LinkedIn Post Reactions Scraper
Identify who's engaging with specific LinkedIn posts and comments. Extract reaction data with profile information including name, role, company, and contact details. Get a table of engaged users with their professional background; and filter through the table and generate additional columns with AI.
Skills
Get Post Reactions
Extract reactions from LinkedIn posts or comments to identify engaged audiences. Filter by reaction type (like, praise, empathy, appreciation, interest, entertainment) and choose between basic profile data or full professional background including experience, education, and skills.
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.
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.
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.
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.