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 cont...
Install via ClawdBot CLI:
clawdbot install byungkyu/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://gateway.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://gateway.maton.ai/linkedin/rest/{resource}
The gateway 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://ctrl.maton.ai.
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://ctrl.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://ctrl.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://ctrl.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": "ba10eb9e-b590-4e95-8c2e-3901ff94642a",
"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://ctrl.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://gateway.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', 'ba10eb9e-b590-4e95-8c2e-3901ff94642a')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
If omitted, the gateway uses the default (oldest) active connection.
GET /linkedin/rest/me
LinkedIn-Version: 202506
Example:
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://gateway.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.
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.
POST /linkedin/rest/videos?action=initializeUpload
Content-Type: application/json
LinkedIn-Version: 202506
{
"initializeUploadRequest": {
"owner": "urn:li:person:{personId}",
"fileSizeBytes": 10000000,
"uploadCaptions": false,
"uploadThumbnail": false
}
}
Response:
{
"value": {
"uploadUrlsExpireAt": 1770541530110,
"video": "urn:li:video:D4D10AQE_p-P_odQhXQ",
"uploadInstructions": [
{"uploadUrl": "https://www.linkedin.com/dms-uploads/..."}
]
}
}
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://gateway.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://gateway.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://gateway.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 |
author field must use URN format: urn:li:person:{personId}lifecycleState: "PUBLISHED"LinkedIn-Version: 202506 header for all REST API callscurl -g when URLs contain brackets to disable glob parsingjq or other commands, environment variables like $MATON_API_KEY may not expand correctly in some shell environments| 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://ctrl.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://gateway.maton.ai/linkedin/rest/mehttps://gateway.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 |
Generated Mar 1, 2026
Marketing teams can automate LinkedIn post sharing to maintain consistent brand presence and engage followers. This skill enables scheduling text posts and article shares, streamlining content distribution without manual intervention.
Individuals or recruiters can programmatically retrieve and update LinkedIn profiles to showcase skills and achievements. This allows for automated profile optimization, helping users stay competitive in job markets.
Businesses can use this skill to manage LinkedIn advertising campaigns, track performance metrics, and adjust budgets in real-time. It supports data-driven decision-making for optimizing ad spend and targeting.
Analysts can gather data on post engagement and audience demographics to generate reports. This helps organizations measure content effectiveness and refine their social media strategies.
Sales teams can automate outreach by sharing targeted posts and retrieving organization information to identify prospects. This skill facilitates building professional networks and generating leads through LinkedIn interactions.
Offer a subscription-based tool that integrates this skill to automate LinkedIn posting, ad management, and analytics for businesses. Revenue comes from monthly or annual fees, with tiered pricing based on usage limits.
Provide managed services using this skill to handle clients' LinkedIn campaigns, including content creation, ad optimization, and performance reporting. Revenue is generated through retainer contracts or project-based fees.
Freelancers can leverage this skill to offer custom integrations for companies needing LinkedIn API access, such as building automated workflows or data pipelines. Revenue comes from hourly rates or fixed project charges.
💬 Integration Tip
Ensure the MATON_API_KEY environment variable is set and use the LinkedIn-Version header for all API calls to avoid errors.
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