Extract LinkedIn posts, comments, and reactions by keyword, author, or company without using your own account.
Queries to search LinkedIn posts. The same query as you would use in the LinkedIn search bar.
Maximum number of posts to scrape per each search query. If you set this to 0, it will scrape all posts.
Fetch posts no older than X time. Options: '1h', '24h', 'week', 'month'.
Scrape posts up to and including this date. Format: YYYY-MM-DD.
Sort by 'relevance' or 'date'.
List of LinkedIn profile or company URLs to scrape. Example: ` will fetch posted or re-posted content by Bill Gates.
Scrape posts of profile-authors who assigned to LinkedIn Company Names of these companies. Example: `Google` will fetch posts of Google employees or ex-employees in some cases.
List of LinkedIn profile URLs of members mentioned in posts. Example: ` will fetch posts mentioning Bill Gates.
Results to deliver
200 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
Lagic Proxy
Pricing
Scrape LinkedIn posts based on keywords, authors, or companies. Collect post text, engagement data like comments and reactions, and detailed author profile information for market research or lead generation.
This tool extracts data from LinkedIn posts based on highly specific search criteria, operating without requiring you to connect your personal LinkedIn account. This is ideal for gathering business intelligence, monitoring brand mentions, or generating leads at scale without risking your own profile. ### Targeted Post Discovery You can pinpoint posts with precision. Go beyond simple keyword searches and filter by when the content was posted (from the last hour to the last year), the type of content (videos, images, documents), or the language. You can also sort results by relevance or the most recent date to get the exact data you need. ### Focus on People and Companies The real analytical depth comes from targeting specific entities. You can extract all posts from a list of specific people or company pages. More uniquely, you can find posts written by employees of certain companies (e.g., all posts from Google employees), or find any post that *mentions* a specific person or company. This is invaluable for competitive intelligence and brand monitoring. ### Deep Engagement and Author Data Beyond the post content itself, you can collect the comments and reactions associated with each post. For every person who posts or engages, you have the option to extract their profile information. Choose the "short" mode for basic details like name and headline, or the "main" mode for a comprehensive data set including their full work experience, education, skills, and more.
Enter one or more search terms into the 'Search queries' field, just as you would on LinkedIn.
Apply filters to narrow your search, such as the post date range, content type, or author's company.
Enable the 'Scrape Reactions' and 'Scrape Comments' options if you need engagement data, and set limits for each.
Choose the level of detail for author profiles using the 'Profile Scraper Mode' ('short' for basic info, 'main' for full details).
Run the tool and wait for the extraction to complete.
Download the collected data as a CSV, Excel, or JSON file.