Search LinkedIn Posts
Find highly relevant LinkedIn posts using powerful search and filtering. Go beyond basic keywords by using advanced operators (AND, OR, NOT), and refine your search with filters for when the post was made, who the author is, or what company they work for. You can create highly targeted datasets of posts, and optionally include reactions and comments for deeper analysis.
Examples
Find posts from people who recently left big tech companies like Google or Meta and are talking about building a new startup. I want to see what problems they are trying to solve and validate my own ideas.
I need to find potential B2B customers. Find me recent posts where people are asking for 'SaaS marketing tool recommendations'.
Help me with deal sourcing. Find posts from founders of AI startups that mention 'seed funding' or 'fundraising' to identify new investment opportunities.
Find me recent posts from employees at Google and Microsoft talking about 'cloud migration challenges'. I need to understand their pain points for a client's lead generation campaign.
I'm looking for software engineers who might be open to new roles. Find recent posts that mention 'open to work' or 'looking for a new role' along with terms like 'software engineer' or 'developer'.
Find potential clients for my data entry services. Search for posts that mention 'hiring a freelancer' for 'data entry' or 'web research'.
For a client in the renewable energy sector, compile a list of recent posts discussing 'solar panel efficiency' and scrape the comments to identify key opinion leaders in the field.
Filter Table
Filter the LinkedIn Post Search table using AI to analyse qualitative information. Go beyond simple keyword matching and filter posts based on inferred sentiment, intent, and context within the post's content. For example, you can filter for posts that express a specific need, ask a question, or have a negative sentiment, even if these terms are not explicitly stated.
Examples
From these posts about building a startup, show me only the ones where the founder is sharing a lesson learned from a failure or challenge.
Filter the posts about 'SaaS marketing tool recommendations' to only show me the ones where the author is a decision-maker based on their job title.
From these fundraising posts, filter for founders who appear to be at the pre-seed stage and are building a B2B SaaS company.
Filter for posts about 'cloud migration' that express a negative sentiment or frustration with the process.
From this list of job-seeking posts, show me only the software engineers who have experience with distributed systems and have worked at a startup before.
Filter these posts hiring freelancers to identify which ones are for short-term projects (less than one month).
From the comments on the 'solar panel efficiency' posts, filter for the ones that are asking technical questions, not just leaving simple comments.
Generate Table
Generate a new table from the LinkedIn Post Search results. Use AI to create new columns with insights like personalised outreach messages, summaries of key points, or analysis of the author's intent. This allows you to enrich the raw data with valuable information tailored to your specific needs, such as identifying sales leads or summarising market sentiment.
Examples
Generate a summary of the problem and solution for each founder's post.
From the posts asking for SaaS tool recommendations, create a new column summarizing the specific requirements mentioned by the author.
Create a personalized outreach message for each fundraising post, congratulating the founder and suggesting a meeting.
Summarise the main challenge from each 'cloud migration' post into a single sentence.
Based on their posts, create a summary of the top 3 skills for each software engineer who is open to work.
Extract the required skills from each post hiring a freelancer and list them in a new column.
Categorise the content of posts discussing 'solar panel efficiency' as 'technical analysis', 'product promotion', or 'general news'.
