Connect People Data Labs and Sendinblue with powerful automation workflows. Build multi-step integrations using triggers and actions to sync data, automate conversations, and streamline business processes. Add AI, custom code, or webhooks when needed — pay for CPU time, not per-operation fees.
| Platform | 100K ops/mo | 1M ops/mo |
|---|---|---|
| Latenode | $19 | $59 |
| Zapier | $733–$898 | $3,299–$3,749 |
| Make | $80–$203 | $880–$1,647 |
| n8n Cloud | €72 | €720 |
| You save | $59–$879/mo | $719–$3,690/mo |
Sign up for Latenode (free) and click "Create New Scenario" to start building your People Data Labs + Sendinblue workflow.
Search for People Data Labs in the app panel and select the trigger event that should start your automation.
Authenticate your People Data Labs account securely via OAuth or API key. Latenode never stores your passwords.
Add a Sendinblue node and choose the action to perform when the trigger fires.
Click "Run Once" to test your workflow, then hit "Deploy" to activate it. Your People Data Labs + Sendinblue automation is now live!
Connecting People Data Labs and Sendinblue eliminates manual data transfer and reduces errors. Instead of switching between apps, your workflows run automatically in the background.
With Latenode, you can create complex multi-step automations that go beyond simple point-to-point integrations. Add conditional logic, AI processing, data transformation, and connect with 1,200+ other apps — all in a single workflow.
People Data Labs provides enriched B2B contact and company data through a single API. In Latenode, connect it to build automated prospecting workflows—enrich leads from your CRM, validate emails, or segment audiences by firmographics without manual research. Use our no-code integration to trigger enrichment on new contacts, then pass results to email campaigns, Slack notifications, or databases. Combine with AI workflows to generate personalized outreach at scale, or use JavaScript nodes for custom data transformation. Pay only for executions, not API calls per se, making large-scale enrichment cost-effective compared to traditional tools.
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