Automate Lead Enrichment with Dropcontact and PostgreSQL
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Supercharge your sales outreach by automatically enriching your leads with accurate contact information. This workflow leverages Dropcontact's powerful API to enrich up to 1500 profiles per hour, directly updating your PostgreSQL database.
About This Workflow
This n8n workflow is designed to streamline your lead qualification and enrichment process. It begins by querying your PostgreSQL database for potential leads, specifically targeting individuals with the title 'Bestuurder' (Director/Manager) whose email addresses are missing and whose domains are not common free email providers or excluded domains. These identified leads are then batched into groups of 250 and sent asynchronously to Dropcontact for enrichment. Dropcontact provides valuable data such as email addresses, phone numbers, and full names. The enriched data is then parsed and meticulously updated back into your PostgreSQL 'profiles' table, flagging them as Dropcontact-found and including email qualification details. This ensures your sales team always has up-to-date and accurate information for more effective outreach.
Key Features
- Automated Lead Enrichment: Continuously enrich your lead data without manual intervention.
- High-Volume Processing: Handles up to 1500 requests per hour for efficient scaling.
- Intelligent Data Fetching: Custom PostgreSQL query to pinpoint high-potential leads.
- Error Handling & Retries: Robust design with automatic retries for API requests.
- Direct Database Updates: Seamlessly integrates enriched data back into your PostgreSQL database.
How To Use
- Configure PostgreSQL Connection: Set up your n8n PostgreSQL credentials to connect to your database.
- Customize the 'PROFILES QUERY' Node: Modify the SQL query to match your specific lead identification criteria (e.g., titles, domain exclusions, existing data checks).
- Configure Dropcontact API Key: Input your Dropcontact API key in the 'BULK DROPCONTACT REQUESTS' node's credentials.
- Adjust Batch Size: Fine-tune the
batchSizein the 'Loop Over Items2' node if needed for optimal performance. - Map Output Fields: Ensure the 'Postgres' node correctly maps the incoming data from Dropcontact to your 'profiles' table columns, paying close attention to the
email,phone,full_name,dropcontact_found, andemail_qualificationfields.
Apps Used
Workflow JSON
{
"id": "16c49b2d-d61f-4a8b-b12b-4ec2bf6a7a06",
"name": "Automate Lead Enrichment with Dropcontact and PostgreSQL",
"nodes": 29,
"category": "Sales",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 16c49b2d-d61f...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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