V2 Businesses Company Website Keywords Enrich
curl --request POST \
--url https://api.explorium.ai/v2/businesses/company_website_keywords/enrich \
--header 'Content-Type: application/json' \
--header 'api_key: <api-key>' \
--data '
{
"parameters": {
"keywords": [
"<string>"
]
},
"business_ids": "<string>",
"request_context": null
}
'import requests
url = "https://api.explorium.ai/v2/businesses/company_website_keywords/enrich"
payload = {
"parameters": { "keywords": ["<string>"] },
"business_ids": "<string>",
"request_context": None
}
headers = {
"api_key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {api_key: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
parameters: {keywords: ['<string>']},
business_ids: '<string>',
request_context: null
})
};
fetch('https://api.explorium.ai/v2/businesses/company_website_keywords/enrich', 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.explorium.ai/v2/businesses/company_website_keywords/enrich",
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([
'parameters' => [
'keywords' => [
'<string>'
]
],
'business_ids' => '<string>',
'request_context' => null
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"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.explorium.ai/v2/businesses/company_website_keywords/enrich"
payload := strings.NewReader("{\n \"parameters\": {\n \"keywords\": [\n \"<string>\"\n ]\n },\n \"business_ids\": \"<string>\",\n \"request_context\": null\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("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.explorium.ai/v2/businesses/company_website_keywords/enrich")
.header("api_key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"parameters\": {\n \"keywords\": [\n \"<string>\"\n ]\n },\n \"business_ids\": \"<string>\",\n \"request_context\": null\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.explorium.ai/v2/businesses/company_website_keywords/enrich")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["api_key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"parameters\": {\n \"keywords\": [\n \"<string>\"\n ]\n },\n \"business_ids\": \"<string>\",\n \"request_context\": null\n}"
response = http.request(request)
puts response.read_body{
"response_context": {
"correlation_id": "<string>",
"request_status": "success",
"time_taken_in_seconds": 123
},
"data": [
{
"business_id": "<string>",
"data": {
"url": "<string>",
"keywords_indicator": "<string>",
"text_results": [
{}
]
}
}
],
"total_results": 123
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Sync
Company website keywords
POST
/
v2
/
businesses
/
company_website_keywords
/
enrich
V2 Businesses Company Website Keywords Enrich
curl --request POST \
--url https://api.explorium.ai/v2/businesses/company_website_keywords/enrich \
--header 'Content-Type: application/json' \
--header 'api_key: <api-key>' \
--data '
{
"parameters": {
"keywords": [
"<string>"
]
},
"business_ids": "<string>",
"request_context": null
}
'import requests
url = "https://api.explorium.ai/v2/businesses/company_website_keywords/enrich"
payload = {
"parameters": { "keywords": ["<string>"] },
"business_ids": "<string>",
"request_context": None
}
headers = {
"api_key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {api_key: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
parameters: {keywords: ['<string>']},
business_ids: '<string>',
request_context: null
})
};
fetch('https://api.explorium.ai/v2/businesses/company_website_keywords/enrich', 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.explorium.ai/v2/businesses/company_website_keywords/enrich",
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([
'parameters' => [
'keywords' => [
'<string>'
]
],
'business_ids' => '<string>',
'request_context' => null
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"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.explorium.ai/v2/businesses/company_website_keywords/enrich"
payload := strings.NewReader("{\n \"parameters\": {\n \"keywords\": [\n \"<string>\"\n ]\n },\n \"business_ids\": \"<string>\",\n \"request_context\": null\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("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.explorium.ai/v2/businesses/company_website_keywords/enrich")
.header("api_key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"parameters\": {\n \"keywords\": [\n \"<string>\"\n ]\n },\n \"business_ids\": \"<string>\",\n \"request_context\": null\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.explorium.ai/v2/businesses/company_website_keywords/enrich")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["api_key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"parameters\": {\n \"keywords\": [\n \"<string>\"\n ]\n },\n \"business_ids\": \"<string>\",\n \"request_context\": null\n}"
response = http.request(request)
puts response.read_body{
"response_context": {
"correlation_id": "<string>",
"request_status": "success",
"time_taken_in_seconds": 123
},
"data": [
{
"business_id": "<string>",
"data": {
"url": "<string>",
"keywords_indicator": "<string>",
"text_results": [
{}
]
}
}
],
"total_results": 123
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Description
The Keyword Search on Websites Enrichment endpoint enables users to identify keyword occurrences on a company’s website. This dataset is valuable for market researchers, competitive analysts, and SEO strategists looking to analyze content relevance and online presence. The data includes:- Keyword presence detection, confirming whether a term appears on a site.
- Snippet extraction, showcasing relevant text segments containing the keyword.
- Direct URLs to content, allowing for further review and validation.
v2: this endpoint accepts either a single ID (a string) or a list of up to 50 IDs — the separate
/bulk_enrich route is gone. See v2 conventions.How It Works
How It Works
- Input: Provide a
business_idobtained from the Match Businesses API. - Processing: The system scans the target website and retrieves keyword matches.
- Output: A structured response highlighting keyword occurrences, extracted snippets, and URLs.
Best Practices
Best Practices
- Use keyword insights to track industry-specific terminology and brand messaging.
- Analyze keyword frequency to gauge content focus and relevance.
- Leverage snippet extractions for competitor research and content benchmarking.
- Monitor website content to ensure alignment with marketing and SEO strategies.
Keyword Search on Websites Output Signal
Keyword Search on Websites Output Signal
| SignalAPI | Name | Description | Data Type |
|---|---|---|---|
| text_results | Keyword search result | JSON-formatted list of search results, indicating the location of the queried keywords within the snippet. Each result includes a snippet of text containing the keywords, the corresponding URL, and a numeric ranking of where the keyword is positioned within the snippet. | array |
| keywords_indicator | URL has keyword | True if the URL contains the queried keywords. | string |
| url | URL | Website associated with Explorium’s entity ID queried for the input keywords. | url |
Body Params - Try Me Example
business_id: 8adce3ca1cef0c986b22310e369a0793
keywords: iphone, data
Authorizations
APIKeyHeaderAPIKeyHeader
Body
application/json
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