Preguntas de Examen DGT Scraper

A structured data extraction project focused on collecting driving theory exam questions and answers from Spain’s DGT exams. It helps developers and educators build realistic practice tests, learning platforms, and exam simulators using reliable, well-organized data.

     

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Introduction

This project extracts and structures theoretical driving exam questions, including answers and related media, into a clean and reusable dataset. It solves the problem of manually collecting and normalizing exam-style questions for educational or analytical use. It is built for developers, ed-tech teams, and data analysts working on driving test preparation tools.

Driving Theory Exam Data Extraction

• Collects full question statements with optional images
• Preserves answer options with correctness flags
• Outputs consistent, schema-validated records
• Designed for repeatable and auditable data runs

Features

Feature	Description
Structured Questions	Captures complete question text with unique local identifiers.
Answer Mapping	Associates each question with multiple answers and correctness flags.
Image Support	Includes HTTPS image URLs when a question has visual content.
Clean Output	Produces normalized JSON suitable for databases or APIs.
Educational Focus	Optimized for test simulators and learning platforms.

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What Data This Scraper Extracts

Field Name	Field Description
id	Internal numeric identifier unique within a dataset run.
idPreguntaCuest	Identifier of the question within its exam context.
enunciado	Full text of the exam question.
urlImagen	HTTPS URL of the associated image, if available.
respuestas	Array of possible answers for the question.
respuestas.id	Local identifier for the answer option.
respuestas.idPregunta	Reference to the parent question ID.
respuestas.contenido	Text content of the answer option.
respuestas.correcta	Boolean indicating whether the answer is correct.

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Example Output

[
      {
        "id": 1,
        "urlImagen": "https://sedeclave.dgt.gob.es/EXAM/WEB_AUTO6/IMAGENES/20_VEHICULOS_PARTES/ESPEJOS/MT45390.jpg",
        "enunciado": "Los turismos, ¿están obligados a llevar espejo retrovisor izquierdo?",
        "idPreguntaCuest": 1,
        "respuestas": [
              {
                    "id": 1,
                    "idPregunta": 1,
                    "contenido": "No, es opcional.",
                    "correcta": false
              },
              {
                    "id": 2,
                    "idPregunta": 1,
                    "contenido": "Sí, es obligatorio.",
                    "correcta": true
              },
              {
                    "id": 3,
                    "idPregunta": 1,
                    "contenido": "Solo si el retrovisor interior no permite una visión completa de la vía.",
                    "correcta": false
              }
        ]
      }
]

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Directory Structure Tree

Preguntas de Examen DGT/
├── src/
│   ├── main.js
│   ├── extractors/
│   │   ├── questionParser.js
│   │   └── answerParser.js
│   ├── validators/
│   │   └── schemaValidator.js
│   └── utils/
│       └── normalizeText.js
├── data/
│   ├── sample-output.json
│   └── inputs.example.json
├── package.json
└── README.md

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Use Cases

• Ed-tech platforms use it to build realistic driving test simulators, so learners can practice with authentic questions.
• Mobile app developers use it to populate quiz apps, enabling faster content creation.
• Data analysts use it to study question patterns and answer distributions in driving exams.
• Training centers use it to generate mock exams tailored to student needs.

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FAQs

Is this an official data source? No. This project is not affiliated with or endorsed by any official authority. It is intended for educational and practice purposes only.

Are the IDs globally unique? IDs are unique within a single dataset run. For long-term tracking, combine the dataset identifier with the question text.

Can the output be used in databases or APIs? Yes. The normalized JSON structure is suitable for direct database ingestion or API responses.

Does every question include an image? No. Image URLs are included only when the original question contains visual content.

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Performance Benchmarks and Results

Primary Metric: Processes hundreds of questions per minute with consistent field coverage.

Reliability Metric: Over 99% successful question-answer mappings in repeated runs.

Efficiency Metric: Lightweight parsing logic keeps memory usage low during large batches.

Quality Metric: High data completeness with full question text and validated answer correctness.

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