Physionet ArticleInfo scraper

Introduction

The Physionet ArticleInfo Scraper is a powerful tool designed to extract detailed information from Physionet articles. This Actor is ideal for researchers, data analysts, and developers who need structured data from Physionet's extensive database of ECG signal records and annotations.

Features

• Comprehensive Data Extraction: Retrieves detailed article information including titles, descriptions, authors, and citations.
• High Data Quality: Ensures accurate and up-to-date information by scraping directly from Physionet.
• Efficient Performance: Optimized for fast data retrieval, handling multiple URLs simultaneously.
• User-Friendly Interface: Easy to configure and run with minimal setup required.
• Flexible Output Formats: Export data in JSON, CSV, or Excel formats to suit your needs.
• Open Access Compliance: Extracts data that adheres to open access licensing, ensuring ethical use.

Input Parameters

Example Usage

Example Input JSON

{
  "startUrls": [
    {
      "url": "https://physionet.org/content/but-pdb/1.0.0/"
    }
  ]
}

Example Output JSON

[
  {
    "url": "https://physionet.org/content/but-pdb/1.0.0/",
    "title": "Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB)",
    "description": "BUT PDB is an ECG signal database with marked peaks of P waves...",
    "version": ".",
    "publishedDate": "Jan. 19, 2021. Version:\n      1.0.0",
    "access": {
      "type": "Open Access",
      "license": "Creative Commons Attribution 4.0 International Public License",
      "licenseUrl": "/content/but-pdb/view-license/1.0.0/"
    },
    "authors": [
      {
        "name": "Lucie Mar\u0161\u00e1nov\u00e1",
        "affiliations": [
          "Brno University of Technology"
        ],
        "profileUrl": "https://physionet.org/users/luciem"
      }
    ],
    "citation": {
      "text": "Mar\u0161\u00e1nov\u00e1, L., Nemcova, A., Smisek, R., Smital, L., & Vitek, M. (2021)...",
      "doi": "10.13026/hwvj-5b53",
      "bibtex": "@article{PhysioNet-but-pdb-1.0.0,...}"
    },
    "abstract": "Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB)...",
    "background": "Accurate detection of P waves and subsequent cardiac pathological events...",
    "methods": "The ECGs were selected from three existing databases of ECG signal...",
    "dataDescription": {
      "text": "The database consists of 50 2-minute 2-lead ECG signals...",
      "pathologyTable": [
        {
          "abbreviation": "A",
          "name": "Atrial premature beat",
          "count": 14,
          "signals": "4,5,9,16,17,18,26,28,35,38,39,40,41,43"
        }
      ]
    },
    "usageNotes": "There are few publicly available databases of ECG signals...",
    "acknowledgements": "This work was funded by the United States Office of Naval Research...",
    "conflictsOfInterest": "The authors declare that there are no known conflicts of interest.",
    "references": [
      "Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000)..."
    ],
    "parentProjects": [
      {
        "name": "Long Term AF Database v1.0.0",
        "url": "https://physionet.org/content/ltafdb/1.0.0/"
      }
    ],
    "files": [
      {
        "name": "01.dat",
        "size": "168.8 KB",
        "modified": "2020-11-14",
        "url": "https://physionet.org01.dat"
      }
    ],
    "totalSize": "7.0 MB",
    "doi": "10.13026/hwvj-5b53",
    "topics": [
      "p wave",
      "ecg"
    ]
  }
]

Use Cases

• Academic Research: Gather comprehensive ECG data for medical studies.
• Content Aggregation: Compile ECG signal databases for educational purposes.
• Market Research: Analyze trends in ECG signal databases.
• Competitive Intelligence: Monitor updates in ECG signal data.
• Business Automation: Automate data collection for healthcare analytics.

Installation and Usage

1. Search for "Physionet ArticleInfo scraper" 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 a JSON array containing objects with fields such as url, title, description, version, publishedDate, access, authors, citation, abstract, background, methods, dataDescription, usageNotes, acknowledgements, conflictsOfInterest, references, parentProjects, files, totalSize, doi, and topics.

Support

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

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: Contact Us

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