LinkedIn Posts Search Scraper (No Cookies)

Apify actor that searches LinkedIn posts by keyword and extracts post content, author details, reaction counts and media attachments. No account or cookies required — don't risk your LinkedIn account by sharing session cookies.

Features

• No account needed — scrapes public search results without cookies or login
• Keyword-based post search
• Post content and media attachments (images, videos, articles, documents)
• Reaction, comment and repost counts
• Canonical post URLs for sharing
• Author details (name, headline, profile URL, picture)
• Sorting by relevance or date posted
• Date filters (past 24 hours / week / month)
• Filtering by company, author's company, author's industry and author's job title
• Automatic and manual pagination

Input

Field	Type	Description
keyword	string (required)	Keyword or phrase to search for.
sort_type	string	relevance (default) or date_posted.
date_filter	string	past-24h, past-week or past-month.
total_posts	integer	Total posts to collect (default 20). Pagination is automatic.
page_number	integer	Page to start from for manual pagination (default 1). Each page covers up to 50 posts.
company_urns	string	Comma-separated company URNs; only posts published by these companies, e.g. 1441,1035.
author_company_urns	string	Comma-separated company URNs; only posts by authors working at these companies, e.g. 1035,1045.
author_industry_urns	string	Comma-separated industry URNs; only posts by authors in these industries, e.g. 43,4.
author_job_title	string	Only posts by authors with this job title, e.g. software engineer.

Where to find URNs

Run a filtered search on LinkedIn and decode the URL. For example, in https://www.linkedin.com/search/results/content/?fromOrganization=%5B%221441%22%2C%221035%22%5D&keywords=coding the company URNs are 1441 (Google) and 1035 (Microsoft).

Example input

{
    "keyword": "artificial intelligence",
    "sort_type": "date_posted",
    "total_posts": 50,
    "author_industry_urns": "4",
    "author_job_title": "software engineer"
}

Output

One dataset item per post:

{
    "urn": "7301882444501135360",
    "full_urn": "urn:li:activity:7301882444501135360",
    "url": "https://www.linkedin.com/feed/update/urn:li:activity:7301882444501135360/",
    "text": "Excited to share our latest work on...",
    "posted_at": {
        "relative": "2w",
        "date": "2026-05-29T00:00:00.000Z",
        "timestamp": 1779062400000
    },
    "author": {
        "name": "Jane Doe",
        "headline": "Software Engineer at Example Corp",
        "profile_url": "https://www.linkedin.com/in/janedoe",
        "profile_picture": "https://media.licdn.com/dms/image/..."
    },
    "stats": {
        "total_reactions": 1234,
        "comments": 56,
        "reposts": 12
    },
    "media": {
        "type": "image",
        "url": null,
        "images": ["https://media.licdn.com/dms/image/..."]
    },
    "page_number": 1,
    "from_keyword": "artificial intelligence"
}

When the scraper cannot retrieve data for a given input it pushes an error item instead of silently skipping it, distinguishable by the error field (NO_RESULTS, NO_MORE_RESULTS, LOGIN_WALL, INVALID_INPUT).