LinkedIn Trending Posts & Top Voices Feed Scraper
Pull LinkedIn's trending and top-performing posts by topic keyword, with reaction/comment/repost counts, a per-reaction-type breakdown, author headline, and media type, so you can filter by engagement thresholds, date window, or media type.
Open in Apify Store$0.99 / 1K on Free
Short answer
LinkedIn Trending Posts & Top Voices Feed Scraper is an Apify Store Actor for LinkedIn data that returns 19 published output fields, including postedAt, headline, content, topicTitle. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 20 input settings, none required. It covers 7 of the 8 core LinkedIn fields this site tracks. Last updated Oct 31, 2026.
From the public Store listing and published build schema, synced 2026-11-12.What it returns
19 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
authorNameauthorFollowersauthorIsInfluencerpostedAtheadlinecontentmediaTypereactionsCountcommentsCounttopicTitletopicRankpostUrlvoiceNamevoiceHeadlinevoiceFollowersvoiceBadgevoiceClassvoiceRegionvoiceProfileUrl
Not in the schema among the core LinkedIn fields: company. The field matrix shows which other tools return them.
How it differs from the other LinkedIn Actors
Among the 19 catalogue Actors for LinkedIn with a published schema, only this one returns authorIsInfluencer, topicRank, voiceFollowers, voiceClass.
Pick another Actor if you need
| Actor | Fields it adds | Price / 1K |
|---|---|---|
| LinkedIn People Search by Name with Company & School Filters | currentCompany | $0.99 |
| LinkedIn Guest-View Profile Data Extractor | followersCount, connectionsText, summary, profilePicture | $0.99 |
| LinkedIn University Alumni Search by Degree & Year | alumniCount, insightDimension | $0.99 |
| B2B Lead Discovery by Job Title & Location | company, linkedinUrl, sourceQuery | $0.99 |
| LinkedIn Profile Scraper with Company & Credential Data | currentTitle, currentCompany, followersCount, connectionsCount | $0.99 |
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | No | auto | What to scrape. 'Top Content directory' crawls LinkedIn's public curated topic pages; 'Top Voices class' reads a quarterly LinkedIn News honoree list; 'Post URLs' enriches specific public posts. |
| topics | array | No | – | Pick one or more Top Content topics or subtopics, or paste any /top-content/... path or URL (custom values are accepted). Topic page = ~9-10 ranked posts; subtopics add ~20 more pages each. (mode=topContent/auto) |
| maxDepth | string | No | 2 | How deep to crawl each selected topic. 2 = the topic page only (~10 posts); 3 = topic + its 20 subtopics; 4 = subtopics + their leaves (very large; use maxPosts). (mode=topContent/auto) |
| startUrls | array | No | [] | Exact /top-content/... pages to scrape instead of expanding topics. Each page returns its ranked posts only. (mode=topContent/auto) |
| postUrls | array | No | [] | Public LinkedIn post URLs to enrich directly: /posts/..., /feed/update/urn:li:activity|share|ugcPost:..., or country subdomains. (mode=postUrls/auto) |
| topVoiceClassUrls | array | No | [] | LinkedIn News Top Voices class articles (/pulse/...). Leave empty to use the latest US class. (mode=topVoices/auto) |
| maxVoices | integer | No | 100 | Maximum Top Voices honorees to return after deduplication. (mode=topVoices) |
| maxPosts | integer | No | 50 | Maximum posts to deliver after deduplication, filtering and sorting. Depth 2 across one topic usually has fewer than 10 unique posts; deeper crawls have more. |
| sortBy | string | No | linkedin_rank | Order of the delivered posts. 'LinkedIn rank' preserves each page's editorial order. |
| dateRange | string | No | – | Only return posts published inside this window. LinkedIn Top Content is a curated archive, so 24h/7d/30d windows are often empty. |
Show the other 10 settings
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| postedAfter | string | No | – | Only return posts published on or after this date (YYYY-MM-DD). |
| postedBefore | string | No | – | Only return posts published on or before this date (YYYY-MM-DD). |
| minReactions | integer | No | 0 | Only return posts with at least this many reactions. |
| minComments | integer | No | 0 | Only return posts with at least this many comments. |
| mediaTypeFilter | string | No | – | Only return posts of one media type. Public Top Content pages contain text, image, video and article posts. |
| onlyInfluencers | boolean | No | false | Return only posts whose author carries LinkedIn's public 'Influencer' badge. This is not the same as a Top Voices class membership. |
| includeComments | boolean | No | true | Attach the public comments embedded on each post page (up to maxComments). |
| maxComments | integer | No | 10 | Comments to keep per post. Public post pages embed about 10. |
| includeVideoTranscript | boolean | No | false | Add the transcript when a public video post publishes one. |
| proxyConfiguration | object | No | – | Optional proxy override. The actor works without a proxy; it only falls back to Apify's datacenter proxy if LinkedIn blocks the request. |
Example input
Built from the input form's published example values and defaults.
{
"mode": "topContent",
"topics": [
"artificial-intelligence"
],
"maxDepth": "2",
"startUrls": [],
"postUrls": [],
"topVoiceClassUrls": [],
"maxVoices": 100,
"maxPosts": 3,
"sortBy": "linkedin_rank",
"minReactions": 0,
"minComments": 0,
"onlyInfluencers": false,
"includeComments": true,
"maxComments": 10,
"includeVideoTranscript": false
} Run it from code or an AI agent
The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.
Python
from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
"mode": "topContent",
"topics": [
"artificial-intelligence"
],
"maxDepth": "2",
"startUrls": [],
"postUrls": [],
"topVoiceClassUrls": [],
"maxVoices": 100,
"maxPosts": 3,
"sortBy": "linkedin_rank",
"minReactions": 0,
"minComments": 0,
"onlyInfluencers": False,
"includeComments": True,
"maxComments": 10,
"includeVideoTranscript": False
}
run = client.actor("vexaloom-labs/linkedin-trending-posts-and-top-voices-feed").call(run_input=run_input)
if run is None:
raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item) pip install apify-client
JavaScript
import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
"mode": "topContent",
"topics": [
"artificial-intelligence"
],
"maxDepth": "2",
"startUrls": [],
"postUrls": [],
"topVoiceClassUrls": [],
"maxVoices": 100,
"maxPosts": 3,
"sortBy": "linkedin_rank",
"minReactions": 0,
"minComments": 0,
"onlyInfluencers": false,
"includeComments": true,
"maxComments": 10,
"includeVideoTranscript": false
};
const run = await client.actor("vexaloom-labs/linkedin-trending-posts-and-top-voices-feed").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items); npm install apify-client
cURL
curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~linkedin-trending-posts-and-top-voices-feed/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"mode":"topContent","topics":["artificial-intelligence"],"maxDepth":"2","startUrls":[],"postUrls":[],"topVoiceClassUrls":[],"maxVoices":100,"maxPosts":3,"sortBy":"linkedin_rank","minReactions":0,"minComments":0,"onlyInfluencers":false,"includeComments":true,"maxComments":10,"includeVideoTranscript":false}' Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).
MCP (AI agents)
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=vexaloom-labs/linkedin-trending-posts-and-top-voices-feed",
"headers": {
"Authorization": "Bearer <YOUR_APIFY_TOKEN>"
}
}
}
} Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.
What a run costs
The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.
| Apify plan | Per 1,000 | 10,000 results | 100,000 results |
|---|---|---|---|
| Free plan | $0.99 | $9.90 | $99 |
| Starter plan | $0.82 | $8.20 | $82 |
| Scale plan | $0.66 | $6.60 | $66 |
| Business plan | $0.49 | $4.90 | $49 |
- Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
- The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
- Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
- Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.
Where it fits among LinkedIn routes
It ranks 3 of 19 catalogue Actors for LinkedIn on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.
- 1 LinkedIn People Search by Name with Company & School Filters 6 output fields, pay per event 6 of 8 core fields
$0.99 / 1K - 2 LinkedIn Guest-View Profile Data Extractor 30 output fields, pay per event 6 of 8 core fields
$0.99 / 1K - 3 LinkedIn Trending Posts & Top Voices Feed Scraper 19 output fields, pay per event 7 of 8 core fields
$0.99 / 1K - 4 LinkedIn University Alumni Search by Degree & Year 9 output fields, pay per event 5 of 8 core fields
$0.99 / 1K - + 1 other Store tool, combined Reference only 4 of 8 core fields
from $29 / 1K - API LinkedIn APIs (partner programs) Partner only fields not compared
Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.
Official route: LinkedIn APIs (partner programs)
Partner only. LinkedIn does not offer an open public data API. Access is through approved partner programs with defined scopes, such as marketing and talent integrations.
Partner pricing is not published as a self-serve rate card.
Other Store tools for LinkedIn
Reference only, from their public listings.
| Tool | Fields | Price / 1K |
|---|---|---|
| LinkedIn Profile Posts Scraper (No Cookies) | – | $2.00 |
| LinkedIn Profile Scraper + Email (No Cookies) | – | $4.00 |
| LinkedIn Profile Search Scraper (No Cookies) Find all people | – | $4.00 |
| LinkedIn Profile Comments Scraper (No Cookies) | – | $2.00 |
| LinkedIn Profile Reactions Scraper (No Cookies) | – | $2.00 |
What people use it for
- Discover topic content
- Analyze engagement
- Collect professional profiles
Other catalogue Actors for LinkedIn
LinkedIn People Search by Name with Company & School Filters
Search LinkedIn for a list of names and get matching profiles with headline, location, current role and company, connection degree, and profile…
LinkedIn Guest-View Profile Data Extractor
Extract names, headlines, work history, education, certifications, honors, volunteer work, projects, and follower counts from public LinkedIn…
LinkedIn University Alumni Search by Degree & Year
Search a university's LinkedIn alumni by field of study, degree, graduation year, current employer, and location, and get each match's profile,…
B2B Lead Discovery by Job Title & Location
Find public LinkedIn profiles by job title, location, or company using cookieless web search. Returns names, best-effort titles and companies,…
LinkedIn Company Page Post & Engagement Extractor
Pull posts from any LinkedIn company page with captions, media, article links, hashtags, mentions, and reaction/comment/repost counts, filterable…
LinkedIn Profile Scraper with Company & Credential Data
Turn a list of public LinkedIn profile URLs into structured records with headline, work history, education, certifications, honors, volunteer…
Similar Actors
LinkedIn Profile Feed Scraper with Likers & Commenters
Pull posts from a LinkedIn profile's activity feed or a direct post URL, with engagement counts, hashtags, media, and optionally the people who…
LinkedIn Activity Feed Scraper with Engagement Filters
Pull posts, articles, and reposts from LinkedIn profile activity feeds, with reaction/comment/date filters and a per-reaction-type breakdown.…
LinkedIn Hashtag Feed Engagement Scraper
Pull posts published under one or more LinkedIn hashtags, with author name, headline, content, media type and reaction/comment/repost counts.…
LinkedIn Profile Engagement Timeline Scraper
Pull a LinkedIn profile's posts, reposts, comments, and reactions in one run, with the original post's author, text, and link attached to each…
Reddit Multi-Mode Scraper for Posts, Comments & Profiles
Pick one of five modes to pull subreddit posts, full comment threads, user profiles, keyword search results or curated community listings from…
Bluesky Posts, Profiles, Feeds & Threads Scraper
Search Bluesky posts by keyword, hashtag, author, mention, domain or URL; read profiles, threads, lists, starter packs, feeds and followers;…
Questions people ask
How much does LinkedIn Trending Posts & Top Voices Feed Scraper cost?
The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.
What data does LinkedIn Trending Posts & Top Voices Feed Scraper return?
Its published output schema lists 19 fields: authorName, authorFollowers, authorIsInfluencer, postedAt, headline, content, mediaType, reactionsCount, commentsCount, topicTitle, topicRank, postUrl, and 7 more. A listed field is not guaranteed to be filled in every row.
What input does LinkedIn Trending Posts & Top Voices Feed Scraper need?
No input is strictly required; the defaults run as is. Common settings: mode, topics, maxDepth, startUrls, postUrls, topVoiceClassUrls.
What are the alternatives to LinkedIn Trending Posts & Top Voices Feed Scraper for LinkedIn?
19 catalogue Actors cover LinkedIn. Close alternatives: LinkedIn People Search by Name with Company & School Filters; LinkedIn Guest-View Profile Data Extractor; LinkedIn University Alumni Search by Degree & Year. The LinkedIn page compares all of them field by field.
How do I run LinkedIn Trending Posts & Top Voices Feed Scraper from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("vexaloom-labs/linkedin-trending-posts-and-top-voices-feed").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("vexaloom-labs/linkedin-trending-posts-and-top-voices-feed").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/vexaloom-labs~linkedin-trending-posts-and-top-voices-feed/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- LinkedIn Trending Posts & Top Voices Feed Scraper on Apify Store
- Published build with input and output schema (JSON)
- LinkedIn APIs (partner programs) documentation
Cite this page
Scraper Finder. "LinkedIn Trending Posts & Top Voices Feed Scraper." https://scraperfinder.com/catalogue/linkedin-trending-posts-and-top-voices-feed/ (data checked 2026-11-12).
Run LinkedIn Trending Posts & Top Voices Feed Scraper
$0.99 per 1,000 results. Paste the example input above, set your LinkedIn query, then export the dataset. Still choosing? Compare every LinkedIn route.