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Lusha API & Connectors - Build and Automate

An overview of Lusha's API and Connectors - what they do, when to use each, and how to get started.

Written by Hila

Lusha's API and Connectors let you bring verified contact and company data directly into your own systems and workflows — automatically, at scale, without manual exports.

Whether you're a developer building a custom integration or a RevOps manager setting up a no-code automation, Lusha has a path for you.

The API gives you programmatic access to Lusha's full data set — contacts, companies, enrichment, signals, and lookalikes. Use it to enrich records the moment they enter your systems, build waterfall enrichment logic, or power your own internal tools with Lusha data.

Common use cases:

  • Enrich inbound form submissions in real time before they hit your CRM

  • Bulk-enrich existing records on a schedule

  • Trigger outreach based on job change or hiring signals

  • Find lookalike contacts and companies from your best customers

Your API key is available under Settings → API and is visible to Admins and Managers only.

Connectors are pre-built integrations between Lusha and popular automation platforms. They're the fastest way to get Lusha data flowing into your stack without writing code.

Supported platforms include Zapier, Make, n8n, Workato, Pipedream, Albato, Clay, and Google Sheets. Each connector lets you trigger enrichment from an event in another tool — a new CRM lead, a form submission, a spreadsheet row — and push the enriched data wherever you need it.

API or Connectors — which should you use?

  • Use the API if you're a developer, need custom logic, or want to integrate Lusha directly into your own product or internal tooling

  • Use Connectors if you want to automate enrichment without code, using tools your team already runs

💡 Note: Both the API and Connectors consume Lusha credits. Credit cost depends on the data points returned — check All There Is to Know About Lusha's API for a full breakdown

Now you're ready to put Lusha data to work across your entire stack.

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