This guide demonstrates unauthenticated lookups. For authenticated access take a look at our Guide: Scrape behind login walls.
Overview
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
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.
Python
3
Analyze Twitter Highlighted Posts
Extract topics and themes from someone’s Twitter profile.
Python
Use Cases
- Sales Intelligence: Research prospects before outreach calls
- Competitive Analysis: Track competitor executives’ public statements
- Partnership Research: Understand potential partners’ current focus areas
- Media Monitoring: Stay updated on key industry leaders’ perspectives
- Lead Qualification: Assess prospect engagement and interests
- Content Strategy: Identify trending topics among target audiences
Smooth adapts and finds alternative ways to access the information even when social media platforms update their layouts.
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