1.Detects task run completion
Integrate Apify and dataset tools to pull finished dataset file URLs and extract source records.
Create prospect rows from completed scrape runs into lead sheet
Automatically monitor Apify task runs for finished datasets across Apify and Google Sheets. Create and update prospect rows when scrape run finishes, dataset becomes available, or tasks completeβso you can upload files, de duplicate contacts, and update lead records without manual spreadsheet work.
How this automation creates prospect rows
When a scrape run finishes, delays can stall outreach and leave leads untracked. This automation pulls dataset files and uploads them to Drive, then upserts lead records and updates your sheetβso your team can move fast on fresh prospects.
Apifyor swap with your favorite app
2.Uploads dataset to Drive folder
Integrate Google Drive and file handling tools to upload the dataset file to a configured folder.
Google Driveor swap with your favorite app
3.Reads new rows from Sheets
Integrate Google Sheets and spreadsheet tools to find the target worksheet and map new rows to contacts.
Google Sheetsor swap with your favorite app
4.Upserts lead records and updates sheet
Integrate Zapier Tables and table records tools to match by email or company, then update the lead sheet.
Zapier Tablesor swap with your favorite app
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Step 1
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Step 2
Define the trigger
Choose the events that should start your workflow, like a new submission, updated record, completed task, or customer action.
Step 3
Automate and measure
Let your workflow handle follow-ups, updates, notifications, and reporting so your team can track progress and act faster.
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