# Pluralsight CourseInfo Scraper (`getdataforme/pluralsight-courseinfo-scraper`) Actor
The Pluralsight CourseInfo Scraper extracts detailed course data from Pluralsight, including descriptions, author stats, and topics. It offers high data quality, fast performance, and customizable outputs in JSON, CSV, or Excel, making it ideal for educators, researchers, and industry professionals.
- **URL**: https://apify.com/getdataforme/pluralsight-courseinfo-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Pluralsight CourseInfo Scraper
### Introduction
The Pluralsight CourseInfo Scraper is a powerful tool designed to extract detailed information from Pluralsight course paths. This actor enables users to gather comprehensive data on course offerings, including course descriptions, author statistics, and related topics, making it an invaluable resource for educators, researchers, and industry professionals.
### Features
- **Comprehensive Data Extraction**: Collects detailed information from Pluralsight course paths, including course descriptions, author stats, and related topics.
- **High Data Quality**: Ensures accurate and up-to-date information by scraping directly from Pluralsight's website.
- **Efficient Performance**: Optimized for fast data retrieval, minimizing wait times and maximizing productivity.
- **User-Friendly Interface**: Simple setup and configuration through the Apify platform.
- **Customizable Outputs**: Offers flexibility in data output formats, including JSON, CSV, and Excel.
- **Reliable Operation**: Built on Apify's robust infrastructure, ensuring consistent performance and uptime.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|------------|--------|----------|------------------------------|-------------------------------------------------------------------------|
| startUrls | array | Yes | URLs to start with. | `["https://www.pluralsight.com/paths/security-event-triage-skill"]` |
### Example Usage
#### Example Input JSON
```json
{
"startUrls": [
{
"url": "https://www.pluralsight.com/paths/security-event-triage-skill"
}
]
}
````
#### Example Output JSON
```json
[
{
"url": "https://www.pluralsight.com/paths/security-event-triage-skill",
"name": "Security Event Triage",
"bio": "### This path covers the knowledge and skills required to operate as a Security Analyst.\n \n\nAdditionally, the skills covered directly align to the following CSWF and Industry Roles:\n\n \n\n**NICE Cyber Security Workforce Framework Roles:** \n- [Cyber Defense Analyst (PR-CDA-001)](https://niccs.cisa.gov/workforce-development/cyber-security-workforce-framework/cyber-defense-analysis)\n \n**Industry Job Roles:** \n- SOC (Security Operations Center) Analyst Level 1 - 3\n- Information Security Analyst\n- Cyber Security Analyst\n\n \n\nAttack & subsequent detection scenarios cover both basic and advanced threat actor profiles aligned with common MITRE ATT&CK techniques and follow the entire chain of attack.\n",
"thumbnail": "https://pluralsight2.imgix.net/paths/images/grc-security-aff1da98ef.png",
"social": {
"twitter": "",
"linkedin": "https://www.linkedin.com/company/pluralsight/"
},
"topics": [
"Level 1|",
"Level 2|",
"Level 3"
],
"stats": {
"coursesAuthored": 10,
"totalLabs": 4,
"totalRatings": 14,
"avgRating": 25,
"roles": "Security Analyst",
"skillLevels": "SOC Analyst Level 1|SOC Analyst Level 2|SOC Analyst Level 3"
},
"pathDetails": {
"prerequisites": "",
"whatYouLearn": "",
"relatedTopics": []
},
"activeCourses": [],
"retiredCourses": []
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather insights into trending skills and course offerings.
- **Competitive Intelligence**: Monitor competitor course paths and offerings.
- **Content Aggregation**: Compile comprehensive lists of courses for educational platforms.
- **Academic Research**: Analyze educational trends and course effectiveness.
- **Business Automation**: Automate the collection of course data for integration into business processes.
### Installation and Usage
1. Search for "Pluralsight CourseInfo 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 where each object contains detailed information about a Pluralsight course path, including:
- `url`: The URL of the course path.
- `name`: The name of the course path.
- `bio`: A detailed description of the course path.
- `thumbnail`: URL to the course path's thumbnail image.
- `social`: Social media links related to the course.
- `topics`: List of topics covered in the course path.
- `stats`: Various statistics about the course path, such as number of courses authored and average rating.
- `pathDetails`: Additional details like prerequisites and related topics.
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form:
We're here to help you get the most out of this Actor!
# Actor input Schema
## `startUrls` (type: `array`):
URLs to start with.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://www.pluralsight.com/paths/security-event-triage-skill"
}
]
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [
{
"url": "https://www.pluralsight.com/paths/security-event-triage-skill"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/pluralsight-courseinfo-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://www.pluralsight.com/paths/security-event-triage-skill" }] }
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/pluralsight-courseinfo-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"startUrls": [
{
"url": "https://www.pluralsight.com/paths/security-event-triage-skill"
}
]
}' |
apify call getdataforme/pluralsight-courseinfo-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/pluralsight-courseinfo-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Pluralsight CourseInfo Scraper",
"description": "The Pluralsight CourseInfo Scraper extracts detailed course data from Pluralsight, including descriptions, author stats, and topics. It offers high data quality, fast performance, and customizable outputs in JSON, CSV, or Excel, making it ideal for educators, researchers, and industry professionals.",
"version": "0.0",
"x-build-id": "s0CcSdt0cnQBvzCQg"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~pluralsight-courseinfo-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-pluralsight-courseinfo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~pluralsight-courseinfo-scraper/runs": {
"post": {
"operationId": "runs-sync-getdataforme-pluralsight-courseinfo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~pluralsight-courseinfo-scraper/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-pluralsight-courseinfo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "URLs to start with.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```