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Overview

Extracts structured profile data from LinkedIn URLs. Returns personal information, work history, education, skills, posts, and more. Output can be structured JSON or Markdown depending on your fetch options.

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Request

Send a LinkedIn profile URL to the universal fetch endpoint: 
curl -X POST https://web-acq.wraithbytes.com/api/v1/internet/fetch/ \
  -H "Authorization: Bearer $WRAITHBYTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://www.linkedin.com/in/username"}'
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url
string
required
The LinkedIn profile URL. Supports both full URLs and relative paths.Pattern: /in/username or https://www.linkedin.com/in/username

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Data Extracted

The LinkedIn Profile parser extracts comprehensive professional data including:
  • Personal Details: Name, location, about summary, avatar, and banner images
  • Engagement Metrics: Follower count and number of connections
  • Experience: Detailed chronological work history including companies, roles, dates, and descriptions
  • Education: Academic background including degrees, fields of study, and dates
  • Skills: List of professional skills
  • Content: Recent posts, articles, and activity
  • Accomplishments: Courses, projects, patents, and volunteer work
  • Recommendations: Professional endorsements received from others
  • Similar Profiles: “People also viewed” suggestions

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Response Fields

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name
string
Full name of the profile owner
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location
string
Geographic location
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about
string
Profile about/summary section
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avatar
string
URL to the profile avatar image
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banner_image
string
URL to the profile banner image
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default_avatar
boolean
True if the profile has a default LinkedIn avatar
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memorialized_account
boolean
True if the account is memorialized
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followers
integer
Number of followers
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connections
integer
Number of connections
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recommendations_count
integer
Total number of recommendations received
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posts
array
Recent posts by the user
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experience
array
Array of work experience entries
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education
array
Array of education entries
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courses
array
List of courses
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recommendations
array
Recommendations received
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volunteer_experience
array
Volunteer experience
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patents
array
Patents
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activity
array
Recent activity
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similar_profiles
array
Similar profiles (“People also viewed”)
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bio_links
array
Bio links
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skills
array
Array of skills (strings)
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recommended_courses
array
Recommended courses

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Response Example

{
  "success": true,
  "status": "success",
  "data": {
    "name": "Ethan Evans",
    "location": "Greater Seattle Area",
    "about": "Former Amazon VP, sharing High Performance and Career Growth insights.",
    "avatar": "https://media.licdn.com/dms/image/...",
    "banner_image": "https://media.licdn.com/dms/image/...",
    "default_avatar": false,
    "memorialized_account": false,
    "followers": 164000,
    "connections": 500,
    "recommendations_count": 17,
    "posts": [
      {
        "id": "6611712534565257216",
        "date_posted": "Dec 14, 2019",
        "title": "Cancel Culture in the Future",
        "intro": "Did you know, or have you thought about the fact that...",
        "reactions_count": 39,
        "comments_count": 3
      }
    ],
    "experience": [
      {
        "company": "Amazon",
        "company_url": "https://www.linkedin.com/company/amazon",
        "duration": "15 years 6 months",
        "start_date": "May 2019",
        "end_date": "Mar 2007",
        "positions": [
          {
            "title": "Vice President, Prime Gaming",
            "location": "Greater Seattle Area",
            "start_date": "May 2019",
            "end_date": "Sep 2020",
            "duration_short": "1 year 5 months",
            "description": "I and two peers conceived of Prime Gaming..."
          }
        ]
      }
    ],
    "education": [
      {
        "institution": "University of Washington",
        "degree": "Bachelor of Science",
        "field": "Computer Science",
        "start_year": "1990",
        "end_year": "1994"
      }
    ],
    "skills": ["Leadership", "Strategy", "Product Management"]
  }
}