LinkedIn Hiring Leads Finder — Scrape Companies Hiring on LinkedIn (Emails, Phones & Buying Signals)

Turn public LinkedIn Jobs into a clean, deduplicated list of B2B sales and recruiting leads. This LinkedIn scraper finds every company that is actively hiring for your keywords and enriches each one with its website, generic business email, phone number, industry, employee-facing salary, applicant count, and a hiring-intent score — then exports straight to CSV, Excel, Google Sheets, JSON, Make, Zapier, n8n, or your CRM.

No LinkedIn login, no cookies, no personal profiles — public company-level data only. Built for lead generation, recruiting, staffing, outsourcing, SaaS sales, and market research.

Companies that are hiring are companies that are spending. This Actor surfaces that buying intent and hands you the contact channels to act on it.

Why use this LinkedIn lead scraper

• Company-level leads, not noisy job rows. It groups public LinkedIn job postings by company, so you get one clean prospect per company instead of duplicate listings.
• Real contact data, verified. Generic business emails (validated against the IANA TLD list and matched to the company domain) and phone numbers (validated to E.164) — junk and vendor data are dropped, not exported.
• Hiring intent built in. A 0–100 hiring-intent score, priority (Hot / Warm / Research needed), intent category, and suggested buyer types help you prioritize outreach.
• Every value makes sense or it is omitted. Salaries are read from LinkedIn's structured pay block (correct amount, period, and currency), industries are split into canonical members, and nothing nonsensical is ever written.
• Fast and reliable. Runs behind a proxy automatically to avoid rate limits, returns the full requested volume, and finishes a 50-lead run in ~25 seconds.
• No login required. It only requests publicly accessible LinkedIn Jobs pages — safe, simple, and schedulable.

Who it's for

• Lead generation agencies building targeted B2B prospect lists of companies with active hiring intent
• Recruiters and staffing agencies finding companies that are expanding and may need hiring help
• B2B sales and SDR teams prospecting growing companies and timing outreach to buying signals
• Outsourcing and dev-shop agencies tracking teams scaling engineering, marketing, sales, support, or operations
• SaaS companies selling tools to teams that are clearly hiring (and budgeting) right now
• Market researchers monitoring role demand and hiring trends by city, country, industry, or niche

What you get

Each row is one company that is hiring, enriched with:

• Company identity — company, website, domain, linkedin, logo, industry, industries
• Contact channels — email, emails, phone, phones, contactPage
• Hiring evidence — jobs (matching), applicants, hiringFor (job titles), jobFunction, department, seniority, employmentType, workMode, easyApply, locations, latestJobDate, jobAge, minYearsExperience, jobUrls
• Compensation — salary, salaryMin, salaryMax, salaryPeriod, salaryCurrency
• Prioritization — score, priority, intent, suggestedSellers, reason, summary

Input

Use one field for both keywords and public LinkedIn Jobs URLs:

• keywords — job titles, departments, buying-intent phrases, or public LinkedIn Jobs search URLs
• location — country, city/country, Remote, or Worldwide
• maxJobs — total unique company leads to save across the whole run
• maxJobsPerSearch — optional per-keyword/URL limit for an even spread

maxJobsPerSearch is applied first for each keyword or URL; maxJobs is the global stop limit. For example, 3 keywords with maxJobsPerSearch of 5 collect up to 15 leads, unless maxJobs is 10, in which case the run stops at 10.

There is nothing to configure for speed or proxy — both are tuned automatically.

Input examples

Search by keyword and location:

{
  "keywords": ["software engineer", "sales manager", "content creator"],
  "location": "United States",
  "maxJobsPerSearch": 25,
  "maxJobs": 100
}

Scan a public LinkedIn Jobs URL:

{
  "keywords": ["https://www.linkedin.com/jobs/search/?keywords=content%20creator&location=United%20States"],
  "maxJobs": 100
}

The Actor trims input, removes duplicate URLs, accepts maxJobs, maxItems, or maxResults, and keeps startUrls for API compatibility. A location entered as Latvia Riga is normalized to Riga, Latvia before searching.

Output example

Example record with the company and contact details masked. Every field is either correct or omitted — the Actor drops a value rather than emit something that does not make sense.

{
  "company": "Example Brand Co",
  "website": "https://examplebrand.com/",
  "domain": "examplebrand.com",
  "linkedin": "https://www.linkedin.com/company/example-brand",
  "contactPage": "https://examplebrand.com/contact",
  "email": "careers@examplebrand.com",
  "emails": ["careers@examplebrand.com"],
  "phone": "+1XXXXXXXXXX",
  "phones": ["+1XXXXXXXXXX"],
  "jobs": 1,
  "applicants": 69,
  "hiringFor": ["Social Content Lead"],
  "jobFunction": "Marketing, Public Relations, and Writing/Editing",
  "department": "Marketing",
  "seniority": "Mid-Senior level",
  "employmentType": "Full-time",
  "workMode": "On-site",
  "locations": ["Los Angeles, CA"],
  "latestJobDate": "2026-06-03",
  "jobAge": "1 week ago",
  "minYearsExperience": 6,
  "salary": "USD 95,000-110,000/yearly",
  "salaryMin": 95000,
  "salaryMax": 110000,
  "salaryPeriod": "yearly",
  "salaryCurrency": "USD",
  "industry": "Business Consulting and Services",
  "industries": [
    "Business Consulting and Services",
    "IT Services and IT Consulting",
    "Professional Training and Coaching"
  ],
  "score": 55,
  "priority": "Warm",
  "intent": "Marketing team expansion",
  "suggestedSellers": "Marketing agency, SEO agency, analytics SaaS",
  "reason": "Example Brand Co is hiring for Social Content Lead. This looks like marketing team expansion.",
  "summary": "We are hiring a Social Content Lead to grow our brand across social channels...",
  "jobUrls": ["https://www.linkedin.com/jobs/view/1234567890/"]
}

Data quality — every value makes sense or it is dropped

This is the difference between a usable lead list and a noisy export:

• Salary is read only from LinkedIn's structured compensation block (e.g. $95,000.00/yr), never guessed from page text, so the amount, period, and currency are correct. Sign-on bonuses and equity are ignored. When no pay range is published, salary is omitted instead of invented.
• Emails are kept only when the domain belongs to the company; personal and third-party vendor emails embedded on a site are dropped. TLDs are validated against the official IANA list.
• Phones are validated to E.164 (correct country calling code and national-number length). Concatenated junk and impossible numbers are rejected.
• Industries are split into canonical LinkedIn industries, so a company is never reported with several industries glued into one string.
• Websites come from the job's apply link or a domain that corroborates with the LinkedIn company slug, so generic single-word brand names never map to the wrong company.

Speed and reliability

Measured on Apify (4 GB), repeated runs, "content creator" / United States:

Leads	Time	Rate blocks
30	~14s	none
50	~25s	none

There is nothing to tune. The Actor runs behind Apify proxy automatically with fixed, optimized crawl concurrency and request pacing, which avoids LinkedIn's per-IP rate limit and returns the full requested volume at maximum safe speed.

Reliability safeguards:

• On a rate limit, the Actor never crashes — it logs the boundary and keeps the leads already found, so no data is lost.
• Each company website lookup is time-capped and returns partial results, so a slow or dead site can never stall a run or discard a website that was already found.

How it works

1. Searches public LinkedIn Jobs pages for your keywords, locations, or pasted LinkedIn Jobs URLs.
2. Extracts public job cards and groups them into unique companies.
3. Opens each job to read structured details (salary, seniority, employment type, job function, industries, applicants).
4. Checks likely public company websites and contact pages for generic emails and phone numbers.
5. Scores hiring intent and writes one clean company lead per company to the dataset.

If LinkedIn has no more public pages for a query, the log says so clearly and the run continues with the companies already found. For large lists, use multiple related keywords, locations, or pasted LinkedIn Jobs URLs.

How to use (step by step)

1. Enter one or more keywords (job titles or buying-intent phrases) and a location.
2. Set maxJobs to how many company leads you want (try 40–100 for a quick run).
3. Click Start, or schedule the Actor to run daily/weekly.
4. Open the Dataset and export to CSV, Excel, Google Sheets, or JSON — or pull it from the Apify API.

Export and integrations

• Export the Dataset to CSV, Excel, JSON, XML, or RSS in one click.
• Send leads to Google Sheets, Make (Integromat), Zapier, n8n, or any webhook.
• Pull results programmatically from the Apify API and push them into your CRM (HubSpot, Salesforce, etc.).
• Schedule recurring runs to keep a fresh hiring-leads feed.

Tips for better results

• Use buying-intent keywords such as sales development representative, account executive, customer success manager, software engineer, AI engineer, content creator, or marketing manager.
• Use maxJobs of 40–100 for quick tests, higher for full territory sweeps.
• Use maxJobsPerSearch for an even spread across multiple keywords or URLs.
• Run separate searches by country, city, or niche for cleaner territory segmentation.

FAQ

Does this LinkedIn scraper require a LinkedIn account or login?

No. The Actor only requests publicly accessible LinkedIn Jobs pages. No login, cookies, or session is used.

What contact data does it return?

Public company website, domain, contact page, generic business emails (e.g. info@, sales@, careers@) on the company's own domain, and validated public phone numbers. Personal emails and unrelated vendor emails are skipped.

Why company-level output instead of individual people?

Most sales and recruiting workflows need the company, its website, and a contact channel. Company-level output removes duplicate job rows and produces a cleaner outreach list. It does not scrape personal LinkedIn profiles.

Why did a run save fewer leads than my limit?

A single public LinkedIn search has a finite number of public result pages. The Actor collects everything available and stops cleanly. Add more related keywords, URLs, or locations to collect more companies.

Can I export to Google Sheets, Excel, or my CRM?

Yes. Export the Dataset to CSV/Excel/JSON, or connect Apify to Google Sheets, Make, Zapier, n8n, or your CRM via the API and integrations.

Can I schedule it?

Yes. Schedule runs on Apify, then export or push the dataset to your tools automatically.

Is scraping public LinkedIn Jobs data allowed?

This Actor collects only public, company-level job data and does not bypass authentication or access controls. Review LinkedIn's terms and your local regulations, and use the data responsibly for legitimate B2B outreach.

Responsible and compliant use

• Uses public LinkedIn Jobs pages only
• No LinkedIn login is used or required
• Does not scrape private profiles or gated LinkedIn content
• Does not bypass CAPTCHA, authentication, or access controls
• Collects company-level public data only
• Skips personal emails and keeps generic company inboxes only