LinkedIn Hashtag & Topic Post Tracker (No Login Required)

Pass a list of LinkedIn hashtags or topic slugs. Get back the top public posts per tag ranked by engagement or recency. One row per post with author, full text, posted date, reactions, comments, reposts, media, and the matched hashtag. No cookies. No login. No Sales Navigator seat. Pay per post.

Built for B2B content marketers, social listening teams, brand managers, agencies pitching thought leadership campaigns, demand gen leads sourcing topical creators, and PR teams tracking conversation around a tag.

Keywords this actor ranks for: linkedin hashtag scraper, linkedin topic scraper, linkedin posts by hashtag, linkedin social listening, linkedin trend tracker, linkedin hashtag tracker no cookie, linkedin top posts by tag, b2b social listening tool, linkedin content discovery.

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Why this actor

Other LinkedIn social listening tools	This actor
Need your session cookie	Zero cookies, zero login
Seat licence per month	Pay per post returned
Lock you into preset topic categories	Bring your own hashtag and slug list
Output noisy raw feeds	Pre filter by minimum reactions, date window, and sort order
Bury post URLs behind dashboards	Direct embed and share URLs on every row

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How it works

flowchart LR
    A[Hashtags + topic slugs] --> B[Search index<br/>site:linkedin.com/posts/ #tag]
    B --> C[Public post embed<br/>no auth needed]
    C --> D[Verify hashtag in body]
    D --> E[Filter by date<br/>and min reactions]
    E --> F[Sort by engagement<br/>or recency]
    F --> G[(One row per post<br/>ranked within tag)]

The actor finds candidate public post URLs through search, loads each post via LinkedIn's anonymous embed endpoint, verifies the hashtag is actually in the rendered body, then sorts the winners per tag. No cookie passes through the actor at any stage.

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What you get per row

flowchart LR
    R[Post row] --> R1[Identity<br/>id urn share url embed url]
    R --> R2[Matched via<br/>hashtag or topic]
    R --> R3[Author<br/>name handle headline kind]
    R --> R4[Content<br/>text textHtml hashtags media]
    R --> R5[Engagement<br/>reactions comments reposts total]
    R --> R6[Rank in tag]

Pipe straight into a social listening dashboard, a topical creator shortlist, a competitive content audit, or a paid sponsorship target list.

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Quick start

Track AI conversation on LinkedIn this month

{
  "hashtags": ["ai", "machinelearning", "genai"],
  "maxPostsPerHashtag": 25,
  "postedLimitDate": "2026-04-10",
  "sortBy": "engagement"
}

High signal only

{
  "hashtags": ["devrel", "developermarketing"],
  "minReactions": 50,
  "maxPostsPerHashtag": 20,
  "sortBy": "engagement"
}

Newest first, broad sweep

{
  "hashtags": ["fintech"],
  "maxPostsPerHashtag": 100,
  "searchDepth": 10,
  "sortBy": "recency"
}

Topic slug instead of hashtag

{
  "topicSlugs": ["artificial-intelligence", "leadership-development"],
  "maxPostsPerHashtag": 25
}

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Sample output

{
  "id": "7186214038214238208",
  "urn": "urn:li:activity:7186214038214238208",
  "url": "https://www.linkedin.com/posts/jane-doe_ai-genai-activity-7186214038214238208-AbCd",
  "embedUrl": "https://www.linkedin.com/embed/feed/update/urn:li:activity:7186214038214238208/",
  "matchedVia": { "kind": "hashtag", "value": "ai" },
  "rankInTag": 1,
  "hashtags": ["ai", "genai", "llm"],
  "author": {
    "name": "Jane Doe",
    "url": "https://www.linkedin.com/in/jane-doe/",
    "headline": "VP Product at Acme. Ex Google.",
    "kind": "person"
  },
  "text": "Three things every product team should stop doing in 2026 about #ai...",
  "postedAt": "2026-05-04T15:00:00.000Z",
  "postedText": "1w",
  "engagement": {
    "reactions": 4820,
    "comments": 312,
    "reposts": 188,
    "total": 5320
  },
  "media": {
    "images": ["https://media.licdn.com/.../image.jpg"],
    "videoUrl": null,
    "articleUrl": null,
    "ogImage": "https://media.licdn.com/.../og.jpg"
  },
  "scrapedAt": "2026-05-10T10:00:00.000Z"
}

---

Who uses this

Role	Use case
Content marketer	Find the top performing posts in your category to model future content against
Social listening lead	Track conversation volume and tone around a brand, product, or industry tag
Brand manager	Spot a rising hashtag early and brief the creative team before the wave peaks
Agency strategist	Build a "what is working on LinkedIn right now" report per client industry
Demand gen lead	Discover topical creators worth a paid promotion before they are saturated
PR team	Monitor third party voices weighing in on a launch, an outage, or a crisis
Recruiter	Identify the loudest people in a niche to fill thought leadership roles

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Input reference

Field	Type	What it does
hashtags	string[]	LinkedIn hashtags to track. Leading '#' optional.
topicSlugs	string[]	Optional topic slugs from linkedin.com/pulse/topics/{slug}.
maxPostsPerHashtag	integer	Cap on posts per tag. Default 25. Zero means take everything.
postedLimitDate	string	Skip posts older than this date (ISO or epoch ms).
minReactions	integer	Drop posts below this reaction count. Default 0.
sortBy	enum	engagement (default) or recency.
searchDepth	integer	Search result pages walked per tag. Default 5.
concurrency	integer	Pages processed in parallel. Default 6.
proxyConfiguration	object	Apify proxy. Residential is required at any meaningful volume.

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API call

curl -X POST \
  "https://api.apify.com/v2/acts/YOUR_USER~linkedin-hashtag-posts-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "hashtags": ["ai", "devrel"],
    "minReactions": 100,
    "maxPostsPerHashtag": 25
  }'

---

Pricing

The first three posts per run are free so you can validate output before paying. After that, each post 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 public post embed pages and a public search engine. Your account is never touched.

How is this different from the LinkedIn Profile Post Tracker?

The Profile Post Tracker discovers posts by author. This actor discovers posts by topic. Use Profile Post Tracker when you already know whose posts you want; use this when you want the top voices around a tag regardless of who posted them.

Why are some posts missing from the results?

LinkedIn only exposes posts via the public share URL when the author keeps the post public. Posts behind connection only or company only visibility never appear in search and are never fetched by this actor.

How accurate is the engagement count?

LinkedIn rounds public engagement counts above a thousand (for example "1,234 reactions" may render as "1.2K"). The actor parses the rendered count, so very high engagement posts may be rounded.

Why does the actor verify the hashtag against the post body?

Search engines sometimes return loosely related posts that mention a tag in a comment rather than in the post itself. The actor reads the rendered body and the hashtag link list and only keeps posts where the tag is present in the post itself.

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 data you have no lawful basis to process.

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Related actors

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