Search company
curl --request POST \
--url https://app.fullenrich.com/api/v2/company/search \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"offset": 20,
"limit": 20,
"search_after": "WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=",
"names": [
{
"value": "Microsoft",
"exact_match": true,
"exclude": false
}
],
"domains": [
{
"value": "microsoft.com",
"exact_match": true,
"exclude": false
}
],
"professional_network_ids": [
{
"value": 1234,
"exact_match": true,
"exclude": false
}
],
"professional_network_urls": [
{
"value": "https://www.linkedin.com/company/fullenrich",
"exact_match": true,
"exclude": false
}
],
"keywords": [
{
"value": "innovative and practical products",
"exact_match": false,
"exclude": false
}
],
"specialties": [
{
"value": "AI safety",
"exact_match": false,
"exclude": false
}
],
"technologies": [
{
"value": "Fullenrich",
"exact_match": false,
"exclude": false
}
],
"industries": [
{
"value": "Software Development",
"exact_match": false,
"exclude": false
},
{
"value": "Computer Hardware Manufacturing",
"exact_match": false,
"exclude": false
}
],
"types": [
{
"value": "Public Company",
"exact_match": true,
"exclude": false
}
],
"headquarters_locations": [
{
"value": "San Francisco",
"exact_match": false,
"exclude": false
}
],
"founded_years": [
{
"min": 2015,
"max": 2024,
"exclude": false
}
],
"headcounts": [
{
"min": 100,
"max": 500,
"exclude": false
}
],
"company_ids": [
{
"value": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"exclude": false,
"exact_match": true
}
]
}
'import requests
url = "https://app.fullenrich.com/api/v2/company/search"
payload = {
"offset": 20,
"limit": 20,
"search_after": "WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=",
"names": [
{
"value": "Microsoft",
"exact_match": True,
"exclude": False
}
],
"domains": [
{
"value": "microsoft.com",
"exact_match": True,
"exclude": False
}
],
"professional_network_ids": [
{
"value": 1234,
"exact_match": True,
"exclude": False
}
],
"professional_network_urls": [
{
"value": "https://www.linkedin.com/company/fullenrich",
"exact_match": True,
"exclude": False
}
],
"keywords": [
{
"value": "innovative and practical products",
"exact_match": False,
"exclude": False
}
],
"specialties": [
{
"value": "AI safety",
"exact_match": False,
"exclude": False
}
],
"technologies": [
{
"value": "Fullenrich",
"exact_match": False,
"exclude": False
}
],
"industries": [
{
"value": "Software Development",
"exact_match": False,
"exclude": False
},
{
"value": "Computer Hardware Manufacturing",
"exact_match": False,
"exclude": False
}
],
"types": [
{
"value": "Public Company",
"exact_match": True,
"exclude": False
}
],
"headquarters_locations": [
{
"value": "San Francisco",
"exact_match": False,
"exclude": False
}
],
"founded_years": [
{
"min": 2015,
"max": 2024,
"exclude": False
}
],
"headcounts": [
{
"min": 100,
"max": 500,
"exclude": False
}
],
"company_ids": [
{
"value": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"exclude": False,
"exact_match": True
}
]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
offset: 20,
limit: 20,
search_after: 'WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=',
names: [{value: 'Microsoft', exact_match: true, exclude: false}],
domains: [{value: 'microsoft.com', exact_match: true, exclude: false}],
professional_network_ids: [{value: 1234, exact_match: true, exclude: false}],
professional_network_urls: [
{
value: 'https://www.linkedin.com/company/fullenrich',
exact_match: true,
exclude: false
}
],
keywords: [
{value: 'innovative and practical products', exact_match: false, exclude: false}
],
specialties: [{value: 'AI safety', exact_match: false, exclude: false}],
technologies: [{value: 'Fullenrich', exact_match: false, exclude: false}],
industries: [
{value: 'Software Development', exact_match: false, exclude: false},
{value: 'Computer Hardware Manufacturing', exact_match: false, exclude: false}
],
types: [{value: 'Public Company', exact_match: true, exclude: false}],
headquarters_locations: [{value: 'San Francisco', exact_match: false, exclude: false}],
founded_years: [{min: 2015, max: 2024, exclude: false}],
headcounts: [{min: 100, max: 500, exclude: false}],
company_ids: [
{
value: 'a1b2c3d4-e5f6-7890-abcd-ef1234567890',
exclude: false,
exact_match: true
}
]
})
};
fetch('https://app.fullenrich.com/api/v2/company/search', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://app.fullenrich.com/api/v2/company/search",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'offset' => 20,
'limit' => 20,
'search_after' => 'WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=',
'names' => [
[
'value' => 'Microsoft',
'exact_match' => true,
'exclude' => false
]
],
'domains' => [
[
'value' => 'microsoft.com',
'exact_match' => true,
'exclude' => false
]
],
'professional_network_ids' => [
[
'value' => 1234,
'exact_match' => true,
'exclude' => false
]
],
'professional_network_urls' => [
[
'value' => 'https://www.linkedin.com/company/fullenrich',
'exact_match' => true,
'exclude' => false
]
],
'keywords' => [
[
'value' => 'innovative and practical products',
'exact_match' => false,
'exclude' => false
]
],
'specialties' => [
[
'value' => 'AI safety',
'exact_match' => false,
'exclude' => false
]
],
'technologies' => [
[
'value' => 'Fullenrich',
'exact_match' => false,
'exclude' => false
]
],
'industries' => [
[
'value' => 'Software Development',
'exact_match' => false,
'exclude' => false
],
[
'value' => 'Computer Hardware Manufacturing',
'exact_match' => false,
'exclude' => false
]
],
'types' => [
[
'value' => 'Public Company',
'exact_match' => true,
'exclude' => false
]
],
'headquarters_locations' => [
[
'value' => 'San Francisco',
'exact_match' => false,
'exclude' => false
]
],
'founded_years' => [
[
'min' => 2015,
'max' => 2024,
'exclude' => false
]
],
'headcounts' => [
[
'min' => 100,
'max' => 500,
'exclude' => false
]
],
'company_ids' => [
[
'value' => 'a1b2c3d4-e5f6-7890-abcd-ef1234567890',
'exclude' => false,
'exact_match' => true
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://app.fullenrich.com/api/v2/company/search"
payload := strings.NewReader("{\n \"offset\": 20,\n \"limit\": 20,\n \"search_after\": \"WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=\",\n \"names\": [\n {\n \"value\": \"Microsoft\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"domains\": [\n {\n \"value\": \"microsoft.com\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_ids\": [\n {\n \"value\": 1234,\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_urls\": [\n {\n \"value\": \"https://www.linkedin.com/company/fullenrich\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"keywords\": [\n {\n \"value\": \"innovative and practical products\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"specialties\": [\n {\n \"value\": \"AI safety\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"technologies\": [\n {\n \"value\": \"Fullenrich\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"industries\": [\n {\n \"value\": \"Software Development\",\n \"exact_match\": false,\n \"exclude\": false\n },\n {\n \"value\": \"Computer Hardware Manufacturing\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"types\": [\n {\n \"value\": \"Public Company\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"headquarters_locations\": [\n {\n \"value\": \"San Francisco\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"founded_years\": [\n {\n \"min\": 2015,\n \"max\": 2024,\n \"exclude\": false\n }\n ],\n \"headcounts\": [\n {\n \"min\": 100,\n \"max\": 500,\n \"exclude\": false\n }\n ],\n \"company_ids\": [\n {\n \"value\": \"a1b2c3d4-e5f6-7890-abcd-ef1234567890\",\n \"exclude\": false,\n \"exact_match\": true\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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))
}HttpResponse<String> response = Unirest.post("https://app.fullenrich.com/api/v2/company/search")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"offset\": 20,\n \"limit\": 20,\n \"search_after\": \"WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=\",\n \"names\": [\n {\n \"value\": \"Microsoft\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"domains\": [\n {\n \"value\": \"microsoft.com\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_ids\": [\n {\n \"value\": 1234,\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_urls\": [\n {\n \"value\": \"https://www.linkedin.com/company/fullenrich\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"keywords\": [\n {\n \"value\": \"innovative and practical products\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"specialties\": [\n {\n \"value\": \"AI safety\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"technologies\": [\n {\n \"value\": \"Fullenrich\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"industries\": [\n {\n \"value\": \"Software Development\",\n \"exact_match\": false,\n \"exclude\": false\n },\n {\n \"value\": \"Computer Hardware Manufacturing\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"types\": [\n {\n \"value\": \"Public Company\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"headquarters_locations\": [\n {\n \"value\": \"San Francisco\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"founded_years\": [\n {\n \"min\": 2015,\n \"max\": 2024,\n \"exclude\": false\n }\n ],\n \"headcounts\": [\n {\n \"min\": 100,\n \"max\": 500,\n \"exclude\": false\n }\n ],\n \"company_ids\": [\n {\n \"value\": \"a1b2c3d4-e5f6-7890-abcd-ef1234567890\",\n \"exclude\": false,\n \"exact_match\": true\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://app.fullenrich.com/api/v2/company/search")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"offset\": 20,\n \"limit\": 20,\n \"search_after\": \"WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=\",\n \"names\": [\n {\n \"value\": \"Microsoft\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"domains\": [\n {\n \"value\": \"microsoft.com\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_ids\": [\n {\n \"value\": 1234,\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_urls\": [\n {\n \"value\": \"https://www.linkedin.com/company/fullenrich\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"keywords\": [\n {\n \"value\": \"innovative and practical products\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"specialties\": [\n {\n \"value\": \"AI safety\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"technologies\": [\n {\n \"value\": \"Fullenrich\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"industries\": [\n {\n \"value\": \"Software Development\",\n \"exact_match\": false,\n \"exclude\": false\n },\n {\n \"value\": \"Computer Hardware Manufacturing\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"types\": [\n {\n \"value\": \"Public Company\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"headquarters_locations\": [\n {\n \"value\": \"San Francisco\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"founded_years\": [\n {\n \"min\": 2015,\n \"max\": 2024,\n \"exclude\": false\n }\n ],\n \"headcounts\": [\n {\n \"min\": 100,\n \"max\": 500,\n \"exclude\": false\n }\n ],\n \"company_ids\": [\n {\n \"value\": \"a1b2c3d4-e5f6-7890-abcd-ef1234567890\",\n \"exclude\": false,\n \"exact_match\": true\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"companies": [
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"name": "Anthropic",
"domain": "anthropic.com",
"website": "https://www.anthropic.com",
"description": "AI safety and research company building reliable, interpretable, and steerable AI systems.",
"year_founded": 2021,
"headcount": 2610,
"headcount_range": "1001-5000",
"company_type": "Privately Held",
"locations": {
"headquarters": {
"line1": "548 Market St",
"line2": "San Francisco, CA 94105, US",
"city": "San Francisco",
"region": "California",
"country": "United States",
"country_code": "US"
},
"offices": [
{
"line1": "111 8th Ave",
"line2": "New York, NY 10011, US"
}
]
},
"social_profiles": {
"professional_network": {
"id": 1234,
"url": "https://www.linkedin.com/company/anthropic",
"handle": "anthropic",
"connection_count": 125000
}
},
"specialties": [
"artificial intelligence",
"machine learning",
"AI safety"
],
"technologies": [
{
"name": "Fullenrich",
"logo_url": "https://app.fullenrich.com/logo/technologies/id/3uwxkma9y03lj"
}
],
"industry": {
"main_industry": "Software Development"
},
"logo_url": "https://app.fullenrich.com/logo/company/handle/anthropic"
}
],
"metadata": {
"total": 20523,
"credits": 22.5,
"offset": 0,
"search_after": "WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0="
}
}Search
Search Company
Search for companies based on various filters. Multiple filters within the same field are combined with AND logic.
POST
/
company
/
search
Search company
curl --request POST \
--url https://app.fullenrich.com/api/v2/company/search \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"offset": 20,
"limit": 20,
"search_after": "WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=",
"names": [
{
"value": "Microsoft",
"exact_match": true,
"exclude": false
}
],
"domains": [
{
"value": "microsoft.com",
"exact_match": true,
"exclude": false
}
],
"professional_network_ids": [
{
"value": 1234,
"exact_match": true,
"exclude": false
}
],
"professional_network_urls": [
{
"value": "https://www.linkedin.com/company/fullenrich",
"exact_match": true,
"exclude": false
}
],
"keywords": [
{
"value": "innovative and practical products",
"exact_match": false,
"exclude": false
}
],
"specialties": [
{
"value": "AI safety",
"exact_match": false,
"exclude": false
}
],
"technologies": [
{
"value": "Fullenrich",
"exact_match": false,
"exclude": false
}
],
"industries": [
{
"value": "Software Development",
"exact_match": false,
"exclude": false
},
{
"value": "Computer Hardware Manufacturing",
"exact_match": false,
"exclude": false
}
],
"types": [
{
"value": "Public Company",
"exact_match": true,
"exclude": false
}
],
"headquarters_locations": [
{
"value": "San Francisco",
"exact_match": false,
"exclude": false
}
],
"founded_years": [
{
"min": 2015,
"max": 2024,
"exclude": false
}
],
"headcounts": [
{
"min": 100,
"max": 500,
"exclude": false
}
],
"company_ids": [
{
"value": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"exclude": false,
"exact_match": true
}
]
}
'import requests
url = "https://app.fullenrich.com/api/v2/company/search"
payload = {
"offset": 20,
"limit": 20,
"search_after": "WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=",
"names": [
{
"value": "Microsoft",
"exact_match": True,
"exclude": False
}
],
"domains": [
{
"value": "microsoft.com",
"exact_match": True,
"exclude": False
}
],
"professional_network_ids": [
{
"value": 1234,
"exact_match": True,
"exclude": False
}
],
"professional_network_urls": [
{
"value": "https://www.linkedin.com/company/fullenrich",
"exact_match": True,
"exclude": False
}
],
"keywords": [
{
"value": "innovative and practical products",
"exact_match": False,
"exclude": False
}
],
"specialties": [
{
"value": "AI safety",
"exact_match": False,
"exclude": False
}
],
"technologies": [
{
"value": "Fullenrich",
"exact_match": False,
"exclude": False
}
],
"industries": [
{
"value": "Software Development",
"exact_match": False,
"exclude": False
},
{
"value": "Computer Hardware Manufacturing",
"exact_match": False,
"exclude": False
}
],
"types": [
{
"value": "Public Company",
"exact_match": True,
"exclude": False
}
],
"headquarters_locations": [
{
"value": "San Francisco",
"exact_match": False,
"exclude": False
}
],
"founded_years": [
{
"min": 2015,
"max": 2024,
"exclude": False
}
],
"headcounts": [
{
"min": 100,
"max": 500,
"exclude": False
}
],
"company_ids": [
{
"value": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"exclude": False,
"exact_match": True
}
]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
offset: 20,
limit: 20,
search_after: 'WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=',
names: [{value: 'Microsoft', exact_match: true, exclude: false}],
domains: [{value: 'microsoft.com', exact_match: true, exclude: false}],
professional_network_ids: [{value: 1234, exact_match: true, exclude: false}],
professional_network_urls: [
{
value: 'https://www.linkedin.com/company/fullenrich',
exact_match: true,
exclude: false
}
],
keywords: [
{value: 'innovative and practical products', exact_match: false, exclude: false}
],
specialties: [{value: 'AI safety', exact_match: false, exclude: false}],
technologies: [{value: 'Fullenrich', exact_match: false, exclude: false}],
industries: [
{value: 'Software Development', exact_match: false, exclude: false},
{value: 'Computer Hardware Manufacturing', exact_match: false, exclude: false}
],
types: [{value: 'Public Company', exact_match: true, exclude: false}],
headquarters_locations: [{value: 'San Francisco', exact_match: false, exclude: false}],
founded_years: [{min: 2015, max: 2024, exclude: false}],
headcounts: [{min: 100, max: 500, exclude: false}],
company_ids: [
{
value: 'a1b2c3d4-e5f6-7890-abcd-ef1234567890',
exclude: false,
exact_match: true
}
]
})
};
fetch('https://app.fullenrich.com/api/v2/company/search', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://app.fullenrich.com/api/v2/company/search",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'offset' => 20,
'limit' => 20,
'search_after' => 'WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=',
'names' => [
[
'value' => 'Microsoft',
'exact_match' => true,
'exclude' => false
]
],
'domains' => [
[
'value' => 'microsoft.com',
'exact_match' => true,
'exclude' => false
]
],
'professional_network_ids' => [
[
'value' => 1234,
'exact_match' => true,
'exclude' => false
]
],
'professional_network_urls' => [
[
'value' => 'https://www.linkedin.com/company/fullenrich',
'exact_match' => true,
'exclude' => false
]
],
'keywords' => [
[
'value' => 'innovative and practical products',
'exact_match' => false,
'exclude' => false
]
],
'specialties' => [
[
'value' => 'AI safety',
'exact_match' => false,
'exclude' => false
]
],
'technologies' => [
[
'value' => 'Fullenrich',
'exact_match' => false,
'exclude' => false
]
],
'industries' => [
[
'value' => 'Software Development',
'exact_match' => false,
'exclude' => false
],
[
'value' => 'Computer Hardware Manufacturing',
'exact_match' => false,
'exclude' => false
]
],
'types' => [
[
'value' => 'Public Company',
'exact_match' => true,
'exclude' => false
]
],
'headquarters_locations' => [
[
'value' => 'San Francisco',
'exact_match' => false,
'exclude' => false
]
],
'founded_years' => [
[
'min' => 2015,
'max' => 2024,
'exclude' => false
]
],
'headcounts' => [
[
'min' => 100,
'max' => 500,
'exclude' => false
]
],
'company_ids' => [
[
'value' => 'a1b2c3d4-e5f6-7890-abcd-ef1234567890',
'exclude' => false,
'exact_match' => true
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://app.fullenrich.com/api/v2/company/search"
payload := strings.NewReader("{\n \"offset\": 20,\n \"limit\": 20,\n \"search_after\": \"WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=\",\n \"names\": [\n {\n \"value\": \"Microsoft\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"domains\": [\n {\n \"value\": \"microsoft.com\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_ids\": [\n {\n \"value\": 1234,\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_urls\": [\n {\n \"value\": \"https://www.linkedin.com/company/fullenrich\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"keywords\": [\n {\n \"value\": \"innovative and practical products\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"specialties\": [\n {\n \"value\": \"AI safety\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"technologies\": [\n {\n \"value\": \"Fullenrich\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"industries\": [\n {\n \"value\": \"Software Development\",\n \"exact_match\": false,\n \"exclude\": false\n },\n {\n \"value\": \"Computer Hardware Manufacturing\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"types\": [\n {\n \"value\": \"Public Company\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"headquarters_locations\": [\n {\n \"value\": \"San Francisco\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"founded_years\": [\n {\n \"min\": 2015,\n \"max\": 2024,\n \"exclude\": false\n }\n ],\n \"headcounts\": [\n {\n \"min\": 100,\n \"max\": 500,\n \"exclude\": false\n }\n ],\n \"company_ids\": [\n {\n \"value\": \"a1b2c3d4-e5f6-7890-abcd-ef1234567890\",\n \"exclude\": false,\n \"exact_match\": true\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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))
}HttpResponse<String> response = Unirest.post("https://app.fullenrich.com/api/v2/company/search")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"offset\": 20,\n \"limit\": 20,\n \"search_after\": \"WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=\",\n \"names\": [\n {\n \"value\": \"Microsoft\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"domains\": [\n {\n \"value\": \"microsoft.com\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_ids\": [\n {\n \"value\": 1234,\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_urls\": [\n {\n \"value\": \"https://www.linkedin.com/company/fullenrich\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"keywords\": [\n {\n \"value\": \"innovative and practical products\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"specialties\": [\n {\n \"value\": \"AI safety\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"technologies\": [\n {\n \"value\": \"Fullenrich\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"industries\": [\n {\n \"value\": \"Software Development\",\n \"exact_match\": false,\n \"exclude\": false\n },\n {\n \"value\": \"Computer Hardware Manufacturing\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"types\": [\n {\n \"value\": \"Public Company\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"headquarters_locations\": [\n {\n \"value\": \"San Francisco\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"founded_years\": [\n {\n \"min\": 2015,\n \"max\": 2024,\n \"exclude\": false\n }\n ],\n \"headcounts\": [\n {\n \"min\": 100,\n \"max\": 500,\n \"exclude\": false\n }\n ],\n \"company_ids\": [\n {\n \"value\": \"a1b2c3d4-e5f6-7890-abcd-ef1234567890\",\n \"exclude\": false,\n \"exact_match\": true\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://app.fullenrich.com/api/v2/company/search")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"offset\": 20,\n \"limit\": 20,\n \"search_after\": \"WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0=\",\n \"names\": [\n {\n \"value\": \"Microsoft\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"domains\": [\n {\n \"value\": \"microsoft.com\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_ids\": [\n {\n \"value\": 1234,\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"professional_network_urls\": [\n {\n \"value\": \"https://www.linkedin.com/company/fullenrich\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"keywords\": [\n {\n \"value\": \"innovative and practical products\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"specialties\": [\n {\n \"value\": \"AI safety\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"technologies\": [\n {\n \"value\": \"Fullenrich\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"industries\": [\n {\n \"value\": \"Software Development\",\n \"exact_match\": false,\n \"exclude\": false\n },\n {\n \"value\": \"Computer Hardware Manufacturing\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"types\": [\n {\n \"value\": \"Public Company\",\n \"exact_match\": true,\n \"exclude\": false\n }\n ],\n \"headquarters_locations\": [\n {\n \"value\": \"San Francisco\",\n \"exact_match\": false,\n \"exclude\": false\n }\n ],\n \"founded_years\": [\n {\n \"min\": 2015,\n \"max\": 2024,\n \"exclude\": false\n }\n ],\n \"headcounts\": [\n {\n \"min\": 100,\n \"max\": 500,\n \"exclude\": false\n }\n ],\n \"company_ids\": [\n {\n \"value\": \"a1b2c3d4-e5f6-7890-abcd-ef1234567890\",\n \"exclude\": false,\n \"exact_match\": true\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"companies": [
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"name": "Anthropic",
"domain": "anthropic.com",
"website": "https://www.anthropic.com",
"description": "AI safety and research company building reliable, interpretable, and steerable AI systems.",
"year_founded": 2021,
"headcount": 2610,
"headcount_range": "1001-5000",
"company_type": "Privately Held",
"locations": {
"headquarters": {
"line1": "548 Market St",
"line2": "San Francisco, CA 94105, US",
"city": "San Francisco",
"region": "California",
"country": "United States",
"country_code": "US"
},
"offices": [
{
"line1": "111 8th Ave",
"line2": "New York, NY 10011, US"
}
]
},
"social_profiles": {
"professional_network": {
"id": 1234,
"url": "https://www.linkedin.com/company/anthropic",
"handle": "anthropic",
"connection_count": 125000
}
},
"specialties": [
"artificial intelligence",
"machine learning",
"AI safety"
],
"technologies": [
{
"name": "Fullenrich",
"logo_url": "https://app.fullenrich.com/logo/technologies/id/3uwxkma9y03lj"
}
],
"industry": {
"main_industry": "Software Development"
},
"logo_url": "https://app.fullenrich.com/logo/company/handle/anthropic"
}
],
"metadata": {
"total": 20523,
"credits": 22.5,
"offset": 0,
"search_after": "WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0="
}
}The Company Search endpoint allows you to search for companies by size, industry, location, founding year, specialties, and more. It is designed to help you build clean company lists for prospecting, enrichment, or market analysis.
How filters work
If you filter by company industries [“Technology, Information and Internet”, “Financial Services”] and company locations [“France”, “United States”], the API returns results where the company industry is either Technology, Information and Internet or Financial Services, AND the company location is either France or United States.
In other words, a result must satisfy at least one value in every filter category you specify.
Within a category, values act as OR: a result matches if it fits any of the values. Across categories, the logic is AND: a result must match all categories to be returned.
If you want to retrieve one specific company, you can search directly using its professional network URL or domain for an exact match.
Search API pricing
For a full list of supported filters and accepted values (industries, company types, seniority levels, etc.)
Predefined Filter Values
For a full list of supported filters and accepted values (industries, company types, seniority levels, etc.)
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
application/json
Number of companies to skip (use this for pagination). Maximum value is 10,000. To paginate beyond 10,000 results, use search_after instead.
Example:
20
Number of companies to return (default: 10, max: 100)
Example:
20
Cursor-based pagination. Pass the search_after value from the previous response to get the next page. Works at any point in the result set, but is required to access results beyond the 10,000 offset limit. The search_after token does not have any expiration date. However, when the database is updated (every month), if the position of a company changes, the same search_after token might display different results.
Example:
"WzE1LjUzNDU2MywiYjQ5MDBiYmQtOTg5MS01Mzk1LWIyODUtOWEyOGNiZThjOTM3Il0="
Filter by company names. Use exact_match for precise company name matching.
Show child attributes
Show child attributes
Example:
[
{
"value": "Microsoft",
"exact_match": true,
"exclude": false
}
]
Filter by company domains (e.g., 'google.com', 'microsoft.com'). Exact match recommended.
Show child attributes
Show child attributes
Example:
[
{
"value": "microsoft.com",
"exact_match": true,
"exclude": false
}
]
Filter by professional network IDs.
Show child attributes
Show child attributes
Example:
[
{
"value": 1234,
"exact_match": true,
"exclude": false
}
]
Filter by professional network URLs.
Show child attributes
Show child attributes
Example:
[
{
"value": "https://www.linkedin.com/company/fullenrich",
"exact_match": true,
"exclude": false
}
]
Filter by description of company
Show child attributes
Show child attributes
Example:
[
{
"value": "innovative and practical products",
"exact_match": false,
"exclude": false
}
]
Filter by specialties of company
Show child attributes
Show child attributes
Example:
[
{
"value": "AI safety",
"exact_match": false,
"exclude": false
}
]
Filter by technologies used by the company (e.g., 'Notion', 'Fullenrich', 'AWS').
Show child attributes
Show child attributes
Example:
[
{
"value": "Fullenrich",
"exact_match": false,
"exclude": false
}
]
Filter by company industries (e.g., 'Software Development', 'Computer Hardware Manufacturing', 'Housing and Community Development', 'Warehousing', 'Financial Services'). See Industries for the full list.
Show child attributes
Show child attributes
Example:
[
{
"value": "Software Development",
"exact_match": false,
"exclude": false
},
{
"value": "Computer Hardware Manufacturing",
"exact_match": false,
"exclude": false
}
]
Filter by company types (e.g., 'Public Company', 'Privately Held', 'Nonprofit', 'Self-Employed', 'Partnership', 'Educational', 'Government Agency'). See Company Types for the full list.
Show child attributes
Show child attributes
Example:
[
{
"value": "Public Company",
"exact_match": true,
"exclude": false
}
]
Filter by headquarters locations (city names, regions, or countries)
Show child attributes
Show child attributes
Example:
[
{
"value": "San Francisco",
"exact_match": false,
"exclude": false
}
]
Filter by founding years. Useful for targeting startups (recent years) or established companies.
Show child attributes
Show child attributes
Example:
[
{
"min": 2015,
"max": 2024,
"exclude": false
}
]
Filter by company headcounts (number of employees). Use ranges to target specific company sizes (e.g., startups: 1-50, mid-size: 50-500, enterprise: 1000+).
Show child attributes
Show child attributes
Example:
[
{ "min": 100, "max": 500, "exclude": false }
]
Filter by specific company IDs
Show child attributes
Show child attributes
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