LinkedIn similar and affiliated pages
GET https://api.api.sh/linkedin/v1/company/similar
The pages a LinkedIn company page lists as similar and its affiliated pages (subsidiaries, showcase pages): name, link, kind (company, showcase, school), slug, industry, location and logo, with the counts.
Every response includes credits_used: the credits this call cost.
Parameters
| name | type | description |
|---|---|---|
urlrequired | string | Company link (linkedin.com/company/<slug>) or slug. Example: microsoft |
Every endpoint also takes fresh, raw, fields (see lean responses and caching).
Example
curl "https://api.api.sh/linkedin/v1/company/similar?url=microsoft" \
-H "x-api-key: $APISH_KEY" import os, requests
res = requests.get(
"https://api.api.sh/linkedin/v1/company/similar",
params={"url": "microsoft"},
headers={"x-api-key": os.environ["APISH_KEY"]},
timeout=120,
)
res.raise_for_status()
data = res.json() const url = new URL("https://api.api.sh/linkedin/v1/company/similar");
url.searchParams.set("url", "microsoft");
const res = await fetch(url, { headers: { "x-api-key": process.env.APISH_KEY } });
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const data = await res.json(); Response
A JSON object with the fields described above, plus raw (the source's own data), cached, fetched_at and credits_used. Errors return {"success": false, "error": "…"} with the HTTP status (see errors). A lookup that ran but found nothing (404) costs the price above; refused calls and errors on our side are free (what's charged).
Example response (real call, trimmed: lists cut to 2 items, long text shortened, raw left out)
{"company": "Microsoft","url": "https://www.linkedin.com/company/microsoft","similar_count": 10,"similar_pages": [{"name": "Google","url": "https://www.linkedin.com/company/google","kind": "company","slug": "google","industry": "Software Development","location": "Mountain View, CA","logo": "https://media.licdn.com/dms/image/v2/D4E0BAQGv3cqOuUMY7g/company-logo_100_100/B4EZmhegXHGcAU-/0/1759350753990/google_logo?e=2147483647&v=bet…"},{"name": "Amazon","url": "https://www.linkedin.com/company/amazon","kind": "company","slug": "amazon","industry": "Software Development","location": null,"logo": "https://media.licdn.com/dms/image/v2/D560BAQGDLy4STCnHbg/company-logo_100_100/B56ZnZxDipI0AQ-/0/1760295142304/amazon_logo?e=2147483647&v=bet…"},"… 8 more"],"affiliated_count": 52,"affiliated_pages": [{"name": "GitHub","url": "https://www.linkedin.com/company/github","kind": "company","slug": "github","industry": "Software Development","location": "San Francisco, CA","logo": "https://media.licdn.com/dms/image/v2/D560BAQGxQRyEwD643g/company-logo_100_100/B56Z3045ErGgAQ-/0/1777930048179/github_logo?e=2147483647&v=bet…"},{"name": "Microsoft Learn","url": "https://www.linkedin.com/showcase/microsoftlearn/","kind": "showcase","slug": "microsoftlearn","industry": "IT Services and IT Consulting","location": "Redmond, Washington","logo": "https://media.licdn.com/dms/image/v2/D4E0BAQHgSFh_G4-OUQ/company-logo_100_100/B4EZ7Vy.5ZIAAQ-/0/1781703372677/microsoftlearn_logo?e=21474836…"},"… 50 more"],"cached": false,"credits_used": 1}The fastest way to see the full response is the playground: it runs this endpoint with your account and shows the exact JSON.