1.Actor run finished
Integrate Apify, web scraping tools, and dataset processing to trigger candidate review workflows from public post scrape results
Add ranked public profiles to your sourcing review sheet
Automatically monitor Apify actor run finished for a public posts scrape across Apify and AI by Zapier. Create and update when scrape run finishes, new posts are scraped, or dataset updates complete—so you can enrich profiles, generate ranks, and append review rows without manual review.
How this automation accelerates candidate sourcing
When a public posts scrape run finishes, sourcing teams risk missing high-fit candidates. This automation loops new posts, enriches profiles, and ranks leads into Google Sheets—so your team can review faster.
Apifyor swap with your favorite app
2.Loops through dataset items
Integrate Looping by Zapier and data mapping tools to iterate each scraped post and prepare candidate fields
Looping mit Zapieror swap with your favorite app
3.Runs profile enrich actor
Integrate Apify and enrichment services to request public profile details and return enriched profile data
4.Gets ranking and justification
Integrate AI by Zapier and prompt-based ranking tools to generate a numeric rank and sourcing justification
KI von Zapieror swap with your favorite app
5.Creates spreadsheet row
Integrate Google Sheets and spreadsheet records to append prioritized candidate data for recruiter review
Google Sheetsor swap with your favorite app
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Schritt 1
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Schritt 2
Define the trigger
Choose the events that should start your workflow, like a new submission, updated record, completed task, or customer action.
Schritt 3
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Let your workflow handle follow-ups, updates, notifications, and reporting so your team can track progress and act faster.
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