Gather LinkedIn Post Data for Market Insights & Content Strategy
Keywords to search for in LinkedIn posts (e.g. 'AI', 'startup funding', 'remote work'). Each keyword will trigger a separate search.
Direct LinkedIn post URLs to scrape. Supports both /posts/ and /feed/update/ formats.
LinkedIn profile or company URLs to get posts from. Will search for posts by these authors.
Filter posts by date
Maximum number of posts to return per keyword or profile
Enable to fetch complete post details from LinkedIn (slower but more data). Disable for faster basic scraping.
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
Extract LinkedIn post details like text, author, engagement metrics, hashtags, and images by keywords, specific post URLs, or from company and profile pages. Essential for content analysis and trend monitoring.
### Understand LinkedIn Conversations and Trends This tool allows you to collect detailed information from LinkedIn posts, providing a structured dataset for analysis. Whether you're tracking industry trends, monitoring competitor activity, or researching content performance, this scraper delivers the raw data you need. #### What You Can Extract You can pull posts based on several criteria: * **Search Keywords:** Input specific terms (e.g., 'AI in marketing', 'sustainable finance') to find relevant posts across LinkedIn. Each keyword triggers a separate search, letting you cast a wide net for industry discussions. * **Direct Post URLs:** If you have specific LinkedIn posts you want to analyze, simply provide their URLs. This is useful for deep-diving into high-performing content or competitor announcements. * **Profile or Company Pages:** Monitor the content output of specific individuals or organizations by providing their LinkedIn profile or company page URLs. This helps in tracking thought leaders or competitive intelligence. #### Data You Receive The output includes comprehensive details for each post: * **Engagement Metrics:** See the number of likes, comments, and shares each post receives, giving you a clear picture of its reach and resonance. * **Content Details:** Get the full post text, any associated images, and a list of mentions and hashtags used. This is crucial for content analysis and identifying popular topics. * **Author Information:** Identify who posted the content, including their name, profile ID, and a link to their profile, along with their profile image. This helps in understanding influencer activity. * **Post Metadata:** Each entry includes the unique post ID, the date and time it was posted, the date it was scraped, and whether it was a repost or sponsored content. This context is vital for deeper analysis. #### Control Your Data Collection You have control over the scraping process. You can filter posts by date (past 24 hours, past week, past month) to focus on recent activity. Additionally, you can set a limit on the number of posts collected per query, ensuring you manage data volume. For more in-depth data, enable the 'Fetch full details' option, though this will take longer. If you need a faster overview, disable it for basic post information.
Provide search keywords to find posts about specific topics, or paste direct URLs of individual LinkedIn posts.
Alternatively, input LinkedIn profile or company page URLs to collect posts published by those authors.
Optionally, select a date filter (past 24 hours, past week, or past month) to narrow down the results to recent activity.
Set a maximum number of posts to retrieve per input query to manage data volume.
Choose whether to fetch full post details, including mentions and images, or opt for a faster, basic extraction.
Run the tool, and once complete, download your structured LinkedIn post data.