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Events (grouped, with nested markets) Polymarket

Extract Polymarket Prediction Market data filtered by Events (grouped, with nested markets). Export structured results ready for analysis, lead generation, or

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Polymarket Prediction Market Scraper
Polymarket Prediction Market Scraperparseforge/polymarket-scraper
Image
Title
URL
ID
+31 fields
Text
Number
Boolean
List
Object

Input

Scrape mode:events
Maximum markets:10
Status:active
Sort by:volume24hr
Sort direction:desc
Include orderbook depth:false

Output fields

Image
Title
URL
ID
Slug
Type
Category
Status
Outcomes
Outcome Prices
Best Bid
Best Ask
Last Trade Price
Spread
Total Volume
Volume 24h
Volume 1w
Volume 1m
Volume 1y
Liquidity
Open Interest
Price Change 24h
Price Change 1w
Price Change 1m
Competitiveness
Tags
Description
Start Date
End Date
Resolution Source
Markets Count
Markets
Orderbook
Scraped At
Error

How it works

Sign up on Apify or log in

The Polymarket Prediction Market Scraper Actor is ready to run with the inputs already set for "Events (grouped, with nested markets) Polymarket". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Events (grouped, with nested markets) Polymarket" task

The Polymarket Prediction Market Scraper Actor will start running based on the input automatically. You can also change all the input fields, like scrape mode, maximum markets, and more, to match your specific use case.

Receive the "Events (grouped, with nested markets) Polymarket" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as image, title, URL, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Events (grouped, with nested markets) Polymarket" task via API.

Image

Integrate "Events (grouped, with nested markets) Polymarket" into your workflow

Connect "Events (grouped, with nested markets) Polymarket" with 100+ integrations, or run it via API or MCP.

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