LinkedIn Post Comments Scraper

Extract comments from LinkedIn posts to identify engaged audiences, potential customers, or candidates. Get a table with commenter details, comment text, engagement metrics, and timestamps; and filter through the table and generate additional columns with AI.

Skills

Get Post Comments

Retrieve comments from LinkedIn posts with filters for comment age and optional profile enrichment. Perfect for finding engaged users for interviews, identifying leads, discovering candidates, or analyzing audience sentiment. Each comment includes the commenter's name, position, LinkedIn profile, comment text, reactions, and timestamp.

Get comments from this AI product launch post to find potential interview candidates for customer validation.

Extract comments from our recent feature announcement to identify engaged users for beta testing.

Get comments from this investor's post about fintech trends to identify active founders in the space.

Scrape comments from this industry expert's post about B2B sales to find qualified prospects.

Get comments from this CTO's post about engineering culture to identify passive candidates.

View Table

View specific rows and columns from any table, ask questions about it, and analyse it with AI. If the agent performs searches, explain which rows are good and bad to improve the search.

What types of professionals are commenting?

Which comments have the most engagement?

What questions are people asking?

Which companies do these commenters work for?

What's the sentiment of the comments?

Filter Table

Filter any table with traditional filtering (i.e. patterns like names, URLs, etc). Explain what table you want to filter, and what rows you want to keep or remove.

Keep only comments with high engagement (multiple reactions).

Remove generic comments like 'great post', keep only substantive ones.

Keep only commenters from specific companies or industries.

Remove students, keep only working professionals.

Keep only comments that include questions or requests.

Filter Table with AI

Filter any table with AI filtering (i.e. reasoning, semantic understanding, etc). Explain what table you want to filter, and what rows you want to keep or remove.

Keep only comments that express genuine interest in the product or ask product-specific questions.

Keep only commenters who appear to be potential customers based on their role and company.

Keep only comments from senior professionals (directors, VPs, C-suite) in relevant industries.

Keep only comments that suggest pain points or challenges the commenter is facing.

Keep only commenters who appear to be actively hiring or looking for solutions in this space.

Generate Table

Generate a new table from any table with AI. Explain what table you want to generate from, what columns you want to keep, and what new columns you want to generate.

Classify each comment's intent (question, feedback, interest, support), extract key pain points mentioned, and generate a personalized interview invitation.

Score each commenter's fit as a beta tester (1-10), identify their likely use case, and create a personalized outreach message.

Identify investment focus areas from their comment, assess founder credibility from their profile, and generate an intro message.

Extract the specific challenge or interest mentioned, score lead quality (1-10), and create a personalized sales pitch.

Identify their technical expertise from comment and profile, assess culture fit signals, and generate a recruiter outreach message.