d37bb08edd61

latestOpenAPI 3.0.3Proprietary2026-08-1458146305.2 KB
Prospecting

Prospecting Companies

Search for companies that match your target market using rich filter criteria.

Filter by:

  • Size, revenue range, industry, sub-industry
  • Technologies in use
  • Locations (HQ country, state, city)
  • SIC and NAICS codes
  • Buyer intent topics
  • Signal activity (headcount changes, hiring surges, news events, LinkedIn activity intent)

Use the returned company id values with Enrich Companies to get full firmographic data.

Billing: Charged per result via api_search. If signals are requested, an additional charge applies per matched signal per result.

Persisting to a table: Pass tableId to also persist matching results into an existing table. This is additive — the primary response is unchanged, and a tableWrite object is added showing what happened on the table side. See Companies Tables.

post/v3/companies/prospecting

Request body

tableIdstring

Optional. If provided, results are also persisted to this table. See the Tables API.

Example request

{
  "pagination": {
    "size": 25
  },
  "filters": {
    "companies": {
      "include": {
        "locations": [
          {
            "city": "San Francisco",
            "state": "California",
            "country": "United States",
            "continent": "North America",
            "countryGrouping": "EMEA",
            "region": "California",
            "countryIso2": "US"
          }
        ],
        "sizes": [
          {
            "min": 1,
            "max": 1000
          }
        ],
        "revenues": [
          {
            "min": 1,
            "max": 1000
          }
        ],
        "topicCountThreshold": [
          {
            "min": 1,
            "max": 1000
          }
        ],
        "signals": {
          "types": [
            "headcountIncrease3m",
            "surgeInHiring",
            "linkedinActivityIntent"
          ],
          "filterByDepartment": [
            {
              "department": "Engineering & Technical"
            }
          ],
          "filterByIntentCategory": [
            "Technology"
          ]
        },
        "foundedYear": [
          {
            "min": 1990,
            "max": 2020
          }
        ],
        "businessModel": [
          "B2B",
          "B2G"
        ],
        "companyType": [
          "Public Company",
          "Private Company"
        ],
        "linkedinUrls": [
          "https://www.linkedin.com/company/microsoft"
        ],
        "keywords": [
          "cloud",
          "artificial intelligence"
        ]
      },
      "exclude": {
        "locations": [
          {
            "city": "San Francisco",
            "state": "California",
            "country": "United States",
            "continent": "North America",
            "countryGrouping": "EMEA",
            "region": "California",
            "countryIso2": "US"
          }
        ],
        "sizes": [
          {
            "min": 1,
            "max": 1000
          }
        ],
        "revenues": [
          {
            "min": 1,
            "max": 1000
          }
        ],
        "topicCountThreshold": [
          {
            "min": 1,
            "max": 1000
          }
        ],
        "signals": {
          "types": [
            "headcountIncrease3m",
            "surgeInHiring",
            "linkedinActivityIntent"
          ],
          "filterByDepartment": [
            {
              "department": "Engineering & Technical"
            }
          ],
          "filterByIntentCategory": [
            "Technology"
          ]
        },
        "foundedYear": [
          {
            "min": 1990,
            "max": 2020
          }
        ],
        "businessModel": [
          "B2B",
          "B2G"
        ],
        "companyType": [
          "Public Company",
          "Private Company"
        ],
        "linkedinUrls": [
          "https://www.linkedin.com/company/microsoft"
        ],
        "keywords": [
          "cloud",
          "artificial intelligence"
        ]
      }
    },
    "contacts": {
      "include": {
        "locations": [
          {
            "city": "San Francisco",
            "state": "California",
            "country": "United States",
            "continent": "North America",
            "countryGrouping": "EMEA",
            "region": "California",
            "countryIso2": "US"
          }
        ]
      },
      "exclude": {
        "locations": [
          {
            "city": "San Francisco",
            "state": "California",
            "country": "United States",
            "continent": "North America",
            "countryGrouping": "EMEA",
            "region": "California",
            "countryIso2": "US"
          }
        ]
      }
    }
  },
  "tableId": "583021"
}

Response

Successful response

requestIdstring uuid

Example response

{
  "results": [
    {
      "clientReferenceId": "comp-ref-1",
      "id": "16303253",
      "name": "Lusha",
      "domain": "www.lusha.com",
      "employeeCount": {
        "exact": 364,
        "min": 201,
        "max": 500
      },
      "industry": "Technology, Information & Media",
      "location": {
        "city": "London",
        "state": "England",
        "stateCode": "MA",
        "country": "United Kingdom",
        "countryIso2": "GB",
        "continent": "Europe"
      },
      "socialLinks": {
        "linkedin": "https://www.linkedin.com/company/lushadata"
      },
      "has": [
        "alternativeName",
        "alternativeDomains",
        "description",
        "companyType",
        "yearFounded",
        "subIndustry",
        "specialities",
        "sicCodes",
        "naicsCodes",
        "additionalLocations",
        "linkedinFollowers",
        "popularityTier",
        "logoUrl",
        "employeesByDepartment",
        "employeesByLocation",
        "employeesBySeniority",
        "competitors",
        "businessModel",
        "phones",
        "emails",
        "keywords",
        "socialLinks",
        "estimatedAnnualItSpend",
        "monthlyWebsiteTraffic"
      ],
      "canReveal": [
        {
          "field": "employeesByDepartment",
          "credits": 1
        },
        {
          "field": "employeesByLocation",
          "credits": 1
        },
        {
          "field": "employeesBySeniority",
          "credits": 1
        },
        {
          "field": "competitors",
          "credits": 1
        },
        {
          "field": "intent",
          "credits": 0
        },
        {
          "field": "estimatedAnnualItSpend",
          "credits": 1
        },
        {
          "field": "monthlyWebsiteTraffic",
          "credits": 1
        }
      ],
      "signalTypes": [
        "headcountIncrease3m"
      ],
      "error": {
        "code": "NOT_FOUND",
        "message": "Contact not found"
      }
    }
  ],
  "pagination": {
    "size": 25
  },
  "tableWrite": {
    "tableId": "482910",
    "added": 3,
    "alreadyPresent": 2,
    "rowsProcessed": 5,
    "rowsCharged": 5
  },
  "billing": {
    "creditsCharged": 3,
    "resultsReturned": 1
  }
}