linkedin-contact-discovery-agent

To map LinkedIn contacts, you design BFS or DFS traversal strategies starting from trusted profile URLs or company search seeds. This approach balances network coverage against time constraints by tuning depth and breadth parameters.

Finding warm introductions uses DFS traversal to map deep paths from seed profiles toward target contacts. This strategy prioritizes relationship chains over broad coverage, making it ideal for locating mutual connections.

Avoiding duplicate profiles during contact discovery requires built-in deduplication logic that tracks processed URLs. This ensures unique profiles are collected while paginating through LinkedIn search results reliably.

Preventing rate limit issues involves rate-conscious session planning that controls traversal speed and volume. Configuring maxDepth and maxContacts limits the total request footprint during the network mapping process.

Use BFS for company-wide contact mapping where broad coverage across colleagues is needed, and use DFS for tracing warm introduction paths. The decision framework matches traversal mode to your specific lead generation goal.

You can configure maximum depth and contact limits using maxDepth and maxContacts parameters. These controls balance the reach of your contact discovery session with time constraints to ensure efficient execution.