Pdf Court Case Extractor

The Pdf Court Case Extractor is a powerful tool designed to streamline the extraction of court case information from PDF documents. This Actor is ideal for legal professionals, researchers, and analysts who need to efficiently gather and analyze court case data across various counties.

Features

• Comprehensive Data Extraction: Extracts detailed information from court case PDFs, including case numbers, descriptions, parties involved, and more.
• Customizable Search: Filter searches by county, case type, and date range to target specific datasets.
• Enhanced Text Extraction: Utilizes OpenAI's API for improved text recognition, with a regex fallback option.
• Scalable Processing: Capable of processing up to 100 documents per run.
• Cloud Storage Integration: Option to store extracted data in a specified Google Cloud Storage bucket.
• User-Friendly Interface: Simple setup and execution through the Apify platform.

Input Parameters

Parameter	Type	Required	Description	Example
county	string	Yes	County name to search for court cases	"Orange"
limit	integer	No	Maximum number of documents to process (1-100)	10
case_type	string	No	Filter by case type	"CA - Auto Negligence"
date_start	string	No	Start date for filed cases (YYYY-MM-DD)	"2025-01-01"
date_end	string	No	End date for filed cases (YYYY-MM-DD)	"2025-12-31"
openai_api_key	string	No	OpenAI API key for enhanced text extraction
gcs_bucket_name	string	No	Google Cloud Storage bucket name	"courts-bucket"

Example Usage

Example Input JSON

{
  "county": "Orange",
  "limit": 10,
  "case_type": "CA - Auto Negligence",
  "date_start": "2025-01-01",
  "date_end": "2025-12-31",
  "openai_api_key": "your-openai-api-key",
  "gcs_bucket_name": "courts-bucket"
}

Example Output JSON

[
  {
    "case_number": "227383417",
    "description": "This is an action for damages that exceed Fifty Thousand Dollars ($50,000.00), exclusive of interest, costs and attorneys fees.",
    "location": "ORANGE COUNTY, FLORIDA",
    "ucn": "",
    "case_type": "Civil",
    "status": "Pending",
    "judge_name": "",
    "filed_date": "07/16/2025",
    "incident_date": "07/28/2024",
    "parties": [
      {
        "name": "ROBERT E. LAWRIE",
        "type": "Plaintiff",
        "attorney": "Matthew Scott Hochstein",
        "phone": "(689) 285-6976",
        "email": "MHochstein@forthepeople.com",
        "address": "20 N. Orange Avenue, Suite 1600, Orlando, FL 32801"
      },
      {
        "name": "FLORIDA DEPARTMENT OF FINACIAL SERVICES",
        "type": "Defendant",
        "attorney": "",
        "phone": "",
        "email": "",
        "address": ""
      }
    ],
    "documents": [
      {
        "date": "07/15/2025",
        "description": "COMPLAINT",
        "pages": "",
        "doc_link": "",
        "path": ""
      }
    ],
    "actor-id": "",
    "county": "orangecounty",
    "court-id": "",
    "crawled_date": "2025-07-17T16:35:10.352586",
    "source_collection": "demo_case_documents",
    "original_document_id": "6878d5628c05ac301a95a22b"
  }
]

Use Cases

• Legal Research: Quickly gather case details for legal analysis.
• Market Research: Analyze trends in legal cases across different regions.
• Competitive Intelligence: Monitor legal activities involving competitors.
• Content Aggregation: Compile case data for publication or reporting.
• Academic Research: Support studies in legal trends and case law analysis.
• Business Automation: Automate the collection of legal documents for business processes.

Installation and Usage

1. Search for "Pdf Court Case Extractor" 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 detailed information about each court case, including fields such as case_number, description, location, case_type, status, filed_date, parties, and documents.

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!