Bloomberry: Get Current Customers

Returns a list of active customers that is subscribed to a specific tech vendor OR to ANY tech vendor in a specific category Need an API key?

Tool ID: bloomberry_get_current_customers

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(
  'bloomberry_get_current_customers',
  {
    "next_token": "example",
    "limit": 20,
    "category": "example"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute bloomberry_get_current_customers --input '{
  "next_token": "example",
  "limit": 20,
  "category": "example"
}' --json

Example response

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

{
  "data": {
    "users": [
      {
        "id": 123,
        "domain": "example.com",
        "company_name": "Example Corp",
        "industry": "example",
        "company_size_range": "example",
        "company_size_range_estimated": true,
        "country": "US",
        "vendor_name": "Example",
        "vendor_category": "example",
        "vendor_url": "https://example.com"
      }
    ],
    "pagination": {
      "page": 123,
      "per_page": 123,
      "total_pages": 123,
      "total_items": 123
    }
  }
}

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

Input reference

Returns a list of active customers that is subscribed to a specific tech vendor OR to ANY tech vendor in a specific category Need an API key? Get a free API key here

Name	Type	Required	Default	Details
`payload.next_token`	`string`	No	—	Pagination token from previous response (located in “pagination” > “next_token”) to fetch the next page. Leave blank for the first page
`payload.limit`	`integer`	No	`20`	companies per page. Minimum: 1. Maximum: 20.
`payload.category`	`string`	No	—	The product category to get active customers for. All possible product categories are available at https://api.revealera.com/categories.txt. Pass “all” to get customers for all categories. Note: ONLY 1 of category OR vendor_name MUST be specified, but no more than 1.
`payload.vendor_name`	`string`	No	—	The name of the vendor to get current customers for. All possible vendor names can be found here: https://api.revealera.com/vendors.txt . Note: ONLY 1 of category OR vendor_name MUST be specified, but no more than 1.
`payload.company_employee_size_range`	`string`	No	—	Only show active customers from companies with number of employees that match the specified size ranges. Possible ranges are 1 employee, 2-10, 11-50, 51-200, 201-500, 501-1,000, 1,001-5,000, 5,001-10,000, 10,001+. Separate multiple values with semicolon.
`payload.company_industry`	`string`	No	—	Only show customers from companies in the industry passed in. We look at at the Linkedin company page to determine industries. All possible industries are in https://api.revealera.com/linkedin_industries.txt Separate multiple values with ’;’ default(all)
`payload.company_country`	`string`	No	—	Only show customers from companies headquartered in the country passed in. The country codes must be in ISO 3166-1 alpha-2 format. Separate multiple values with ’;’ default(all)
`payload.omit_linkedin_data`	`string`	No	`false`	true if you to omit linkedin-related fields from the response (ie for compliance reasons)

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.users`	`array`	Yes	—	Array of tech signal objects
`result.data.users[].id`	`integer`	Yes	—	Customer ID
`result.data.users[].linkedin_username`	`string`	No	—	LinkedIn username of the company
`result.data.users[].linkedin_company_id`	`string`	No	—	LinkedIn company id of the company
`result.data.users[].domain`	`string`	Yes	—	Company domain/website of the company
`result.data.users[].company_name`	`string`	Yes	—	Name of the company
`result.data.users[].company_logo`	`string`	No	—	URL to company logo
`result.data.users[].company_address`	`string`	No	—	Company address, if found
`result.data.users[].industry`	`string`	Yes	—	Company industry of the company
`result.data.users[].company_size_range`	`string`	Yes	—	Company size range
`result.data.users[].company_size_range_estimated`	`boolean`	Yes	—	true if the company_size_range was estimated by us, or false if it was taken directly from their Linkedin company profile
`result.data.users[].company_description`	`string`	No	—	Company description
`result.data.users[].country`	`string`	Yes	—	Company country
`result.data.users[].vendor_name`	`string`	Yes	—	Name of the technology vendor
`result.data.users[].vendor_category`	`string`	Yes	—	Category of the vendor/technology
`result.data.users[].vendor_url`	`string`	Yes	—	URL to vendor website
`result.data.users[].usage_started_at`	`string`	No	—	Date in which we detected this customer first started usage of this vendor in YYYY-MM-DD format
`result.data.users[].plan_name`	`string \| null`	No	—	the name of the product plan this customer is currently in (most of the time it is null, but if we know it, it is indicated here)
`result.data.pagination`	`object`	Yes	—	—
`result.data.pagination.page`	`integer`	Yes	—	Current page number
`result.data.pagination.per_page`	`integer`	Yes	—	Number of items per page
`result.data.pagination.total_pages`	`integer`	Yes	—	Total number of pages
`result.data.pagination.total_items`	`integer`	Yes	—	Total number of items
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: per_result (per result).
Estimated Deepline credits: 2.11 per pricing unit.

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Reference

Bloomberry: Get Current Customers

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