# Study LinkedIn article formats for editorial planning

**Use case:** 

Collect LinkedIn article word counts, reading times, headings and titles from chosen URLs for your own editorial format research. Compare the length and organization of selected examples when preparing a writing brief. The task returns source records without recommending an ideal length.

## Input

```json
{
  "inputList": [
    "https://www.linkedin.com/pulse/what-linkedin-pulse-article-why-matters-more-than-you-kerry-baker-adlwe"
  ]
}
```

## Output

```json
{
  "input": {
    "label": "Input",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "slug": {
    "label": "Slug",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "body": {
    "label": "Body",
    "format": "string"
  },
  "body_html": {
    "label": "Body Html",
    "format": "string"
  },
  "cover_image": {
    "label": "Cover Image",
    "format": "string"
  },
  "images.url": {
    "label": "Images / URL",
    "format": "array"
  },
  "images.alt": {
    "label": "Images / Alt",
    "format": "array"
  },
  "images.is_cover": {
    "label": "Images / Is Cover",
    "format": "array"
  },
  "links.text": {
    "label": "Links / Text",
    "format": "array"
  },
  "links.url": {
    "label": "Links / URL",
    "format": "array"
  },
  "sections": {
    "label": "Sections",
    "format": "array"
  },
  "author.type": {
    "label": "Author / Type",
    "format": "text"
  },
  "author.name": {
    "label": "Author / Name",
    "format": "text"
  },
  "author.url": {
    "label": "Author / URL",
    "format": "link"
  },
  "author.image": {
    "label": "Author / Image",
    "format": "image"
  },
  "author.followers": {
    "label": "Author / Followers",
    "format": "number"
  },
  "publisher.name": {
    "label": "Publisher / Name",
    "format": "text"
  },
  "publisher.url": {
    "label": "Publisher / URL",
    "format": "link"
  },
  "publisher.logo": {
    "label": "Publisher / Logo",
    "format": "image"
  },
  "published_at": {
    "label": "Published At",
    "format": "string"
  },
  "modified_at": {
    "label": "Modified At",
    "format": "string"
  },
  "reading_time": {
    "label": "Reading Time",
    "format": "string"
  },
  "word_count": {
    "label": "Word Count",
    "format": "integer"
  },
  "likes": {
    "label": "Likes",
    "format": "integer"
  },
  "comments_count": {
    "label": "Comments Count",
    "format": "integer"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "keywords": {
    "label": "Keywords",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Article Scraper – Text, Authors & Links](https://apify.com/scrapingmonkey/linkedin-article-details-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapingmonkey/linkedin-article-details-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/scrapingmonkey/linkedin-article-details-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).