# OpenML algorithm flows scraping task

**Use case:** 

Scrape OpenML algorithm flow records for sklearn-related implementations to support ML benchmarking and research workflows.

## Input

```json
{
  "resourceType": "flows",
  "searchQuery": "sklearn",
  "status": "active",
  "maxResults": 40,
  "maxRequestRetries": 3
}
```

## Output

```json
{
  "resourceType": {
    "label": "Type",
    "format": "text"
  },
  "id": {
    "label": "ID",
    "format": "number"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "version": {
    "label": "Version",
    "format": "number"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "format": {
    "label": "Format",
    "format": "text"
  },
  "numberOfFeatures": {
    "label": "Features",
    "format": "number"
  },
  "numberOfInstances": {
    "label": "Instances",
    "format": "number"
  },
  "numberOfClasses": {
    "label": "Classes",
    "format": "number"
  },
  "uploadDate": {
    "label": "Uploaded",
    "format": "text"
  },
  "url": {
    "label": "URL",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [OpenML Dataset Scraper](https://apify.com/automation-lab/openml-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/openml-scraper) to learn more, explore other use cases, and run it yourself.