Datagma: Search Phone Numbers

Find a person’s mobile or direct phone number from an email address or a LinkedIn profile username.

Tool ID: datagma_search_phone_numbers

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(
  'datagma_search_phone_numbers',
  {
    "email": "jane.doe@example.com",
    "username": "user@example.com",
    "minimumMatch": 1
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute datagma_search_phone_numbers --input '{
  "email": "jane.doe@example.com",
  "username": "user@example.com",
  "minimumMatch": 1
}' --json

Example response

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

{
  "data": {
    "httpStatusCode": 123,
    "visibleSources": 123,
    "availableSources": 123
  }
}

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

Input reference

Search Phone Numbers

Name	Type	Required	Default	Details
`payload.email`	`string`	No	—	Email address. You can use the same time, Username & email address to improve the found rate.
`payload.username`	`string`	No	—	Can be a Social Media Url. You can’t use Sales Navigator URL. You can use the same time, Username & email address to improve the found rate. If you do not have the social URL or the email, please use the Full Enrich endpoint.
`payload.minimumMatch`	`number`	No	`1`	Minimum match. We suggest to let 1. You can lower the value if you want more results, but less accurate. Format: `double`.
`payload.whatsapp_check`	`boolean`	No	—	We can verify if the mobile number is linked to aWhatsApp account

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.httpStatusCode`	`integer`	No	—	Format: `int64`.
`result.data.visibleSources`	`integer`	No	—	Format: `int64`.
`result.data.availableSources`	`integer`	No	—	Format: `int64`.
`result.data.personsCount`	`integer`	No	—	Format: `int64`.
`result.data.warnings`	`array`	No	—	—
`result.data.query`	`object`	No	—	—
`result.data.query.names`	`array`	No	—	—
`result.data.query.names[].first`	`string`	No	—	—
`result.data.query.names[].middle`	`string`	No	—	—
`result.data.query.names[].last`	`string`	No	—	—
`result.data.query.names[].display`	`string`	No	—	—
`result.data.query.usernames`	`array`	No	—	—
`result.data.query.usernames[].content`	`string`	No	—	—
`result.data.query.emails`	`array`	No	—	—
`result.data.query.emails[].address`	`string`	No	—	—
`result.data.query.emails[].address_md5`	`string`	No	—	—
`result.data.query.phones`	`array`	No	—	—
`result.data.query.phones[].country_code`	`integer`	No	—	Format: `int64`.
`result.data.query.phones[].number`	`integer`	No	—	Format: `int64`.
`result.data.query.phones[].display`	`string`	No	—	—
`result.data.query.phones[].displayInternational`	`string`	No	—	—
`result.data.query.dob`	`object`	No	—	—
`result.data.query.dob.date_range`	`object`	No	—	—
`result.data.query.dob.date_range.start`	`string`	No	—	—
`result.data.query.dob.date_range.end`	`string`	No	—	—
`result.data.query.dob.display`	`string`	No	—	—
`result.data.query.addresses`	`array`	No	—	—
`result.data.query.addresses[].country`	`string`	No	—	—
`result.data.query.addresses[].state`	`string`	No	—	—
`result.data.query.addresses[].display`	`string`	No	—	—
`result.data.availableData`	`object`	No	—	—
`result.data.availableData.premium`	`object`	No	—	—
`result.data.availableData.premium.relationships`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.usernames`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.jobs`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.addresses`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.ethnicities`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.phones`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.mobile_phones`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.landline_phones`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.educations`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.languages`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.user_ids`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.social_profiles`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.names`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.dobs`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.images`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.genders`	`integer`	No	—	Format: `int64`.
`result.data.availableData.premium.emails`	`integer`	No	—	Format: `int64`.

The table shows the first 50 fields. Expand the raw schema below for every field.

This output schema is too large to embed without slowing the page. Get the complete live contract with deepline tools get datagma_search_phone_numbers --json.

Deepline cost

Pricing model: provider_usage (provider usage).
Estimated Deepline credits: 0.14 per pricing unit.

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Reference

Datagma: Search Phone Numbers

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