Subworkflow fetch jobs or get from disk

★ 7.7 · n8n · complex · 18 nodes

Subworkflow fetch jobs or get from disk is an n8n automation template that retrieves job listings via an external scraper or loads previously saved data from disk, eliminating redundant API calls. Reach for it when you want to automatically collect LinkedIn job postings without manual browsing, when you need to reuse already-fetched data instead of re-scraping, or when this subworkflow slots into a larger pipeline for filtering and scoring positions. Trigger: webhook. Integrations: Apify, Phantombuster — used to launch scrapers and retrieve results; the source-selection logic (network vs. disk) helps preserve API quotas. This template is part of a family of seven linked n8n workflows covering LinkedIn job automation: search, relevance scoring, saving matched positions, and error handling. Direction — collecting and caching job listings, not distributing them to candidates or posting openings. Suits job seekers and recruiters building an automated screening pipeline; requires active Apify or Phantombuster accounts. Use scraping only on platforms where it is permitted under their terms of service.