Install
openclaw skills install linkedin-apiLinkedIn API integration with managed OAuth. Share posts, manage profile, run ads, and access LinkedIn features. Use this skill when users want to share content on LinkedIn, manage ad campaigns, get profile/organization information, or interact with LinkedIn's platform. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Requires network access and valid Maton API key.
openclaw skills install linkedin-apiAccess the LinkedIn API with managed OAuth authentication. Share posts, manage advertising campaigns, retrieve profile and organization information, upload media, and access the Ad Library.
# Get current user profile
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/linkedin/rest/me')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('LinkedIn-Version', '202506')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
https://api.maton.ai/linkedin/rest/{resource}
Maton proxies requests to api.linkedin.com and automatically injects your OAuth token.
All requests require the Maton API key in the Authorization header:
Authorization: Bearer $MATON_API_KEY
Environment Variable: Set your API key as MATON_API_KEY:
export MATON_API_KEY="YOUR_API_KEY"
LinkedIn REST API requires the version header:
LinkedIn-Version: 202506
Manage your LinkedIn OAuth connections at https://api.maton.ai.
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections?app=linkedin&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'linkedin'}).encode()
req = urllib.request.Request('https://api.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
Response:
{
"connection": {
"connection_id": "{connection_id}",
"status": "ACTIVE",
"creation_time": "2026-02-07T08:00:24.372659Z",
"last_updated_time": "2026-02-07T08:05:16.609085Z",
"url": "https://connect.maton.ai/?session_token=...",
"app": "linkedin",
"metadata": {}
}
}
Open the returned url in a browser to complete OAuth authorization.
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}', method='DELETE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
If you have multiple LinkedIn connections, specify which one to use with the Maton-Connection header:
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/linkedin/rest/me')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('LinkedIn-Version', '202506')
req.add_header('Maton-Connection', '{connection_id}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
If you have multiple connections, always include this header to ensure requests go to the intended account.
GET /linkedin/rest/me
LinkedIn-Version: 202506
Example:
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/linkedin/rest/me')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('LinkedIn-Version', '202506')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
Response:
{
"firstName": {
"localized": {"en_US": "John"},
"preferredLocale": {"country": "US", "language": "en"}
},
"localizedFirstName": "John",
"lastName": {
"localized": {"en_US": "Doe"},
"preferredLocale": {"country": "US", "language": "en"}
},
"localizedLastName": "Doe",
"id": "yrZCpj2Z12",
"vanityName": "johndoe",
"localizedHeadline": "Software Engineer at Example Corp",
"profilePicture": {
"displayImage": "urn:li:digitalmediaAsset:C4D00AAAAbBCDEFGhiJ"
}
}
POST /linkedin/rest/posts
Content-Type: application/json
LinkedIn-Version: 202506
{
"author": "urn:li:person:{personId}",
"lifecycleState": "PUBLISHED",
"visibility": "PUBLIC",
"commentary": "Hello LinkedIn! This is my first API post.",
"distribution": {
"feedDistribution": "MAIN_FEED"
}
}
Response: 201 Created with x-restli-id header containing the post URN.
POST /linkedin/rest/posts
Content-Type: application/json
LinkedIn-Version: 202506
{
"author": "urn:li:person:{personId}",
"lifecycleState": "PUBLISHED",
"visibility": "PUBLIC",
"commentary": "Check out this great article!",
"distribution": {
"feedDistribution": "MAIN_FEED"
},
"content": {
"article": {
"source": "https://example.com/article",
"title": "Article Title",
"description": "Article description here"
}
}
}
First, initialize the image upload, then upload the image, then create the post.
Step 1: Initialize Image Upload
POST /linkedin/rest/images?action=initializeUpload
Content-Type: application/json
LinkedIn-Version: 202506
{
"initializeUploadRequest": {
"owner": "urn:li:person:{personId}"
}
}
Response:
{
"value": {
"uploadUrlExpiresAt": 1770541529250,
"uploadUrl": "https://www.linkedin.com/dms-uploads/...",
"image": "urn:li:image:D4D10AQH4GJAjaFCkHQ"
}
}
Step 2: Upload Image Binary
PUT {uploadUrl from step 1}
Content-Type: image/png
{binary image data}
Step 3: Create Image Post
POST /linkedin/rest/posts
Content-Type: application/json
LinkedIn-Version: 202506
{
"author": "urn:li:person:{personId}",
"lifecycleState": "PUBLISHED",
"visibility": "PUBLIC",
"commentary": "Check out this image!",
"distribution": {
"feedDistribution": "MAIN_FEED"
},
"content": {
"media": {
"id": "urn:li:image:D4D10AQH4GJAjaFCkHQ",
"title": "Image Title"
}
}
}
| Value | Description |
|---|---|
PUBLIC | Viewable by anyone on LinkedIn |
CONNECTIONS | Viewable by 1st-degree connections only |
| Value | Description |
|---|---|
NONE | Text-only post |
ARTICLE | URL/article share |
IMAGE | Image post |
VIDEO | Video post |
The Ad Library API provides access to public advertising data on LinkedIn. These endpoints use the REST API with version headers.
LinkedIn-Version: 202506
GET /linkedin/rest/adLibrary?q=criteria&keyword={keyword}
Query parameters:
keyword (string): Search ad content (multiple keywords use AND logic)advertiser (string): Search by advertiser namecountries (array): Filter by ISO 3166-1 alpha-2 country codesdateRange (object): Filter by served datesstart (integer): Pagination offsetcount (integer): Results per page (max 25)Example - Search ads by keyword:
GET /linkedin/rest/adLibrary?q=criteria&keyword=linkedin
Example - Search ads by advertiser:
GET /linkedin/rest/adLibrary?q=criteria&advertiser=microsoft
Response:
{
"paging": {
"start": 0,
"count": 10,
"total": 11619543,
"links": [...]
},
"elements": [
{
"adUrl": "https://www.linkedin.com/ad-library/detail/...",
"details": {
"advertiser": {...},
"adType": "TEXT_AD",
"targeting": {...},
"statistics": {
"firstImpressionDate": 1704067200000,
"latestImpressionDate": 1706745600000,
"impressionsFrom": 1000,
"impressionsTo": 5000
}
},
"isRestricted": false
}
]
}
GET /linkedin/rest/jobLibrary?q=criteria&keyword={keyword}
Note: Job Library requires version 202506.
Query parameters:
keyword (string): Search job contentorganization (string): Filter by company namecountries (array): Filter by country codesdateRange (object): Filter by posting datesstart (integer): Pagination offsetcount (integer): Results per page (max 24)Example:
GET /linkedin/rest/jobLibrary?q=criteria&keyword=software&organization=google
Response includes:
jobPostingUrl: Link to job listingjobDetails: Title, location, description, salary, benefitsstatistics: Impression dataThe Marketing API provides access to LinkedIn's advertising platform. These endpoints use the versioned REST API.
Ad Account Allowlist: If you receive a 403 Forbidden error when creating campaigns with the message "Your application is not configured to access the related advertiser account(s)", your ad account ID needs to be added to Maton's allowlist. Contact support@maton.ai with your ad account ID to request access.
LinkedIn-Version: 202506
GET /linkedin/rest/adAccounts?q=search
Returns all ad accounts accessible by the authenticated user.
Response:
{
"paging": {
"start": 0,
"count": 10,
"links": []
},
"elements": [
{
"id": 123456789,
"name": "My Ad Account",
"status": "ACTIVE",
"type": "BUSINESS",
"currency": "USD",
"reference": "urn:li:organization:12345"
}
]
}
GET /linkedin/rest/adAccounts/{adAccountId}
POST /linkedin/rest/adAccounts
Content-Type: application/json
{
"name": "New Ad Account",
"currency": "USD",
"reference": "urn:li:organization:{orgId}",
"type": "BUSINESS"
}
POST /linkedin/rest/adAccounts/{adAccountId}
Content-Type: application/json
X-RestLi-Method: PARTIAL_UPDATE
{
"patch": {
"$set": {
"name": "Updated Account Name"
}
}
}
Campaign groups are nested under ad accounts:
GET /linkedin/rest/adAccounts/{adAccountId}/adCampaignGroups
POST /linkedin/rest/adAccounts/{adAccountId}/adCampaignGroups
Content-Type: application/json
{
"name": "Q1 2026 Campaigns",
"status": "DRAFT",
"runSchedule": {
"start": 1704067200000,
"end": 1711929600000
},
"totalBudget": {
"amount": "10000",
"currencyCode": "USD"
}
}
GET /linkedin/rest/adAccounts/{adAccountId}/adCampaignGroups/{campaignGroupId}
POST /linkedin/rest/adAccounts/{adAccountId}/adCampaignGroups/{campaignGroupId}
Content-Type: application/json
X-RestLi-Method: PARTIAL_UPDATE
{
"patch": {
"$set": {
"status": "ACTIVE"
}
}
}
DELETE /linkedin/rest/adAccounts/{adAccountId}/adCampaignGroups/{campaignGroupId}
Campaigns are also nested under ad accounts:
GET /linkedin/rest/adAccounts/{adAccountId}/adCampaigns
POST /linkedin/rest/adAccounts/{adAccountId}/adCampaigns
Content-Type: application/json
{
"campaignGroup": "urn:li:sponsoredCampaignGroup:123456",
"name": "Brand Awareness Campaign",
"status": "DRAFT",
"type": "SPONSORED_UPDATES",
"objectiveType": "BRAND_AWARENESS",
"dailyBudget": {
"amount": "100",
"currencyCode": "USD"
},
"costType": "CPM",
"unitCost": {
"amount": "5",
"currencyCode": "USD"
},
"locale": {
"country": "US",
"language": "en"
}
}
GET /linkedin/rest/adAccounts/{adAccountId}/adCampaigns/{campaignId}
POST /linkedin/rest/adAccounts/{adAccountId}/adCampaigns/{campaignId}
Content-Type: application/json
X-RestLi-Method: PARTIAL_UPDATE
{
"patch": {
"$set": {
"status": "ACTIVE"
}
}
}
DELETE /linkedin/rest/adAccounts/{adAccountId}/adCampaigns/{campaignId}
| Status | Description |
|---|---|
DRAFT | Campaign is in draft mode |
ACTIVE | Campaign is running |
PAUSED | Campaign is paused |
ARCHIVED | Campaign is archived |
COMPLETED | Campaign has ended |
CANCELED | Campaign was canceled |
| Objective | Description |
|---|---|
BRAND_AWARENESS | Increase brand visibility |
WEBSITE_VISITS | Drive traffic to website |
ENGAGEMENT | Increase post engagement |
VIDEO_VIEWS | Maximize video views |
LEAD_GENERATION | Collect leads via Lead Gen Forms |
WEBSITE_CONVERSIONS | Drive website conversions |
JOB_APPLICANTS | Attract job applications |
Get organizations the authenticated user has access to:
GET /linkedin/rest/organizationAcls?q=roleAssignee
LinkedIn-Version: 202506
Response:
{
"paging": {
"start": 0,
"count": 10,
"total": 2
},
"elements": [
{
"role": "ADMINISTRATOR",
"organization": "urn:li:organization:12345",
"state": "APPROVED"
}
]
}
GET /linkedin/rest/organizations/{organizationId}
LinkedIn-Version: 202506
GET /linkedin/rest/organizations?q=vanityName&vanityName={vanityName}
Example:
GET /linkedin/rest/organizations?q=vanityName&vanityName=microsoft
Response:
{
"elements": [
{
"vanityName": "microsoft",
"localizedName": "Microsoft",
"website": {
"localized": {"en_US": "https://news.microsoft.com/"}
}
}
]
}
GET /linkedin/rest/organizationalEntityShareStatistics?q=organizationalEntity&organizationalEntity={orgUrn}
Example:
GET /linkedin/rest/organizationalEntityShareStatistics?q=organizationalEntity&organizationalEntity=urn:li:organization:12345
GET /linkedin/rest/posts?q=author&author={orgUrn}
Example:
GET /linkedin/rest/posts?q=author&author=urn:li:organization:12345
The REST API provides modern media upload endpoints. All require version header LinkedIn-Version: 202506.
POST /linkedin/rest/images?action=initializeUpload
Content-Type: application/json
LinkedIn-Version: 202506
{
"initializeUploadRequest": {
"owner": "urn:li:person:{personId}"
}
}
Response:
{
"value": {
"uploadUrlExpiresAt": 1770541529250,
"uploadUrl": "https://www.linkedin.com/dms-uploads/...",
"image": "urn:li:image:D4D10AQH4GJAjaFCkHQ"
}
}
Use the uploadUrl to PUT your image binary, then use the image URN in your post.
Video uploads are a 4-step process: initialize, upload binary, finalize, then create the post.
CRITICAL — URL Encoding: The upload URL returned by the initialize step contains URL-encoded characters (e.g.,
%253D) that get corrupted when passed through shell variables orcurl. You MUST use Pythonurllibfor the entire flow — parse the JSON response and use the URL directly in Python without passing it through the shell. This is the only reliable approach.
Complete working example:
python <<'EOF'
import urllib.request, os, json
GATEWAY = 'https://api.maton.ai'
HEADERS = {
'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}',
'Content-Type': 'application/json',
'LinkedIn-Version': '202506',
'X-Restli-Protocol-Version': '2.0.0',
}
# Step 0: Get person ID
req = urllib.request.Request(f'{GATEWAY}/linkedin/rest/me')
for k, v in HEADERS.items(): req.add_header(k, v)
person_id = json.load(urllib.request.urlopen(req))['id']
owner = f'urn:li:person:{person_id}'
# Step 1: Initialize upload (via gateway)
file_path = '/path/to/video.mp4'
file_size = os.path.getsize(file_path)
init_data = json.dumps({
'initializeUploadRequest': {
'owner': owner,
'fileSizeBytes': file_size,
'uploadCaptions': False,
'uploadThumbnail': False,
}
}).encode()
req = urllib.request.Request(f'{GATEWAY}/linkedin/rest/videos?action=initializeUpload', data=init_data, method='POST')
for k, v in HEADERS.items(): req.add_header(k, v)
init_resp = json.load(urllib.request.urlopen(req))
upload_url = init_resp['value']['uploadInstructions'][0]['uploadUrl']
video_urn = init_resp['value']['video']
# Step 2: Upload binary DIRECTLY to LinkedIn's pre-signed URL (NOT through the gateway)
# The upload URL points to www.linkedin.com — it is pre-signed and needs NO Authorization header.
# IMPORTANT: Use the URL exactly as returned by json.load() — do NOT pass it through shell variables.
with open(file_path, 'rb') as f:
video_data = f.read()
upload_req = urllib.request.Request(upload_url, data=video_data, method='PUT')
upload_req.add_header('Content-Type', 'application/octet-stream')
upload_resp = urllib.request.urlopen(upload_req)
etag = upload_resp.headers['etag']
# Step 3: Finalize upload (via gateway)
finalize_data = json.dumps({
'finalizeUploadRequest': {
'video': video_urn,
'uploadToken': '',
'uploadedPartIds': [etag],
}
}).encode()
req = urllib.request.Request(f'{GATEWAY}/linkedin/rest/videos?action=finalizeUpload', data=finalize_data, method='POST')
for k, v in HEADERS.items(): req.add_header(k, v)
urllib.request.urlopen(req)
# Step 4: Create post with video (via gateway)
post_data = json.dumps({
'author': owner,
'lifecycleState': 'PUBLISHED',
'visibility': 'PUBLIC',
'commentary': 'Check out this video!',
'distribution': {'feedDistribution': 'MAIN_FEED'},
'content': {'media': {'id': video_urn}},
}).encode()
req = urllib.request.Request(f'{GATEWAY}/linkedin/rest/posts', data=post_data, method='POST')
for k, v in HEADERS.items(): req.add_header(k, v)
resp = urllib.request.urlopen(req)
print(f'Video post created! {resp.headers.get("location")}')
EOF
How it works:
api.maton.ai/linkedin/...) — Maton injects your OAuth token automatically.www.linkedin.com/dms-uploads/...) — no auth header needed, no gateway.etag from the upload response is required for the finalize step.uploadInstructions — upload each chunk to its respective URL and collect all etags.Video specifications:
POST /linkedin/rest/documents?action=initializeUpload
Content-Type: application/json
LinkedIn-Version: 202506
{
"initializeUploadRequest": {
"owner": "urn:li:person:{personId}"
}
}
Response:
{
"value": {
"uploadUrlExpiresAt": 1770541530896,
"uploadUrl": "https://www.linkedin.com/dms-uploads/...",
"document": "urn:li:document:D4D10AQHr-e30QZCAjQ"
}
}
GET /linkedin/rest/adTargetingFacets
Returns all available targeting facets for ad campaigns (31 facets including employers, degrees, skills, locations, industries, etc.).
Response:
{
"elements": [
{
"facetName": "skills",
"adTargetingFacetUrn": "urn:li:adTargetingFacet:skills",
"entityTypes": ["SKILL"],
"availableEntityFinders": ["AD_TARGETING_FACET", "TYPEAHEAD"]
},
{
"facetName": "industries",
"adTargetingFacetUrn": "urn:li:adTargetingFacet:industries"
}
]
}
Available targeting facets include:
skills - Member skillsindustries - Industry categoriestitles - Job titlesseniorities - Seniority levelsdegrees - Educational degreesschools - Educational institutionsemployers / employersPast - Current/past employerslocations / geoLocations - Geographic targetingcompanySize - Company size rangesgenders - Gender targetingageRanges - Age range targetingTo create posts, you need your LinkedIn person ID. Get it from the /rest/me endpoint:
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/linkedin/rest/me')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('LinkedIn-Version', '202506')
result = json.load(urllib.request.urlopen(req))
print(f"Your person URN: urn:li:person:{result['id']}")
EOF
const personId = 'YOUR_PERSON_ID';
const response = await fetch(
'https://api.maton.ai/linkedin/rest/posts',
{
method: 'POST',
headers: {
'Authorization': `Bearer ${process.env.MATON_API_KEY}`,
'Content-Type': 'application/json',
'LinkedIn-Version': '202506'
},
body: JSON.stringify({
author: `urn:li:person:${personId}`,
lifecycleState: 'PUBLISHED',
visibility: 'PUBLIC',
commentary: 'Hello from the API!',
distribution: {
feedDistribution: 'MAIN_FEED'
}
})
}
);
import os
import requests
person_id = 'YOUR_PERSON_ID'
response = requests.post(
'https://api.maton.ai/linkedin/rest/posts',
headers={
'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}',
'Content-Type': 'application/json',
'LinkedIn-Version': '202506'
},
json={
'author': f'urn:li:person:{person_id}',
'lifecycleState': 'PUBLISHED',
'visibility': 'PUBLIC',
'commentary': 'Hello from the API!',
'distribution': {
'feedDistribution': 'MAIN_FEED'
}
}
)
| Throttle Type | Daily Limit (UTC) |
|---|---|
| Member | 150 requests/day |
| Application | 100,000 requests/day |
The commentary field in posts uses LinkedIn's "Little Text Format". Reserved characters must be escaped with a backslash or the post content will be truncated.
| Character | Escape As |
|---|---|
\ | \\ |
| | `\ |
{ | \{ |
} | \} |
@ | \@ |
[ | \[ |
] | \] |
( | \( |
) | \) |
< | \< |
> | \> |
# | \# |
* | \* |
_ | \_ |
~ | \~ |
{
"commentary": "Hello\\! Check out these bullet points:\\n\\n\\* Point 1\\n\\* Point 2\\n\\* More info \\(details inside\\)"
}
Use Little Text Format syntax for mentions and hashtags:
@[Display Name](urn:li:person:123)@[Company Name](urn:li:organization:456){hashtag|\\#|MyTag}#hashtag (single words only)def escape_linkedin_commentary(text):
"""Escape reserved characters for LinkedIn Little Text Format."""
reserved = ['\\', '|', '{', '}', '@', '[', ']', '(', ')', '<', '>', '#', '*', '_', '~']
for char in reserved:
text = text.replace(char, '\\' + char)
return text
# Usage
commentary = escape_linkedin_commentary("Check this out! Details (inside) #tech")
# Result: "Check this out\\! Details \\(inside\\) \\#tech"
\|{}@[]()<>#*_~) with backslash or content will be truncatedauthor field must use URN format: urn:li:person:{personId}lifecycleState: "PUBLISHED"www.linkedin.com, NOT api.linkedin.com. These are pre-signed URLs that do NOT go through the gateway and do NOT require an Authorization header. You MUST use Python urllib to handle these URLs — do NOT pass them through shell variables or use curl, as the URL contains encoded characters (%253D) that get corrupted by shell expansion.LinkedIn-Version: 202506 header for all REST API calls| Status | Meaning |
|---|---|
| 400 | Missing LinkedIn connection or invalid request |
| 401 | Invalid or missing Maton API key |
| 403 | Insufficient permissions (check OAuth scopes) |
| 404 | Resource not found |
| 422 | Invalid request body or URN format |
| 429 | Rate limited |
| 4xx/5xx | Passthrough error from LinkedIn API |
{
"status": 403,
"serviceErrorCode": 100,
"code": "ACCESS_DENIED",
"message": "Not enough permissions to access resource"
}
MATON_API_KEY environment variable is set:echo $MATON_API_KEY
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
linkedin. For example:https://api.maton.ai/linkedin/rest/mehttps://api.maton.ai/rest/me| Scope | Description |
|---|---|
openid | OpenID Connect authentication |
profile | Read basic profile |
email | Read email address |
w_member_social | Create, modify, and delete posts |