LinkedIn Influencer & Creator Finder — Rank Creators and Top Voices by Niche, No Login

Find the LinkedIn creators worth following, partnering with, or monitoring — not just people with a matching job title.

Give the actor a niche ("artificial intelligence", "B2B marketing", "cybersecurity"), keywords, or your own list of profile URLs. It finds candidate creators on LinkedIn's public surfaces, reads each public profile and its recent posts, and returns one ranked row per creator with:

• Reach — exact follower count and a follower tier (NANO / MICRO / MID / MACRO).
• Status — the LinkedIn Top Voice and Creator badges, reported only when the public profile shows them.
• Activity — posts in your window, posting frequency per week, latest post date.
• Engagement — total, average and median reactions, comments and engagement, engagement rate per follower, consistency, best post.
• Niche fit — a 0–100 topic relevance score, the primary topic and every matched topic/keyword.
• A 0–100 creator score with a per-dimension breakdown, a confidence level, and plain-language signals such as TOP_VOICE_BADGE, HIGH_TOPIC_RELEVANCE, STRONG_RECENT_ENGAGEMENT, CONSISTENT_POSTING.
• Evidence posts — the creator's most relevant recent posts, chosen by topic match, engagement and recency.

No LinkedIn login, no cookies, no Sales Navigator. Only public guest pages over HTTP.

---

How is this different from a LinkedIn people search?

	People search / profile scrapers	This actor
Input	Title, company, location	Niche / topic, keywords, or profile URLs
Output	Everyone who matches	Only people who behave like creators
Qualification	None	Must show public recent posts, a creator badge, Top Content presence or real engagement
Ranking	Search order	Creator score from relevance, engagement, consistency, reach and badges
Engagement	Rarely	Average + median reactions/comments, engagement rate, consistency
Explainability	—	Signals, cautions, score breakdown, evidence posts

A profile with 10,000 followers and no public content is not returned as a creator.

---

Quick start

Example 1 — creators for a niche (the input behind the sample output below)

{
    "mode": "HYBRID",
    "topics": ["artificial intelligence"],
    "maxCreators": 10
}

Example 2 — micro and mid-tier creators

{
    "mode": "HYBRID",
    "topics": ["B2B marketing"],
    "minFollowers": 5000,
    "maxFollowers": 50000,
    "postsPerCreator": 10,
    "recentDays": 90,
    "minPostsInWindow": 3,
    "sortBy": "CREATOR_SCORE",
    "maxCreators": 100
}

Example 3 — only LinkedIn Top Voices

{
    "mode": "TOP_CONTENT",
    "topics": ["leadership", "sales"],
    "onlyTopVoice": true,
    "maxCreators": 100
}

Example 4 — creators based in Australia

{
    "mode": "HYBRID",
    "topics": ["cybersecurity"],
    "locations": ["Australia"],
    "minFollowers": 1000,
    "requireRecentPosts": true,
    "maxCreators": 50
}

Example 5 — score a list you already have

{
    "mode": "PROFILE_SEEDS",
    "profileUrls": ["https://www.linkedin.com/in/alliekmiller", "https://www.linkedin.com/in/sebastianraschka"],
    "topics": ["artificial intelligence", "machine learning"],
    "postsPerCreator": 10
}

---

How creators are discovered

Mode	What it does
HYBRID (default)	Everything below together: topics + keywords + your profile URLs + similar-profile expansion.
TOPIC	Finds LinkedIn Top Content pages that match your topics and takes their post authors as candidates, then expands with "other similar profiles" of qualified creators.
KEYWORD	The same discovery, driven by your keywords; relevance is measured against the keywords.
TOP_CONTENT	Top Content authors only — no expansion. Topics are optional; without them the directory is sampled broadly.
PROFILE_SEEDS	Scores the profile URLs you provide. Nothing else is discovered.

Top Content is LinkedIn's public directory of high-performing posts, organised into ~40 categories (Artificial Intelligence, Marketing, Technology, Sales, Leadership…) and hundreds of subtopics. A niche that is not a category of its own is found one level down — "cybersecurity" lives under Technology → Cybersecurity Risks, Cybersecurity Tools and Testing.

Every candidate is deduplicated on its canonical profile URL (https://uk.linkedin.com/in/x/, linkedin.com/in/x and https://www.linkedin.com/in/x are one creator), then its public profile is read and it must pass creator qualification before it can be ranked or charged.

LinkedIn's own people search and content search require a login, so this actor does not use them. Discovery is therefore as broad as LinkedIn's public Top Content directory plus similar-profile expansion — very good for established and rising niche creators, not a complete census of everyone who posts about a topic. If you already know who you want to analyse, PROFILE_SEEDS covers any public profile.

---

Output

One dataset row per qualified creator, ranked. Three dataset views: Ranked creators, Engagement detail and Evidence posts.

The samples below are real records from a run with Example 1's input ("topics": ["artificial intelligence"], maxCreators: 10), collected 2026-10-22. Long text is shortened with ...; nothing else is edited.

Ranked creators

A full row, here the #1 creator in that run:

{
    "rowType": "linkedin_creator",
    "rank": 1,
    "creatorScore": 92,
    "confidence": "HIGH",
    "creatorSignals": ["TOP_VOICE_BADGE", "CREATOR_BADGE", "TOP_CONTENT_AUTHOR", "HIGH_TOPIC_RELEVANCE", "STRONG_RECENT_ENGAGEMENT", "CONSISTENT_POSTING", "HIGH_FOLLOWER_REACH", "RECENTLY_ACTIVE", "PUBLIC_RECENT_POSTS"],
    "cautionSignals": [],
    "creatorSummary": "#1 Most Followed Voice in AI Business (2M) | Former Amazon, IBM | Fortune 500 AI and St... (LinkedIn Top Voice); 1.7M followers; posting ~1.7x/week; about artificial intelligence (relevance 90/100); median 472 reactions+comments per post.",
    "profile": {
        "fullName": "Allie K. Miller",
        "firstName": "Allie",
        "lastName": "K. Miller",
        "profileUrl": "https://www.linkedin.com/in/alliekmiller",
        "publicIdentifier": "alliekmiller",
        "headline": "#1 Most Followed Voice in AI Business (2M) | Former Amazon, IBM | Fortune 500 AI and Startup Advisor, Public Speaker | ...",
        "about": null,
        "location": "New York, New York, United States",
        "country": "US",
        "profileImage": "https://media.licdn.com/dms/image/v2/C5603AQFcmNxBigo9_g/profile-displayphoto-shrink_200_200/...",
        "currentTitle": "Scientific Advisory Board Member",
        "currentCompany": "Thrive Global",
        "companyUrl": "https://www.linkedin.com/company/thrive-global",
        "followers": 1678630,
        "connections": "500+",
        "badges": ["TOP_VOICE", "CREATOR"],
        "isTopVoice": true,
        "isCreator": true,
        "creatorTier": "MACRO",
        "website": null
    },
    "topics": {
        "primaryTopic": "artificial intelligence",
        "secondaryTopics": [],
        "matchedTopics": ["artificial intelligence"],
        "matchedKeywords": [],
        "topicRelevance": 90,
        "contentConsistency": 100
    },
    "activity": {
        "recentDays": 90,
        "postsAnalyzed": 9,
        "postsInWindow": 9,
        "postsVisible": 17,
        "postingFrequencyPerWeek": 1.67,
        "postingFrequencyBasis": "OBSERVED_SPAN",
        "latestPostAt": "2026-10-20T19:05:23.667Z",
        "daysSinceLatestPost": 1.8
    },
    "engagement": {
        "totalReactions": 2892,
        "totalComments": 1445,
        "avgReactions": 321,
        "medianReactions": 339,
        "avgComments": 161,
        "medianComments": 159,
        "avgEngagement": 482,
        "medianEngagement": 472,
        "bestPostEngagement": 718,
        "engagementRate": 0.0003,
        "medianEngagementRate": 0.0003,
        "commentToReactionRatio": 0.5,
        "engagementConsistency": 0.79,
        "viralPostShare": 0.17,
        "commentCountsComplete": true
    },
    "scoreBreakdown": {
        "topicRelevance": 27,
        "recentEngagement": 17.8,
        "engagementConsistency": 11.9,
        "postingConsistency": 10,
        "followerReach": 10,
        "topVoiceOrCreator": 10,
        "contentRecency": 5,
        "penalties": {},
        "rescaledWithoutTopics": false
    },
    "evidencePosts": [
        {
            "postUrl": "https://www.linkedin.com/posts/alliekmiller_honest-question-is-every-comment-section-activity-7516894496090136577-_fxE",
            "text": "Honest question: is every comment section on here mostly AI? ...",
            "publishedAt": "2026-10-16T16:15:05.013Z",
            "postType": "POST",
            "reactions": 386,
            "comments": 332,
            "hashtags": [],
            "matchesTopic": true
        }
    ],
    "discoveredVia": ["TOP_CONTENT"],
    "topContentPages": [
        { "url": "https://www.linkedin.com/top-content/innovation/ai-trends-and-innovations/", "name": "AI Trends and Innovations" },
        { "url": "https://www.linkedin.com/top-content/artificial-intelligence/ai-evaluation-methods/", "name": "AI Evaluation Methods" }
    ],
    "status": "SUCCESS",
    "scrapedAt": "2026-10-22T13:41:28.941Z"
}

(The real row carries 3 evidence posts; one is shown.)

Engagement detail

This tab shows the activity and engagement numbers, plus any caution signals. Here is rank 6 from the same run. This creator has far fewer followers than the five ranked above, but the highest engagement rate in the run:

{
    "rank": 6,
    "profile": {
        "fullName": "Sebastian Raschka, PhD",
        "profileUrl": "https://www.linkedin.com/in/sebastianraschka",
        "followers": 272378
    },
    "activity": {
        "postsAnalyzed": 8,
        "postsInWindow": 8,
        "postingFrequencyPerWeek": 0.92
    },
    "engagement": {
        "totalReactions": 16463,
        "totalComments": 748,
        "avgReactions": 2058,
        "medianReactions": 2045,
        "avgComments": 94,
        "medianComments": 84,
        "avgEngagement": 2151,
        "medianEngagement": 2127,
        "bestPostEngagement": 4417,
        "engagementRate": 0.0079,
        "medianEngagementRate": 0.0078,
        "engagementConsistency": 0.67,
        "commentToReactionRatio": 0.045,
        "viralPostShare": 0.26
    },
    "topics": { "contentConsistency": 71 },
    "cautionSignals": []
}

Evidence posts

Each creator's most relevant recent posts, ranked by topic match, engagement and recency. They can be posts or LinkedIn articles. Here are two from the same run (rank 3 and rank 2):

[
    {
        "rank": 3,
        "profile": { "fullName": "Pascal BORNET", "profileUrl": "https://www.linkedin.com/in/pascalbornet" },
        "topics": { "primaryTopic": "artificial intelligence" },
        "evidencePosts": [
            {
                "postUrl": "https://www.linkedin.com/posts/pascalbornet_sponsored-salesforcepartner-agenticai-activity-7517902566387527680-acio",
                "text": "Autonomous agents shouldn't run on a short leash, but setting them loose without boundaries is reckless. True scale comes from building the right harness around the model. #sponsored ...",
                "publishedAt": "2026-10-19T11:00:47.701Z",
                "postType": "POST",
                "reactions": 1983,
                "comments": 272,
                "hashtags": ["sponsored", "SalesforcePartner", "AgenticAI", "TechLeadership", "AIGovernance", "EnterpriseAI", "DF26"],
                "matchesTopic": true
            }
        ]
    },
    {
        "rank": 2,
        "profile": { "fullName": "Andrew Ng", "profileUrl": "https://www.linkedin.com/in/andrewyng" },
        "topics": { "primaryTopic": "artificial intelligence" },
        "evidencePosts": [
            {
                "postUrl": "https://www.linkedin.com/pulse/ai-engineering-skills-map-andrew-ng-m479c",
                "text": "The AI Engineering Skills Map",
                "publishedAt": "2026-08-14T16:29:48.000Z",
                "postType": "ARTICLE",
                "reactions": 14235,
                "comments": 429,
                "hashtags": [],
                "matchesTopic": true
            }
        ]
    }
]

Every row carries the full record, whichever view you open: scoreBreakdown (points per dimension and any penalties) and topContentPages (where the creator was found) are always included. Any value LinkedIn does not expose publicly is null — never a guessed number, never a zero standing in for "unknown".

---

How the creator score is calculated

creatorScore is a 0–100 Coregent analytical metric — not an official LinkedIn score. Points per dimension:

Dimension	Max	What earns it
Topic relevance	30	topicRelevance ÷ 100 × 30
Recent engagement	20	Median engagement per post, log-scaled (~1,000 median earns the full 20)
Engagement consistency	15	How evenly posts perform (one viral hit doesn't count)
Posting consistency	10	Posts per week, full marks at one a week — more is not better
Follower reach	10	Followers, log-scaled (1M = 10)
Top Voice / Creator	10	Top Voice badge 10; Creator badge or Top Content author 6
Content recency	5	Latest post ≤ 7 days 5, ≤ 30 days 3, inside the window 1

Penalties: no recent posts −25, single viral post only −10, low topic relevance −20, fewer than 3 posts analysed −15. With no topics or keywords the 70 non-topic points are rescaled to 100, so profile-seed runs without a niche still rank sensibly. Weights are V1 defaults and are shown on every row.

How topic relevance is calculated

0–100 per topic, from the creator's headline/About/title, the analysed recent posts, their hashtags and Top Content placement:

Component	Max
Profile relevance (headline / About / title / company)	25
Recent content match (share of analysed posts about the topic)	50
Hashtag match	10
Found on a Top Content page for this topic	15

Matching is deterministic: whole-word phrase matching plus a short list of common synonyms (e.g. "artificial intelligence" ↔ "AI", "machine learning", "LLM"). No AI call per creator. topicRelevance is the best topic; matchedTopics / matchedKeywords list every topic with real evidence (≥ 20).

Creator tiers

Tier	Followers
NANO	< 5,000
MICRO	5,000 – 25,000
MID	25,000 – 100,000
MACRO	> 100,000

Top Voice is a separate flag (isTopVoice) that coexists with any tier. Selecting TOP_VOICE in creatorTiers keeps Top Voices of any size.

---

Pricing — what you are charged for

Pay per event, one event:

• creator-result — charged once per unique, qualified creator delivered to the dataset.

Never charged: candidates that fail qualification or your filters, duplicates, profiles that are private or unavailable, profiles LinkedIn refused to serve, and the run summary. A run that finds no qualified creators costs nothing in creator charges.

This README deliberately doesn't quote prices — see the Pricing tab for the live per-creator rate. Per-run spending limits are honoured: the actor never analyses or delivers more creators than your limit can pay for.

---

Filters

Filter	Notes
minFollowers / maxFollowers	Follower range. Creators without a public follower count are excluded when a minimum is set. Applied before profile fetches when Top Content already shows the count, so a micro-creator search doesn't spend effort on celebrities.
creatorTiers, onlyTopVoice	Tier and badge filters.
locations	The creator's profile location — where they live, not where their audience is.
industries	Approximate: matched against headline, About, company and Top Content category (guest profiles have no industry field).
jobTitleKeywords	Headline / title contains one of these. Optional — many strong creators have ordinary business titles.
requireRecentPosts, minPostsInWindow, recentDays	Activity requirements.
minAverageReactions, minAverageComments, minEngagementRate	Engagement thresholds over the analysed posts.
minTopicRelevance (default 40), minCreatorScore	Quality thresholds.

Run summary

The RUN_SUMMARY key-value record reports coverage for every run: topics, Top Content pages read, candidates discovered and unique, profiles enriched / unavailable / blocked, profiles with followers / badges / recent posts, posts collected, creators qualified / rejected / delivered, Top Voices found, a count per rejection reason (LOW_TOPIC_RELEVANCE, NO_PUBLIC_POSTS, BELOW_FOLLOWER_THRESHOLD, …), request health and charged events. status is one of SUCCESS, PARTIAL_RESULT, NO_RESULTS, BLOCKED, RATE_LIMITED.

Run timeout: the actor stops starting new requests a few minutes before the run's timeout, so the creators found so far are always delivered rather than lost when the run is killed. If that cuts a run short, stoppedAtDeadline is true, the status is PARTIAL_RESULT, and the log says so. For a very large maxCreators, raise the timeout in the run options.

• RETRY_INPUT — when LinkedIn refused some profiles, a ready-to-run PROFILE_SEEDS input containing just those profiles.
• REJECTED_CANDIDATES — with debugMode on, every rejected candidate and why.

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FAQ

What is a LinkedIn creator? Here: someone who publishes publicly and gets engagement — shown by recent public posts, a Creator or Top Voice badge, Top Content placement, or real engagement. Not everyone with followers.

Does it require a LinkedIn login or cookies? No. Public guest pages only. You never provide li_at or any credential.

What is a Top Voice? LinkedIn's badge for members it recognises for expertise in a topic. isTopVoice is true only when the public profile shows it — the actor never infers it.

How many recent posts are analysed? Up to postsPerCreator (default 10) from inside recentDays (default 90). LinkedIn's public profile shows roughly the latest 8 posts plus recent articles, so very prolific creators are measured on that latest sample; posting frequency is then computed over the time span the sample actually covers (postingFrequencyBasis: "OBSERVED_SPAN"), not diluted across the whole window.

What if a profile has no public posts? It is rejected (NO_PUBLIC_POSTS) with the default requireRecentPosts: true, and never charged. Turn the option off to score badge-only profiles.

What does engagement rate mean? Average (reactions + comments) per analysed post ÷ followers. null when the follower count is missing or zero. medianEngagementRate uses the median instead, which one viral post can't distort.

Are follower counts always available? For almost every public profile, yes (exact count from the profile). When not, followers is null and the row gets FOLLOWER_COUNT_UNAVAILABLE.

Are comment counts always available? The public profile shows them for recent posts. If one is missing, the actor reads that post's public page (fetchMissingCommentCounts); otherwise the row is flagged COMMENT_COUNTS_INCOMPLETE and averages use the counts that are known.

Can I filter by country or city? Yes, locations, matched against the creator's profile location.

Can I find micro-influencers? Yes — maxFollowers, or creatorTiers: ["NANO", "MICRO"].

Can I find only Top Voices? Yes — onlyTopVoice: true.

Can I provide profile URLs? Yes — PROFILE_SEEDS mode, or alongside topics in HYBRID. Up to 1,000.

Does it return email addresses? No. This actor ranks creators; chain a separate email-finder actor if you need contact data.

What are the public-profile limitations? Members can hide parts of their profile from guests (some fields appear masked and are returned as null); post history is limited to the recent sample LinkedIn shows publicly; reach, impressions and audience demographics are not public and are not estimated.

Proxy policy

Use Apify Datacenter proxy (default) or no proxy. LinkedIn throttles bursts of profile requests from one IP range with HTTP 429 / 999; the actor keeps concurrency low, backs off exponentially, rotates sessions, and never charges for a profile it could not read.

Apify Residential proxy is not supported. The actor fails at startup if apifyProxyGroups includes RESIDENTIAL. Reason: in pay-per-event actors residential bandwidth is billed to the developer, not the run user, so a bandwidth-heavy run could exceed the per-creator revenue.

If you genuinely need residential routing, supply your own provider via the proxy editor's Custom proxy URLs — that traffic goes through your provider, not Apify:

http://user:pass@proxy.iproyal.com:12321
http://user:pass@proxy.brightdata.com:22225
http://user:pass@proxy.oxylabs.io:7777

Integrations

API (cURL)

curl -X POST "https://api.apify.com/v2/acts/coregent~linkedin-influencer-creator-finder/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"TOPIC","topics":["artificial intelligence"],"maxCreators":25}'

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("coregent/linkedin-influencer-creator-finder").call(
    run_input={"mode": "TOPIC", "topics": ["B2B marketing"], "maxFollowers": 50000, "maxCreators": 50}
)
for creator in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(creator["rank"], creator["profile"]["fullName"], creator["creatorScore"])

MCP (AI agents)

Add the actor to any MCP client through the Apify MCP server, e.g. https://mcp.apify.com?actors=coregent/linkedin-influencer-creator-finder, then ask your agent: "Find 20 cybersecurity creators on LinkedIn with 5K–50K followers and strong engagement."

Limitations & interpretation

• Unofficial product; not affiliated with LinkedIn. Public data only.
• Public availability varies by profile; follower counts and engagement change over time.
• Creator scores, tiers and relevance are Coregent-derived analytical metrics based on a sample of recent public content.
• Follower count does not equal audience quality; profile location does not represent audience geography.
• Top Voice status is reported only where publicly detectable.
• No audience demographics, impressions, sponsorship value or "influence" estimates — and no claim of complete LinkedIn coverage.
• You are responsible for how you use the data, including applicable privacy law and LinkedIn's terms.