Lemlist: Post Database Companies

Search Companies Database.

Tool ID: lemlist_post_database_companies

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(
  'lemlist_post_database_companies',
  {
    "filters": [
      {
        "filterId": "filter_123",
        "in": [
          "example"
        ],
        "out": [
          "example"
        ]
      }
    ],
    "page": 123,
    "size": 123
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute lemlist_post_database_companies --input '{
  "filters": [
    {
      "filterId": "filter_123",
      "in": [
        "example"
      ],
      "out": [
        "example"
      ]
    }
  ],
  "page": 123,
  "size": 123
}' --json

Example response

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

{
  "data": {
    "results": [
      {
        "company_id": "company_123",
        "company_website_url": "https://example.com/resource",
        "company_name": "Example Corp"
      }
    ],
    "total": 123,
    "took": 123
  }
}

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

Input reference

Search the lemlist Companies database using structured filters with pagination support. Returns comprehensive company data including technologies used, location, employee count, and other business intelligence.

Name	Type	Required	Default	Details
`payload.filters`	`array`	No	—	Array of filter objects to narrow down search results. Each filter has a filterId and inclusion/exclusion criteria.
`payload.page`	`integer`	No	—	Page number for pagination (default: 1)
`payload.size`	`integer`	No	—	Number of results per page (default: 100, max: 500)

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.results`	`array`	No	—	—
`result.data.results[].company_id`	`string`	No	—	Unique company identifier
`result.data.results[].company_website_url`	`string`	No	—	Official company website URL Format: `uri`.
`result.data.results[].company_name`	`string`	No	—	Company name
`result.data.results[].company_linkedin_url`	`string`	No	—	LinkedIn company profile URL Format: `uri`.
`result.data.results[].last_updated`	`string`	No	—	Last update timestamp (UTC)
`result.data.results[].company_headquarters_city`	`string`	No	—	Headquarters city
`result.data.results[].company_headquarters_country`	`string`	No	—	Headquarters country
`result.data.results[].company_logo_url`	`string`	No	—	Company logo image URL Format: `uri`.
`result.data.results[].company_description`	`string`	No	—	Long company description
`result.data.results[].company_employee_count`	`string`	No	—	Employee count as string
`result.data.results[].company_type`	`string`	No	—	Company type (e.g., Privately Held, Public Company)
`result.data.results[].company_founded`	`string`	No	—	Year founded as string
`result.data.results[].company_followers_count`	`string`	No	—	LinkedIn followers count as string
`result.data.results[].company_size`	`string`	No	—	Company size bucket
`result.data.results[].revenue_bucket`	`string`	No	—	Revenue range bucket
`result.data.results[].company_domain`	`string`	No	—	Company web domain
`result.data.results[].employees_count_growth`	`integer`	No	—	Employee count growth number
`result.data.results[].last_funding_round_at`	`string`	No	—	Date of last funding round
`result.data.results[].techno_used_array`	`array`	No	—	Array of technologies used by the company
`result.data.results[].business_business_customer`	`"B2B" \| "B2C" \| "B2B2C"`	No	—	Customer type Allowed: `B2B`, `B2C`, `B2B2C`.
`result.data.results[].company_quality_score`	`string`	No	—	Quality score as string
`result.data.results[].company_industry`	`string`	No	—	Primary industry
`result.data.results[].company_subindustry`	`string`	No	—	Sub-industry
`result.data.results[].company_subsubindustry`	`string`	No	—	Sub-sub-industry
`result.data.results[].company_location`	`string`	No	—	Full formatted location
`result.data.results[].company_location_geopoint_array`	`array`	No	—	Geopoint coordinates [longitude, latitude]
`result.data.results[].company_occ_lead`	`string`	No	—	Occupational lead count as string
`result.data.results[]._score`	`number`	No	—	Search relevance score
`result.data.results[]._id`	`string`	No	—	Internal document ID
`result.data.total`	`integer`	No	—	Total number of companies matching the search criteria
`result.data.took`	`integer`	No	—	Time taken for the search in milliseconds
`result.data.page`	`integer`	No	—	Current page number
`result.data.size`	`integer`	No	—	Number of results per page
`result.data.search`	`string`	No	—	Search session identifier
`result.data.limitation`	`integer`	No	—	Result limitation applied
`result.data.team`	`string`	No	—	Team identifier
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: fixed (per call).
Estimated Deepline credits: 0 per pricing unit.
Provider-native pricing may still exist outside Deepline credit billing.

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Common workflows

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Reference

Lemlist: Post Database Companies

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