This n8n workflow automates the process of enriching guest profiles with LinkedIn data, focusing on data retrieval, validation, and error management. It starts with a manual trigger for flexible operation scheduling. The workflow then fetches a list of guest profiles from NocoDB that have LinkedIn URLs but lack headlines, indicating incomplete data. It proceeds to scrape detailed profile information from LinkedIn through the Apify API by sending profile URLs for extraction. After initiating the scrape, it waits for completion and checks the status of the scraping operation.

If successful, it retrieves and transforms the profile data, mapping it to specific fields like full name, headline, email, bio, profile picture, current role, and skills. This data is then used to update the respective guest record in NocoDB. In case of errors, such as failed scraping or inaccessible profiles, the workflow clears invalid URLs and marks the record with error statuses, providing reasons for failure. Additional error handling nodes ensure robust operation, capturing issues like timeouts or profile not found errors.

This process can be used in scenarios where maintaining an up-to-date LinkedIn profile database is necessary for marketing, recruitment, or engagement campaigns, automating the tedious task of data collection and validation while gracefully managing errors.