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URL: https://apify.com/lexis-solutions/linkedin-top-content-scraper

โ‡ฑ Linkedin Top Content Scraper ยท Apify


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from $1.60 / 1,000 posts

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Linkedin Top Content Scraper

LinkedIn Top Content scraper (US, social media marketing): extract trending LinkedIn topic posts, authors, engagement and links for content research, competitor analysis, lead generation and analytics dashboards.

Pricing

from $1.60 / 1,000 posts

Rating

5.0

(1)

Developer

๐Ÿ‘ Lexis Solutions

Lexis Solutions

Maintained by Community

Actor stats

1

Bookmarked

114

Total users

36

Monthly active users

3 months ago

Last modified

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Linkedin Top Content (linkedin.com/top-content) is a curated feed of high-performing posts by topic. This actor collects structured post data from Linkedin Top Content pages.

Introduction

The Linkedin Top Content scraper helps you collect popular public posts from Linkedin topic pages in a structured format, so you can easily review what people are talking about and which content gets attention.

Use Cases

  • Content research: Track top-performing posts by topic and monitor trends.
  • Competitive analysis: Compare messaging, post formats, and engagement across creators.
  • Lead discovery: Identify active creators and niche experts in specific industries.
  • Analytics pipelines: Feed BI dashboards and internal reporting with structured social data.

Input

Provide the following fields:

  • startUrls (array, optional): Linkedin /top-content/ or topic URLs.
  • maxItems (integer, optional): Maximum number of posts to extract per original URL.
  • proxyConfiguration (object, optional): Apify proxy settings.

Notes:

  • If startUrls is empty, the actor starts from https://www.linkedin.com/top-content/.
  • Crawling stops per original URL when maxItems is reached.
  • If maxItems is not provided, the actor continues until all discovered items are processed.

Input Examples

1) Start URLs

{
"startUrls":[
{
"url":"https://www.linkedin.com/top-content/"
},
{
"url":"https://www.linkedin.com/top-content/fundraising/"
}
],
"maxItems":20,
"proxyConfiguration":{
"useApifyProxy":true
}
}

Output

Each dataset item contains fields like:

{
"title":"Fundraising",
"type":"topic_category",
"category":"Top Content",
"activityUrn":"urn:li:activity:7363626937350610944",
"author":"Alison Taylor",
"authorUrl":"https://www.linkedin.com/in/followalisont?trk=keyword-landing-page_feed-actor-name",
"authorTitle":"Clinical Professor, NYU Stern School of Business...",
"followers":"66,730 followers",
"postTime":"6mo",
"content":"Once upon a time, stakeholder engagement was about...",
"image":"https://media.licdn.com/dms/image/...",
"reactions":"143",
"comments":"12 Comments",
"postUrl":"https://www.linkedin.com/feed/update/activity:7363626937350610944",
"sourceUrl":"https://www.linkedin.com/top-content/fundraising/",
"scrapedAt":"2026-03-06T06:48:20.199Z"
}

The scraper processes discovered topic feeds and stops when maxItems is reached per original URL or when no more posts are found.

Why use the Linkedin Top Content Scraper?

  • Topic-aware: Built for Linkedin Top Content homepage and topic flows.
  • Structured output: Ready-to-use JSON records for automation and analysis.
  • Per-URL limits: maxItems is enforced per original URL.
  • Flexible input: Supports both homepage and specific topic URLs.
  • Apify-native: Works with Apify datasets, request queue, and proxy config.

FAQ

  • How many posts can it extract?
    Controlled by maxItems per original URL. If empty, it will scrape all discovered items.

  • Do I need proxies?
    Proxies are recommended for reliability, especially for larger runs.

  • Can I start from any Linkedin URL?
    No. This actor supports Linkedin top-content homepage/topic URLs.

  • What if Linkedin changes page structure?
    The actor may require updates to keep extraction stable.

Need to scrape other platforms?

Check out our other scrapers:


Need help or want a custom solution?

Lexis Solutions is a certified Apify Partner. We can help with custom data extraction projects.

Contact us over Email or LinkedIn.

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Image Credit

Image credit: linkedin.com

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