LinkedIn Post Scraper

Learn how a LinkedIn Post Scraper helps extract posts, engagement metrics, and user insights. Discover its benefits, legal considerations, and FAQs.

Try MrScraper Now

What is LinkedIn Post Scraper?

A LinkedIn Post Scraper is a tool designed to extract posts and engagement data from LinkedIn. It automates the process of collecting post content, likes, comments, and shares, making it valuable for marketers, analysts, and researchers.

By using a LinkedIn scraper, users can analyze trending topics, measure audience engagement, and track competitors' content strategies without manually browsing LinkedIn.

What Data Can Be Scraped Using LinkedIn Post Scraper?

A LinkedIn Post Scraper can extract a variety of post-related data, including:

Post Content – Extract text, images, and links from public LinkedIn posts.
Post Author – Gather details about the user or company posting the content.
Engagement Metrics – Collect the number of likes, comments, and shares.
Post Date – Track when posts were published for trend analysis.
Hashtags & Mentions – Identify trending hashtags and tagged users.
Reactions & Comments – Analyze audience sentiment and discussions.
This data is useful for social media analytics, sentiment analysis, and competitive intelligence.

How It Works?

Getting started with LinkedIn Post Scraper on MrScraper is simple and user-friendly. Just follow these steps:

Create Your Account: Sign up or log in to your account on MrScraper. It’s quick, easy, and free to get started.
Initiate Scraping: Select “New ScrapeGPT” on the homepage and paste the LinkedIn Post URL of the page you wish to scrape.
Process the Page: Let ScrapeGPT process the selected page. The tool will analyze the page to identify and extract relevant data.
Enter a Prompt: Type in your prompt, such as “Get all the data”, and ScrapeGPT will handle the rest seamlessly.
Download Your Data: Once the scraping is complete, download the data in your preferred format—JSON or CSV—for easy analysis and integration into your workflow.

Input Url

LinkedIn Post Example

Sample Output

The data extracted can be provided in JSON formats, ensuring compatibility with your workflow. For example:

Sample Output (JSON)

{
    "trends": [
        {
            "number": 1,
            "title": "LinkedIn Becomes a Social Powerhouse",
            "description": "For years, LinkedIn was just a job board. But that world is long gone. LinkedIn’s engagement is growing 44% YoY, and it’s becoming the go-to platform for organic B2B growth.",
            "prediction": "Expect more employee-led content, more engagement, and more companies treating LinkedIn like Twitter circa 2013."
        },
        {
            "number": 2,
            "title": "Social-Led Search Revolution",
            "description": "Nearly 40% of Gen Z prefer using TikTok and Instagram over Google for information searches.",
            "prediction": "Brands will move away from SEO and optimise their content for social media platforms to capture this shift in search behaviour."
        },
        {
            "number": 3,
            "title": "The Scramble for Owned Media",
            "description": "Social platforms = rented land. HubSpot saw this coming years ago—so they bought The Hustle and built an entire podcast network. Now they own their audience.",
            "prediction": "Expect more B2B companies to grow email lists, start podcasts and act more like publishers building media empires."
        },
        {
            "number": 4,
            "title": "The Rise of B2B Influencers",
            "description": "B2B influencer marketing isn’t a gimmick - it’s an industry shift. 20% more B2B influencers emerged in 2024. Brands are paying £7,000+ per post on LinkedIn.",
            "prediction": "Expect more companies to turn their employees into influencers and B2B influencers become more mainstream."
        },
        {
            "number": 5,
            "title": "Niche Communities Take Centre Stage",
            "description": "Mass followings are losing their appeal. Brands want highly engaged, direct channels to niche communities.",
            "prediction": "More B2B companies will create exclusive groups to go direct to their most loyal audience members."
        },
        {
            "number": 6,
            "title": "Podcasts Enter the Mainstream",
            "description": "B2B brands are finally taking podcasting seriously. With podcast listening doubling since 2014, more companies are using audio to build trust, reach niche audiences, and stay top-of-mind.",
            "prediction": "Expect more B2B brands to launch podcasts or advertise on them as a core part of their content strategy."
        },
        {
            "number": 7,
            "title": "Entertainment-First Content",
            "description": "B2B marketing is shedding its traditional seriousness. To capture attention, brands are embracing entertaining content.",
            "prediction": "Expect more B2B brands to focus on entertaining videos instead of solely educating."
        }
    ],
    "comments": [
        {
            "user": "Emma Meheux",
            "comment": "I think these are some good thoughts but I don’t agree with your point about brands moving away from SEO."
        },
        {
            "user": "Luke Redhead",
            "comment": "You nearly panicked me when I read 'Pod Marketing' on number 6 🤣"
        },
        {
            "user": "Tareque Rahman",
            "comment": "Very helpful"
        },
        {
            "user": "Sidharthan Venkatramesh",
            "comment": "Get eyes on your company on social media, then move your audience to the email list."
        },
        {
            "user": "Abdullah Saleh",
            "comment": "Are we ready to embrace these shifts in marketing? The future looks vibrant."
        },
        {
            "user": "Angélique KING",
            "comment": "I'm so surprised by number 2..."
        },
        {
            "user": "Imelda Mumbua",
            "comment": "Exciting trends! Employee advocacy is key for growth."
        },
        {
            "user": "Morgan Ratcliffe",
            "comment": "Now that is exciting = almost like we should offer these as services"
        },
        {
            "user": "Adam Biddlecombe",
            "comment": "Feels like every brand is about to launch a podcast."
        },
        {
            "user": "Emanuel-Dominic Goetz",
            "comment": "These trends are fascinating and reflect a robust evolution in B2B marketing! 🚀"
        }
    ]
}

Is Scraping Linkedin Legal?

Scraping LinkedIn is subject to legal and ethical considerations. LinkedIn’s Terms of Service prohibit automated data extraction, and scraping without permission may lead to restrictions or legal consequences.

To stay compliant:

Review LinkedIn’s Terms of Service before scraping.
Use LinkedIn’s API where possible.
Scrape only publicly available posts and avoid personal data collection.
Follow privacy regulations like GDPR and CCPA when handling data.

If unsure, consider third-party data providers or LinkedIn’s official tools for ethical data access.

FAQ

1. Can I scrape LinkedIn posts without getting blocked?

LinkedIn has strict anti-scraping measures, so using proxies, rotating IPs, and headless browsers can help reduce detection. However, ensure you comply with ethical guidelines.