Lusha: Search Contacts

Prospect for contacts by department, seniority, company size, industry, job title, location, and technologies.

Tool ID: lusha_search_contacts

Run this action

Use the TypeScript SDK for a single call. Put ctx.tools.execute(...) inside a Play when the call should be durable, scheduled, or run across a CSV.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'lusha_search_contacts',
  {
    "filters": {
      "contacts": {
        "include": {
          "departments": [
            "example"
          ],
          "seniority": [
            123
          ],
          "existing_data_points": [
            "example"
          ]
        },
        "exclude": {
          "departments": [
            "example"
          ],
          "seniority": [
            123
          ],
          "existing_data_points": [
            "example"
          ]
        }
      },
      "companies": {
        "include": {
          "names": [
            "Example"
          ],
          "locations": [
            {}
          ],
          "technologies": [
            "example"
          ]
        },
        "exclude": {
          "names": [
            "Example"
          ],
          "locations": [
            {}
          ],
          "technologies": [
            "example"
          ]
        }
      }
    }
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute lusha_search_contacts --input '{
  "filters": {
    "contacts": {
      "include": {
        "departments": [
          "example"
        ],
        "seniority": [
          123
        ],
        "existing_data_points": [
          "example"
        ]
      },
      "exclude": {
        "departments": [
          "example"
        ],
        "seniority": [
          123
        ],
        "existing_data_points": [
          "example"
        ]
      }
    },
    "companies": {
      "include": {
        "names": [
          "Example"
        ],
        "locations": [
          {}
        ],
        "technologies": [
          "example"
        ]
      },
      "exclude": {
        "names": [
          "Example"
        ],
        "locations": [
          {}
        ],
        "technologies": [
          "example"
        ]
      }
    }
  }
}' --json

Example response

The SDK exposes this shape at result.toolResponse.raw. Values below are representative.

{
  "requestId": "request_123",
  "currentPage": 123,
  "pageLength": 123,
  "totalResults": 123,
  "contacts": [
    {
      "personId": "person_123",
      "firstName": "Jane",
      "lastName": "Doe",
      "title": "VP of Engineering",
      "department": "example",
      "companyName": "Example Corp",
      "companyDomain": "example.com",
      "location": "example",
      "linkedinUrl": "https://www.linkedin.com/in/jane-doe"
    }
  ]
}

Use deepline tools get lusha_search_contacts --json for the latest machine-readable contract.

Input reference

Name	Type	Required	Default	Details
`payload.includePartialContact`	`boolean`	No	—	Include contacts with partial information. Defaults to true upstream.
`payload.excludeDnc`	`boolean`	No	—	Exclude contacts whose phone numbers are all marked Do Not Call.
`payload.pages`	`object`	No	—	—
`payload.filters`	`object`	Yes	—	Current Lusha prospecting search contract uses nested contact/company filters.

Output reference

Name	Type	Required	Default	Details
`result.requestId`	`string`	Yes	—	—
`result.currentPage`	`integer`	Yes	—	—
`result.pageLength`	`integer`	Yes	—	—
`result.totalResults`	`integer`	Yes	—	—
`result.contacts`	`array`	Yes	—	—
`result.contacts[].personId`	`string`	Yes	—	—
`result.contacts[].firstName`	`string`	Yes	—	—
`result.contacts[].lastName`	`string`	Yes	—	—
`result.contacts[].title`	`string`	Yes	—	—
`result.contacts[].department`	`string`	Yes	—	—
`result.contacts[].companyName`	`string`	Yes	—	—
`result.contacts[].companyDomain`	`string`	Yes	—	—
`result.contacts[].location`	`string`	Yes	—	—
`result.contacts[].linkedinUrl`	`string`	Yes	—	—

Deepline cost

Pricing model: per_result (per result).
Estimated Deepline credits: 0.7 per pricing unit.

Get started

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Common workflows

Data and integrations

Reference

Lusha: Search Contacts

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

​Run this action

​CLI

​Example response

​Input reference

​Output reference

​Deepline cost

​Related documentation

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

Related documentation