1.Monitor scraper task run finished
Integrate Apify, dataset files, and extraction outputs to start the workflow when the scraper task finishes.
Add web-scraped lead records to prospect tracker sheet
Automatically monitor scraper task runs across Apify and Google Drive. Create and update when datasets export, rows parse, or contacts deduplicateβso you can import lead records, create prospect entries, and populate SDR-ready rows without manual prospect importing.
How this automation imports leads into your tracker
When scraper tasks finish, delayed uploads and manual imports can slow SDR outreach. This automation moves the dataset from Apify into your workflow, then reads rows, creates or finds prospect records, and adds normalized lead entries to your trackerβso your team can act faster.
Apifyor swap with your favorite app
2.Uploads dataset file
Integrate Google Drive, file storage, and upload handling to upload the dataset and generate a stable file ID.
Google Driveor swap with your favorite app
3.Reads rows from worksheet
Integrate Google Sheets, spreadsheet parsing, and row extraction to find the worksheet and produce source records.
Google Sheetsor swap with your favorite app
4.Finds or creates prospect record
Integrate Zapier Tables and domain lookup tools to find or create prospect records from each parsed row.
Zapier Tablesor swap with your favorite app
5.Adds normalized lead rows
Integrate Google Sheets, lead tracking columns, and deduped fields to add SDR-ready rows to your prospect tracker.
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Choose the events that should start your workflow, like a new submission, updated record, completed task, or customer action.
Step 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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