Description

Extract comprehensive event data from Probablemarket prediction markets, including titles, volumes, liquidity, and markets across customizable sections like trending, politics, and culture....

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Probablemarket Category Spider

Introduction

The Probablemarket Category Spider is a powerful Apify Actor designed to scrape and extract event data from Probablemarket, a popular prediction market platform. It allows users to gather detailed information on events across specified categories, including market details, volumes, and tags, enabling data-driven insights into trending topics, sports, politics, and more. This tool is ideal for researchers, analysts, and businesses seeking to monitor prediction markets efficiently and reliably.

Features

• Comprehensive Data Extraction: Scrapes event details, including titles, creation dates, activity status, liquidity, volume, and associated markets from Probablemarket.
• Customizable Sections: Supports filtering by user-defined sections such as trending, politics, and culture for targeted data collection.
• High Reliability: Built with robust error handling to ensure consistent performance even with varying website structures.
• Structured Output: Delivers clean, JSON-formatted data that's easy to integrate into databases, analytics tools, or downstream processes.
• Scalable Performance: Optimized for handling multiple sections without rate limiting issues, making it suitable for large-scale extractions.
• Real-Time Insights: Captures up-to-date metrics like 24-hour volume and market activity for timely decision-making.
• Apify Integration: Seamlessly runs on the Apify platform with built-in monitoring, scheduling, and export options.

Input Parameters

Parameter	Type	Required	Description	Example
Sections	array	No	An array of section names to scrape from Probablemarket. Defaults to trending, politics, and culture.	["trending", "politics", "culture"]

Example Usage

To run the actor, provide the input parameters in JSON format. Here's an example:

{
  "Sections": ["trending", "politics"]
}

This will scrape data from the "trending" and "politics" sections.

Example output:

[
  {
    "section": "trending",
    "event_id": "820",
    "title": "Nets vs. Celtics",
    "created_at": "2026-02-27T05:19:28.321Z",
    "active": false,
    "closed": true,
    "liquidity": "0",
    "volume": "38763.00000000",
    "volume_24hr": 0,
    "tags": [
      "Sports",
      "NBA",
      "Basketball"
    ],
    "markets": [
      {
        "market_id": "1678",
        "question": "Nets vs. Celtics",
        "volume_24hr": "38763.00000000",
        "liquidity": "0",
        "active": false,
        "start_date": "2026-02-27T05:20:00.400000Z",
        "end_date": "2026-02-28T03:30:00.000000Z",
        "group_title": "Nets vs. Celtics"
      }
    ],
    "actor_id": "0njEXdGY9WDHon5PI",
    "run_id": "0Lm4inDnXWcXBgWlJ"
  },
  {
    "section": "trending",
    "event_id": "819",
    "title": "Cavaliers vs. Pistons",
    "created_at": "2026-02-27T04:55:59.786Z",
    "active": false,
    "closed": true,
    "liquidity": "0",
    "volume": "54022.00000000",
    "volume_24hr": 0,
    "tags": [
      "Sports",
      "NBA",
      "Basketball"
    ],
    "markets": [
      {
        "market_id": "1677",
        "question": "Cavaliers vs. Pistons",
        "volume_24hr": "54022.00000000",
        "liquidity": "0",
        "active": false,
        "start_date": "2026-02-27T05:00:00.100000Z",
        "end_date": "2026-02-28T03:00:00.000000Z",
        "group_title": "Cavaliers vs. Pistons"
      }
    ],
    "actor_id": "0njEXdGY9WDHon5PI",
    "run_id": "0Lm4inDnXWcXBgWlJ"
  },
  {
    "section": "trending",
    "event_id": "818",
    "title": "Will TSM stock price hit $400 USD before March 7, 2026?",
    "created_at": "2026-02-26T13:44:26.863Z",
    "active": false,
    "closed": true,
    "liquidity": "0",
    "volume": "214942.00000000",
    "volume_24hr": 0,
    "tags": [
      "Stock",
      "Marco",
      "Finance",
      "Chinese ADRs"
    ],
    "markets": [
      {
        "market_id": "1676",
        "question": "Will TSM stock price hit $400 USD before March 7, 2026?",
        "volume_24hr": "214942.00000000",
        "liquidity": "0",
        "active": false,
        "start_date": "2026-02-26T13:30:00.000000Z",
        "end_date": "2026-03-07T05:00:00.000000Z",
        "group_title": "Will TSM stock price hit $400 USD before March 7, 2026?"
      }
    ],
    "actor_id": "0njEXdGY9WDHon5PI",
    "run_id": "0Lm4inDnXWcXBgWlJ"
  }
]

Use Cases

• Market Research and Analysis: Analyze trends in prediction markets to identify emerging topics or popular events.
• Competitive Intelligence: Monitor competitor activities or market sentiments in sectors like sports and finance.
• Price Monitoring: Track stock-related prediction markets for investment insights.
• Content Aggregation: Collect data for news aggregators or social media analysis tools.
• Academic Research: Study behavioral economics or crowd-sourced predictions in various domains.
• Business Automation: Automate data feeds for dashboards or reporting systems in financial services.

Installation and Usage

1. Search for "Probablemarket Category Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The output is an array of JSON objects, each representing an event from the specified sections. Key fields include:

• section: The category of the event (e.g., "trending").
• event_id: Unique identifier for the event.
• title: Event title or question.
• created_at: Timestamp of event creation.
• active and closed: Boolean flags for event status.
• liquidity and volume: Financial metrics.
• tags: Array of descriptive tags.
• markets: Array of market objects with details like market_id, question, dates, and volumes.
• actor_id and run_id: Apify-specific identifiers.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!