LinkedIn Article Scraper – Text, Authors & Links

Extract the text and supporting details of public LinkedIn Pulse articles from their URLs. LinkedIn Article Scraper collects the article body, available HTML, author, publisher, images, links and engagement in one dataset row per article.

Use it to build a searchable reading library, compare published viewpoints or keep an editorial reference with the original author and source attached.

At a glance	Details
📥 Input	One or more full LinkedIn Pulse article URLs
📤 Output	Article text, author, publisher, media, links, dates and engagement
🔐 Login required	No LinkedIn credentials or cookies
⚡ Processing	Up to 5 requests concurrently with automatic retries
💾 Delivery	One dataset row per processed article; one table and matching JSON fields

What the LinkedIn article scraper extracts 🔎

The Actor reads the public article page and keeps its content together with the details needed to identify and cite it.

• Title, description, full available body text and article-body HTML
• Article URL and slug, publication and modification dates
• Author name, profile URL, image, type and visible follower count
• Publisher name, website and logo
• Cover image, article images, image alt text and cover flags
• Body links, section headings, language and keywords
• Word count, displayed reading time, likes and comment count

How to scrape LinkedIn article details 🚀

1. Add a full linkedin.com/pulse/… article URL to inputList.
2. Add further article URLs for a batch.
3. Start the Actor and review the result status.
4. Export the dataset or connect it to your content workflow.

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

Repeated valid inputs that resolve to the same article are normally processed once per run.

LinkedIn article data fields and complete output 📦

Field group	Included data
Content	Title, description, body, HTML and section headings
Attribution	Author and publisher names, links and images
Media and references	Cover image, image URLs, alt text and article links
Publication	Dates, language, keywords, word count and reading time
Engagement	Likes, comment count and author followers

Complete illustrative success item with fictional content, not a live result:

{
  "input": "https://www.linkedin.com/pulse/planning-a-research-library-maya-chen/",
  "status": "success",
  "slug": "planning-a-research-library-maya-chen",
  "url": "https://www.linkedin.com/pulse/planning-a-research-library-maya-chen/",
  "title": "Planning a research library",
  "description": "A practical starting point for organizing a team's published research.",
  "body": "Start with the questions your team needs to answer. Group source material by topic and record its publication date.\n\nReview the library each month. Remove outdated guidance and keep a link to the original publication.",
  "body_html": "<h2>Choose a focus</h2><p class=\"article-main__content\">Start with the questions your team needs to answer. Group source material by topic and record its publication date.</p><h2>Keep it useful</h2><p class=\"article-main__content\">Review the library each month. Remove outdated guidance and keep a link to the original publication.</p><img src=\"https://example.com/research-library.jpg\" alt=\"Research topics arranged by month\"/><a href=\"https://example.com/library-guide\">Library guide</a>",
  "cover_image": "https://example.com/library-cover.jpg",
  "images.url": [
    "https://example.com/library-cover.jpg",
    "https://example.com/research-library.jpg"
  ],
  "images.alt": [
    "",
    "Research topics arranged by month"
  ],
  "images.is_cover": [
    true,
    false
  ],
  "links.text": [
    "Library guide"
  ],
  "links.url": [
    "https://example.com/library-guide"
  ],
  "sections": [
    "Choose a focus",
    "Keep it useful"
  ],
  "author.type": "Person",
  "author.name": "Maya Chen",
  "author.url": "https://www.linkedin.com/in/maya-chen-example/",
  "author.image": "https://example.com/maya-chen.jpg",
  "author.followers": 1800,
  "publisher.name": "Northstar Research",
  "publisher.url": "https://example.com",
  "publisher.logo": "https://example.com/northstar-logo.png",
  "published_at": "2026-09-01T10:00:00Z",
  "modified_at": "2026-09-02T10:00:00Z",
  "reading_time": "1 min read",
  "word_count": 35,
  "likes": 24,
  "comments_count": 3,
  "language": "en",
  "keywords": [
    "Research",
    "Knowledge management"
  ]
}

Fields such as author.name and publisher.url are literal column names in both the table and JSON. The images.* lists align by position, as do links.text and links.url. Images and references stay inside the article row.

On successful rows, unavailable values can be empty strings, empty lists or zero counts. A failed row retains input, sets status to failed and leaves the data fields null.

Input requirements and coverage ⚙️

Parameter	Type	Required	Default and rules
inputList	array of strings	Yes	No default; at least one item. No fixed maximum number of inputs.

Accepted inputs are full HTTP or HTTPS LinkedIn URLs with a /pulse/ article path. Plain article slugs, profile URLs and ordinary feed posts are not accepted. Tracking parameters are removed from the requested URL.

The Actor collects known articles; it does not discover articles by keyword or paginate an author's publications. A readable article body is required for a successful result. HTML and optional metadata can be empty when LinkedIn exposes only part of the public page.

LinkedIn article data use cases 🎯

Editorial research

Keep source text, publication dates, section headings and outbound references together when researching a topic.

Thought-leadership analysis

Compare themes and publication patterns across a selected set of articles while retaining author and publisher attribution.

Internal reading libraries

Index article text with its source URL so colleagues can find relevant material and return to the original publication.

Content reference audits

Review the links, images and keywords used in articles you manage or have permission to analyze.

Pricing and billable article rows 💰

Check the Actor's Pricing tab for the current charging model and rate. The Store configuration is authoritative.

Under dataset-item pricing, each saved success or failed row can count as a billable item. Automatic retry attempts do not independently create additional rows. Repeated valid inputs are normally processed once.

Images, references and author details are part of the article row.

LinkedIn article API and integrations 🔌

Replace $ACTOR_ID with the ID shown in the Actor API tab and $APIFY_TOKEN with your Apify token.

curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"inputList":["https://www.linkedin.com/pulse/what-linkedin-pulse-article-why-matters-more-than-you-kerry-baker-adlwe"]}'

Start runs through REST, Apify client libraries or schedules, and use webhooks to handle completion. Export the default dataset as JSON, CSV or Excel, or send it to Google Sheets, Make, Zapier and your own reporting tools.

Reliability and limits ⚠️

Temporary request failures and selected access errors are retried automatically. A deleted article or a page without a usable article body produces a failed result. The Actor reads publicly available pages without LinkedIn credentials.

body contains plain text; body_html preserves the available article-body markup. The two can differ because image markup, headings and links are handled separately. Word count is taken from the page when supplied or calculated from the collected text. Missing engagement counts default to zero, which does not prove an article has no engagement.

Frequently asked questions ❓

Does it collect the full article text?

It collects the body available on the public article page. An article without a readable body fails; gated or removed content is not unlocked.

Can I use a regular LinkedIn post URL?

Use LinkedIn Post Details Scraper for feed posts. This Actor accepts LinkedIn Pulse article URLs.

Are article comments included?

The output includes a comment count when exposed. It does not collect the comment texts.

Does it download article images?

It returns image URLs and available alt text. Image files are not saved as dataset attachments.

Why is body_html empty when body has text?

LinkedIn can expose article text without the corresponding body markup. The text can still be returned successfully.

Support, responsible use, and related actors 🛟

For a reproducible issue, contact support with the run ID, approximate time and a safe public example URL. Keep credentials and private data out of support messages.

Use public data in line with applicable privacy, copyright and platform requirements.