Enrich

Enrich Companies

Reveal full company data for companies you’ve already found via Search Companies.

Pass up to 100 company ids (from the search response). Each enriched result includes:

Firmographics: size, revenue range, year founded, company type
Industry: primary industry, sub-industry, SIC/NAICS codes
Locations: HQ and additional office sites
Technologies and funding rounds
LinkedIn followers, logo URL, social links (LinkedIn, Facebook, X, Instagram, YouTube, TikTok)
Open job posting counts: total and breakdowns by department, location, and seniority
Ownership: immediate parent (directParent) and top of the ownership tree (ultimateParent)

Billing: Charged per successful result via the reveal_company action.

Persisting to a table: Pass tableId to also add these companies to an existing table and populate the relevant enrichment columns. See Companies Tables.

POST

companies

enrich

Enrich Companies

curl --request POST \
  --url https://api.lusha.com/v3/companies/enrich \
  --header 'Content-Type: application/json' \
  --header 'api_key: <api-key>' \
  --data '
{
  "ids": [
    "16303253",
    "12790225",
    "18654301"
  ],
  "reveal": [
    "employeesByLocation",
    "employeesByDepartment",
    "employeesBySeniority",
    "competitors",
    "openJobsTotal",
    "openJobsByDepartment",
    "directParent",
    "ultimateParent"
  ]
}
'

import requests

url = "https://api.lusha.com/v3/companies/enrich"

payload = {
    "ids": ["16303253", "12790225", "18654301"],
    "reveal": ["employeesByLocation", "employeesByDepartment", "employeesBySeniority", "competitors", "openJobsTotal", "openJobsByDepartment", "directParent", "ultimateParent"]
}
headers = {
    "api_key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {api_key: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    ids: ['16303253', '12790225', '18654301'],
    reveal: [
      'employeesByLocation',
      'employeesByDepartment',
      'employeesBySeniority',
      'competitors',
      'openJobsTotal',
      'openJobsByDepartment',
      'directParent',
      'ultimateParent'
    ]
  })
};

fetch('https://api.lusha.com/v3/companies/enrich', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

HttpResponse<String> response = Unirest.post("https://api.lusha.com/v3/companies/enrich")
  .header("api_key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"ids\": [\n    \"16303253\",\n    \"12790225\",\n    \"18654301\"\n  ],\n  \"reveal\": [\n    \"employeesByLocation\",\n    \"employeesByDepartment\",\n    \"employeesBySeniority\",\n    \"competitors\",\n    \"openJobsTotal\",\n    \"openJobsByDepartment\",\n    \"directParent\",\n    \"ultimateParent\"\n  ]\n}")
  .asString();

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.lusha.com/v3/companies/enrich"

	payload := strings.NewReader("{\n  \"ids\": [\n    \"16303253\",\n    \"12790225\",\n    \"18654301\"\n  ],\n  \"reveal\": [\n    \"employeesByLocation\",\n    \"employeesByDepartment\",\n    \"employeesBySeniority\",\n    \"competitors\",\n    \"openJobsTotal\",\n    \"openJobsByDepartment\",\n    \"directParent\",\n    \"ultimateParent\"\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("api_key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

{
  "requestId": "5e8f5993-a0a3-4510-bc90-7b4506272c68",
  "results": [
    {
      "id": "16303253",
      "name": "Lusha",
      "alternativeName": "lusha",
      "domain": "www.lusha.com",
      "alternativeDomains": [
        "lusha.com"
      ],
      "description": "Lusha is the leader in Sales Streaming – a new sales paradigm that streams top leads straight to salespeople and handles all the outreach, so they can escape the lead grind and just sell.",
      "companyType": "Private Company",
      "yearFounded": 2016,
      "employeeCount": {
        "exact": 364,
        "min": 201,
        "max": 500
      },
      "industry": "Technology, Information & Media",
      "subIndustry": "Software Development",
      "specialities": [
        "data accuracy",
        "data enrichment",
        "lead discovery",
        "lead generation",
        "prospecting",
        "sales enablement",
        "sales intelligence",
        "software development"
      ],
      "sicCodes": [
        {
          "code": 7371,
          "description": "Custom computer programming services"
        }
      ],
      "naicsCodes": [
        {
          "code": 541511,
          "description": "Custom Computer Programming Services"
        }
      ],
      "location": {
        "city": "Boston",
        "state": "Massachusetts",
        "country": "United States",
        "countryIso2": "US",
        "continent": "North America",
        "zipCode": "02199"
      },
      "additionalLocations": [
        {
          "city": "New York City",
          "state": "New York",
          "country": "United States",
          "countryIso2": "US",
          "continent": "North America"
        }
      ],
      "socialLinks": {
        "linkedin": "https://www.linkedin.com/company/lushadata",
        "facebook": "https://www.facebook.com/lusha",
        "x": "https://x.com/lusha",
        "instagram": [
          "https://www.instagram.com/lusha"
        ],
        "youtube": [
          "https://www.youtube.com/c/lushadata"
        ],
        "tiktok": [
          "https://www.tiktok.com/@lusha"
        ]
      },
      "linkedinFollowers": 64339,
      "funding": {
        "rounds": [
          {
            "currency": "USD",
            "roundAmount": 205000000,
            "roundType": "Private Equity Round",
            "roundDate": "Nov 10, 2021"
          },
          {
            "currency": "USD",
            "roundAmount": 40000000,
            "roundType": "Private Equity Round",
            "roundDate": "Feb 10, 2021"
          }
        ],
        "totalRounds": 2,
        "totalRoundsAmount": 245000000,
        "currency": "USD",
        "isIpo": false,
        "lastRoundType": "Private Equity Round",
        "lastRoundAmount": 205000000,
        "lastRoundDate": "Nov 10, 2021"
      },
      "technologies": [
        "amazon",
        "google analytics"
      ],
      "popularityTier": 1,
      "logoUrl": "https://logo.lusha.co/brightdata/year=2024/month=05/day=03/j_lvq47h0g13te1b3wpu.e7b0795e7affc9953dadd43e6fce99a2c5260043.file_lvq4cfwv17kcb9m4ej.logo_cached.jpg",
      "employeesByDepartment": [
        {
          "department": "Business Development",
          "count": 14
        },
        {
          "department": "Consulting",
          "count": 10
        },
        {
          "department": "Customer Service",
          "count": 28
        },
        {
          "department": "Engineering & Technical",
          "count": 95
        },
        {
          "department": "Finance",
          "count": 14
        },
        {
          "department": "General Management",
          "count": 41
        },
        {
          "department": "Human Resources",
          "count": 16
        },
        {
          "department": "Information Technology",
          "count": 13
        },
        {
          "department": "Legal",
          "count": 7
        },
        {
          "department": "Marketing",
          "count": 31
        },
        {
          "department": "Operations",
          "count": 22
        },
        {
          "department": "Other",
          "count": 35
        },
        {
          "department": "Product",
          "count": 38
        },
        {
          "department": "Research & Analytics",
          "count": 42
        },
        {
          "department": "Sales",
          "count": 72
        }
      ],
      "employeesByLocation": [
        {
          "country": "Israel",
          "state": null,
          "count": 301
        },
        {
          "country": "United States",
          "state": null,
          "count": 45
        },
        {
          "country": "United States",
          "state": "Massachusetts",
          "count": 30
        },
        {
          "country": "Brazil",
          "state": null,
          "count": 22
        },
        {
          "country": "France",
          "state": null,
          "count": 10
        }
      ],
      "employeesBySeniority": [
        {
          "seniority": "C-Suite",
          "count": 12
        },
        {
          "seniority": "Director",
          "count": 35
        },
        {
          "seniority": "Founder",
          "count": 33
        },
        {
          "seniority": "Intern",
          "count": 1
        },
        {
          "seniority": "Manager",
          "count": 141
        },
        {
          "seniority": "Non-Manager",
          "count": 163
        },
        {
          "seniority": "Partner",
          "count": 6
        },
        {
          "seniority": "Senior",
          "count": 59
        },
        {
          "seniority": "Vice President",
          "count": 9
        }
      ],
      "competitors": [
        {
          "id": "2497917",
          "name": "Clearbit",
          "domain": "clearbit.com"
        },
        {
          "id": "9781263",
          "name": "Hunter.io",
          "domain": "hunter.io"
        },
        {
          "id": "40857684",
          "name": "MCJ Solutions Inc",
          "domain": "zoominfo.com"
        },
        {
          "id": "157961346",
          "name": "PMc",
          "domain": "apollo.io"
        }
      ],
      "businessModel": [
        "B2B"
      ],
      "emails": [
        {
          "email": "Support@Lusha.com"
        }
      ],
      "keywords": [
        "contact information",
        "data accuracy",
        "data enrichment",
        "lead discovery",
        "lead generation",
        "prospecting",
        "sales cadence",
        "sales enablement",
        "sales intelligence",
        "sales playlist",
        "sales streaming",
        "software development"
      ],
      "openJobs": {
        "total": 47,
        "byDepartment": [
          {
            "department": "Engineering & Technical",
            "count": 21
          },
          {
            "department": "Sales",
            "count": 9
          }
        ]
      },
      "directParent": null,
      "ultimateParent": null
    },
    {
      "id": "12790225",
      "name": "Salesforce",
      "alternativeName": "salesforce",
      "domain": "www.salesforce.com",
      "alternativeDomains": [
        "salesforce.com"
      ],
      "description": "We're the #1 AI CRM-where humans with agents drive customer success together with AI, data, and Customer 360 apps on one platform.",
      "companyType": "Public Company",
      "employeeCount": {
        "exact": 88711,
        "min": 100001,
        "max": 10000000
      },
      "industry": "Technology, Information & Media",
      "subIndustry": "Software Development",
      "sicCodes": [
        {
          "code": 7371,
          "description": "Custom computer programming services"
        }
      ],
      "naicsCodes": [
        {
          "code": 541511,
          "description": "Custom Computer Programming Services"
        }
      ],
      "location": {
        "city": "San Francisco",
        "state": "California",
        "country": "United States",
        "countryIso2": "US",
        "continent": "North America",
        "zipCode": "94105"
      },
      "additionalLocations": [
        {
          "country": "United States",
          "countryIso2": "US",
          "continent": "North America"
        },
        {
          "city": "Chicago",
          "state": "Illinois",
          "country": "United States",
          "countryIso2": "US",
          "continent": "North America"
        },
        {
          "city": "London",
          "country": "United Kingdom",
          "countryIso2": "GB",
          "continent": "Europe"
        },
        {
          "city": "Tel Aviv",
          "country": "Israel",
          "countryIso2": "IL",
          "continent": "Asia"
        }
      ],
      "socialLinks": {
        "linkedin": "https://www.linkedin.com/company/salesforce"
      },
      "linkedinFollowers": 6417067,
      "revenueRange": {
        "min": 10000000000,
        "max": 100000000000
      },
      "technologies": [
        "amazon",
        "paypal",
        "google analytics"
      ],
      "popularityTier": 1,
      "logoUrl": "https://logo.lusha.co/brightdata/year=2024/month=05/day=20/j_lwej8xik12ncr6ge4u.9e1ec373903019beff129694cb926761f065e9af.file_lwejc8mispkz3m1ng.logo_cached.jpg",
      "employeesByDepartment": [
        {
          "department": "Business Development",
          "count": 2820
        },
        {
          "department": "Consulting",
          "count": 4963
        },
        {
          "department": "Engineering & Technical",
          "count": 29167
        },
        {
          "department": "Finance",
          "count": 2126
        },
        {
          "department": "Marketing",
          "count": 4793
        },
        {
          "department": "Operations",
          "count": 6117
        },
        {
          "department": "Sales",
          "count": 22316
        }
      ],
      "employeesByLocation": [
        {
          "country": "United States",
          "state": null,
          "count": 46090
        },
        {
          "country": "United States",
          "state": "California",
          "count": 9928
        },
        {
          "country": "India",
          "state": null,
          "count": 18527
        },
        {
          "country": "United Kingdom",
          "state": null,
          "count": 3682
        },
        {
          "country": "Ireland",
          "state": null,
          "count": 3226
        }
      ],
      "employeesBySeniority": [
        {
          "seniority": "C-Suite",
          "count": 1039
        },
        {
          "seniority": "Director",
          "count": 11538
        },
        {
          "seniority": "Manager",
          "count": 18836
        },
        {
          "seniority": "Non-Manager",
          "count": 49493
        },
        {
          "seniority": "Senior",
          "count": 20509
        },
        {
          "seniority": "Vice President",
          "count": 3104
        }
      ],
      "competitors": [
        {
          "id": "4269625",
          "name": "iGroup Vietnam - Solutions for Enterprise",
          "domain": "monday.com"
        },
        {
          "id": "7237482",
          "name": "Pipedrive",
          "domain": "pipedrive.com"
        },
        {
          "id": "9740086",
          "name": "Microsoft",
          "domain": "microsoft.com"
        },
        {
          "id": "156097472",
          "name": "Hub Spot",
          "domain": "hubspot.com"
        }
      ],
      "phones": [
        {
          "number": "+1 800-420-7332"
        }
      ],
      "emails": [
        {
          "email": "datasubjectrequest@salesforce.com"
        }
      ],
      "directParent": null,
      "ultimateParent": null
    },
    {
      "id": "18654301",
      "name": "4D",
      "domain": "4d.com",
      "companyType": "Subsidiary",
      "directParent": {
        "lushaCompanyId": "v1.XyZw...",
        "name": "Volaris Group",
        "domain": "volarisgroup.com"
      },
      "ultimateParent": {
        "lushaCompanyId": "v1.QrSt...",
        "name": "Constellation Software Inc.",
        "domain": "csisoftware.com",
        "hqCountry": "Canada"
      }
    }
  ],
  "billing": {
    "creditsCharged": 14,
    "resultsReturned": 3
  }
}

Authorizations

api_key

string

header

required

Your Lusha API key. You can find this in your Lusha dashboard under API settings. Include this key in the api_key header for all requests.

Body

application/json

ids

string[]

required

Company IDs from search results (strings)

Required array length: 1 - 100 elements

Example:

["16303253", "12790225"]

reveal

enum<string>[]

Additional data fields to reveal. Each field is charged separately per result.

employeesByDepartment - breakdown of employees by department
employeesByLocation - breakdown of employees by country/state
employeesBySeniority - breakdown of employees by seniority level
competitors - list of competitor company IDs
estimatedAnnualItSpend - estimated annual IT spend.
monthlyWebsiteTraffic - monthly website traffic and month-over-month change.
openJobsTotal - reveals the total open job count. In the response, this appears as the total field inside the openJobs object.
openJobsByDepartment - reveals open job counts broken down by department. In the response, this appears as the byDepartment field inside the openJobs object.
openJobsByLocation - reveals open job counts broken down by location. In the response, this appears as the byLocation field inside the openJobs object.
openJobsBySeniority - reveals open job counts broken down by seniority level. In the response, this appears as the bySeniority field inside the openJobs object.
directParent - the company's immediate parent in its ownership tree.
ultimateParent - the company at the top of its ownership tree.

Available options:

employeesByDepartment,

employeesByLocation,

employeesBySeniority,

competitors,

estimatedAnnualItSpend,

monthlyWebsiteTraffic,

openJobsTotal,

openJobsByDepartment,

openJobsByLocation,

openJobsBySeniority,

directParent,

ultimateParent

Example:

[
  "employeesByDepartment",
  "employeesByLocation",
  "employeesBySeniority",
  "competitors",
  "estimatedAnnualItSpend",
  "monthlyWebsiteTraffic",
  "openJobsTotal",
  "openJobsByDepartment",
  "openJobsByLocation",
  "openJobsBySeniority",
  "directParent",
  "ultimateParent"
]

tableId

string

Optional. If provided, these companies are also added to this table (if not already present) and the revealed fields' columns are populated. See the Tables API.

Example:

"583021"

Response

Successful response

requestId

string<uuid>

results

object[]

Show child attributes

tableWrite

object

Added to a Prospecting, Enrich, Signals, or Lookalike response when tableId is passed on the request. The primary response is unaffected even if the table write fails.

Show child attributes

billing

object

Credit usage summary for a V3 API request

Show child attributes

⌘I

Enrich Companies

curl --request POST \
  --url https://api.lusha.com/v3/companies/enrich \
  --header 'Content-Type: application/json' \
  --header 'api_key: <api-key>' \
  --data '
{
  "ids": [
    "16303253",
    "12790225",
    "18654301"
  ],
  "reveal": [
    "employeesByLocation",
    "employeesByDepartment",
    "employeesBySeniority",
    "competitors",
    "openJobsTotal",
    "openJobsByDepartment",
    "directParent",
    "ultimateParent"
  ]
}
'

import requests

url = "https://api.lusha.com/v3/companies/enrich"

payload = {
    "ids": ["16303253", "12790225", "18654301"],
    "reveal": ["employeesByLocation", "employeesByDepartment", "employeesBySeniority", "competitors", "openJobsTotal", "openJobsByDepartment", "directParent", "ultimateParent"]
}
headers = {
    "api_key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {api_key: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    ids: ['16303253', '12790225', '18654301'],
    reveal: [
      'employeesByLocation',
      'employeesByDepartment',
      'employeesBySeniority',
      'competitors',
      'openJobsTotal',
      'openJobsByDepartment',
      'directParent',
      'ultimateParent'
    ]
  })
};

fetch('https://api.lusha.com/v3/companies/enrich', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

HttpResponse<String> response = Unirest.post("https://api.lusha.com/v3/companies/enrich")
  .header("api_key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"ids\": [\n    \"16303253\",\n    \"12790225\",\n    \"18654301\"\n  ],\n  \"reveal\": [\n    \"employeesByLocation\",\n    \"employeesByDepartment\",\n    \"employeesBySeniority\",\n    \"competitors\",\n    \"openJobsTotal\",\n    \"openJobsByDepartment\",\n    \"directParent\",\n    \"ultimateParent\"\n  ]\n}")
  .asString();

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.lusha.com/v3/companies/enrich"

	payload := strings.NewReader("{\n  \"ids\": [\n    \"16303253\",\n    \"12790225\",\n    \"18654301\"\n  ],\n  \"reveal\": [\n    \"employeesByLocation\",\n    \"employeesByDepartment\",\n    \"employeesBySeniority\",\n    \"competitors\",\n    \"openJobsTotal\",\n    \"openJobsByDepartment\",\n    \"directParent\",\n    \"ultimateParent\"\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("api_key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

{
  "requestId": "5e8f5993-a0a3-4510-bc90-7b4506272c68",
  "results": [
    {
      "id": "16303253",
      "name": "Lusha",
      "alternativeName": "lusha",
      "domain": "www.lusha.com",
      "alternativeDomains": [
        "lusha.com"
      ],
      "description": "Lusha is the leader in Sales Streaming – a new sales paradigm that streams top leads straight to salespeople and handles all the outreach, so they can escape the lead grind and just sell.",
      "companyType": "Private Company",
      "yearFounded": 2016,
      "employeeCount": {
        "exact": 364,
        "min": 201,
        "max": 500
      },
      "industry": "Technology, Information & Media",
      "subIndustry": "Software Development",
      "specialities": [
        "data accuracy",
        "data enrichment",
        "lead discovery",
        "lead generation",
        "prospecting",
        "sales enablement",
        "sales intelligence",
        "software development"
      ],
      "sicCodes": [
        {
          "code": 7371,
          "description": "Custom computer programming services"
        }
      ],
      "naicsCodes": [
        {
          "code": 541511,
          "description": "Custom Computer Programming Services"
        }
      ],
      "location": {
        "city": "Boston",
        "state": "Massachusetts",
        "country": "United States",
        "countryIso2": "US",
        "continent": "North America",
        "zipCode": "02199"
      },
      "additionalLocations": [
        {
          "city": "New York City",
          "state": "New York",
          "country": "United States",
          "countryIso2": "US",
          "continent": "North America"
        }
      ],
      "socialLinks": {
        "linkedin": "https://www.linkedin.com/company/lushadata",
        "facebook": "https://www.facebook.com/lusha",
        "x": "https://x.com/lusha",
        "instagram": [
          "https://www.instagram.com/lusha"
        ],
        "youtube": [
          "https://www.youtube.com/c/lushadata"
        ],
        "tiktok": [
          "https://www.tiktok.com/@lusha"
        ]
      },
      "linkedinFollowers": 64339,
      "funding": {
        "rounds": [
          {
            "currency": "USD",
            "roundAmount": 205000000,
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}

Overview

Resources

Endpoints

Enrich Companies

Authorizations

Body

Response