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POST
/
expansions
/
search
扩张搜索
curl --request POST \
  --url https://api.pubrio.com/expansions/search \
  --header 'Content-Type: application/json' \
  --header 'pubrio-api-key: <api-key>' \
  --data '
{
  "froms": [
    "US",
    "GB"
  ],
  "tos": [
    "US",
    "GB"
  ],
  "exclude_froms": [
    "US",
    "GB"
  ],
  "exclude_tos": [
    "US",
    "GB"
  ],
  "stages": [
    "committing",
    "expanding"
  ],
  "momentum": [
    "accelerating",
    "advancing"
  ],
  "freshness": [
    "fresh",
    "cooling"
  ],
  "scopes": [
    "entering_new_market"
  ],
  "ahead_of_pace": false,
  "signal_types": [
    "EXEC",
    "HIRE"
  ],
  "signal_strengths": [
    "high",
    "very_high"
  ],
  "min_signal_count": 3,
  "only_contraction": false,
  "min_markets": 3,
  "verticals": [
    123
  ],
  "vertical_categories": [
    123
  ],
  "vertical_sub_categories": [
    123
  ],
  "technologies": [
    123
  ],
  "employees": [
    [
      1,
      10
    ],
    [
      11,
      20
    ],
    [
      10001
    ]
  ],
  "revenues": [
    0,
    100000
  ],
  "founded_dates": [
    2018,
    2024
  ],
  "keywords": [
    "ecommerce",
    "ai",
    "fintech"
  ],
  "companies": [
    "stripe.com",
    "https://www.linkedin.com/company/airbnb",
    "550e8400-e29b-41d4-a716-446655440000"
  ],
  "job_locations": [
    "US",
    "SG",
    "CN"
  ],
  "job_exclude_locations": [
    "CN",
    "US",
    "RU",
    "CA"
  ],
  "job_posted_dates": [
    "2025-01-01",
    "2025-01-10"
  ],
  "job_titles": [
    "sales manager",
    "marketing manager"
  ],
  "advertisement_target_locations": [
    "TW",
    "AE",
    "NO"
  ],
  "advertisement_exclude_target_locations": [
    "IS",
    "GB",
    "FR",
    "IE",
    "ES"
  ],
  "advertisement_search_terms": [
    "asus"
  ],
  "advertisement_start_dates": [
    "2025-12-25",
    "2025-12-25"
  ],
  "advertisement_end_dates": [
    "2025-12-25",
    "2025-12-25"
  ],
  "news_categories": [
    "launches"
  ],
  "news_published_dates": [
    "2025-01-01",
    "2025-01-10"
  ],
  "transitioned_dates": [
    "2026-04-01",
    "2026-06-29"
  ],
  "window_days": 90,
  "query": "fintech companies expanding into the UK",
  "is_explain_match": true,
  "sort_by": "expansion_score",
  "page": 1,
  "per_page": 25,
  "profile_id": 123
}
'
import requests

url = "https://api.pubrio.com/expansions/search"

payload = {
"froms": ["US", "GB"],
"tos": ["US", "GB"],
"exclude_froms": ["US", "GB"],
"exclude_tos": ["US", "GB"],
"stages": ["committing", "expanding"],
"momentum": ["accelerating", "advancing"],
"freshness": ["fresh", "cooling"],
"scopes": ["entering_new_market"],
"ahead_of_pace": False,
"signal_types": ["EXEC", "HIRE"],
"signal_strengths": ["high", "very_high"],
"min_signal_count": 3,
"only_contraction": False,
"min_markets": 3,
"verticals": [123],
"vertical_categories": [123],
"vertical_sub_categories": [123],
"technologies": [123],
"employees": [[1, 10], [11, 20], [10001]],
"revenues": [0, 100000],
"founded_dates": [2018, 2024],
"keywords": ["ecommerce", "ai", "fintech"],
"companies": ["stripe.com", "https://www.linkedin.com/company/airbnb", "550e8400-e29b-41d4-a716-446655440000"],
"job_locations": ["US", "SG", "CN"],
"job_exclude_locations": ["CN", "US", "RU", "CA"],
"job_posted_dates": ["2025-01-01", "2025-01-10"],
"job_titles": ["sales manager", "marketing manager"],
"advertisement_target_locations": ["TW", "AE", "NO"],
"advertisement_exclude_target_locations": ["IS", "GB", "FR", "IE", "ES"],
"advertisement_search_terms": ["asus"],
"advertisement_start_dates": ["2025-12-25", "2025-12-25"],
"advertisement_end_dates": ["2025-12-25", "2025-12-25"],
"news_categories": ["launches"],
"news_published_dates": ["2025-01-01", "2025-01-10"],
"transitioned_dates": ["2026-04-01", "2026-06-29"],
"window_days": 90,
"query": "fintech companies expanding into the UK",
"is_explain_match": True,
"sort_by": "expansion_score",
"page": 1,
"per_page": 25,
"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({
froms: ['US', 'GB'],
tos: ['US', 'GB'],
exclude_froms: ['US', 'GB'],
exclude_tos: ['US', 'GB'],
stages: ['committing', 'expanding'],
momentum: ['accelerating', 'advancing'],
freshness: ['fresh', 'cooling'],
scopes: ['entering_new_market'],
ahead_of_pace: false,
signal_types: ['EXEC', 'HIRE'],
signal_strengths: ['high', 'very_high'],
min_signal_count: 3,
only_contraction: false,
min_markets: 3,
verticals: [123],
vertical_categories: [123],
vertical_sub_categories: [123],
technologies: [123],
employees: [[1, 10], [11, 20], [10001]],
revenues: [0, 100000],
founded_dates: [2018, 2024],
keywords: ['ecommerce', 'ai', 'fintech'],
companies: [
'stripe.com',
'https://www.linkedin.com/company/airbnb',
'550e8400-e29b-41d4-a716-446655440000'
],
job_locations: ['US', 'SG', 'CN'],
job_exclude_locations: ['CN', 'US', 'RU', 'CA'],
job_posted_dates: ['2025-01-01', '2025-01-10'],
job_titles: ['sales manager', 'marketing manager'],
advertisement_target_locations: ['TW', 'AE', 'NO'],
advertisement_exclude_target_locations: ['IS', 'GB', 'FR', 'IE', 'ES'],
advertisement_search_terms: ['asus'],
advertisement_start_dates: ['2025-12-25', '2025-12-25'],
advertisement_end_dates: ['2025-12-25', '2025-12-25'],
news_categories: ['launches'],
news_published_dates: ['2025-01-01', '2025-01-10'],
transitioned_dates: ['2026-04-01', '2026-06-29'],
window_days: 90,
query: 'fintech companies expanding into the UK',
is_explain_match: true,
sort_by: 'expansion_score',
page: 1,
per_page: 25,
profile_id: 123
})
};

fetch('https://api.pubrio.com/expansions/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/expansions/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([
'froms' => [
'US',
'GB'
],
'tos' => [
'US',
'GB'
],
'exclude_froms' => [
'US',
'GB'
],
'exclude_tos' => [
'US',
'GB'
],
'stages' => [
'committing',
'expanding'
],
'momentum' => [
'accelerating',
'advancing'
],
'freshness' => [
'fresh',
'cooling'
],
'scopes' => [
'entering_new_market'
],
'ahead_of_pace' => false,
'signal_types' => [
'EXEC',
'HIRE'
],
'signal_strengths' => [
'high',
'very_high'
],
'min_signal_count' => 3,
'only_contraction' => false,
'min_markets' => 3,
'verticals' => [
123
],
'vertical_categories' => [
123
],
'vertical_sub_categories' => [
123
],
'technologies' => [
123
],
'employees' => [
[
1,
10
],
[
11,
20
],
[
10001
]
],
'revenues' => [
0,
100000
],
'founded_dates' => [
2018,
2024
],
'keywords' => [
'ecommerce',
'ai',
'fintech'
],
'companies' => [
'stripe.com',
'https://www.linkedin.com/company/airbnb',
'550e8400-e29b-41d4-a716-446655440000'
],
'job_locations' => [
'US',
'SG',
'CN'
],
'job_exclude_locations' => [
'CN',
'US',
'RU',
'CA'
],
'job_posted_dates' => [
'2025-01-01',
'2025-01-10'
],
'job_titles' => [
'sales manager',
'marketing manager'
],
'advertisement_target_locations' => [
'TW',
'AE',
'NO'
],
'advertisement_exclude_target_locations' => [
'IS',
'GB',
'FR',
'IE',
'ES'
],
'advertisement_search_terms' => [
'asus'
],
'advertisement_start_dates' => [
'2025-12-25',
'2025-12-25'
],
'advertisement_end_dates' => [
'2025-12-25',
'2025-12-25'
],
'news_categories' => [
'launches'
],
'news_published_dates' => [
'2025-01-01',
'2025-01-10'
],
'transitioned_dates' => [
'2026-04-01',
'2026-06-29'
],
'window_days' => 90,
'query' => 'fintech companies expanding into the UK',
'is_explain_match' => true,
'sort_by' => 'expansion_score',
'page' => 1,
'per_page' => 25,
'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/expansions/search"

payload := strings.NewReader("{\n \"froms\": [\n \"US\",\n \"GB\"\n ],\n \"tos\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_froms\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_tos\": [\n \"US\",\n \"GB\"\n ],\n \"stages\": [\n \"committing\",\n \"expanding\"\n ],\n \"momentum\": [\n \"accelerating\",\n \"advancing\"\n ],\n \"freshness\": [\n \"fresh\",\n \"cooling\"\n ],\n \"scopes\": [\n \"entering_new_market\"\n ],\n \"ahead_of_pace\": false,\n \"signal_types\": [\n \"EXEC\",\n \"HIRE\"\n ],\n \"signal_strengths\": [\n \"high\",\n \"very_high\"\n ],\n \"min_signal_count\": 3,\n \"only_contraction\": false,\n \"min_markets\": 3,\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"technologies\": [\n 123\n ],\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"keywords\": [\n \"ecommerce\",\n \"ai\",\n \"fintech\"\n ],\n \"companies\": [\n \"stripe.com\",\n \"https://www.linkedin.com/company/airbnb\",\n \"550e8400-e29b-41d4-a716-446655440000\"\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\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 \"advertisement_target_locations\": [\n \"TW\",\n \"AE\",\n \"NO\"\n ],\n \"advertisement_exclude_target_locations\": [\n \"IS\",\n \"GB\",\n \"FR\",\n \"IE\",\n \"ES\"\n ],\n \"advertisement_search_terms\": [\n \"asus\"\n ],\n \"advertisement_start_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"advertisement_end_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"transitioned_dates\": [\n \"2026-04-01\",\n \"2026-06-29\"\n ],\n \"window_days\": 90,\n \"query\": \"fintech companies expanding into the UK\",\n \"is_explain_match\": true,\n \"sort_by\": \"expansion_score\",\n \"page\": 1,\n \"per_page\": 25,\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/expansions/search")
.header("pubrio-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"froms\": [\n \"US\",\n \"GB\"\n ],\n \"tos\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_froms\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_tos\": [\n \"US\",\n \"GB\"\n ],\n \"stages\": [\n \"committing\",\n \"expanding\"\n ],\n \"momentum\": [\n \"accelerating\",\n \"advancing\"\n ],\n \"freshness\": [\n \"fresh\",\n \"cooling\"\n ],\n \"scopes\": [\n \"entering_new_market\"\n ],\n \"ahead_of_pace\": false,\n \"signal_types\": [\n \"EXEC\",\n \"HIRE\"\n ],\n \"signal_strengths\": [\n \"high\",\n \"very_high\"\n ],\n \"min_signal_count\": 3,\n \"only_contraction\": false,\n \"min_markets\": 3,\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"technologies\": [\n 123\n ],\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"keywords\": [\n \"ecommerce\",\n \"ai\",\n \"fintech\"\n ],\n \"companies\": [\n \"stripe.com\",\n \"https://www.linkedin.com/company/airbnb\",\n \"550e8400-e29b-41d4-a716-446655440000\"\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\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 \"advertisement_target_locations\": [\n \"TW\",\n \"AE\",\n \"NO\"\n ],\n \"advertisement_exclude_target_locations\": [\n \"IS\",\n \"GB\",\n \"FR\",\n \"IE\",\n \"ES\"\n ],\n \"advertisement_search_terms\": [\n \"asus\"\n ],\n \"advertisement_start_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"advertisement_end_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"transitioned_dates\": [\n \"2026-04-01\",\n \"2026-06-29\"\n ],\n \"window_days\": 90,\n \"query\": \"fintech companies expanding into the UK\",\n \"is_explain_match\": true,\n \"sort_by\": \"expansion_score\",\n \"page\": 1,\n \"per_page\": 25,\n \"profile_id\": 123\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.pubrio.com/expansions/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 \"froms\": [\n \"US\",\n \"GB\"\n ],\n \"tos\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_froms\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_tos\": [\n \"US\",\n \"GB\"\n ],\n \"stages\": [\n \"committing\",\n \"expanding\"\n ],\n \"momentum\": [\n \"accelerating\",\n \"advancing\"\n ],\n \"freshness\": [\n \"fresh\",\n \"cooling\"\n ],\n \"scopes\": [\n \"entering_new_market\"\n ],\n \"ahead_of_pace\": false,\n \"signal_types\": [\n \"EXEC\",\n \"HIRE\"\n ],\n \"signal_strengths\": [\n \"high\",\n \"very_high\"\n ],\n \"min_signal_count\": 3,\n \"only_contraction\": false,\n \"min_markets\": 3,\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"technologies\": [\n 123\n ],\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"keywords\": [\n \"ecommerce\",\n \"ai\",\n \"fintech\"\n ],\n \"companies\": [\n \"stripe.com\",\n \"https://www.linkedin.com/company/airbnb\",\n \"550e8400-e29b-41d4-a716-446655440000\"\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\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 \"advertisement_target_locations\": [\n \"TW\",\n \"AE\",\n \"NO\"\n ],\n \"advertisement_exclude_target_locations\": [\n \"IS\",\n \"GB\",\n \"FR\",\n \"IE\",\n \"ES\"\n ],\n \"advertisement_search_terms\": [\n \"asus\"\n ],\n \"advertisement_start_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"advertisement_end_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"transitioned_dates\": [\n \"2026-04-01\",\n \"2026-06-29\"\n ],\n \"window_days\": 90,\n \"query\": \"fintech companies expanding into the UK\",\n \"is_explain_match\": true,\n \"sort_by\": \"expansion_score\",\n \"page\": 1,\n \"per_page\": 25,\n \"profile_id\": 123\n}"

response = http.request(request)
puts response.read_body
{
  "metadata": {
    "filters": {
      "tos": [
        "GB"
      ],
      "verticals": [
        "Financial Services"
      ]
    }
  },
  "data": {
    "pagination": {
      "page": 1,
      "per_page": 25,
      "total_entries": 87,
      "total_pages": 4,
      "total_display_pages": 4,
      "is_timeout": false
    },
    "companies": [
      {
        "expansion_id": "6845525",
        "domain_search_id": "550e8400-e29b-41d4-a716-446655440002",
        "country_code": "GB",
        "target_country_code": "GB",
        "domain": "example.com",
        "company_name": "Example Corp",
        "home_country_code": "CN",
        "industry": "Consumer Electronics",
        "founded_year": 2015,
        "employees_count": 320,
        "stage": {
          "slug": "expanding",
          "expansion_score": 0.72,
          "scope": "entering_new_market",
          "direction": "advancing",
          "freshness": "fresh",
          "signal_count": 27
        },
        "presence": {
          "level": "detected",
          "local_people_count": 12,
          "has_known_office": true,
          "matched_rule": "people"
        },
        "read": {
          "code": "ok"
        }
      }
    ]
  }
}

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
froms
string[]

来源市场(ISO 3166-1 alpha-2)。公司从哪些市场向外扩张 —— 即其总部 / 母国。单独使用可查找从这些市场向外扩张的公司;与 tos 组合可指定具体的 来源→目标 走廊。

示例:
["US", "GB"]
tos
string[]

目标市场(ISO 3166-1 alpha-2)。公司正在向哪些市场扩张。单独使用可查找进入这些市场的所有公司;与 froms 组合可指定具体的 来源→目标 走廊。

示例:
["US", "GB"]
exclude_froms
string[]

要排除的来源市场(ISO 3166-1 alpha-2)。

示例:
["US", "GB"]
exclude_tos
string[]

要排除的目标市场(ISO 3166-1 alpha-2)。

示例:
["US", "GB"]
stages
enum<string>[]

筛选至一个或多个扩张阶段。阶段的具体定义请参见 Expansion Signals 知识库。

可用选项:
exploring,
committing,
expanding,
scaling,
established
示例:
["committing", "expanding"]
momentum
enum<string>[]

按扩张动量(在各阶段间的变化轨迹)筛选:accelerating(伴随模式变化的加速前进)、advancing(前进)、steady(平稳)或 pulling_back(后退或收缩)。

可用选项:
accelerating,
advancing,
steady,
pulling_back
示例:
["accelerating", "advancing"]
freshness
enum<string>[]

按证据近期性筛选:fresh(约 30 天)、cooling(约 30–60 天)、stale(约 60–90 天)、cold(超过 90 天)。

可用选项:
fresh,
cooling,
stale,
cold
示例:
["fresh", "cooling"]
scopes
enum<string>[]

按市场进入范围筛选。

可用选项:
entering_new_market,
expanding_within_presence,
established_only
示例:
["entering_new_market"]
ahead_of_pace
boolean

仅限扩张速度快于该市场典型速度的组合。

示例:

false

signal_types
enum<string>[]

筛选到特定的信号类型。

可用选项:
AD,
NEWS,
INFRA,
PARTNER,
EVENT_PLUS,
EXEC,
OFFICE,
HIRE,
SCALE,
PRODUCT
示例:
["EXEC", "HIRE"]
signal_strengths
enum<string>[]

按信号强度区间筛选。

可用选项:
low,
medium,
high,
very_high
示例:
["high", "very_high"]
min_signal_count
integer

公司在该时间窗口内所需的最少扩张信号数量——用于筛选“非常活跃 / 足迹密集”的公司。

示例:

3

only_contraction
boolean

为 true 时,仅返回标记为收缩的扩张记录(正在收缩规模的公司)。

示例:

false

min_markets
integer

公司在该时间窗口内必须进入的新市场最少数量。

示例:

3

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"]

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"]

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]]
revenues
integer[]

公司收入的最小值和最大值范围。

示例:
[0, 100000]
founded_dates
integer[]

公司成立年份范围。最大值为当前年份。

示例:
[2018, 2024]
keywords
string[]

用于按相关性、专业或描述对公司进行关键词筛选的列表。

示例:
["ecommerce", "ai", "fintech"]
companies
string[]

通过 domain_search_id、公司域名或公司社交媒体主页链接的任意组合来指定公司。域名和链接会解析为排名最高的公司。

示例:
[
"stripe.com",
"https://www.linkedin.com/company/airbnb",
"550e8400-e29b-41d4-a716-446655440000"
]
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_exclude_locations
string[]

从职位发布结果中排除的地理位置。

示例:
["CN", "US", "RU", "CA"]
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"]
advertisement_target_locations
string[]

广告的目标地理位置。

示例:
["TW", "AE", "NO"]
advertisement_exclude_target_locations
string[]

从广告定位中排除的地理位置。

示例:
["IS", "GB", "FR", "IE", "ES"]
advertisement_search_terms
string[]

用于在广告内容或标题中搜索的关键词。

示例:
["asus"]
advertisement_start_dates
string<date>[]

用于广告筛选的起始日期范围。

示例:
["2025-12-25", "2025-12-25"]
advertisement_end_dates
string<date>[]

用于广告筛选的结束日期范围。

示例:
["2025-12-25", "2025-12-25"]
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"]
transitioned_dates
string<date>[]

时间线窗口的 ISO 日期范围。默认为最近 90 天。. A natural-language query may also set this from calendar phrases ("this year", "last year", "Q2 2026").

示例:
["2026-04-01", "2026-06-29"]
window_days
integer

可选。滚动时间窗口的天数。在未提供明确的 transitioned_dates 范围时使用;若两者均未提供,则使用默认时间窗口。

示例:

90

query
string

Pubrio 将其解析为扩张与公司筛选条件的自然语言查询。

示例:

"fintech companies expanding into the UK"

is_explain_match
boolean

为每家公司附上其匹配搜索条件原因的 AI 生成说明(基于公司的真实信号)。建议配合自然语言查询使用。 引用的信号数量及批处理规模均随 per_page 变化;高频来源(招聘信息、广告投放)会以窗口期内的数量形式汇总(例如"12 个职位发布"),而非逐条列出。

示例:

true

sort_by
enum<string>

结果排序方式。留空则使用默认排序(按最近变更时间排序)。expansion_score —— 按扩张分数从高到低排序。signal_count —— 按该组合的信号数量从多到少排序。company_ranking —— 按 Pubrio 的整体公司排名排序(数值越小代表越知名),从小到大排列。

可用选项:
expansion_score,
signal_count,
company_ranking
示例:

"expansion_score"

page
integer

要检索的数据页码。

示例:

1

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

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

200 - application/json

在目标市场扩张的公司分页列表。filters 会回显已应用(或自然语言解析)的条件;当 is_explain_match 为 true 时,每家公司都会包含 match_summary

metadata
object

搜索元数据:实际应用的筛选器,以及在请求元数据时的市场汇总(aggregate、地理范围、top origins/destinations/industries、timeline)。

data
object

结果容器(标准搜索信封):公司列表加分页。