LinkedIn Profile Position Skills API
Scrape LinkedIn Profile Position Skills data with one API call. Returns career positions together with the skills listed on each role. `/v1/linkedin/profile/experiences` is the role list without per-role skills; `/v1/linkedin/profile/skills` is the flat skill list.
Last updated October 2026Maintained by the SocialCrawl team
Returns a member's positions with the skills listed on each role.
Use it when you need skills per job. profile/experiences is the role list; profile/skills is the flat list.
Searching 68 platforms in parallel
What can you do with the Profile Position Skills API?
The Profile Position Skills endpoint gives you structured LinkedIn 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/linkedin/profile/position-skills?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Ftedgaubert%2F"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/linkedin/profile/position-skills",
params={
'url': 'https://www.linkedin.com/in/tedgaubert/',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/linkedin/profile/position-skills?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Ftedgaubert%2F",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| url | Yes | Full URL of the LinkedIn profile. |
What does the LinkedIn Profile Position Skills 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/profile/position-skills",
"data": {
"items": [
{
"companyId": 68698403,
"companyName": "Graphite Health",
"companyUsername": "user_8fc73b",
"companyURL": "https://www.linkedin.com/company/68698403/",
"companyLogo": [
{
"url": "https://media.licdn.com/dms/image/v2/D4E0BAQG48giIgmgtSg/company-logo_200_200/company-logo_200_200/0/1680299685723/graphite_health_logo?e=1792627200&v=beta&t=T3SjevD1WJj3JuEc9qXd7SV41ubegiSn_BKGBrA7el0",
"width": 200,
"height": 200
},
{
"url": "https://media.licdn.com/dms/image/v2/D4E0BAQG48giIgmgtSg/company-logo_100_100/company-logo_100_100/0/1680299685723/graphite_health_logo?e=1792627200&v=beta&t=V0nSgdjF1UH-TgoK-R_4BpehkuotFS5i3RZRdsmntiE",
"width": 100,
"height": 100
}
],
"title": "Sample comment text (redacted).",
"location": "",
"locationType": "",
"description": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"employmentType": "Full-time",
"skills": [
"Software Development",
"Artificial Intelligence"
],
"linkedinHelpedGetJob": false,
"start": {
"year": 2021,
"month": 1,
"day": 0
},
"end": {
"year": 0,
"month": 0,
"day": 0
}
},
{
"companyId": 2385,
"companyName": "Dun & Bradstreet",
"companyUsername": "user_23cd82",
"companyURL": "https://www.linkedin.com/company/2385/",
"companyLogo": [
{
"url": "https://media.licdn.com/dms/image/v2/D4E0BAQHlVerw9jUZmg/company-logo_200_200/company-logo_200_200/0/1688672958148/dun__bradstreet_logo?e=1792627200&v=beta&t=eJK9oLciwaw1zpXyS0mD-UIn4GSAG8yGm4m0Rw9Ukms",
"width": 200,
"height": 200
},
{
"url": "https://media.licdn.com/dms/image/v2/D4E0BAQHlVerw9jUZmg/company-logo_100_100/company-logo_100_100/0/1688672958148/dun__bradstreet_logo?e=1792627200&v=beta&t=Rm2AWK4W3bjPdTHNeaZD3CXakeWqpVctTMJKmC9uS0w",
"width": 100,
"height": 100
}
],
"title": "Sample comment text (redacted).",
"location": "San Francisco Bay Area",
"locationType": "",
"description": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"employmentType": "Full-time",
"skills": [
"Software Development",
"Data Analysis"
],
"linkedinHelpedGetJob": false,
"start": {
"year": 2020,
"month": 1,
"day": 0
},
"end": {
"year": 2021,
"month": 1,
"day": 0
}
}
],
"dropped": 0
},
"credits_used": 5,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": null,
"has_more": false,
"page_size": 7
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T15:38:40.334Z",
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the LinkedIn Profile Position Skills 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
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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 LinkedIn Profile Position Skills data?
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