LinkedIn Group API
Returns a LinkedIn group's profile: name, description, member count, posting rules, industries, owners, logo and cover images, and its public and active flags.
GET /v1/linkedin/groupLast updated November 2026Maintained by the SocialCrawl team
When to use the LinkedIn Group API
Use it to size up a group and read its rules before pulling its feed with group/posts.
From the API reference
Get LinkedIn group details, normalised to the SocialCrawl schema.
Searching 75 platforms in parallel
What can you do with the Group API?
The Group endpoint gives you structured LinkedIn data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
# GET /v1/linkedin/group: 5 credits per call. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
# --max-time 60: the API's own time limit for this endpoint.
# --retry 3: retries timeouts, 429 and 5xx, honoring Retry-After.
# -o response.json keeps only the final attempt's body.
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 60 --retry 3 -o response.json \
-H "x-api-key: YOUR_API_KEY" \
-H "Idempotency-Key: $IDEMPOTENCY_KEY" \
"https://www.socialcrawl.dev/v1/linkedin/group?group_id=62438" && cat response.json# GET /v1/linkedin/group: 5 credits per call. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
import os
import random
import time
import uuid
import requests
API_KEY = os.environ.get("SOCIALCRAWL_API_KEY", "YOUR_API_KEY")
TIMEOUT_S = 60 # the API's own time limit for this endpoint.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/linkedin/group"
def backoff(attempt):
# Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
return 2 ** attempt * (0.5 + random.random() / 2)
def socialcrawl(params):
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
idempotency_key = str(uuid.uuid4())
for attempt in range(MAX_RETRIES + 1):
try:
res = requests.get(
URL,
params=params,
headers={"x-api-key": API_KEY, "Idempotency-Key": idempotency_key},
timeout=TIMEOUT_S,
)
body = res.json()
except (requests.RequestException, ValueError):
# A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if attempt == MAX_RETRIES:
raise
time.sleep(backoff(attempt))
continue
if body["success"]:
return body
error = body["error"]
# Branch on error["type"], never on the message text.
if error["type"] == "RESOURCE_NOT_FOUND":
return None # refunded: nothing to read
retry_after = res.headers.get("Retry-After")
# SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
permanent = error["type"] == "SERVICE_UNAVAILABLE" and retry_after is None
if not error.get("retryable") or permanent or attempt == MAX_RETRIES:
raise RuntimeError(f"{error['type']}: {error['message']} (request_id {body['request_id']})")
# Retry-After (seconds) wins; otherwise back off.
time.sleep(float(retry_after) if retry_after else backoff(attempt))
params = {
"group_id": "62438",
}
body = socialcrawl(params)
if body is not None:
print(body["data"])// GET /v1/linkedin/group: 5 credits per call. Cache hits are free and failed calls are refunded.
// Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
const API_KEY = process.env.SOCIALCRAWL_API_KEY ?? "YOUR_API_KEY";
const TIMEOUT_MS = 60_000; // the API's own time limit for this endpoint.
const MAX_RETRIES = 3;
type Page = { next_cursor: string | null; has_more: boolean };
type SocialCrawlResponse =
| { success: true; data: any; pagination?: Page; credits_used: number; request_id: string }
| { success: false; error: { type: string; message: string; retryable: boolean }; request_id: string };
const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
// Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
const backoffMs = (attempt: number) => 2 ** attempt * 1000 * (0.5 + Math.random() / 2);
async function socialcrawl(url: URL) {
// One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
const idempotencyKey = crypto.randomUUID();
for (let attempt = 0; ; attempt++) {
let res: Response;
let body: SocialCrawlResponse;
try {
res = await fetch(url, {
headers: {
"x-api-key": API_KEY,
"Idempotency-Key": idempotencyKey,
},
signal: AbortSignal.timeout(TIMEOUT_MS),
});
body = (await res.json()) as SocialCrawlResponse;
} catch (error) {
// A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if (attempt >= MAX_RETRIES) throw error;
await sleep(backoffMs(attempt));
continue;
}
if (body.success) return body;
// Branch on error.type, never on the message text.
if (body.error.type === "RESOURCE_NOT_FOUND") return null; // refunded: nothing to read
const retryAfter = res.headers.get("Retry-After");
// SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
const permanent = body.error.type === "SERVICE_UNAVAILABLE" && retryAfter === null;
if (!body.error.retryable || permanent || attempt >= MAX_RETRIES) {
throw new Error(`${body.error.type}: ${body.error.message} (request_id ${body.request_id})`);
}
// Retry-After (seconds) wins; otherwise back off.
await sleep(retryAfter ? Number(retryAfter) * 1000 : backoffMs(attempt));
}
}
const url = new URL("https://www.socialcrawl.dev/v1/linkedin/group");
url.searchParams.set("group_id", "62438");
const body = await socialcrawl(url);
if (body) console.log(body.data);Parameters
| Parameter | Required | Description |
|---|---|---|
| group_id | Yes | LinkedIn numeric group ID. |
What does the LinkedIn Group API return?
Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.
Example response
{
"success": true,
"platform": "linkedin",
"endpoint": "/v1/linkedin/group",
"data": {
"id": "62438",
"urn": "urn:li:fsd_group:62438",
"name": "Artificial Intelligence and Business Analytics (AIBA) Group",
"member_count": 311713,
"description": "Image a world where humans and AI have evolutionize to the point where resonance of memories is the way to communicate. GenAI meets Mysticism where dreams become reality. This is your group.\nThanks \nAlberto Roldan\nWeb: https://www.linkedin.com/groups/62438",
"rules": "1. No spam. Those who post spam will be blocked.\n2. Discussions must be related to artificial intelligence and business analytics. This includes predicting modeling, data mining, KPIs, new technologies, trends, and visualizations for any industry. The level of discussion should be professional. It is healthy to have different ideas, opinions, and spirited discussions, but civility is a must. \n3. Language must be professional and those who swear will be blocked from posting.\n4. Promotions and Jobs must be related to business analytics. Those who post promotions and jobs that are not related to business analytics will be blocked from posting.",
"is_public": true,
"is_active": true,
"post_approval_enabled": true,
"owners": [
{
"urn": "user_b4c652",
"public_identifier": "user_d44330",
"first_name": "user_827f6e",
"last_name": "user_76c527",
"description": "Sample comment text (redacted).",
"avatar": [
{
"width": 100,
"height": 100,
"url": "https://example.com/user_a5dc63",
"expires_at": 1795046400000
},
{
"width": 400,
"height": 400,
"url": "https://example.com/user_ec52d8",
"expires_at": 1795046400000
}
],
"joined_at": "2008-03-01T18:01:43.000Z"
}
],
"logo": [
{
"width": 24,
"height": 24,
"url": "https://media.licdn.com/dms/image/v2/D4E07AQH9o5uK2j4F2Q/group-logo_image-shrink_24x24/B4EZZJhAUPHkAw-/0/1744990111736?e=1794189600&v=beta&t=JentQN8Q2wTit_VLpCrUmW8hZngWBGWKhkQlF94P-iI",
"expires_at": 1794189600000
},
{
"width": 48,
"height": 48,
"url": "https://media.licdn.com/dms/image/v2/D4E07AQH9o5uK2j4F2Q/group-logo_image-shrink_48x48/B4EZZJhAUPHkAg-/0/1744990111736?e=1794189600&v=beta&t=KrbkRFdWYqIKk1gKxMJmlcfe39v5_10pDyb_NoQ_Fm0",
"expires_at": 1794189600000
}
],
"cover": [
{
"width": 528,
"height": 132,
"url": "https://media.licdn.com/dms/image/v2/D4E07AQHmX0RgA9W9VA/group-heroimage-shrink_1440_360/B4EZZJgZXPG0Aw-/0/1744989951847?e=1794189600&v=beta&t=rT8lrfWLv8i0esZI_foXA5TA-VcvhL5hh9_4inlrk5s",
"expires_at": 1794189600000
},
{
"width": 528,
"height": 132,
"url": "https://media.licdn.com/dms/image/v2/D4E07AQHmX0RgA9W9VA/group-heroimage-shrink_750_198/B4EZZJgZXPG0Ag-/0/1744989951847?e=1794189600&v=beta&t=eZEQ3Kgg_vk9tlDXwfGgV-ZKZhyz_ABxTJC54bPjsTk",
"expires_at": 1794189600000
}
],
"industries": [
"Hospital & Health Care",
"Electrical & Electronic Manufacturing"
],
"created_at": "2008-03-03T17:00:32.000Z"
},
"credits_used": 5,
"request_id": "req_example000000",
"cached": false,
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-11-02T01:01:16.019Z",
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the LinkedIn Group API work?
Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 75 platforms covering 10B+ monthly active users.
One schema, every platform
Query 75 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.
See your data before you code
Visual Data Explorer. Paste any URL, get rich result cards, sortable tables, CSV export.
import requests
response = requests.get(
'https://www.socialcrawl.dev/v1/tiktok/profile',
params={'handle': 'charlidamelio'},
headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usHow do I get LinkedIn group details with an API?
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