LinkedIn Pulse Articles Scraper (No Login Required)

Pull long-form Pulse articles from any LinkedIn author or by topic. No cookies. No login. No Sales Navigator seat. Each row ships the full article body, title, author, published date, cover image, topic tags, word count, and engagement counts. Pay per article.

Built for content marketers, ghostwriters, competitive intelligence teams, and analysts who need clean structured access to LinkedIn long form content for benchmarking, research, and lead generation.

Keywords this actor ranks for: linkedin pulse scraper, linkedin article api, linkedin long form content scraper, linkedin pulse to json, linkedin author tracker, linkedin thought leadership tracker, linkedin content benchmarking, linkedin article scraper no cookie, scrape linkedin pulse, linkedin newsletter alternative, linkedin content monitoring, content competitive intel.

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Why this actor

Other LinkedIn article scrapers	This actor
Need your session cookie	Zero cookies, zero login
Risk your account on every run	Touches only public surfaces with residential proxy
Single text blob per article	Title, subtitle, body, author, date, tags all parsed into discrete fields
Only accept direct URLs	Discover by author profile, by keyword, or paste URLs
Drop word count and reading time	Both included on every row

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How it works

flowchart LR
    A1[Article URLs] --> C[Public Pulse page<br/>residential proxy]
    A2[Author profiles] --> B[Search engine<br/>discovery layer]
    A3[Keywords] --> B
    B --> C
    C --> D[Parse JSON-LD Article<br/>plus meta tags]
    D --> E[Normalize into discrete fields]
    E --> F[Push one row per article]
    F --> G[(JSON CSV Excel API)]

Discovery happens through search engines that already index public LinkedIn Pulse URLs. Each article is then fetched with a real Chrome browser fingerprint behind a residential proxy, the actor parses the JSON-LD Article schema first, then falls back to Open Graph meta tags and DOM extraction.

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What you get per row

flowchart LR
    R[Article row] --> R1[Identity<br/>key url title]
    R --> R2[Author<br/>name profileUrl headline]
    R --> R3[Content<br/>subtitle bodyText bodyHtml]
    R --> R4[Stats<br/>wordCount readingMinutes]
    R --> R5[Tags<br/>topic tags array]
    R --> R6[Timing<br/>publishedAt updatedAt]

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Quick start

Track every article from one author

{
  "profileUrls": ["https://www.linkedin.com/in/satyanadella/"],
  "maxArticles": 50
}

Topic discovery (find Pulse articles on a topic)

{
  "keywords": ["AI strategy", "devrel playbook"],
  "maxArticles": 25
}

Enrich a known article list

{
  "articleUrls": [
    "https://www.linkedin.com/pulse/your-article-slug-author-handle"
  ]
}

---

Sample output

{
  "key": "ai-electricity-our-time-satya-nadella",
  "url": "https://www.linkedin.com/pulse/ai-electricity-our-time-satya-nadella/",
  "discoveredVia": { "kind": "profile", "value": "profile:satyanadella" },
  "title": "AI is the new electricity",
  "subtitle": null,
  "author": {
    "name": "Satya Nadella",
    "profileUrl": "https://www.linkedin.com/in/satyanadella/",
    "headline": "Chairman and CEO at Microsoft"
  },
  "publishedAt": "2026-04-21T14:00:00.000Z",
  "updatedAt": null,
  "bodyText": "Every era has a foundational technology...",
  "bodyHtml": "<p>Every era has a foundational technology...</p>",
  "wordCount": 1820,
  "readingMinutes": 8,
  "coverImage": "https://media.licdn.com/dms/image/...",
  "tags": ["Artificial Intelligence", "Leadership", "Strategy"],
  "engagement": { "reactions": 12400, "comments": 318 },
  "scrapedAt": "2026-05-08T10:00:00.000Z"
}

---

Who uses this

Role	Use case
Content marketer	Benchmark long form performance across a peer set
Ghostwriter	Pull every published article from a target executive to study voice
Competitive intel	Track what a competitor's CEO is publishing in real time
Analyst	Topic monitoring across a keyword list to spot emerging narratives
PR team	Track executive thought leadership output across a portfolio
Researcher	Build a long form dataset on a topic without paying a media monitoring vendor

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Input reference

Field	Type	What it does
articleUrls	string[]	Direct Pulse article URLs.
profileUrls	string[]	Author profiles to discover articles by.
keywords	string[]	Topics to discover articles for via public search.
maxArticles	integer	Cap per profile or keyword. 0 means everything we can discover.
includeBody	boolean	Keep the full body text and HTML on each row. Default true.
concurrency	integer	Pages processed in parallel. Six is the safe default.
proxyConfiguration	object	Apify proxy. Residential is required at any meaningful volume.

---

API call

curl -X POST \
  "https://api.apify.com/v2/acts/YOUR_USER~linkedin-pulse-articles-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "profileUrls": ["https://www.linkedin.com/in/satyanadella/"],
    "maxArticles": 25
  }'

---

Pricing

The first 3 articles per run are free so you can validate output before paying. After that, each article row is charged. No surprise add on charges.

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FAQ

Do I need a LinkedIn account or cookie?

No. The actor only touches LinkedIn's public Pulse pages from a residential proxy with a real Chrome fingerprint. Your account is never touched.

How does discovery work without my cookie?

A search engine site query finds public LinkedIn Pulse URLs from the target author or topic. Public Pulse URLs are designed to be indexed which is why articles show up in Google. The actor pulls each article from LinkedIn's public Pulse page after that.

Why do I need residential proxy?

LinkedIn aggressively blocks datacenter IPs on Pulse pages. Residential proxy is the only configuration that consistently returns the article body to anonymous viewers. Apify residential proxy is preconfigured by default.

How fresh is the data?

Each run hits the live article page so reaction counts, comment counts, and updated dates reflect what LinkedIn renders at scrape time.

Is scraping LinkedIn allowed?

This actor reads HTML any anonymous web visitor can see. Respect LinkedIn's terms and rate limit sensibly. Do not redistribute author or commenter identities you have no lawful basis to process.

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