Linkedin Profile Data Bulk avatar
Linkedin Profile Data Bulk

Pricing

$3.00 / 1,000 profiles

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Linkedin Profile Data Bulk

Linkedin Profile Data Bulk

Efficiently scrape LinkedIn profile data in bulk. Extracts detailed information including experience history, education history, certifications, location, job title, skills, and more. Returns structured JSON perfect for recruitment, sales prospecting, and market analysis.

Pricing

$3.00 / 1,000 profiles

Rating

0.0

(0)

Developer

Benjar API

Benjar API

Maintained by Community

Actor stats

0

Bookmarked

6

Total users

2

Monthly active users

6 days ago

Last modified

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LinkedIn Profile Scraper Bulk - Extract Full Profile Data

Efficiently scrape LinkedIn profile data in bulk. Extracts detailed information including experience history, education history, certifications, location, job title, skills, and more. Returns structured JSON perfect for recruitment, sales prospecting, and market analysis.

Features

  • Full Profile Extraction: get all available public data from a LinkedIn profile.
  • Detailed History: Experience, Education, Certifications, and Volunteering.
  • Skill Data: Comprehensive list of skills and endorsements.
  • Rich Metadata: Location, Headline, About section, and Contact info (if public).
  • Structured Output: Clean, easy-to-use JSON format.

Input Usage

The actor accepts the following input:

FieldTypeDescription
profilesArray of StringsAn array of profile URLs, usernames, or URNs of the LinkedIn profiles to scrape. Each item can be a full URL (eg: https://www.linkedin.com/in/satyanadella), a username (eg: satyanadella), or a URN (eg: ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ).

Example Input

{
"profiles": [
"https://www.linkedin.com/in/satyanadella",
"williamhgates",
"ACoAAAJ9u18BOtSTHba1VuzZpJ0NGoOYQJ4zWwQ"
]
}

Output

The actor returns a structured JSON object containing the profile data.

Example Output

{
"basic_info": {
"fullname": "Ryan Roslansky",
"first_name": "Ryan",
"last_name": "Roslansky",
"headline": "CEO at LinkedIn",
"public_identifier": "ryanroslansky",
"profile_url": "https://linkedin.com/in/ryanroslansky",
"profile_picture_url": "",
"about": "As CEO of LinkedIn and EVP of Microsoft Office...",
"location": {
"country": "United States",
"city": "San Francisco Bay Area",
"full": "San Francisco Bay Area",
"country_code": "US"
},
"creator_hashtags": [],
"is_creator": true,
"is_influencer": true,
"is_premium": true,
"open_to_work": false,
"created_timestamp": 1086269234000,
"show_follower_count": true,
"background_picture_url": "https://media.licdn.com/...",
"urn": "ACoAAAAKXBwBikfbNJww68eYvcu2dqDYJhHbp4g",
"follower_count": 913943,
"connection_count": 8851,
"current_company": "LinkedIn",
"current_company_urn": "1337",
"current_company_url": "https://www.linkedin.com/company/linkedin/",
"top_skills": [],
"email": null
},
"experience": [
{
"title": "Chief Executive Officer",
"company": "LinkedIn",
"location": "San Francisco Bay Area",
"description": null,
"duration": "Jun 2020 - Present · 5 yrs 8 mos",
"start_date": { "year": 2020, "month": "Jun" },
"end_date": null,
"is_current": true,
"company_linkedin_url": "https://www.linkedin.com/company/1337/",
"company_logo_url": "https://media.licdn.com/...",
"employment_type": "Full-time",
"location_type": null,
"company_id": "1337"
}
],
"education": [],
"projects": [],
"certifications": [],
"languages": [
{ "language": "English", "proficiency": "Native or bilingual proficiency" },
{ "language": "Spanish", "proficiency": "Full professional proficiency" }
],
"featured": [
{
"type": "newsletter",
"url": "https://www.linkedin.com/newsletters/..."
},
{
"type": "post",
"url": "https://www.linkedin.com/feed/update/...",
"description": "Looking back at the past week's meeting...",
"image_url": "https://media.licdn.com/...",
"social_counts": {
"likes": 5631,
"comments": 281,
"reaction_counts": [
{ "type": "like", "count": 4739 },
{ "type": "interest", "count": 543 }
]
}
}
],
"profile": "https://linkedin.com/in/ryanroslansky"
}

Use Cases

  • Recruitment & HR: Enhance candidate profiles with detailed work history and skills.
  • Sales & Lead Gen: Enrich lead data for better targeting and personalization.
  • Market Research: Analyze trends in skills, job titles, and employment history across industries.
  • Competitive Analysis: Monitor key personnel changes at competitor companies.