# Coursera transcripts for RAG / LLM training

**Use case:** 

Build a clean Coursera lecture-transcript dataset (text + segments) for RAG pipelines, fine-tuning, and semantic search.

## Input

```json
{
  "courseSlugs": [
    "machine-learning",
    "python"
  ],
  "language": "en",
  "transcriptFormats": [
    "txt",
    "segments"
  ],
  "maxLecturesPerCourse": 25,
  "includeLocked": false,
  "monitorMode": false,
  "alertOnNewLecture": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "requestConcurrency": 5,
  "diagnose": false
}
```

## Output

```json
{
  "course_title": {
    "label": "Course",
    "format": "string"
  },
  "lecture_title": {
    "label": "Lecture",
    "format": "string"
  },
  "language": {
    "label": "Lang",
    "format": "string"
  },
  "segment_count": {
    "label": "Cues",
    "format": "integer"
  },
  "transcript": {
    "label": "Transcript",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Coursera Transcript Scraper — Lecture Subtitles (No Login)](https://apify.com/scrapersdelight/coursera-transcript-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapersdelight/coursera-transcript-scraper) to learn more, explore other use cases, and run it yourself.