Jobs Linkedin API
Scrape Jobs Linkedin data with one API call. Returns one LinkedIn job: title, company, location, employment type, seniority, applicant count, description, and listing URL. Use an id from GET /v1/jobs/linkedin/search.
Last updated September 2026Maintained by the SocialCrawl team
Returns one LinkedIn job listing: title, company, location, employment type, seniority, applicant count, description, and listing URL.
Use it after linkedin/search, passing a job id from that list to read the complete description.
Searching 54 platforms in parallel
What can you do with the Linkedin API?
The Linkedin endpoint gives you structured Jobs data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl -H "x-api-key: YOUR_API_KEY" \
"https://www.socialcrawl.dev/v1/jobs/linkedin?id=4460359588"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/jobs/linkedin",
params={
'id': '4460359588',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/jobs/linkedin?id=4460359588",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| id | Yes | Numeric LinkedIn job id from linkedin/search. |
How does the Jobs Linkedin 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 54 platforms covering 10B+ monthly active users.
One schema, every platform
Query 54 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"
}
}
}Ready to scrape Jobs Linkedin data?
Get your API key and start pulling Jobs data in under 60 seconds.
