# Udemy Listing Scraper

Scrape courses information（Category, Name, Description, Educator, Rating, Review, Duration, Quantity, Price, Label）with URL of categories.

- Template page: [https://www.octoparse.com/template/udemy-listados-scraper](https://www.octoparse.com/template/udemy-listados-scraper)
- Categories: Education
- Status: `PUBLISHED`
- Run mode: `LOCAL`

## Pricing

Free.

## What is an Octoparse template?

An Octoparse template is a ready-to-use scraping workflow with predefined inputs and structured outputs. Use the exact parameter keys below; do not invent parameters.

## Overview

This ready-to-use template collects structured data from listing pages.

## Output

The current workflow extracts 11 fields, including `Categoria_Curso`, `Nombre_curso`, `Descripción`, `Educador`, `Rating`, `Reseña`, `Duración`, `Cantidad_Clase`, `Nivel`, `Precio`, `Etiqueta`.

## Use Cases

- Use structured results for research, comparison, and monitoring.
- Collect rows without building the extraction workflow from scratch.
- Combine results with other templates for downstream enrichment.
- Review a representative result before starting a large batch.

## Why Octoparse

- **No coding required:** complete URL(s) and start the template in local mode.
- **Flexible export:** review and export results as CSV, Excel, or JSON.

## Input

### URL(s)

Required. URL(s) Constraints: minItems=1; maxItems=1000.

## How to Use

# Udemy Listing Scraper

Collects courses information (Category, Name, Description, Educator, Rating, Review, Duration, Quantity, Price, Label) from Udemy category URLs. Data is collected from [Udemy](https://www.udemy.com/).

## Input

- **URL(s)** (required): Enter one or more values, one per line.

## How to Use

1. Open the template and select **Try it** or **Start**.
2. Complete the input field with the URL(s) of Udemy categories.
3. Run the task locally.
4. Review the output rows and export or process the structured data.

## Output Fields

The template returns the following fields exactly as named:

- `Categoria_Curso`
- `Nombre_curso`
- `Descripción`
- `Educador`
- `Rating`
- `Reseña`
- `Duración`
- `Cantidad_Clase`
- `Nivel`
- `Precio`
- `Etiqueta`

## Limitations

- Runs locally; keep your computer and Octoparse open while the task is running.
- Fields such as `Nivel`, `Precio`, and `Etiqueta` can be empty when the source record does not provide them.

## Tips

- Start with one or a few inputs and review the returned rows before scaling.
- Use the most specific valid URL(s) to reduce unrelated or duplicate records.

Note: The template currently has no per-line charge.

## Limitations

Results depend on what the source site exposes at run time. Fields may be empty when a source page does not provide a value. The template enforces the input limits shown above.

## Tips

Use specific, valid inputs and review a representative result before starting a large batch. Remove duplicate inputs when repeated records are not needed.

## FAQ

### What do I need to enter?

Use the exact inputs and limits listed above.

### What data does this template return?

See Output Schema below; availability can vary by source record.

### How is usage billed?

See the Pricing section above for current pricing and billing details.

## Related Templates

- [Booking.com Hotel Listing Scraper](https://www.octoparse.com/template/booking-com-scraper)
- [Google Maps Store Listing Scraper (Japan)](https://www.octoparse.com/template/google-maps-store-listing-scraper)
- [Zillow Listing Scraper (by URL)](https://www.octoparse.com/template/zillow-scraper)
- [Mercadolibre Listing Pages Scraper (Keywords)](https://www.octoparse.com/template/mercadolibre-listados-scraper)
- [Google Maps Listing Scraper (Spanish)](https://www.octoparse.com/template/google-maps-scraper-tiendas-detalles-palabrasclave)

## Input Schema

```json
{
  "title": "Udemy Listing Scraper input",
  "description": "Input parameters configured for the current published template version.",
  "type": "object",
  "schemaVersion": 1,
  "additionalProperties": false,
  "properties": {
    "uRL": {
      "title": "URL(s)",
      "description": "URL(s)",
      "type": "array",
      "items": {
        "type": "string"
      },
      "minItems": 1,
      "maxItems": 1000,
      "x-octoparse": {
        "apiEnabled": false
      }
    }
  },
  "required": [
    "uRL"
  ]
}
```

## Input JSON Example

No verified real input/output examples are currently available.


## Output Schema

```json
{
  "schemaVersion": 1,
  "type": "object",
  "properties": {
    "Categoria_Curso": {
      "type": "string",
      "description": ""
    },
    "Nombre_curso": {
      "type": "string",
      "description": ""
    },
    "Descripción": {
      "type": "string",
      "description": ""
    },
    "Educador": {
      "type": "string",
      "description": ""
    },
    "Rating": {
      "type": "string",
      "description": ""
    },
    "Reseña": {
      "type": "string",
      "description": ""
    },
    "Duración": {
      "type": "string",
      "description": ""
    },
    "Cantidad_Clase": {
      "type": "string",
      "description": ""
    },
    "Nivel": {
      "type": "string",
      "description": ""
    },
    "Precio": {
      "type": "string",
      "description": ""
    },
    "Etiqueta": {
      "type": "string",
      "description": ""
    }
  },
  "title": "Udemy Listing Scraper output",
  "description": "Initial output fields derived from the current published implementation. Field descriptions are maintained by Data Center; production field names and types should be refreshed from recent successful runs.",
  "additionalProperties": false
}
```

## Output Example

No verified real input/output examples are currently available.

## API

`POST https://openapi.octoparse.com/api/agentTools/executeTask`

This is the OpenAPI Agent Tools `executeTask` endpoint. Authenticate with a Bearer token.

Request body:

`templateName` is the template slug; `parameters` is a JSON object string whose keys match Input Schema; `taskName`, `idempotencyKey`, and `maxCollectedRows` are optional.

Obtain a token:

```http
POST https://openapi.octoparse.com/token
Content-Type: application/json

{
  "username": "YOUR_USERNAME",
  "password": "YOUR_PASSWORD",
  "grant_type": "password"
}
```

Use `data.access_token` as `Authorization: Bearer <token>`. After starting, poll `getTaskStatus` and export with `exportData`.

No verified real input/output examples are currently available.

## MCP Setup

Connect an MCP-compatible AI client to `https://mcp.octoparse.com` using browser OAuth or an Octoparse API key. Find `udemy-listados-scraper`, inspect its inputs, create a cloud task with the exact Input Schema keys, and export JSON results.

## Machine-readable Resources

- [Template contract](https://www.octoparse.com/templates/udemy-listados-scraper.json)
- [Manifest](https://www.octoparse.com/templates/udemy-listados-scraper-manifest.json)