolution source for this market will be the figure found in the table titled \"GLOBAL Land-Ocean Temperature Index in 0.01 degrees Celsius\" under the column \"Nov\" in the row \"2024\" (https://data.giss.nasa.gov/gistemp/tabledata_v4/GLB.Ts+dSST.txt). If NASA's \"Global Temperature Index\" is rendered permanently unavailable, other information from NASA may be used. If no information for November 2024 is provided by NASA by March 1, 2025, 11:59 PM ET, this market will resolve \"Yes\".",
  "market_end_date": "2024-11-30",
  "market_link": "https://polymarket.com/event/november-2024-temperature-increase-c",
  "market_liquidity": 759.29223,
  "market_no_price": "0.733",
  "market_num_comments": 81,
  "market_one_day_price_change": -0.073,
  "market_question": "Will the November 2024 temperature increase be between 1.25-1.29°C?",
  "market_rewards_amount": 0,
  "market_rewards_daily_rate": 30,
  "market_spread": 0.222,
  "market_volume": 118542.594316,
  "market_volume_24": 10676.831175,
  "market_yes_price": "0.267"
}

Use Cases 🌟

• Market Research: Analyze trends and probabilities for real-world events.
• Trading Strategies: Use metrics like liquidity, volume, and spreads to develop better trading approaches.
• Data Analysis: Dive deep into market metrics for statistical analysis or machine learning models.

Limitations ⚠️

• The scraper retrieves data only from the "Top" or "New" sections.