Find post details by URL
Find linkedin post details from a given post URL
curl --location 'https://api.enrich.so/v1/api/post-details?url=https%3A%2F%2Fwww.linkedin.com%2Fposts%2Fmohdumairwigzo_highintentalgo-datasignals-personalizedcommunication-activity-7203313755865141248-uhum%2F%3Futm_source%3Dshare' \
--header 'Authorization: Bearer <token>' \
--header 'Accept: application/json' \
--header 'Content-Type: application/json'const axios = require('axios');
axios.get('https://api.enrich.so/v1/api/post-details?url=https://www.linkedin.com/posts/mohdumairwigzo_highintentalgo-datasignals-personalizedcommunication-activity-7203313755865141248-uhum', {
headers: {accept: 'application/json', Authorization: 'Bearer <token>'}
})
.then(response => {
console.log(response.data);
})
.catch(error => {
console.log(error);
});// Some codeimport requests
import json
url = "https://api.enrich.so/v1/api/post-details?url=https://www.linkedin.com/posts/mohdumairwigzo_highintentalgo-datasignals-personalizedcommunication-activity-7203313755865141248-uhum/?utm_source=share"
payload = {}
headers = {
'Authorization': 'Bearer <token>',
'Accept': 'application/json',
'Content-Type': 'application/json'
}
response = requests.request("GET", url, headers=headers, data=payload)
print(response.text)OkHttpClient client = new OkHttpClient().newBuilder()
.build();
MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "");
Request request = new Request.Builder()
.url("https://api.enrich.so/v1/api/post-details?url=https://www.linkedin.com/posts/mohdumairwigzo_highintentalgo-datasignals-personalizedcommunication-activity-7203313755865141248-uhum/?utm_source=share")
.method("GET", body)
.addHeader("Authorization", "Bearer <token>")
.addHeader("Accept", "application/json")
.addHeader("Content-Type", "application/json")
.build();
Response response = client.newCall(request).execute();require "uri"
require "json"
require "net/http"
url = URI("https://api.enrich.so/v1/api/post-details?url=https://www.linkedin.com/posts/mohdumairwigzo_highintentalgo-datasignals-personalizedcommunication-activity-7203313755865141248-uhum/?utm_source=share")
https = Net::HTTP.new(url.host, url.port)
https.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = "Bearer <token>"
request["Accept"] = "application/json"
request["Content-Type"] = "application/json"
response = https.request(request)
puts response.read_body<?php
$curl = curl_init();
curl_setopt_array($curl, array(
CURLOPT_URL => 'https://api.enrich.so/v1/api/post-details?url=https%3A%2F%2Fwww.linkedin.com%2Fposts%2Fmohdumairwigzo_highintentalgo-datasignals-personalizedcommunication-activity-7203313755865141248-uhum%2F%3Futm_source%3Dshare',
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => '',
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 0,
CURLOPT_FOLLOWLOCATION => true,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => 'GET',
CURLOPT_HTTPHEADER => array(
'Authorization: Bearer <token>',
'Accept: application/json',
'Content-Type: application/json'
),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;
Example response
Status Code: 200 OK
{
"success": true,
"message": "Post details found",
"PostId": "activity-7310932473440342016",
"author": {
"name": "Rahul Lakhaney",
"headline": "Co-Founder, Enrich.so & Maximise.ai | Powering GTM Teams & AI Agents with Real-time People & Company Data",
"linkedin_url": "https://www.linkedin.com/in/lakhaney",
"profile_image": ""
},
"post": {
"timestamp": "02-04-2025",
"text_content": "“𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗼𝗳𝗳𝗲𝗿 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗱𝗮𝘁𝗮 𝗮𝘁 𝘁𝗵𝗲 𝗹𝗼𝘄𝗲𝘀𝘁 𝗽𝗿𝗶𝗰𝗲? 𝗙𝗲𝗲𝗹𝘀 𝗹𝗶𝗸𝗲 𝘆𝗼𝘂 𝗰𝗿𝗮𝗰𝗸𝗲𝗱 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿𝘀 𝗵𝗮𝘃𝗲𝗻’𝘁.”\n\nThat’s the question we get daily.\n\nHere’s the truth: At Enrich Labs we’re obsessively building the world’s largest, most accurate and scalable people and company data ecosystem and even our customers say we’re doing the “IMPOSSIBLE”\n\n“𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝𝙚𝙙 𝙨𝙤 𝙢𝙖𝙣𝙮 𝙩𝙤𝙤𝙡𝙨… 𝙗𝙡𝙤𝙬𝙣 𝙖𝙬𝙖𝙮 𝙗𝙮 𝙮𝙤𝙪𝙧 𝙘𝙤𝙫𝙚𝙧𝙖𝙜𝙚 𝙖𝙣𝙙 𝙖𝙘𝙘𝙪𝙧𝙖𝙘𝙮.”\n\nFrom startups > Y Combinator companies > Fortune 500s, thousands now rely on us to power their ai agents, gtm, sales, investment screening, competitor tracking and much more. Because when you solve a trillion-dollar problem, the world pays attention.\n\nWant to see the future of data?\nDM me and I’ll show you how we’re rewriting the rules.",
"hashtags": null,
"post_media_description": "",
"post_media_url": [
"https://media.licdn.com/dms/image/v2/D4D22AQFI_0wNyNMrXA/feedshare-shrink_1280/B4DZXWmVtoHIAk-/0/1743062131289?e=2147483647&v=beta&t=ItXdy1BowjIeBoJzVi71UqLQzv9zI8JxDWfHwAxOWms"
]
},
"engagement": {
"reactions": 18,
"comments_count": 2
},
"total_credits": 100000,
"credits_used": 12393.650000000012,
"credits_remaining": 87606.34999999999
}Status code: 404 NOT FOUND
{
"error": true,
"message": "We could not find post details for the given url"
}Last updated