LinkedIn Pulse Article Scraper — Full long-form articles, no cookies

Scrape LinkedIn Pulse long-form articles by author — full HTML content, engagement metrics, reaction breakdowns by type, and (optionally) all comments. Clean structured JSON output. No LinkedIn login, no cookies, no browser session, no account ban risk.

Built for content marketing intelligence, thought-leadership tracking, competitive content analysis, archival research, and AI training data.

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The only LinkedIn Pulse scraper on Apify Store

We searched the entire store: zero competitors scrape LinkedIn Pulse articles. Every major LinkedIn vendor (harvestapi, supreme_coder, bebity, get-leads, curious_coder, apidojo) focuses on profiles, companies, posts, and reactions — none of them handles long-form Pulse content.

That makes sense from their economics: short posts are easier and cheaper to scrape than full-page article HTML. But it leaves a gap: how do you systematically track thought-leadership content from CEOs, analysts, VCs, and industry influencers?

	harvestapi	supreme_coder	bebity	get-leads	curious_coder	This actor
Pulse Articles	❌	❌	❌	❌	❌	✅
Full HTML content	—	—	—	—	—	✅ (3-50KB per article)
Engagement breakdown by reaction type	—	—	—	—	—	✅
Article comments included	—	—	—	—	—	✅ (toggleable)

What you get — full pulse article per row

For each profile you input, the actor returns one pulseArticle record per article found (up to maxArticlesPerProfile).

pulseArticle record (24 fields)

• Identity: articleUrn, permalink, activityUrn, threadUrn
• Content: title, contentHtml (full HTML), state (PUBLISHED / draft)
• Author: authorName, authorHeadline, authorUrn, authorId, authorProfileUrl, authorProfilePictureUrl, authorIsInfluencer, authorFollowerCount
• Timing: publishedAtMs (Unix milliseconds), publishedAtIso (ISO 8601 UTC)
• Engagement: totalReactions, commentsCount, repostsCount
• Reaction breakdown: reactionsBreakdown — {LIKE: 4521, EMPATHY: 234, PRAISE: 178, INTEREST: 92, ...}
• Tracking: sourceInput, scrapedAt

pulseComment record (toggleable, ~12 fields)

When includeComments=true, the actor emits each article's top-level comments as separate pulseComment records:

• articleUrn, articlePermalink (back-references to the parent article)
• commentPermalink, commentText, edited
• createdAtMs, createdAtIso
• commenterName, commenterHeadline, commenterProfileUrl, commenterProfilePictureUrl, commenterUrn
• reactionsCount

Comments are returned in the same vendor call as the article body — no extra vendor cost.

Plus diagnostic (1 per failed profile) and summary (1 per run).

Use cases (top 8)

1. Thought-leadership monitoring — track competitor CEOs' long-form takes

Feed competitor CEOs' LinkedIn URLs. Get every recent Pulse article they've published. Track strategic themes, product launches, market positioning — long before they hit press releases.

2. AI training data — long-form content from verified experts

Pulse articles are the highest-signal LinkedIn content type: verified authors, published intent, 3-50KB rich HTML. Ideal for training domain-specific language models on expert-authored content.

3. Content marketing intelligence — analyze what resonates

Track 10-50 thought leaders in your industry. Compare which themes pull 1000+ reactions vs which fall flat. Build your content calendar from data.

4. Investor research — founder/CEO archive

Pull every Pulse article from your target portfolio CEOs. Get a complete record of their public thinking before, during, and after fundraising.

5. PR & analyst tracking — monitor industry analysts

Most B2B analysts (Gartner, IDC, Forrester) publish opinion pieces on Pulse. Track sentiment shifts on your category by name.

6. Recruiting — signal-rich candidate research

Candidates who publish Pulse articles signal: communication skill, domain depth, willingness to be visible. Premium candidate-quality signal.

7. Conference + event content sourcing

Many keynote speakers publish their talk content as Pulse articles after delivering. Build a searchable archive of conference-quality content.

8. Historical archival

LinkedIn occasionally retires content. Backup important Pulse articles to your own dataset for compliance, citation, and reference.

How it works

1. Set profileUrls — LinkedIn profile URLs (https://www.linkedin.com/in/<username>/) or bare usernames.
2. Set maxArticlesPerProfile (1-100, default 10).
3. Optionally enable includeComments (default false).

For each profile, the actor:

1. Resolves the profile URN.
2. Paginates /articles/all to collect article summaries (20 per page).
3. For each article, fetches the full content via /articles/article/info.
4. Emits a pulseArticle record per article. If includeComments, emits pulseComment records too (free — already in the same vendor response).

No login required. No cookies. Cookieless via managed vendor partnership — no account ban risk.

Example input

{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella/",
    "williamhgates"
  ],
  "maxArticlesPerProfile": 5,
  "includeComments": true,
  "maxCommentsPerArticle": 10
}

Returns up to 10 pulseArticle records + up to 100 pulseComment records.

Pricing — pay only for results

$2.00 per 1,000 records. Pay-per-result. (Single flat rate across pulseArticle and pulseComment types.)

• ✅ No subscription
• ✅ No monthly minimum
• ✅ No per-run start fee
• ✅ No charge for failed profiles (clean diagnostic record)
• ✅ Comments are FREE in vendor cost (same call as the article) — you only pay if you opt in to emit them as separate records
• ✅ Apify's free tier ($5/month platform credit) covers ~2,500 articles to start

Why $2/1k? This is the only Pulse article scraper on Apify Store. We could price it premium, but we'd rather drive adoption at a fair price that matches our other LinkedIn actors (a17 Profile at $2/1k). At $2/1k, a 1000-article archive of your top 20 industry thought leaders costs $2.

Combine with other LinkedIn actors

Build a complete LinkedIn intelligence pipeline:

• Feed authorProfileUrl from pulseArticle into the LinkedIn Profile Scraper → enrich author context (current company, location, follower trends)
• Feed activityUrn from pulseArticle into the LinkedIn Post Reactions Scraper → get the actual list of reactors (not just counts)
• Feed authorUrn into the LinkedIn Post Scraper → also pull their short-form posts to round out the content picture

FAQ

Q: What's the difference between Pulse articles and posts? Posts are short-form (≤3,000 chars, often just a few sentences). Pulse articles are long-form (1,000-15,000+ words, full HTML content with formatting). Many CEOs, analysts, and thought leaders publish on Pulse but rarely on the regular feed.

Q: How many Pulse articles can I get per author? The vendor returns up to ~100 historical articles per author. The maxArticlesPerProfile input caps at 100.

Q: Does the contentHtml field include the full article body? Yes. The complete rendered HTML — paragraphs, headings, images, embedded links, lists — exactly as LinkedIn displays it on the Pulse page.

Q: Are comments included by default? No — by default the actor emits only pulseArticle records. Set includeComments: true to also emit each article's top-level comments. There's no extra vendor cost (comments come in the same vendor response), only the cost of the additional pulseComment records you emit.

Q: Can I scrape Pulse articles by company instead of by author? No — Pulse articles are always authored by individuals, not companies. Even when an article is "by Microsoft", the actual author is a Microsoft employee. Use profileUrls.

Q: What about LinkedIn Newsletters? Newsletters are a related but separate content type. Coming soon as a dedicated LinkedIn Newsletter Scraper.

Q: Is this safe to use vs my LinkedIn account? Yes. No login, no cookies, no browser session. The actor never authenticates as you.

Privacy & compliance

This actor scrapes publicly accessible LinkedIn Pulse articles — the same content any logged-out visitor can read by browsing pulse.linkedin.com. Private/unlisted articles are not returned.

LinkedIn content may be subject to LinkedIn's Terms of Use and the article author's copyright. Customers are responsible for compliance with applicable laws (copyright, GDPR, CCPA) when storing or republishing scraped content.

Not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or Microsoft Corporation.