類似企業の検索
curl --request POST \
--url https://api.pubrio.com/companies/lookalikes/search \
--header 'Content-Type: application/json' \
--header 'pubrio-api-key: <api-key>' \
--data '
{
"domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"locations": [
"US",
"SG",
"CN"
],
"exclude_locations": [
"CN",
"US",
"RU",
"CA"
],
"technologies": [
123
],
"categories": [
123
],
"verticals": [
123
],
"vertical_categories": [
123
],
"vertical_sub_categories": [
123
],
"domain": "pubrio.com",
"linkedin_url": "https://www.linkedin.com/company/pubrio",
"employees": [
[
1,
10
],
[
11,
20
],
[
10001
]
],
"founded_dates": [
2018,
2024
],
"revenues": [
0,
100000
],
"job_locations": [
"US",
"SG",
"CN"
],
"job_posted_dates": [
"2025-01-01",
"2025-01-10"
],
"job_titles": [
"sales manager",
"marketing manager"
],
"news_categories": [
"launches"
],
"news_published_dates": [
"2025-01-01",
"2025-01-10"
],
"is_enable_similarity_search": true,
"similarity_score": 0.7,
"per_page": 25,
"page": 1
}
'import requests
url = "https://api.pubrio.com/companies/lookalikes/search"
payload = {
"domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"locations": ["US", "SG", "CN"],
"exclude_locations": ["CN", "US", "RU", "CA"],
"technologies": [123],
"categories": [123],
"verticals": [123],
"vertical_categories": [123],
"vertical_sub_categories": [123],
"domain": "pubrio.com",
"linkedin_url": "https://www.linkedin.com/company/pubrio",
"employees": [[1, 10], [11, 20], [10001]],
"founded_dates": [2018, 2024],
"revenues": [0, 100000],
"job_locations": ["US", "SG", "CN"],
"job_posted_dates": ["2025-01-01", "2025-01-10"],
"job_titles": ["sales manager", "marketing manager"],
"news_categories": ["launches"],
"news_published_dates": ["2025-01-01", "2025-01-10"],
"is_enable_similarity_search": True,
"similarity_score": 0.7,
"per_page": 25,
"page": 1
}
headers = {
"pubrio-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'pubrio-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
domain_search_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
locations: ['US', 'SG', 'CN'],
exclude_locations: ['CN', 'US', 'RU', 'CA'],
technologies: [123],
categories: [123],
verticals: [123],
vertical_categories: [123],
vertical_sub_categories: [123],
domain: 'pubrio.com',
linkedin_url: 'https://www.linkedin.com/company/pubrio',
employees: [[1, 10], [11, 20], [10001]],
founded_dates: [2018, 2024],
revenues: [0, 100000],
job_locations: ['US', 'SG', 'CN'],
job_posted_dates: ['2025-01-01', '2025-01-10'],
job_titles: ['sales manager', 'marketing manager'],
news_categories: ['launches'],
news_published_dates: ['2025-01-01', '2025-01-10'],
is_enable_similarity_search: true,
similarity_score: 0.7,
per_page: 25,
page: 1
})
};
fetch('https://api.pubrio.com/companies/lookalikes/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://api.pubrio.com/companies/lookalikes/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([
'domain_search_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'locations' => [
'US',
'SG',
'CN'
],
'exclude_locations' => [
'CN',
'US',
'RU',
'CA'
],
'technologies' => [
123
],
'categories' => [
123
],
'verticals' => [
123
],
'vertical_categories' => [
123
],
'vertical_sub_categories' => [
123
],
'domain' => 'pubrio.com',
'linkedin_url' => 'https://www.linkedin.com/company/pubrio',
'employees' => [
[
1,
10
],
[
11,
20
],
[
10001
]
],
'founded_dates' => [
2018,
2024
],
'revenues' => [
0,
100000
],
'job_locations' => [
'US',
'SG',
'CN'
],
'job_posted_dates' => [
'2025-01-01',
'2025-01-10'
],
'job_titles' => [
'sales manager',
'marketing manager'
],
'news_categories' => [
'launches'
],
'news_published_dates' => [
'2025-01-01',
'2025-01-10'
],
'is_enable_similarity_search' => true,
'similarity_score' => 0.7,
'per_page' => 25,
'page' => 1
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"pubrio-api-key: <api-key>"
],
]);
$response = curl_exec($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://api.pubrio.com/companies/lookalikes/search"
payload := strings.NewReader("{\n \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("pubrio-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))
}HttpResponse<String> response = Unirest.post("https://api.pubrio.com/companies/lookalikes/search")
.header("pubrio-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.pubrio.com/companies/lookalikes/search")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["pubrio-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\n}"
response = http.request(request)
puts response.read_body{
"data": {
"pagination": {
"page": 1,
"per_page": 25,
"total_entries": 45234700,
"total_pages": 1809388
},
"lookalikes": [
{
"logo_url": "https://buckets.pubrio.com/company-logo/MjI0NDc1OTMxaWxqOXNzbmoxdHdpdHRlci5jb20=.jpg",
"company_name": "Twitter",
"emails": [
"..."
],
"phones": [
"..."
],
"contacts": [
"..."
],
"founded_year": 2006,
"specialties": [
"Software Development"
],
"industry": "Software Development",
"domain": "twitter.com",
"domain_search_id": "61a73da7-2efc-41a5-a252-a8a8df29925a",
"domain_id": 224475931,
"linkedin_company_id": 44005587,
"linkedin_name": "twitter",
"is_company_url_active": true,
"domain_ids": [
224475931,
1758889566,
368242865
],
"company_keywords": [
"realtime information",
"social commerce",
"online shopping",
"classifieds",
"craigslist killers",
"e-commerce",
"killers",
"consumer internet",
"internet",
"information technology",
"edp services",
"technology",
"software development",
"microblogging",
"social networking",
"public conversation",
"user engagement",
"content sharing",
"advertising solutions",
"monetization",
"community building",
"digital wallet",
"ai integration",
"user safety"
],
"company_size": 1500,
"youtube_url": null,
"crunchbase_url": null,
"linkedin_url": "http://www.linkedin.com/company/twitter",
"instagram_url": null,
"facebook_url": "http://facebook.com/twitterinc",
"twitter_url": "https://twitter.com/x",
"github_url": null,
"x_url": null,
"location": "United States",
"company_ranking": null,
"company_url": "http://twitter.com",
"saved_lists": null,
"company_size_printed": "1,500"
},
"..."
]
}
}{
"code": 40001,
"message": "エラーの背景やフィールド単位の情報などを含む追加データオブジェクトです。",
"details": {}
}{
"error": "クライアントはしばらく待ってから再試行することが推奨されます。"
}{
"error": "レスポンスボディには `error` フィールドが含まれ、問題の概要がメッセージとして記載されます。"
}類似オーディエンス
類似企業検索
deprecated
非推奨。 代わりに POST /companies/search/similar を使用してください。リクエストボディは同じで、結果は data.lookalikes に data.pagination オブジェクトとともに返されます。
企業属性とテクノロジー属性に基づいて、指定した企業に類似する企業を検索します。
POST
/
companies
/
lookalikes
/
search
類似企業の検索
curl --request POST \
--url https://api.pubrio.com/companies/lookalikes/search \
--header 'Content-Type: application/json' \
--header 'pubrio-api-key: <api-key>' \
--data '
{
"domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"locations": [
"US",
"SG",
"CN"
],
"exclude_locations": [
"CN",
"US",
"RU",
"CA"
],
"technologies": [
123
],
"categories": [
123
],
"verticals": [
123
],
"vertical_categories": [
123
],
"vertical_sub_categories": [
123
],
"domain": "pubrio.com",
"linkedin_url": "https://www.linkedin.com/company/pubrio",
"employees": [
[
1,
10
],
[
11,
20
],
[
10001
]
],
"founded_dates": [
2018,
2024
],
"revenues": [
0,
100000
],
"job_locations": [
"US",
"SG",
"CN"
],
"job_posted_dates": [
"2025-01-01",
"2025-01-10"
],
"job_titles": [
"sales manager",
"marketing manager"
],
"news_categories": [
"launches"
],
"news_published_dates": [
"2025-01-01",
"2025-01-10"
],
"is_enable_similarity_search": true,
"similarity_score": 0.7,
"per_page": 25,
"page": 1
}
'import requests
url = "https://api.pubrio.com/companies/lookalikes/search"
payload = {
"domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"locations": ["US", "SG", "CN"],
"exclude_locations": ["CN", "US", "RU", "CA"],
"technologies": [123],
"categories": [123],
"verticals": [123],
"vertical_categories": [123],
"vertical_sub_categories": [123],
"domain": "pubrio.com",
"linkedin_url": "https://www.linkedin.com/company/pubrio",
"employees": [[1, 10], [11, 20], [10001]],
"founded_dates": [2018, 2024],
"revenues": [0, 100000],
"job_locations": ["US", "SG", "CN"],
"job_posted_dates": ["2025-01-01", "2025-01-10"],
"job_titles": ["sales manager", "marketing manager"],
"news_categories": ["launches"],
"news_published_dates": ["2025-01-01", "2025-01-10"],
"is_enable_similarity_search": True,
"similarity_score": 0.7,
"per_page": 25,
"page": 1
}
headers = {
"pubrio-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'pubrio-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
domain_search_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
locations: ['US', 'SG', 'CN'],
exclude_locations: ['CN', 'US', 'RU', 'CA'],
technologies: [123],
categories: [123],
verticals: [123],
vertical_categories: [123],
vertical_sub_categories: [123],
domain: 'pubrio.com',
linkedin_url: 'https://www.linkedin.com/company/pubrio',
employees: [[1, 10], [11, 20], [10001]],
founded_dates: [2018, 2024],
revenues: [0, 100000],
job_locations: ['US', 'SG', 'CN'],
job_posted_dates: ['2025-01-01', '2025-01-10'],
job_titles: ['sales manager', 'marketing manager'],
news_categories: ['launches'],
news_published_dates: ['2025-01-01', '2025-01-10'],
is_enable_similarity_search: true,
similarity_score: 0.7,
per_page: 25,
page: 1
})
};
fetch('https://api.pubrio.com/companies/lookalikes/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://api.pubrio.com/companies/lookalikes/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([
'domain_search_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'locations' => [
'US',
'SG',
'CN'
],
'exclude_locations' => [
'CN',
'US',
'RU',
'CA'
],
'technologies' => [
123
],
'categories' => [
123
],
'verticals' => [
123
],
'vertical_categories' => [
123
],
'vertical_sub_categories' => [
123
],
'domain' => 'pubrio.com',
'linkedin_url' => 'https://www.linkedin.com/company/pubrio',
'employees' => [
[
1,
10
],
[
11,
20
],
[
10001
]
],
'founded_dates' => [
2018,
2024
],
'revenues' => [
0,
100000
],
'job_locations' => [
'US',
'SG',
'CN'
],
'job_posted_dates' => [
'2025-01-01',
'2025-01-10'
],
'job_titles' => [
'sales manager',
'marketing manager'
],
'news_categories' => [
'launches'
],
'news_published_dates' => [
'2025-01-01',
'2025-01-10'
],
'is_enable_similarity_search' => true,
'similarity_score' => 0.7,
'per_page' => 25,
'page' => 1
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"pubrio-api-key: <api-key>"
],
]);
$response = curl_exec($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://api.pubrio.com/companies/lookalikes/search"
payload := strings.NewReader("{\n \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("pubrio-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))
}HttpResponse<String> response = Unirest.post("https://api.pubrio.com/companies/lookalikes/search")
.header("pubrio-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.pubrio.com/companies/lookalikes/search")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["pubrio-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\n}"
response = http.request(request)
puts response.read_body{
"data": {
"pagination": {
"page": 1,
"per_page": 25,
"total_entries": 45234700,
"total_pages": 1809388
},
"lookalikes": [
{
"logo_url": "https://buckets.pubrio.com/company-logo/MjI0NDc1OTMxaWxqOXNzbmoxdHdpdHRlci5jb20=.jpg",
"company_name": "Twitter",
"emails": [
"..."
],
"phones": [
"..."
],
"contacts": [
"..."
],
"founded_year": 2006,
"specialties": [
"Software Development"
],
"industry": "Software Development",
"domain": "twitter.com",
"domain_search_id": "61a73da7-2efc-41a5-a252-a8a8df29925a",
"domain_id": 224475931,
"linkedin_company_id": 44005587,
"linkedin_name": "twitter",
"is_company_url_active": true,
"domain_ids": [
224475931,
1758889566,
368242865
],
"company_keywords": [
"realtime information",
"social commerce",
"online shopping",
"classifieds",
"craigslist killers",
"e-commerce",
"killers",
"consumer internet",
"internet",
"information technology",
"edp services",
"technology",
"software development",
"microblogging",
"social networking",
"public conversation",
"user engagement",
"content sharing",
"advertising solutions",
"monetization",
"community building",
"digital wallet",
"ai integration",
"user safety"
],
"company_size": 1500,
"youtube_url": null,
"crunchbase_url": null,
"linkedin_url": "http://www.linkedin.com/company/twitter",
"instagram_url": null,
"facebook_url": "http://facebook.com/twitterinc",
"twitter_url": "https://twitter.com/x",
"github_url": null,
"x_url": null,
"location": "United States",
"company_ranking": null,
"company_url": "http://twitter.com",
"saved_lists": null,
"company_size_printed": "1,500"
},
"..."
]
}
}{
"code": 40001,
"message": "エラーの背景やフィールド単位の情報などを含む追加データオブジェクトです。",
"details": {}
}{
"error": "クライアントはしばらく待ってから再試行することが推奨されます。"
}{
"error": "レスポンスボディには `error` フィールドが含まれ、問題の概要がメッセージとして記載されます。"
}承認
ボディ
application/json
- Domain Search ID
- ドメイン
- LinkedIn URL
企業検索系の処理を紐づけるための一意の識別子です。
ISO 3166-1 alpha-2（CCA2）コードで地域を指定するフィルターです。詳細はフィルタータブの location エンドポイントを参照します。
例:
["US", "SG", "CN"]
ISO 3166-1 alpha-2 コードで、検索結果から除外する地域を指定します。
例:
["CN", "US", "RU", "CA"]
特定のテクノロジーを利用している企業を検索するための tag_id 一覧です。ID はフィルタータブの technology エンドポイントから取得します。is_enable_similarity_search を有効化すると、["Shopify"] のような自由テキスト入力も可能になります。
テクノロジー一覧にある製品名は、その製品と同社の製品に一致します（"Salesforce" は Salesforce Desk や Salesforce Service Cloud にも一致）。似た別製品には一致しません。それ以外のテキストは類似度で一致します。
特定のテクノロジーカテゴリを利用している企業を検索するための category_id 一覧です。is_enable_similarity_search を有効化すると、["CDN"] のような自由テキスト入力も可能になります。
特定の業界・業種セグメントに属する企業を検索するための vertical_id 一覧です。is_enable_similarity_search を有効化すると、["AI"] などの自由テキスト入力が可能です。
特定の業界カテゴリに属する企業を検索するための vertical_category_id の一覧です。フィルターは is_enable_similarity_search に対応しており、有効化すると ["Information Technology"] のような自由テキストから候補 ID を解決できます。
特定の業界サブカテゴリに属する企業を検索するための vertical_sub_category_id の一覧です。is_enable_similarity_search を有効化すると、["Software"] のような自由テキスト入力に基づいて関連 ID を検索できます。
企業ルックアップに使用する会社ドメインです。www.pubrio.com や https://docs.pubrio.com/ のような値が指定された場合、自動的に pubrio.com に正規化されます。
例:
"pubrio.com"
企業の LinkedIn 公式ページを指す完全な URL です。値は http で始まり、linkedin.com/company/ を含んでいる必要があります。
例:
"https://www.linkedin.com/company/pubrio"
企業の従業員数レンジを表します。複数レンジを指定することで、対象となる会社規模の幅を広げられます。詳細は company size エンドポイントを参照します。
例:
[[1, 10], [11, 20], [10001]]
企業の設立年レンジです。最大値には当年が指定可能です。
例:
[2018, 2024]
企業収益の最小値と最大値を表すレンジです。
例:
[0, 100000]
ISO 3166-1 alpha-2（CCA2）コードで地域を指定するフィルターです。詳細はフィルタータブの location エンドポイントを参照します。
例:
["US", "SG", "CN"]
求人の掲載日レンジです。最大値には当日が指定可能です。 日付境界はワークスペースのタイムゾーンに従います。
例:
["2025-01-01", "2025-01-10"]
対象人物に関連する役職名です。完全一致でなくても、類似する役職を含む結果が返されます（例：software engineer で senior software engineer もヒット）。
例:
["sales manager", "marketing manager"]
特定のニュースカテゴリを検索するためのカテゴリスラッグ一覧です。スラッグは news categories エンドポイントから取得します。
例:
["launches"]
ニュースの公開日レンジです。最大値には当日が指定可能です。 日付境界はワークスペースのタイムゾーンに従います。
例:
["2025-01-01", "2025-01-10"]
対応するフィルターで類似度検索を有効にするフラグです。有効化すると、ID ではなく自由テキストを渡しても、内部で類似スコアに基づいて候補を解決できます。
is_enable_similarity_search と併用するスコアしきい値で、業種や技術などのスラッグとユーザー入力の近さを数値で指定します。値が高いほどマッチング条件が厳しくなり、より精度の高い結果に絞り込まれます。
例:
0.7
最終更新日 2026年3月3日