Business Contact Enrichment — Instantly Get Name, Title, Email, Phone & LinkedIn Profile
Extract LinkedIn posts from search results, profiles, company pages, or specific post URLs. Use LinkedIn’s built-in search filters to define keywords, date ranges, industries, companies, and other criteria. Then paste the search URL into CoreClaw to collect post content, author information, timestamps, media, and engagement data in a structured format. These results can be used for market research, lead generation, competitor monitoring, content analysis, recruiting, and social listening.
A LinkedIn Post Search Scraper helps you collect publicly accessible LinkedIn post data and convert it into structured records.
Instead of manually scrolling through search results or copying posts one by one from profiles, you can directly provide a LinkedIn search URL, profile URL, company URL, or specific post URL.
CoreClaw can then collect the following available fields:
LinkedIn post search already supports a variety of useful filters.
You can configure your search directly on LinkedIn and then provide the generated URL to CoreClaw.
Depending on the filters currently available in LinkedIn’s search interface, these may include:
This means you do not need to manually recreate every LinkedIn search parameter inside the Worker.
Set up the search you want, copy the generated URL, and let CoreClaw process the matching posts.
Search for posts containing buying signals, pain points, product discussions, or industry-specific keywords to identify potential prospects.
Monitor discussions about industries, technologies, products, companies, and emerging market topics.
Collect public posts from competitors and compare their messaging, publishing activity, media formats, and engagement performance.
Analyze high-engagement posts to understand which topics, formats, and messaging resonate most with professional audiences.
Track keywords, brand mentions, products, industries, and related public discussions on LinkedIn.
Search for posts related to industries or job roles to identify professionals discussing career changes, expertise, events, or relevant topics.
Monitor posts from founders, executives, and industry experts to understand what they are building, discussing, or prioritizing.
Within permitted use cases, collect structured datasets of public LinkedIn posts for research into professional communication, content trends, and online behavior.
| 📝 Post Text | 🔗 Post URL |
| 🆔 Post URN | 🕒 Published Time |
| 📅 Published Timestamp | 🔁 Repost Status |
| 👤 Author Name | 🏷️ Author Type |
| 💼 Author Headline | 🔗 Author Profile URL |
| 🆔 Author Profile ID | 🖼️ Author Avatar |
| 🖼️ Post Images | 🎬 Post Type |
| 👍 Reaction Count | 💬 Comment Count |
| 🔗 External Links | 📊 Public Post Metadata |
Available fields depend on the post type and the information LinkedIn makes publicly available for the selected content.
The LinkedIn Post Search Scraper is designed to reduce the manual work required to collect posts.
Looking at post content alone does not always show which topics perform best.
Available engagement data can help you compare:
This data can be used for content research and competitor benchmarking.
For example, you can compare posts around the same topic and identify which messaging receives more public engagement.
Provide a competitor’s company page or search for the competitor’s brand name to create a structured dataset of its public posts.
You can analyze:
Repeated runs can support ongoing competitor and market monitoring.
Build your search directly on LinkedIn and provide the generated URL without manually recreating every filter.
Use search results for discovery, or provide profile and company URLs directly when you already know which authors matter most.
Collect post content together with available author names, headlines, profile URLs, timestamps, media, and engagement data.
Export LinkedIn posts to CSV, JSON, databases, and analytics workflows without manually copying content.
Run the entire workflow through CoreClaw while retaining API access for repeatable automation.
A LinkedIn Post Search Scraper collects LinkedIn posts from search results and converts available post information into structured data.
It can be used for market research, lead generation, competitor analysis, content research, recruiting, and social listening.
Yes. Search for a keyword on LinkedIn, switch to “Posts,” apply the filters you need, and then provide the generated search URL to the Worker.
Yes. The referenced workflow is designed to reuse the filters already included in the LinkedIn search URL, including date range, company, industry, keywords, and other filters provided by LinkedIn.
Yes. You can provide a LinkedIn member profile URL to collect available posts from that profile.
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