# Platzi Course Catalog Scraper (`jungle_synthesizer/platzi-cursos-catalog-scraper`) Actor Scrapes the full Platzi course catalog (~1500+ courses across all categories). Returns structured data including title, teacher, rating, duration, level, syllabus topics, and certification status for every course. Covers Spanish and Portuguese tracks. - **URL**: https://apify.com/jungle\_synthesizer/platzi-cursos-catalog-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Education, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Platzi Course Catalog Scraper Scrapes the full Platzi course catalog (~1500+ courses across all categories). Returns structured data for every course including title, teacher, rating, duration, level, syllabus topics, and certification status. Covers Spanish and Portuguese tracks. ### What it scrapes Platzi is the dominant Spanish-language tech education platform with over 1900 courses across categories like software development, AI, data science, design, marketing, English, and more. This actor retrieves the complete public course catalog from the sitemap and enriches each entry with detail-page data. **Fields returned per course:** | Field | Type | Description | |-------|------|-------------| | `id` | string | Course slug (unique identifier) | | `title` | string | Full course title | | `slug` | string | URL slug | | `language` | string | Language code (`es` or `pt`) | | `level` | string | Difficulty level (`básico`, `intermedio`, `avanzado`) | | `duration_hours` | number | Total course duration in hours | | `teacher_name` | string | Primary instructor name | | `teacher_bio` | string | Instructor short biography | | `rating` | number | Average rating (0–5 scale) | | `rating_count` | number | Number of student ratings | | `syllabus_topics` | string | Pipe-separated list of syllabus section titles | | `description_text` | string | Plain-text course description | | `thumbnail_url` | string | Course thumbnail image URL | | `certification_offered` | boolean | Always true (Platzi offers certificates for all catalog courses) | | `is_free` | boolean | Always false (subscription-only catalog) | | `is_school_track` | boolean | Whether part of an escuela (school track) | | `school_name` | string | Escuela name, when applicable | | `student_count` | number | Enrolled students (minimum 50 shown on public pages) | | `source_url` | string | Canonical course URL | Fields not available without a paid Platzi account (skills, last_updated, subcategory) are returned as `null`. ### Use cases - **Ed-tech competitive intelligence** — track Platzi's full catalog composition, instructor roster, rating distribution, and content depth across categories - **US Hispanic-market affiliate sites** — generate course listings with rich metadata for Spanish-speaking audiences - **Corporate L&D benchmarking** — evaluate Platzi's coverage of specific technical skills vs. competitors - **Research** — course-level analysis of Spanish-language tech education content, duration patterns, and rating spread ### How to use #### Basic run (default: 10 courses) Run with default settings to scrape 10 courses and verify output. Set **Max Items** to `0` or leave empty to scrape the full catalog (~1552 courses). #### Full catalog run Set `maxItems` to a large number (e.g. `2000`) or leave it empty. A full run over all ~1552 courses completes within 30–45 minutes. **Input parameters:** | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `maxItems` | integer | 10 | Maximum courses to scrape. Leave empty for the full catalog. | ### Output example ```json { "id": "fundamentos-arquitectura-software", "title": "Curso de Fundamentos de Arquitectura de Software", "slug": "fundamentos-arquitectura-software", "language": "es", "level": "básico", "duration_hours": 14, "teacher_name": "Nicolas Bohorquez", "teacher_bio": "Software Architect, Data Architect, Software Developer, Technical Writer, Book Author, Angel Investor, Startup founder.", "rating": 4.8, "rating_count": 345, "syllabus_topics": "Contexto | Frugalidad | Estructura del Software | Diseño del Software | Proyecto | Epilogo", "description_text": "Aprende los conceptos esenciales para diseñar sistemas de software estructurados...", "thumbnail_url": "https://static.platzi.com/media/courses/Piezas-fundamentos-arquitectura-software_OG-compressed.jpg", "certification_offered": true, "is_free": false, "is_school_track": false, "school_name": null, "student_count": 50, "source_url": "https://platzi.com/cursos/fundamentos-arquitectura-software/" } ```` ### Notes - Course data is sourced from Platzi's public sitemap (`sitemap-cursos.xml`) and server-rendered detail pages. No login required. - `student_count` shows a minimum of 50 on public pages — actual enrollment is higher but only visible to logged-in users. - `category` is returned as `null` because Platzi's detail pages do not expose a reliable course-specific category field without authentication. - The actor uses Platzi's public sitemap as the discovery source. Courses not listed in the sitemap (draft/unlisted) are not included. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of courses to scrape. Leave empty to scrape the full catalog (~1500+ courses). ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/platzi-cursos-catalog-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/platzi-cursos-catalog-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 }' | apify call jungle_synthesizer/platzi-cursos-catalog-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/platzi-cursos-catalog-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Platzi Course Catalog Scraper", "description": "Scrapes the full Platzi course catalog (~1500+ courses across all categories). Returns structured data including title, teacher, rating, duration, level, syllabus topics, and certification status for every course. Covers Spanish and Portuguese tracks.", "version": "0.1", "x-build-id": "gqt1W53N3hHUUvXEZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~platzi-cursos-catalog-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-platzi-cursos-catalog-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/jungle_synthesizer~platzi-cursos-catalog-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-platzi-cursos-catalog-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/jungle_synthesizer~platzi-cursos-catalog-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-platzi-cursos-catalog-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": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of courses to scrape. Leave empty to scrape the full catalog (~1500+ courses).", "default": 10 } } }, "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 } } } } } } } } } } ```