LinkedIn Node
Integrate LinkedIn with Stack AI to enhance your knowledge base. Simplify content management and automate workflows for better organization and productivity.
A LinkedIn node is a knowledge base that lets you store data scraped from LinkedIn profiles or company pages. This data can be reused across multiple flows to enrich prompts or automate tasks involving professional information. All created knowledge bases are automatically synced to the Knowledge Base Dashboard.
Note: This node is useful for workflows that rely on public LinkedIn data, such as lead generation, recruiting, or competitive research.
LinkedIn Node Settings
Scraper Parameters
- Number of Results: Choose how many LinkedIn profiles or company pages to fetch per query.
- Search Country: Limit results to a specific country.
If you click the gear icon in the node, you will see the available settings.
Chunking Settings
- Chunking Algorithm: Defines how the data is split (e.g., Sentence-based).
- Chunk Overlap: The number of overlapping tokens between chunks.
- Chunk Length: Max length of each chunk sent to the LLM.
Additional Features
- Advanced Data Extraction: Enable more precise field-level parsing (toggle option).
- Text in Images (OCR): Extract and include text from profile images or banners (toggle option).
How to use it?
To utilize the LinkedIn node, establish connections to both its input and output edges:
- Input: This node necessitates a text input. Typically, you would connect the input to an LLM or Input node.
- Output: This node outputs chunks of information. Typically, you would connect the output to an LLM or Output node.