LinkedIn Profile Scraper

hipersoft/linkedin-profile-scraper

Scrape public LinkedIn profiles in bulk: name, headline, location, about, follower count, current companies (with start year), education, languages, awards and profile photo. Just pass profile URLs or usernames. One row per profile as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per profile scraped

$0.004

Last rebuilt

Oct 26, 2026

Overview

Extract public LinkedIn profile data in bulk with the LinkedIn Profile Scraper. Pass a list of profile URLs or usernames and export each person's name, headline, location, about, follower count, current companies, education, languages, awards and profile photo — one clean row per profile as JSON, CSV or Excel.

Built for recruiting and talent sourcing, sales prospecting, CRM enrichment, people research and network analysis, it turns a list of profile links into a structured dataset.

What it does

👤 Core profile fields — name, headline, location and about summary.
🏢 Experience — current companies with their LinkedIn page and start year.
🎓 Education & background — schools and affiliations.
🌐 Extras — follower count, languages, awards and profile photo.
🔗 Flexible input — accepts usernames (williamhgates) or full profile URLs.
📤 Export anywhere — JSON, CSV or Excel, or straight into a CRM, sheet or dashboard.

Example output

{
  "name": "Satya Nadella",
  "headline": "Chairman and CEO at Microsoft",
  "location": "Redmond, Washington, United States",
  "followers": 12178320,
  "currentCompanies": [
    { "name": "Microsoft", "url": "https://www.linkedin.com/company/microsoft", "startYear": "2014-02" }
  ],
  "url": "https://www.linkedin.com/in/satyanadella"
}

How to use it

Add a list of profiles — usernames or full LinkedIn profile URLs.
Set Max profiles if you want a cap.
Run, and download the results as JSON, CSV or Excel.

Input fields

Field	Description
LinkedIn profiles	Profile usernames or URLs.
Max profiles	Maximum profiles to process (0 = no limit).

Output fields

slug, found, name, headline, about, location, country, followers, jobTitles, currentCompanies, education, languages, awards, profileImage, url.

Popular use cases

Recruiting & sourcing — enrich candidate lists with headline, company and location.
Sales prospecting — qualify leads by role, company and background.
CRM enrichment — fill in title, employer and location for contacts.
People research — build structured profiles for a set of individuals.
Network analysis — study roles, companies and reach across a list.

FAQ

Do I need an account or key? No. Add profile URLs or usernames and run — only public profile data is collected.

What can I pass as input? A username (williamhgates) or a full profile URL — both work.

What data is returned? Public profile fields: name, headline, about, location, follower count, current companies (with start year), education, languages, awards and profile photo.

Can I export to Excel or Google Sheets? Yes — results download as JSON, CSV or Excel and integrate with CRMs, Sheets and dashboards.

How many profiles can I process? As many as you like — the scraper processes your whole list; set Max profiles to cap it.

Structured public LinkedIn profile data — name, headline, company, education and location — clean and export-ready for recruiting, sales and research.

Input

Field	Type	Description
`profiles` LinkedIn profiles	array	Profile URLs or usernames — e.g. 'williamhgates' or 'https://www.linkedin.com/in/satyanadella/'. Each is looked up individually.
`maxItems` Max profiles	integer	Maximum number of profiles to process (0 = no limit). Default: `0`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~linkedin-profile-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "profiles": [
    "williamhgates",
    "satyanadella"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/linkedin-profile-scraper").call(run_input={
    "profiles": [
        "williamhgates",
        "satyanadella"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/linkedin-profile-scraper').call({
  "profiles": [
    "williamhgates",
    "satyanadella"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Profile scraped Charged for each LinkedIn profile returned.	$0.004	$0.002

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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