Mass, Bulk & Batch LinkedIn Profile Scraper

Mass-scrape LinkedIn profiles in bulk and export emails, phone numbers, job titles, companies, locations, skills, education, and full work history in seconds. Drop in a list of LinkedIn URLs, click Start, and the scraper processes them in batches - download clean, structured JSON, CSV, or Excel ready for your CRM, outreach tool, or spreadsheet.

Whether you're doing B2B lead generation, sales prospecting, recruiting, market research, or data enrichment, this LinkedIn data extractor turns any list of profile URLs into a verified contact database without writing a single line of code.

What does Mass, Bulk & Batch LinkedIn Profile Scraper do?

Mass, Bulk & Batch LinkedIn Profile Scraper is the fastest way to extract LinkedIn profile data at scale. Paste in any number of profile URLs - from 10 to tens of thousands - and get back a rich, structured row for each person, including:

• Full name, headline, "about" summary, profile photo, and LinkedIn URL
• Verified email addresses with deliverability and quality score
• Current job title, company name, company LinkedIn page, and tenure
• Complete work experience and education history
• Location (city, region, country) - parsed and ready to filter
• Follower count, connection count, premium / creator / influencer flags
• Skills, certifications, languages, projects, publications, awards
• Personal and company websites

You can try it for free with a single URL, or run it on thousands of profiles for bulk LinkedIn lead generation, sales prospecting, recruiter sourcing, or investor research.

Why use Mass, Bulk & Batch LinkedIn Profile Scraper?

• Find emails on LinkedIn in bulk - get verified work emails with quality scores, ready for cold outreach.
• Build prospect lists in minutes - turn a Sales Navigator export, a list of decision-makers, or a CSV of profile URLs into a fully enriched lead database.
• Recruit and source candidates faster - extract job titles, skills, companies, and education from passive candidates at scale.
• Enrich your CRM - hydrate HubSpot, Salesforce, Pipedrive, or Notion with up-to-date LinkedIn data.
• No login, no captchas, no proxies to manage - just paste URLs and download results.
• Export anywhere - JSON, CSV, Excel, HTML, XML, or RSS. Direct API access, scheduling, and webhooks included.
• Reliable at scale - automatic retries, batching, and per-item error isolation so a single bad URL never ruins a 10,000-row run.

How to use Mass, Bulk & Batch LinkedIn Profile Scraper

Scraping LinkedIn profiles takes about 30 seconds to set up:

1. Click Try for free at the top of this page (or Start if you're already signed in).
2. In the LinkedIn profile URLs field, paste the URLs you want to scrape - one per line.
3. (Optional) Adjust Batch size, Retries per batch, and Request timeout for large jobs.
4. Click Start and wait for the run to finish.
5. Open the Output tab to preview the data, or click Export to download as CSV, JSON, Excel, HTML, XML, or RSS.

You can also run this scraper from the API, schedule recurring runs (daily, weekly, monthly), or trigger it from Make, Zapier, n8n, Google Sheets, or webhooks.

Input

Configure the scraper on the Input tab. The only required field is linkedinUrls.

{
    "linkedinUrls": ["https://www.linkedin.com/in/williamhgates", "https://www.linkedin.com/in/satyanadella"],
    "batchSize": 10,
    "maxRetries": 3,
    "requestTimeoutSecs": 180
}

Field	Type	Required	Default	Description
linkedinUrls	string[]	yes	–	LinkedIn profile URLs to scrape (one per line).
batchSize	integer	no	10	Profiles processed per request (1–50). Higher = faster for clean lists.
maxRetries	integer	no	3	Retry attempts before a batch is skipped.
requestTimeoutSecs	integer	no	180	Per-request timeout in seconds.

Output

Every scraped LinkedIn profile is saved as one row in the dataset. Download in JSON, CSV, Excel, HTML, XML, or RSS - or pull it via the API.

{
    "id": "ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc",
    "publicIdentifier": "williamhgates",
    "linkedinUrl": "https://www.linkedin.com/in/williamhgates",
    "firstName": "Bill",
    "lastName": "Gates",
    "headline": "Chair, Gates Foundation and Founder, Breakthrough Energy",
    "about": "Chair of the Gates Foundation. Founder of Breakthrough Energy...",
    "location": {
        "linkedinText": "Seattle, Washington, United States",
        "parsed": {
            "city": "Seattle",
            "state": "Washington",
            "country": "United States",
            "countryCode": "US"
        }
    },
    "followerCount": 40322229,
    "connectionsCount": 8,
    "emails": [
        {
            "email": "bill.gates@gatesfoundation.org",
            "status": "valid",
            "qualityScore": 80,
            "deliverable": true
        }
    ],
    "currentPosition": [
        {
            "position": "Co-chair",
            "companyName": "Gates Foundation",
            "companyLinkedinUrl": "https://www.linkedin.com/company/gates-foundation/"
        }
    ],
    "photo": "https://media.licdn.com/dms/image/..."
}

Data fields you get for every LinkedIn profile

Field	Description
firstName, lastName, headline, about	Personal identity and bio.
linkedinUrl, publicIdentifier, id	LinkedIn URL, handle, and member ID.
emails	Verified emails with deliverability and quality score.
currentPosition	Current job title, company, company LinkedIn URL, tenure.
experience	Complete career history with companies, titles, and dates.
education	Schools, degrees, and fields of study.
location	Raw and parsed city, state, country, country code.
followerCount, connectionsCount	Audience size and network metrics.
skills, certifications, languages, honorsAndAwards, projects, publications, patents, courses, volunteering	Full skills and credentials.
websites, companyWebsites	Personal and company websites with domain.
photo, profilePicture, coverPicture	Profile and cover images.
premium, influencer, creator, verified, openToWork, hiring	LinkedIn status flags - great for segmenting.
originalQuery	The input URL that produced this row, so you always know the source.

Pricing - How much does it cost to scrape LinkedIn profiles?

You only pay for results - one LinkedIn profile scraped equals one dataset row. To estimate your cost, start with a small test of 5–10 profile URLs, review the price per result, and multiply by your target list size. New Apify users get free monthly credits, so you can scrape your first batches at no cost.

Tips for scraping LinkedIn at scale

• Deduplicate inputs before you start - the scraper already dedupes within a run, but cleaner inputs save you money.
• Increase batch size (up to 50) for clean, valid URLs to finish faster.
• Bump retries to 5 for very large overnight runs to tolerate transient blips.
• Schedule recurring runs to keep your CRM or ATS fresh without manual effort.
• Integrate with Make, Zapier, or n8n to push results directly to Google Sheets, HubSpot, Salesforce, Slack, or Airtable.
• Use webhooks to be notified the moment a run finishes.

FAQ

Can I scrape LinkedIn profiles without logging in? Yes. You just provide a list of public profile URLs - no LinkedIn account, no cookies, no proxies needed.

What is the output format? Every profile is one row in the dataset. Download as JSON, CSV, Excel, HTML, XML, or RSS, or pull from the API.

Can I scrape LinkedIn profiles in bulk? Yes - that's exactly what this scraper is built for. From 10 URLs to 100,000+, the scraper batches, retries, and handles failures so you don't have to.

Can I get emails from LinkedIn profiles? When available, the scraper returns verified work emails with a deliverability status and quality score - perfect for cold outreach, sales prospecting, and lead generation.

Can I integrate this with my CRM or workflow tool? Yes - it works out of the box with Make, Zapier, n8n, webhooks, the Apify API, the Apify CLI, and the JavaScript / Python SDKs.

Is scraping LinkedIn legal? You are responsible for ensuring your use of scraped LinkedIn data complies with LinkedIn's Terms of Service and applicable privacy laws (GDPR, CCPA, etc.). Only collect and store data you have a lawful basis to use.

Where do I report a bug or request a feature? Open an issue on the Issues tab of this Actor's page.

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