# Computer Vision Literature Workflow

**Use case:** 

Combine CVPR, ICCV, and WACV paper metadata into one dataset for literature review tracking.

## Input

```json
{
  "conferences": [
    "CVPR",
    "ICCV",
    "WACV"
  ],
  "years": [
    2024,
    2023
  ],
  "maxResults": 100,
  "includeAbstract": false,
  "maxRequestRetries": 4
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "text"
  },
  "authorsString": {
    "label": "Authors",
    "format": "text"
  },
  "conference": {
    "label": "Conference",
    "format": "text"
  },
  "year": {
    "label": "Year",
    "format": "number"
  },
  "pages": {
    "label": "Pages",
    "format": "text"
  },
  "paperUrl": {
    "label": "Paper URL",
    "format": "link"
  },
  "pdfUrl": {
    "label": "PDF",
    "format": "link"
  },
  "arxivUrl": {
    "label": "ArXiv",
    "format": "link"
  },
  "suppUrl": {
    "label": "Supplemental",
    "format": "link"
  },
  "bibtex": {
    "label": "BibTeX",
    "format": "text"
  },
  "abstract": {
    "label": "Abstract",
    "format": "text"
  }
}
```

## About this Actor

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