LinkedIn Profile Scraper · Fresh · No Cookies
Pricing
$4.00 / 1,000 linkedin profiles
LinkedIn Profile Scraper · Fresh · No Cookies
Scrape fresh LinkedIn profile data in bulk from profile URLs. Export structured JSON, CSV, or Excel with experience, education, skills, job, company, and location fields. No LinkedIn login or cookies. $4 per 1,000 profiles.
Pricing
$4.00 / 1,000 linkedin profiles
Rating
5.0
(1)
Developer
Data Slayer
Maintained by CommunityActor stats
15
Bookmarked
776
Total users
147
Monthly active users
21 days
Issues response
an hour ago
Last modified
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Scrape fresh LinkedIn profile data from one or many profile URLs and export structured JSON, CSV, or Excel. Get identity, headline, job, company, experience, education, skills, location, and other public profile fields without LinkedIn login credentials or cookies.
Cookieless · Fresh data · No LinkedIn login or account risk.
Watch the demo
What you get
Each successful dataset row can include:
- name, username, LinkedIn profile URL, headline, and about text
- current job title, company, industry, company URL, and company website
- complete experience records with dates, locations, company headcount, and industry
- education, certifications, skills, languages, projects, publications, and volunteering
- profile location and parsed city, state, and country fields
- profile and background image URLs
- Sales Navigator profile URL and Sales profile identifier when available
- premium, creator, influencer, open-to-work, and related public status fields
Field availability depends on what is available for the requested public profile.
Output example
{"full_name": "Satya Nadella","first_name": "Satya","last_name": "Nadella","username": "satyanadella","profile_link": "https://linkedin.com/in/satyanadella","profile_headline": "Chairman and CEO at Microsoft","description": "As chairman and CEO of Microsoft...","job_title": "Chairman and CEO","current_company_name": "Microsoft","company_industry": "Computer Software","current_company_linkedin_url": "https://www.linkedin.com/company/microsoft/","location": "Redmond, Washington, United States","country": "United States","experience": [{"company_name": "Microsoft","company_headcount_range": "10,001+ employees","company_industry": "Software Development","company_website": "news.microsoft.com","job_title": "Chairman and CEO","job_started_on": "2-2014","job_still_working": true}],"education": [{"university_id": "8398","started_on": { "year": 1994 },"ended_on": { "year": 1996 }}]}
The exact dataset can contain additional profile fields. Empty or unavailable LinkedIn sections may be returned as empty strings, null, or empty arrays.
Input
| Field | Type | Description |
|---|---|---|
linkedin_urls | string[] | Standard LinkedIn or Sales Navigator profile URLs, one URL per row |
enrich_flags | string[] | Optional enrichment flags: company_interest, top_voices_interest, group_interest, school_interest, newsletter_interest, similar_profiles, recommendations_data |
Example:
{"linkedin_urls": ["https://www.linkedin.com/in/satyanadella","https://www.linkedin.com/in/williamhgates"]}
How to scrape LinkedIn profiles
- Paste one or many LinkedIn profile URLs into LinkedIn profile URL(s).
- Click Start.
- Download the default dataset as JSON, CSV, Excel, XML, or another Apify export format.
The actor removes duplicate URLs and processes profile requests concurrently. Every profile request is configured for fresh retrieval rather than intentionally reading cached profile records.
Use cases
CRM and lead enrichment
Turn stored LinkedIn URLs into structured job, company, location, and career-history fields for segmentation and routing.
Recruiting and candidate research
Build structured candidate records from known LinkedIn profile URLs and export them to a spreadsheet, ATS workflow, or internal database.
Sales and account research
Refresh titles, companies, industries, and work histories before account planning, lead scoring, or personalized outreach.
Market and workforce research
Analyze career paths, company movement, job-title distributions, education histories, and professional backgrounds.
AI-agent context
Give an AI agent structured professional context before meeting preparation, research, routing, or personalized content generation.
Pricing
The actor costs $4 per 1,000 LinkedIn profile results ($0.004 per profile).
Optional profile enrichment flags
You can request extra profile data with the enrich_flags input. Allowed values: company_interest, top_voices_interest, group_interest, school_interest, newsletter_interest, similar_profiles, recommendations_data.
Each requested flag that returns data is billed at $8 per 1,000 flags ($0.008 per flag). Flags that return no data are not charged. Leave enrich_flags empty for profile-only enrichment at the standard profile price.
LinkedIn profile API and integrations
Run the actor from Apify Console or call it programmatically through the Apify API. Results are stored in the default Apify dataset and can feed:
- HubSpot, Salesforce, and other CRMs
- Clay, Make, Zapier, n8n, and webhooks
- Google Sheets, Airtable, databases, and data warehouses
- recruiting and talent-intelligence pipelines
- Apify MCP Server and MCP-compatible AI agents
Use schedules to refresh important profiles automatically, or trigger runs from your application whenever a profile record needs updating.
Other LinkedIn Actors by data-slayer
Need more LinkedIn data? Pair this actor with the rest of the cookieless LinkedIn family:
| Actor | What it does |
|---|---|
| LinkedIn Profile Posts Scraper | Recent posts from a profile, with engagement metrics |
| LinkedIn Company Scraper | Full company profile data |
| LinkedIn Company Posts Scraper | Recent posts from any company page |
| LinkedIn Post Performance Scraper | Likes, comments, shares and reaction breakdown for any post |
| LinkedIn Post Engagers Scraper | Everyone who engaged with a post — commenters, reactors, reposters |
| LinkedIn Post Comments Scraper | Every comment on a post, with commenter profiles |
| LinkedIn Post Reactions Scraper | Everyone who reacted to a post, with reactor profiles |
| LinkedIn Post Reposts Scraper | Everyone who reposted or shared a post |
| LinkedIn Profile Engagers Scraper | Everyone who engaged across a profile's recent posts, ranked by engagement |
| LinkedIn Profile Reactions Scraper | Reactions a profile left on other people's posts |
| LinkedIn Profile Comments Scraper | Comments a profile left on other people's posts |
| LinkedIn People Search (ICP) | Find people by title, seniority, function, company, location |
| LinkedIn Company Search (ICP) | Find companies by industry, size, location and tech stack |
| LinkedIn Company Employees | Employees at a company, filtered by title, seniority and function |
| LinkedIn Job Scraper | Full details for LinkedIn job postings |
| LinkedIn Job Change Tracker | People who recently changed jobs |
Which LinkedIn actor should I use?
| I have… | And I want… | Use |
|---|---|---|
| Profile URL(s) | Full profile data | LinkedIn Profile Scraper |
| Profile URL(s) | Their recent posts & engagement | LinkedIn Profile Posts Scraper |
| A profile URL | Everyone who engaged across their posts, ranked | LinkedIn Profile Engagers Scraper |
| A profile URL | Reactions they left on others' posts | LinkedIn Profile Reactions Scraper |
| A profile URL | Comments they left on others' posts | LinkedIn Profile Comments Scraper |
| A post URL | Likes, comments, shares & reaction breakdown | LinkedIn Post Performance Scraper |
| A post URL | Everyone who engaged (commenters + reactors + reposters) | LinkedIn Post Engagers Scraper |
| A company URL | Full company profile | LinkedIn Company Scraper |
| A company URL | Recent company posts | LinkedIn Company Posts Scraper |
| Search filters | People matching an ICP | LinkedIn People Search (ICP) |
| A company URL | Its employees, by title/seniority/function | LinkedIn Company Employees |
Example tasks
Ready-made configurations you can run as-is, each with its own guide:
- Enrich a list of LinkedIn profiles in bulk
- Get full work history for candidate screening
- Extract decision-maker profiles for ABM
- Build a profile dataset from Sales Navigator URLs
- Enrich CRM contacts with LinkedIn data
- Get education and skills for recruiting
FAQ
Can I scrape LinkedIn profiles without login or cookies?
Yes. Paste public LinkedIn profile URLs into the actor. It does not require your LinkedIn account, session cookies, or browser extension.
Can I scrape LinkedIn profiles in bulk?
Yes. Add multiple profile URLs to the linkedin_urls array. Duplicate URLs are removed automatically and profile requests are processed concurrently.
Is this a LinkedIn profile API?
Yes. You can call the actor through the Apify API, receive a run ID, and retrieve structured results from the default dataset.
Can AI agents use this LinkedIn profile scraper?
Yes. Add the actor to Apify MCP Server or call it through the Apify API from an agent workflow. It returns structured profile data that can be used as research context.
Does it support Sales Navigator URLs?
Yes, individual Sales Navigator profile URLs are supported. Sales Navigator search pages and lead-list exports are outside this actor's scope.
How fresh is the LinkedIn profile data?
Every profile request is configured for fresh retrieval instead of intentionally reading cached profile records. The fields returned still depend on profile availability at run time.
What formats can I export?
Apify datasets support JSON, CSV, Excel, XML, and other export formats. You can also access dataset items through the API.
How much does it cost?
The price is $0.004 per LinkedIn profile result, equivalent to $4 per 1,000 profiles.
Limits and data notes
- Only submit profiles you are permitted to process and use the data in compliance with applicable laws and platform terms.
- The actor returns public profile data available for the requested URL; some fields may be missing or empty.
- A Sales Navigator profile URL can be used as input, but this actor does not scrape Sales Navigator search-result lists.
- Very large batches depend on your Apify account limits, run timeout, and maximum charge settings.
Feedback and support
If a profile returns an unexpected result, open an issue from the Actor's Issues tab in Apify Console and include the run ID and input. Rate the actor if it helped you — it helps others find it too.
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