LinkedIn

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

{
  "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"
  }
}

{
  "value": {
    "uploadUrlExpiresAt": 1770541529250,
    "uploadUrl": "https://www.linkedin.com/dms-uploads/...",
    "image": "urn:li:image:D4D10AQH4GJAjaFCkHQ"
  }
}

LinkedIn-Version: 202506

{
  "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
    }
  ]
}

LinkedIn-Version: 202506

{
  "paging": {
    "start": 0,
    "count": 10,
    "links": []
  },
  "elements": [
    {
      "id": 123456789,
      "name": "My Ad Account",
      "status": "ACTIVE",
      "type": "BUSINESS",
      "currency": "USD",
      "reference": "urn:li:organization:12345"
    }
  ]
}

{
  "paging": {
    "start": 0,
    "count": 10,
    "total": 2
  },
  "elements": [
    {
      "role": "ADMINISTRATOR",
      "organization": "urn:li:organization:12345",
      "state": "APPROVED"
    }
  ]
}

{
  "elements": [
    {
      "vanityName": "microsoft",
      "localizedName": "Microsoft",
      "website": {
        "localized": {"en_US": "https://news.microsoft.com/"}
      }
    }
  ]
}

{
  "value": {
    "uploadUrlExpiresAt": 1770541529250,
    "uploadUrl": "https://www.linkedin.com/dms-uploads/...",
    "image": "urn:li:image:D4D10AQH4GJAjaFCkHQ"
  }
}

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

{
  "value": {
    "uploadUrlExpiresAt": 1770541530896,
    "uploadUrl": "https://www.linkedin.com/dms-uploads/...",
    "document": "urn:li:document:D4D10AQHr-e30QZCAjQ"
  }
}

{
  "elements": [
    {
      "facetName": "skills",
      "adTargetingFacetUrn": "urn:li:adTargetingFacet:skills",
      "entityTypes": ["SKILL"],
      "availableEntityFinders": ["AD_TARGETING_FACET", "TYPEAHEAD"]
    },
    {
      "facetName": "industries",
      "adTargetingFacetUrn": "urn:li:adTargetingFacet:industries"
    }
  ]
}