This is a submission for the Bright Data AI Web Access Hackathon
What I Built
What I Built
I built LinkLens — an AI-powered LinkedIn digest generator.
It solves the problem of LinkedIn’s overwhelming and noisy feed by transforming any LinkedIn profile, company page, or newsletter into a clear daily HTML email newsletter.
Instead of scrolling endlessly or missing key updates, users simply paste a LinkedIn URL and receive an AI-summarized digest in their inbox. It highlights profiles, roles, skills, and activity in a professional, skimmable format.
This makes it especially useful for busy professionals, recruiters, and companies who want LinkedIn insights without distractions.
Demo
https://github.com/Slim-junior/brightdata-n8n-linkedin-agent
How I Used Bright Data's Infrastructure
Bright Data powered the backbone of my solution by enabling real-time web data access to LinkedIn content.
I used Bright Data’s Web Unlocker to retrieve LinkedIn profile and page data reliably, bypassing the typical login and scraping barriers.
Bright Data’s Proxy Network allowed me to scale — fetching multiple profiles simultaneously without being blocked.
With clean, structured data, my AI summarization agent could focus on extracting titles, roles, and highlights to build the daily digest.
This ensured my system wasn’t just a static tool — it became a scalable, production-ready solution.
Performance Improvements
Compared to traditional approaches that rely on:
Manual LinkedIn scrolling (time-consuming, inconsistent), or
Static datasets (quickly outdated),
my AI system with Bright Data achieved:
100% fresher data: summaries are based on the latest LinkedIn activity.
Higher reliability: no broken scrapers, no blocked IPs.
Faster turnaround: multiple profiles can be summarized in seconds.
Better accuracy: AI highlights only the most relevant details.
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