跳转到主要内容
POST
/
companies
/
lookalikes
/
search
搜索相似公司
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,
  "profile_id": 123
}
'
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,
    "profile_id": 123
}
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,
    profile_id: 123
  })
};

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,
    'profile_id' => 123
  ]),
  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  \"profile_id\": 123\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  \"profile_id\": 123\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  \"profile_id\": 123\n}"

response = http.request(request)
puts response.read_body
{
  "data": {
    "pagination": {
      "page": 1,
      "per_page": 25,
      "total_entries": 45234700,
      "total_pages": 1809388
    },
    "companies": [
      {
        "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": "错误及代码会根据不同场景有所不同，详情请参阅文档。",
  "details": {}
}
{
  "error": "请求频率超出限制。请稍后再试。"
}
{
  "error": "服务器在处理请求时遇到了未预料的异常。"
}

授权

​
pubrio-api-key
string
header
必填

一个唯一的 API 令牌，用于标识您通过 API 执行的操作以及相应的权限和操作。您可以在 设置 部分创建该令牌。

请求体

application/json
​
domain_search_id
string<uuid>
必填

用于公司检索操作的唯一标识符。

​
locations
string[]

ISO 3166-1 alpha-2（cca2）用于筛选地区。更多信息请参见筛选器标签下的 location 端点。

示例:
["US", "SG", "CN"]
​
exclude_locations
string[]

ISO 3166-1 alpha-2（cca2）用于筛选不需要返回的地区。更多信息请参见筛选器标签下的 location 端点。

示例:
["CN", "US", "RU", "CA"]
​
technologies
integer[]

tag_id 列表，用于搜索公司所用的特定技术。要获取ID，请调用筛选器标签下的 technology 端点。

该筛选器支持 is_enable_similarity_search，启用后可输入任意自由文本，例如 ["Shopify"]。

​
categories
integer[]

category_id 列表，用于搜索公司所用的特定技术类别。要获取ID，请调用筛选器标签下的 category 端点。

该筛选器支持 is_enable_similarity_search，启用后可输入任意自由文本，例如 ["CDN"]。

​
verticals
integer[]

vertical_id 列表，用于搜索特定垂直行业或领域的公司。要获取ID，请调用筛选器标签下的 vertical 端点。

该筛选器支持 is_enable_similarity_search，启用后可输入任意自由文本，例如 ["AI"]。

​
vertical_categories
integer[]

vertical_category_id 列表，用于搜索特定垂直行业类别的公司。要获取ID，请调用筛选器标签下的 vertical category 端点。

该筛选器支持 is_enable_similarity_search，启用后可输入任意自由文本，例如 ["Information Technology"]。

​
vertical_sub_categories
integer[]

vertical_sub_category_id 列表，用于搜索特定垂直行业子类别的公司。要获取ID，请调用筛选器标签下的 vertical sub category 端点。

该筛选器支持 is_enable_similarity_search，启用后可输入任意自由文本，例如 ["Software"]。

​
domain
string

用于公司检索操作的公司域名。如果收到的地址为 www.pubrio.com 或 https://docs.pubrio.com/，系统会自动转换为 pubrio.com 进行处理。

示例:

"pubrio.com"

​
linkedin_url
string

LinkedIn 公司主页的完整 URL。URL 需以 http 开头且包含 linkedin.com/company/。

示例:

"https://www.linkedin.com/company/pubrio"

​
employees
string[][]

公司员工人数范围。可根据员工总数筛选公司，并可添加多个范围以扩展搜索结果。

更多信息请参见筛选器标签下的 company size 端点。

示例:
[[1, 10], [11, 20], [10001]]
​
founded_dates
integer[]

公司成立年份范围。最大值为当前年份。

示例:
[2018, 2024]
​
revenues
integer[]

公司收入的最小值和最大值范围。

示例:
[0, 100000]
​
job_locations
string[]

ISO 3166-1 alpha-2（cca2）用于筛选地区。更多信息请参见筛选器标签下的 location 端点。

示例:
["US", "SG", "CN"]
​
job_posted_dates
string[]

发布日期的时间范围。最大值为当天。

示例:
["2025-01-01", "2025-01-10"]
​
job_titles
string[]

与目标人员相关的职位名称。

结果还将包含包含类似术语的职位，即使不完全匹配。例如，搜索 software engineer 也可能返回职位为 senior software engineer 的人员。

示例:
["sales manager", "marketing manager"]
​
news_categories
string[]

category slugs 列表，用于搜索特定新闻类别。要获取 slug，请调用筛选器标签下的 news categories 端点。

示例:
["launches"]
​
news_published_dates
string[]

发布时间的时间范围。最大值为当天。

示例:
["2025-01-01", "2025-01-10"]
​
is_enable_similarity_search
boolean

启用后，上述支持相似度搜索的筛选器可直接填写自由文本以检索特定ID。

​
similarity_score
number<float>

需与 is_enable_similarity_search 配合使用。该数值用于分析特定 slug（如行业、技术）与用户输入的相似程度，数值越高，匹配越严格。

示例:

0.7

​
per_page
integer

每页应返回的搜索结果数量。限制每页结果数量可提升接口性能。

示例:

25

​
page
integer

要检索的数据页码。

示例:

1

​
profile_id
integer

可选。发起请求的团队标识符。由于 API 密钥已包含您的工作区信息，此参数不再是必填项。如果提供，该 ID 有助于将查找与特定团队（工作区）关联，实现数据检索和额度追踪。

更多信息请参见团队标签下的 user details 端点。

响应

包含相关详细信息的成功响应。

​
data
object | null

响应信息取决于具体接口。