Automated LinkedIn Company Data Extraction Workflow

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This n8n workflow automates the process of extracting detailed company information from LinkedIn pages, streamlining data collection for market research, lead qualification, and CRM enrichment. The process begins with a form trigger where users submit a company’s LinkedIn URL and their Airtop profile connection. An external workflow trigger allows integration with other workflows for seamless automation.

The key nodes include a ‘Set’ node to unify input parameters, ensuring correct data mapping, and an ‘Airtop’ node that performs a sophisticated data extraction from the LinkedIn page. The extraction prompt directs the Airtop service to gather comprehensive details such as the company’s identity, scale, classification (including automation and AI focus), and funding profile, all formatted as a structured JSON.

The output is then mapped and standardized for easy integration into other systems or reports. Practical use cases include enriching CRM data, assessing potential clients or partners, or conducting competitive analysis. This workflow is ideal for teams seeking to automate LinkedIn data collection to improve decision-making speed and accuracy.

Node Count

6 – 10 Nodes

Nodes Used

airtop, executeWorkflowTrigger, formTrigger, set, stickyNote

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