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    Make • Marketing Automation • Digital Marketing Automation • Automation Tools
    ~2 hrs per run saved

    A Reusable Backfill Job for Keeping Airtable's Candidate Pool Complete

    An on-demand Make.com scenario that reconciles Airtable's candidate database against Workable in one pass, catching anything a live sync might have missed.
    #Makeautomation#Make.comscenario#Workableautomation#Airtableautomation#recruitmentautomation#datareconciliationautomation
    A Reusable Backfill Job for Keeping Airtable's Candidate Pool Complete - Make Case Study
    0
    hrs per run
    Hours saved
    The goal

    Built a one-click reconciliation job that catches anything the live sync missed.

    Manual work cut

    Manually cross-checking Airtable against Workable and re-entering candidates that had slipped through the sync

    Hours saved

    ~2 hrs per run

    The Challenge

    Whenever the live Workable-to-Airtable sync missed a candidate, someone had to cross-check both systems by hand and re-enter whatever slipped through. It was a tedious reconciliation job that nobody really owned.

    The Solution

    The n8n version was built around manual pagination. Make's native handling removes that complexity entirely. A Custom Webhook module lets the scenario run on demand or get called from another scenario, an HTTP module fetches every Workable candidate created in the last 14 days with Make's built-in pagination walking through the full result set automatically, and an Airtable module upserts each candidate into the Candidates table, matched on Candidate ID so a re-run never creates duplicates.

    How It Works

    The Results

    Running this scenario reconciles Airtable against Workable in one pass, catching anything the live sync missed. Make's pagination handles however many pages come back, so there's no manually-coded loop tracking page tokens.

    Tools & Technologies Used

    Make
    Workable
    Airtable

    How To Create This

    1. Trigger the scenario on a Custom Webhook module so it can run on demand or be called from another scenario
    2. Use an HTTP module to fetch every Workable candidate created in the last 14 days, relying on Make's built-in pagination
    3. Add an Iterator module to process one candidate at a time
    4. Upsert each candidate into Airtable's Candidates table, matched on Candidate ID to avoid duplicates on re-run

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