This guide shows how to use Smooth to enrich people profiles with real-time social media data. You’ll learn to extract public data from LinkedIn and Twitter, perfect for sales research, lead qualification, and competitive intelligence.
1
Find Latest LinkedIn Article
Extract the title and details of someone’s most recent LinkedIn article or post.
Python
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Ask AI
linkedin_enrichment_task = """Go to Bill Gates' LinkedIn profile and find his latest article.Extract:- Title of the latest article/post- Publication date- Brief summary of the content (2-3 sentences)- Number of likes/reactions if visible"""
2
Execute LinkedIn Lookup
Run the enrichment task to get the latest LinkedIn article.
The agent will navigate to the LinkedIn profile, identify the most recent article, and extract the relevant details.
3
Analyze Twitter Highlighted Posts
Extract topics and themes from someone’s Twitter profile.
Python
Copy
Ask AI
twitter_enrichment_task = """Go to Bill Gates' Twitter profile and analyze the visible posts.Identify the top 3-5 themes or topics he frequently discusses.Return the top themes and topics he frequently discusses."""task = smooth_client.run( task=twitter_enrichment_task, enable_recording=True)result = task.result()print(f"Agent response: {result.output}")