{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c0c538e6b00548cf9689b22c512fe90f\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c0c538e6b00548cf9689b22c512fe90f-f739b230c0bed2a9.gif","duration":205.824,"title":"Ingrid Builds Airtable Job Import Workflow","description":"This Loom explains Ingrid’s Airtable recruitment pipeline and workflow for importing live remote job listings with deduplication and error handling. She describes five tables: clients, job openings, candidates, applications, and placement, along with an “open” field that controls counts of open positions by client and open titles. In the workflow, an error node captures invalid API responses, and a dedicated HTTP search keyword vector node is used because the API response does not match the original search keyword. She demonstrates that running the workflow with the keyword writer adds matching jobs after checking fields like job title, category, tags, and description, and that it also populates the client based on the remote import."}