LinkedIn Articles Scraper

LinkedIn Articles Scraper extracts long-form articles from LinkedIn Pulse into clean, structured data you can download as JSON, CSV, Excel, or HTML. Paste a LinkedIn article, profile, or newsletter URL and get the title, full text, author, reactions, comments, publish date, newsletter, images, and links for every article. No account or login required.

Introduction

LinkedIn is the largest professional network in the world. Its article platform, LinkedIn Pulse, is where founders, executives, recruiters, and industry experts publish long-form posts and newsletters, which makes it a rich source of expert opinion and thought leadership.

This actor collects the same public information you see in your browser and turns it into a ready-to-use dataset. You can run it once, schedule it to run daily, or connect it to your own tools.

What data can you extract from LinkedIn articles?

• 📰 Title, opening excerpt, and the full article text as clean plain text
• 🧾 Section headings, word count, and reading time
• 📅 Publish date and last edit date
• 👍 Number of reactions and comments, plus the public comments shown on the page
• 👤 Author name, headline, profile URL, photo, follower count, and whether the author is a person or a company
• 📬 Newsletter name, URL, follower count, and logo (for newsletter editions)
• 🖼️ Cover image, inline images, and videos
• 🔗 Every link inside the article, with its anchor text

Use Cases

• 📈 Content research: see which topics, lengths, and formats earn the most reactions in your industry.
• 🕵️ Competitor monitoring: follow what competitors, executives, and influencers publish and how their audience responds.
• 🤝 Lead generation: find active authors and engaged commenters around a topic.
• 🗂️ Database building: keep an archive of articles and newsletter editions from the voices you follow.
• 🤖 AI and automation: feed full article text into summaries, sentiment analysis, dashboards, or AI workflows.

How to scrape LinkedIn articles step by step

1. Paste one or more LinkedIn article, profile, or newsletter URLs into Start URLs.
2. Set Maximum number of results to how many articles you want per profile or newsletter.
3. Click Start and wait for the run to finish.
4. Download your data in JSON, CSV, Excel, or HTML from the Output tab.

Input

• Start URLs: LinkedIn URLs to scrape. Supported pages:
  • Article pages, such as https://www.linkedin.com/pulse/6-things-you-should-know-world-polio-day-bill-gates-ycree
  • Member profiles, such as https://www.linkedin.com/in/williamhgates (scrapes the latest articles shown on the profile)
  • Newsletters, such as https://www.linkedin.com/newsletters/gates-notes-6651495472181637121 (scrapes the latest editions)
• Maximum number of results: how many articles to collect for each profile or newsletter URL. An article URL always returns that one article.
• Proxy configuration: a proxy is on by default because LinkedIn limits how many pages one address can open. The default datacenter proxy works for most runs; switch to residential if many pages fail.

Input Examples

Scrape the latest articles of a LinkedIn member:

{
  "startUrls": [{ "url": "https://www.linkedin.com/in/williamhgates" }],
  "maxResults": 3,
  "proxyConfiguration": { "useApifyProxy": true }
}

Scrape a profile and a newsletter together:

{
  "startUrls": [
    { "url": "https://www.linkedin.com/in/williamhgates" },
    { "url": "https://www.linkedin.com/newsletters/gates-notes-6651495472181637121" }
  ],
  "maxResults": 3,
  "proxyConfiguration": { "useApifyProxy": true }
}

Output

Each article is saved as one item in the dataset. Here is an example of a single item:

{
  "url": "https://www.linkedin.com/pulse/affordable-climate-win-look-sky-bill-gates-eoj7e",
  "articleSlug": "affordable-climate-win-look-sky-bill-gates-eoj7e",
  "title": "For an affordable climate win, look to the sky",
  "excerpt": "When I was growing up in Seattle, planes were everywhere. Boeing was the biggest employer in the area, and it felt like almost every adult I knew had some connection to the company.",
  "content": "When I was growing up in Seattle, planes were everywhere. Boeing was the biggest employer in the area, and it felt like almost every adult I knew had some connection to the company. Neighbors, family ...",
  "wordCount": 1307,
  "readingTimeMinutes": 6,
  "headings": [],
  "publishedAt": "2026-10-12T20:10:59.000Z",
  "modifiedAt": "2026-10-12T20:11:27.000Z",
  "reactions": 4078,
  "comments": 653,
  "authorName": "Bill Gates",
  "authorType": "Person",
  "authorHeadline": "Chair, Gates Foundation and Founder, Breakthrough Energy",
  "authorUrl": "https://www.linkedin.com/in/williamhgates",
  "authorImageUrl": "https://media.licdn.com/dms/image/v2/D5603AQF-RYZP55jmXA/profile-displayphoto-shrink_400_400/B56ZRi8g.aGsAg-/0/1736826818802?e=2147483647&v=beta&t=r6LJYwKPrJzfFDXVG8qAOoklQnqvEN855sHJ1NxhEAo",
  "authorFollowers": 40765251,
  "newsletterName": "Gates Notes",
  "newsletterUrl": "https://www.linkedin.com/newsletters/gates-notes-6651495472181637121",
  "newsletterFollowers": 6714848,
  "newsletterLogoUrl": "https://media.licdn.com/dms/image/v2/C4E12AQFdUexlL4xUkg/series-logo_image-shrink_100_100/series-logo_image-shrink_100_100/0/1587707440312?e=2147483647&v=beta&t=SyelsiZyQSotZYPAc90nOwTPwJzNHACLZSpMC6ZSrks",
  "coverImageUrl": "https://dms.licdn.com/playlist/vid/v2/D4E12AQFXSlhYCq-GVA/thumbnail-with-play-button-overlay-low/B4EaExtVeFJICM-/0/1791835331972?e=2147483647&v=beta&t=ocRw5ItPrSpDNDTGTcs8TaBb7WNcZ_P-9gI8ZGrLifM",
  "imageUrls": [
    "https://media.licdn.com/dms/image/v2/D4E12AQGizyj4u8WPYA/article-inline_image-shrink_400_744/B4EaExttF3JAAQ-/0/1791835428933?e=2147483647&v=beta&t=Npc4xKZJqS-eCyr57TlpfUsNDiupaDDvou5_aKSZLVA"
  ],
  "videoUrls": [
    "https://dms.licdn.com/playlist/vid/v2/D4E12AQH0e8VeTDmD-Q/mp4-720p-30fp-crf28/B4EaExtovAHwBM-/0/1791835433351?e=2147483647&v=beta&t=6YGI-5zGbk5rW6tkG9MJgFOIrokdbzVOcSIn6wI5Wrg"
  ],
  "links": [
    { "text": "Contrails.org", "url": "http://Contrails.org" },
    { "text": "playing around with the contrails map", "url": "https://map.contrails.org/" }
  ],
  "topComments": [
    {
      "authorName": "Bernita Bai",
      "authorUrl": "https://www.linkedin.com/in/bernita-bai-690805406",
      "text": "The coordination between airlines and air traffic control would be interesting to explore...",
      "reactions": 1,
      "postedAgo": "1d"
    }
  ]
}

You can download the dataset in JSON, CSV, Excel, XML, or HTML, or access it through the Apify API.

Notes

• Without logging in, LinkedIn shows about the 10 latest articles on a profile and about the 8 latest editions on a newsletter page. To scrape older articles, add their article URLs directly.
• Some members hide their public profile from visitors who are not logged in. Those profiles cannot be scraped and are reported as failed, but their article URLs still work.
• Deleted or unknown articles are skipped with a warning.
• topComments holds only the few comments LinkedIn shows publicly; comments is always the full comment count.
• Fields such as authorHeadline, newsletter details, imageUrls, and videoUrls are empty when the article does not have them.
• An article that appears on both a profile and a newsletter in the same run is scraped only once.
• Other LinkedIn pages, such as company pages, posts, or search pages, are not supported and are skipped.

Why use the LinkedIn Articles Scraper?

• ✅ No login needed: works with public data only, so there is no LinkedIn account to risk.
• 📬 Newsletters included: paste a newsletter URL and get its latest editions with full text.
• 🧹 Clean data: plain-text content, real numbers for reactions and followers, and one standard date format.
• 💸 Pay for what you need: set a result limit per profile or newsletter and keep every run small and cheap.
• 🔄 Ready for automation: schedule runs, export to Google Sheets, or connect to Make, Zapier, and n8n.

FAQ

How many articles can I scrape?

As many article URLs as you like. For profiles and newsletters, the actor collects up to your Maximum number of results, limited by how many articles LinkedIn shows publicly (see Notes).

Do I need a LinkedIn account?

No. The actor only collects publicly available articles. You do not need to log in or provide any account details.

Can I scrape data on a schedule?

Yes. Use Apify Schedules to run the actor every hour, day, or week, and get fresh articles and engagement numbers automatically.

Why are some fields empty?

Not every article has every piece of information, for example a newsletter, inline images, or an author headline. When a field is not available on LinkedIn, it is returned as null or an empty list.

Can I request a new feature or filter?

Yes. Right now the actor supports article, profile, and newsletter URLs. If you need other inputs, such as company pages or keyword discovery, get in touch and they can be added.

Can I get a custom or private version?

Yes. The actor can be customized for your workflow, delivered as a private version, or a new scraper can be built for a different website. Use the contact details below.

Need to scrape other LinkedIn data?

• LinkedIn Ad Library Scraper: ads from the LinkedIn Ad Library with advertiser, ad copy, media, run dates, impressions, and targeting.

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Need help or want a custom solution?

• 📧 Email: aboo.script@gmail.com
• 🧩 More scrapers: Apify profile

Image Credit

Image credit: LinkedIn