1.Detect finished task run
Integrate Apify and scraping task runners to detect completed dataset runs and extract candidate posts for routing.
Create leads from scraped social posts for local teams
Automatically monitor scraped social posts across Apify. Create and update when keyword-filtered requests appear or duplicates are excluded—so you can iterate candidates, create lead records, and notify owners without manual lead entry.
How this automation creates qualified leads faster
When scraped social posts finish processing, unqualified items can slip through and lead capacity gets wasted. This automation iterates dataset items, filters for keyword-matched requests, checks duplicates, and creates and routes lead records—so your team can follow up quickly.
Apifyor swap with your favorite app
2.Iterates dataset items
Integrate Looping by Zapier and dataset mapping to iterate items and map timestamps, post content, and URLs.
Looping by Zapieror swap with your favorite app
3.Finds duplicates in posts log
Integrate Zapier Tables and record lookups to search by external id and item url and skip repeats.
Zapier Tablesor swap with your favorite app
4.Filters posts by keywords
Integrate Code by Zapier and text analysis to run a keyword filter and produce matched keywords and timestamps.
Code by Zapieror swap with your favorite app
5.Blocks non request items
Integrate Filter by Zapier and conditional logic to continue only when the code output returns a positive result.
Filter by Zapieror swap with your favorite app
6.Creates and routes lead record
Integrate Sub-Zap by Zapier and lead routing flows to create the canonical lead record and notify owners.
Sub-Zap by Zapieror swap with your favorite app
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Step 1
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Define the trigger
Choose the events that should start your workflow, like a new submission, updated record, completed task, or customer action.
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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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