Automate your lead generation from end to end.
Businesses often spend significant time manually searching for potential customers across different platforms.
Lead information is scattered across sources such as Google Maps and LinkedIn, requiring teams to repeatedly search, collect, organize, and transfer prospect information into internal systems.
As lead generation volume increases, manual research becomes repetitive and difficult to manage consistently.
Without a structured lead generation process, businesses struggle to maintain a continuous flow of prospects while spending valuable time on repetitive data collection and CRM updates.
A consistent sales pipeline depends on a consistent flow of new leads.
When lead generation is handled manually, teams spend time searching for prospects instead of focusing on sales and business development.
Manual prospect research slows lead generation. Data collected from different sources can become inconsistent. Repeated data entry creates unnecessary operational work.
Businesses need automated systems that continuously discover potential customers and organize their information for sales activity.
The workflow automatically runs on a scheduled basis using a Cron trigger.
The system retrieves lead-generation inputs from two Google Sheets and sends them through separate HTTP-based collection workflows.
One workflow connects to an Apify actor to collect potential business leads from Google Maps.
The second workflow connects to an Apify actor to collect potential leads from LinkedIn.
The collected information then passes through n8n logic and processing nodes to structure, filter, and prepare the lead records.
The processed company and lead information is automatically stored in HubSpot and Airtable for organized sales and prospect management.
After the records are processed, the system sends a Slack notification to the internal team with the relevant lead information and processing status.