LinkedIn Newsletter & Article Scraper

Read LinkedIn long-form articles in full — body text, author, publish and edit dates, reactions and comments — and get reading time and a fair cross-author engagement metric computed for you.

No login required. LinkedIn's /pulse/ article pages are open to anonymous visitors.

What you get

{
  "articleTitle": "How do we build a frontier intelligence ecosystem?",
  "authorName": "Satya Nadella",
  "authorFollowers": 12177036,
  "publishedAt": "2026-06-02T19:41:31.000+00:00",
  "modifiedAt": "2026-06-02T19:42:00.000+00:00",
  "wordCount": 215,
  "readingTimeMinutes": 1.0,
  "reactions": 2535,
  "comments": 140,
  "engagementPerThousand": 0.21,
  "articleText": "Great to be back at Microsoft Build today..."
}

engagementPerThousand is the field to sort on. Raw reaction counts just rank authors by audience size. Reactions per thousand followers tells you whether a piece actually landed — and lets you compare a 200-reaction article from a niche expert against a 2,500-reaction one from a CEO with twelve million followers.

modifiedAt next to publishedAt is quietly useful too: it shows which pieces the author went back and revised.

Newsletters: read this before you buy

LinkedIn newsletter series pages are closed to logged-out visitors. Every request to /newsletters/{id} returns HTTP 500 with the same error body — tested against several ids, including real-looking ones. There is no public surface for subscriber counts, and no cookie option in this actor changes that.

What does work: individual newsletter issues are /pulse/ articles. Paste those links into articleUrls and you get the full text and engagement for every issue, exactly like any other article.

If you pass a /newsletters/ URL anyway, the run does not fail — it emits a NOTICE row telling you this. An empty dataset always comes with a reason attached.

Discovering articles instead of listing them

Give authorProfiles a member handle and the actor reads the articles linked from their public profile:

{
  "authorProfiles": ["satyanadella"],
  "maxArticlesPerAuthor": 20,
  "minReactions": 100
}

minReactions is the useful knob here — it turns "everything this person wrote" into "the pieces that actually worked", which is usually the question you were asking.

Comments

includeComments attaches the commenters LinkedIn renders on the public page — name, profile link and comment text — at no extra request cost, since they arrive in the same page load.

The honest limit: LinkedIn publishes roughly the first 8 comments to logged-out visitors. commentSampleSize tells you how many you got and comments tells you the true total, so the gap is always visible rather than assumed away.

Who this is for

• Content strategists — what topics and lengths earn engagement in your field, measured rather than guessed.
• SEO and PR specialists — who is publishing about your category, how often, and who they link to (externalLinks).
• Industry analysts — the SUMMARY row gives median reactions, median length and top hashtags across a whole run, which is a fast read on where executive attention is going.

A parsing note

LinkedIn's article JSON-LD stores the title in name and the opening excerpt in headline — the opposite of what those field names suggest — and articleBody is always empty. Scrapers that trust the field names ship excerpts labelled as titles. This actor reads name for the title and lifts the real body from the rendered page, trimming LinkedIn's byline and "Report this article" chrome off the top.

Rate gating

LinkedIn answers request bursts with HTTP 999 and a ~1.5 KB stub page. It is per-IP and per-burst, not a TLS fingerprint gate. The actor sleeps a random 3–8 seconds between page loads, backs off exponentially when gated, and rotates among five browser fingerprints. Raise both delay bounds if the log shows rate-gate warnings.

Deleted articles redirect to LinkedIn's top-content hub, which answers 200 with no article on it — those produce a not_an_article notice rather than a silently empty row.

Related actors

• LinkedIn Top Voice & Competitor Activity Monitor — posting cadence and format mix for any account.
• LinkedIn Post Engagers Scraper — who engaged with a specific post, with their comments.