Automated LinkedIn Profile Collection with n8n

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This n8n workflow automates the process of searching for LinkedIn profiles based on specific keywords and locations using SerpAPI on Google Search. It extracts relevant data such as profile names, URLs, followers, and snippets. The workflow then refines this data by transforming follower counts into numbers and attempting to identify the associated company name with the help of OpenAI’s GPT-4 model. The final data is consolidated into an Excel file for easy download and also stored in a NocoDB database for further utilization.

**Workflow Steps:**

1. Manual trigger initiates the workflow.

2. Sets search parameters like keyword, location, and number of search results.

3. Performs a Google search through SerpAPI with these parameters.

4. Splits the search results to process each organic result individually.

5. Uses OpenAI to extract and transform data points such as followers and company names.

6. Merges and formats the refined data.

7. Stores the data in an Excel file for download.

8. Optionally, saves the data into a NocoDB database for ongoing access.

This workflow is particularly useful for market research, recruitment, lead generation, or competition analysis by automatically gathering LinkedIn profile information based on targeted search criteria. It leverages API integrations and AI to streamline data collection and processing, making it accessible for users without extensive technical knowledge.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.openAi, convertToFile, httpRequest, manualTrigger, merge, nocoDb, set, splitOut, stickyNote

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