Rechercher des entreprises lookalike
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
},
"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": "Errors and codes will vary depending on the scenario, please see the documentation for information.",
"details": {}
}{
"error": "Request rate limit exceeded. Please wait and try again later."
}{
"error": "An unexpected error occurred on the server."
}Similaires
Recherche d'entreprises analogues
deprecated
Obsolète. Utilisez plutôt POST /companies/search/similar — mêmes données, même corps de requête.
Trouvez des entreprises similaires à une entreprise cible spécifiée, sur la base d’attributs firmographiques et technographiques.
POST
/
companies
/
lookalikes
/
search
Rechercher des entreprises lookalike
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
},
"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": "Errors and codes will vary depending on the scenario, please see the documentation for information.",
"details": {}
}{
"error": "Request rate limit exceeded. Please wait and try again later."
}{
"error": "An unexpected error occurred on the server."
}Autorisations
Corps
application/json
- Domain Search ID
- Domain
- LinkedIn URL
Un identifiant unique pour l'opération de recherche d'entreprise.
Le code ISO 3166-1 alpha-2 (cca2) est utilisé pour filtrer les localisations. Consultez les points de terminaison location sous l'onglet Filters pour plus d'informations.
Exemple:
["US", "SG", "CN"]
Le code ISO 3166-1 alpha-2 (cca2) est utilisé pour exclure les localisations qui ne doivent pas être renvoyées. Consultez les points de terminaison location sous l'onglet Filters pour plus d'informations.
Exemple:
["CN", "US", "RU", "CA"]
Une liste de tag_id utilisée pour rechercher des technologies spécifiques utilisées par les entreprises. Pour trouver l'ID, appelez le point de terminaison technology sous l'onglet Filters.
Ce filtre prend en charge is_enable_similarity_search ; une fois activé, vous pouvez saisir n'importe quel texte libre, par ex. ["Shopify"].
Une liste de category_id utilisée pour rechercher des catégories spécifiques de technologies utilisées par les entreprises. Pour trouver l'ID, appelez le point de terminaison category sous l'onglet Filters.
Ce filtre prend en charge is_enable_similarity_search ; une fois activé, vous pouvez saisir n'importe quel texte libre, par ex. ["CDN"].
Une liste de vertical_id utilisée pour rechercher des entreprises dans un secteur ou une verticale spécifique. Pour trouver l'ID, appelez le point de terminaison vertical sous l'onglet Filters.
Ce filtre prend en charge is_enable_similarity_search ; une fois activé, vous pouvez saisir n'importe quel texte libre, par ex. ["AI"].
Une liste de vertical_category_id utilisée pour rechercher des entreprises dans une catégorie verticale spécifique. Pour trouver l'ID, appelez le point de terminaison vertical category sous l'onglet Filters.
Ce filtre prend en charge is_enable_similarity_search ; une fois activé, vous pouvez saisir n'importe quel texte libre, par ex. ["Information Technology"].
Une liste de vertical_sub_category_id utilisée pour rechercher des entreprises dans une sous-catégorie verticale spécifique. Pour trouver l'ID, appelez le point de terminaison vertical sub category sous l'onglet Filters.
Ce filtre prend en charge is_enable_similarity_search ; une fois activé, vous pouvez saisir n'importe quel texte libre, par ex. ["Software"].
Un domaine d'entreprise utilisé pour les opérations de recherche d'entreprises. Si nous recevons une URL telle que www.pubrio.com ou https://docs.pubrio.com/, le système la convertira en pubrio.com pour le traitement.
Exemple:
"pubrio.com"
L'URL complète du profil d'entreprise LinkedIn. L'URL commence par http et contient linkedin.com/company/
Exemple:
"https://www.linkedin.com/company/pubrio"
La plage numérique d'employés travaillant pour l'entreprise. Cela vous permet de trouver des entreprises en fonction de leur effectif. Vous pouvez ajouter plusieurs plages pour élargir vos résultats de recherche.
Consultez les points de terminaison company size sous l'onglet Filters pour plus d'informations.
Exemple:
[[1, 10], [11, 20], [10001]]
Plage d'années de fondation de l'entreprise. La valeur maximale de fondation est l'année en cours.
Exemple:
[2018, 2024]
Plage minimale et maximale du chiffre d'affaires de l'entreprise.
Exemple:
[0, 100000]
Le code ISO 3166-1 alpha-2 (cca2) est utilisé pour filtrer les localisations. Consultez les points de terminaison location sous l'onglet Filters pour plus d'informations.
Exemple:
["US", "SG", "CN"]
Plage de dates de la date de publication. La valeur maximale est le jour en cours. Les limites de journée suivent le fuseau horaire de votre espace de travail.
Exemple:
["2025-01-01", "2025-01-10"]
Intitulés de poste associés aux personnes que vous cherchez à localiser.
Les résultats incluront également les intitulés de poste comportant une terminologie similaire, même s'ils ne correspondent pas exactement. Par exemple, une recherche pour software engineer peut renvoyer des résultats pour des personnes portant le titre senior software engineer.
Exemple:
["sales manager", "marketing manager"]
Liste de category slugs pour rechercher des catégories d'actualités spécifiques. Pour trouver un slug, appelez le point de terminaison news categories sous l'onglet Filters.
Exemple:
["launches"]
Plage de dates de la date de publication. La valeur maximale est le jour en cours. Les limites de journée suivent le fuseau horaire de votre espace de travail.
Exemple:
["2025-01-01", "2025-01-10"]
Lorsqu'activé, les filtres listés ci-dessus qui prennent en charge les recherches par similarité peuvent être remplis avec du texte libre au lieu d'ID spécifiques.
Utilisé conjointement avec is_enable_similarity_search. Ce nombre sert à déterminer si un slug spécifique (par ex. secteur vertical, technologie) est similaire à la saisie de l'utilisateur ; plus le nombre est élevé, plus l'exigence est stricte.
Exemple:
0.7
Enregistrements par page. Par défaut 25, ce qui constitue également le plafond sur la plupart des forfaits — la limite correspond au max_search_per_page de votre abonnement, renvoyé par Profile. Le dépasser renvoie HTTP 416 avec le code 41676 (ou 41613 pour la recherche d'entreprises et de personnes), et non un ensemble de résultats tronqué.
Plage requise:
x <= 25Exemple:
25
Réponse
Réponse réussie contenant les détails de la recherche d'entreprises.
Contexte de la requête. Contient les filters et parameters repris, ainsi qu'un bloc profile avec credit, topup_credit et total_credit_cost — la seule comptabilisation des crédits par appel renvoyée par l'API.
Les informations de réponse dépendent du point de terminaison spécifique.
Dernière modification le 4 septembre 2026