Polymarket Scraper

Collect Polymarket market data into structured records for monitoring, analysis, and research workflows.

Actor: https://apify.com/fetchcraftlabs/polymarket-scraper

Last reviewed: April 21, 2026.

Quick answer

Use this actor when you need Polymarket data in a reusable dataset instead of checking markets manually. It is built to collect events, outcomes, prices, and volumes for analysis and monitoring.

At a glance:

Input: actor run configuration on the Apify listing.
Output: structured Polymarket market data.
Best for: monitoring, research, dashboards, and data-driven market analysis.
Not ideal for: manual market reading or workflows that need trading actions rather than data extraction.

What it does

The actor focuses on collecting real-time Polymarket market information, including events, outcomes, prices, and volume-related signals. The value is that these market views can be moved into a structured export instead of being inspected one market at a time.

Who this is for

Researchers: analyze market narratives and outcome structures.
Analysts: track price and volume signals across events.
Monitoring teams: build dashboards or alerts around market movements.
Automation teams: ingest market records into internal systems.

Common use cases

Export market snapshots into reporting dashboards.
Track price or volume changes across events.
Build research datasets around outcome structure and event activity.
Monitor prediction markets in a repeatable workflow.

Why this actor is useful

Polymarket pages are easy to read in a browser but less useful for longitudinal analysis until the data is extracted into a structured format. This actor helps bridge that gap.

When to use it vs. when not to

Use this actor when:

You need market data outside the UI.
You are tracking more than a handful of events manually.
You want structured records for analysis, research, or alerts.

Look for another workflow when:

You only need to inspect one market manually.
You need transaction execution rather than data collection.
Your workflow requires non-public or account-specific data.

Limitations and notes

This writeup is based on the repository description and actor positioning, not a live export validation.
If your workflow depends on specific numeric fields or update cadence, validate with a small run first.
Re-check the live actor page before larger recurring jobs.

FAQ

Is this actor good for dashboarding?

Yes. That is one of the clearer fits because the output is positioned around prices, outcomes, and volumes that can feed reporting views.

What should I test first?

Test a representative set of markets and confirm the returned fields, event coverage, and numeric structure before relying on the actor in production.

Is this for trading?

No. This page covers data collection and analysis workflows, not execution or portfolio actions.

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Need implementation help? Use the contact page.

Next steps

Run a smaller validation export and inspect the schema.
Map the output to your dashboard, archive, or monitoring pipeline.
Re-check the live actor page before larger recurring runs.

Polymarket Scraper: Export event, outcome, price, and volume data into structured records