# LinkedIn newsletter content dataset for RAG

**Use case:** 

Collect public newsletter editions and full article text as a structured dataset for competitor intelligence, digests, archives, or RAG.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.linkedin.com/newsletters/artificial-intelligence-7059424690619957248"
    }
  ],
  "includeIssues": true,
  "maxItems": 25,
  "maxIssuesPerNewsletter": 24,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "type": {
    "label": "Type"
  },
  "title": {
    "label": "Title"
  },
  "authorName": {
    "label": "Author"
  },
  "publishedAt": {
    "label": "Published"
  },
  "cadence": {
    "label": "Cadence"
  },
  "followerCount": {
    "label": "Followers"
  },
  "reactionCount": {
    "label": "Reactions"
  },
  "commentCount": {
    "label": "Comments"
  },
  "canonicalUrl": {
    "label": "URL"
  },
  "bodyText": {
    "label": "Body"
  },
  "scrapedAt": {
    "label": "Scraped at"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Newsletter Scraper](https://apify.com/automation-lab/linkedin-newsletter-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/linkedin-newsletter-scraper) to learn more, explore other use cases, and run it yourself.