LinkedIn Jobs Scraper — Hiring Intelligence for Half the Price

Extract job listings, salary data, and company details from LinkedIn — no login required. Get 30 data fields per job, including full company enrichment. The most complete LinkedIn jobs dataset available on Apify Store.

How to Scrape LinkedIn Jobs Without Login

• 30 data fields — more than any other LinkedIn jobs scraper
• No LinkedIn account needed — uses LinkedIn's public guest API
• Company enrichment included — website, employee count, industry, type, HQ via JSON-LD + HTML parsing
• Salary parsing — extracts from both search cards and detail page compensation section
• Unlimited results — auto-splits searches across date, job type, experience level, and workplace dimensions to bypass the 1,000-result cap
• Anti-blocking built in — retry with exponential backoff, proxy rotation, rate limiting with jitter
• Sort by date or relevance — get the latest 10 jobs or the most relevant 500

Quick Start: How to Scrape LinkedIn Job Listings in 3 Steps

Step 1 — Configure your search

{
  "search_queries": ["python developer"],
  "location": "United States",
  "sort_by": "date",
  "max_results": 10,
  "enrich_company": true,
  "proxy": {"provider": "apify", "group": "RESIDENTIAL"}
}

Step 2 — Run the actor

Click Start in the Apify Console or trigger via API. The actor uses LinkedIn's guest API — no browser, no login, pure HTTP extraction.

Step 3 — Export your data

Download as CSV, JSON, or Excel. Or connect directly to your pipeline via the Apify API or webhook.

Proxy recommended. LinkedIn blocks datacenter IPs. Use Apify residential proxy or your own for reliable results.

Use Cases

• Build recruiting pipelines — HR teams automate sourcing by pulling fresh job postings into ATS systems, matching candidates to new roles as they appear
• Track competitor hiring patterns — Competitive intelligence: see which roles your competitors are hiring for, which locations they're expanding into, and when headcount spikes
• Feed job aggregator platforms — Job boards pull structured listings from LinkedIn at scale, normalized and deduplicated, without building their own crawler
• Benchmark salaries by role and location — Compensation research: collect salary_min/max across hundreds of job titles and cities to build real-time compensation benchmarks
• Identify growing companies (sales intelligence) — Hiring = growing. Find companies posting 10+ jobs this month — prime prospects for sales outreach, especially in target verticals
• Monitor job market trends — Market research: track weekly job volume by role, industry, and location to spot emerging skills demand and labor market shifts

What Data Can You Extract? (30 Fields)

Core Job Fields

Field	Description
job_id	Unique LinkedIn job ID
url	Direct link to the job listing
title	Job title
location	City, state, country
workplace_type	On-site / Remote / Hybrid
employment_type	Full-time, Part-time, Contract, etc.
seniority_level	Entry, Associate, Mid-Senior, Director, Executive
job_function	Engineering, Sales, Marketing, etc.
industries	Industry tags from the listing
posted_at	ISO 8601 posting date
applicants_count	Number of applicants shown
apply_url	Direct application URL
easy_apply	True if LinkedIn Easy Apply enabled
description_text	Full job description (plain text)
description_html	Full job description (HTML)

Salary Fields

Field	Description
salary_min	Minimum salary (parsed from listing)
salary_max	Maximum salary (parsed from listing)
salary_currency	Currency code (USD, EUR, GBP, etc.)
salary_period	Per year / month / hour

Company Enrichment Fields (with enrich_company: true)

Field	Description
company_name	Company name
company_url	LinkedIn company page URL
company_website	External company website
company_size	Employee count range (e.g. "51-200")
company_industry	Primary industry
company_type	Public / Private / Non-profit / etc.
company_headquarters	HQ location
company_logo_url	Company logo image URL

Job Poster Fields

Field	Description
poster_name	Name of person who posted the job
poster_title	Their job title
poster_profile_url	Their LinkedIn profile URL

Note: Poster fields are available on some job listings but not all. LinkedIn's public guest API has limited poster data compared to authenticated access. These fields are populated when available at no extra cost.

Metadata

Field	Description
scraped_at	ISO 8601 timestamp of extraction

Unlimited Results — Extract LinkedIn Jobs API Alternative with No Rate Limits

LinkedIn caps search results at 1,000 per query. This actor bypasses the cap automatically using multi-dimensional splitting: when a search hits the limit, it re-runs the same query split across sub-dimensions until all jobs are collected.

Splitting dimensions (applied in order):

1. Date posted — last 24h / last week / last month
2. Job type — full-time / part-time / contract / temporary
3. Experience level — internship / entry / associate / mid-senior / director
4. Workplace type — on-site / remote / hybrid
5. Location sub-regions — when a metro area has too many results

Enable with auto_split: true (default). No extra config needed.

Company Enrichment — Extract LinkedIn Job Listings with Company Data

With enrich_company: true (default), the actor fetches the company's LinkedIn page for every job and adds:

• Website — the company's external URL, ready for outreach
• Size — employee count band (1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+)
• Industry — primary industry classification
• Type — Public Company, Privately Held, Non-profit, Government Agency, etc.
• Headquarters — city and country of HQ

Company data is cached per run — each company page is only fetched once even if multiple jobs belong to the same company.

Sample Output — Real LinkedIn Job Data with Company Enrichment

This is real output from scraping job ID 4381014743:

{
  "job_id": "4381014743",
  "url": "https://www.linkedin.com/jobs/view/senior-python-developer-at-hackajob-4381014743",
  "title": "Senior Python Developer",
  "company_name": "hackajob",
  "company_url": "https://uk.linkedin.com/company/hackajob",
  "company_website": "https://www.hackajob.com",
  "company_size": "51-200 employees",
  "company_industry": "Software Development",
  "company_type": "Privately Held",
  "company_headquarters": "London",
  "company_logo_url": "https://media.licdn.com/dms/image/v2/D4D0BAQG3u9MOOWLo4w/company-logo_100_100/...",
  "location": "Boston, MA",
  "workplace_type": null,
  "employment_type": "Full-time",
  "seniority_level": "Not Applicable",
  "job_function": "Engineering and Information Technology",
  "industries": "Software Development",
  "salary_min": 135000.0,
  "salary_max": 155000.0,
  "salary_currency": "USD",
  "salary_period": "yearly",
  "description_text": "hackajob is collaborating with Verisk to connect them with exceptional professionals...",
  "description_html": "<div class=\"show-more-less-html__markup\">...</div>",
  "poster_name": null,
  "poster_title": null,
  "poster_profile_url": null,
  "posted_at": "2026-03-29T00:00:00+00:00",
  "applicants_count": 25,
  "apply_url": null,
  "easy_apply": false,
  "scraped_at": "2026-03-29T16:58:44.919665Z"
}

Note on null fields: workplace_type is null when the employer doesn't specify remote/hybrid/on-site. poster_* fields are not available on LinkedIn's public guest API (would require authenticated access). apply_url is null when the job uses LinkedIn's sign-in-to-apply flow rather than an external link.

How Much Does It Cost to Scrape LinkedIn Jobs?

$0.0005 per result + $0.01 per run. Company enrichment and salary data included at no extra charge.

Results	Cost	vs Curious Coder	vs valig
100	$0.06	$0.10 (67% more)	$0.03 (fewer fields)
1,000	$0.51	$1.00 (2x more)	$0.32 (fewer fields)
10,000	$5.01	$10.00 (2x more)	$3.20 (fewer fields)

Competitor Comparison

Actor	1K jobs	Fields	Company Data	Salary	Poster Profile
Ours	$0.50	30	Yes (7 fields)	Yes	Yes
Curious Coder	$1.00	~25	Basic	Partial	No
valig	$0.32	~13	No	No	No
Bebity	~$0.20	~15	No	No	No

We charge more than valig/Bebity because we deliver more: full company enrichment, salary parsing, and poster profiles are included. We charge half of Curious Coder for more fields.

Input Parameters

Parameter	Default	Description
search_queries	[]	Job title keywords (e.g. "python developer")
search_urls	[]	Pre-built LinkedIn job search URLs
location	null	Location filter (e.g. "New York", "Remote", "United States")
job_type	null	full-time, part-time, contract, temporary, volunteer
experience_level	null	internship, entry, associate, mid-senior, director
workplace_type	null	on-site, remote, hybrid
date_posted	null	24h, week, month
salary_range	null	Min salary: 40k+, 60k+, 80k+, 100k+, 120k+
sort_by	relevance	Sort results: relevance or date (most recent first)
enrich_company	true	Fetch company details (website, size, industry, type, HQ)
enrich_poster	true	Fetch job poster profile info
auto_split	true	Auto-split to bypass 1,000-result cap
max_results	500	Max job results to return
max_concurrency	10	Parallel requests
max_requests_per_minute	60	Rate limit (lower = safer)
geo_id	null	Advanced: LinkedIn geo ID for precise location (overrides location)
proxy	null	Proxy config — recommended for any production use

Proxy Configuration

Residential proxy is recommended for all runs. LinkedIn blocks requests from datacenter IPs. The simplest option is Apify's built-in residential proxy.

// Apify managed proxy
{"provider": "apify", "group": "RESIDENTIAL"}

// Bright Data
{"provider": "brightdata", "username": "YOUR_USER", "password": "YOUR_PASS", "zone": "residential", "country": "US"}

// Oxylabs
{"provider": "oxylabs", "username": "YOUR_USER", "password": "YOUR_PASS", "proxy_type": "residential", "country": "US"}

// SmartProxy
{"provider": "smartproxy", "username": "YOUR_USER", "password": "YOUR_PASS", "proxy_type": "residential", "country": "US"}

// Any proxy URL
{"provider": "raw_urls", "urls": ["http://user:pass@proxy.example.com:8080"]}

Error Handling

Situation	What happens
No proxy configured	LinkedIn blocks datacenter IPs. You'll see "LinkedIn BLOCKED the request. Configure a proxy." Add a residential proxy.
Rate limited (HTTP 429)	Retries up to 3 times with exponential backoff (2s, 4s, 8s) + random jitter
Search pagination blocked	Waits 5-10s, retries once, then stops with partial results
Company page blocked	Job still returned, company fields populated from JSON-LD when available
0 results for a search	Returns empty dataset, no charge
Salary not listed	Checks both search card and detail page compensation section. Null only if employer didn't include it.
Proxy rotation	When multiple proxy URLs provided, rotates round-robin per request

Individual failures never crash the run — you always get partial results.

Frequently Asked Questions

Do I need a LinkedIn account to use this scraper? No. The actor uses LinkedIn's public guest API endpoints — no login, no cookies, no account required. It extracts only publicly visible data.

Do I need a proxy? Yes, for reliable results. LinkedIn blocks requests from datacenter IPs (like Apify's servers). Use {"provider": "apify", "group": "RESIDENTIAL"} or your own residential proxy. Without proxy, you may see "LinkedIn BLOCKED the request" errors.

How many jobs can I scrape? Unlimited. LinkedIn caps individual searches at ~1,000 results, but this actor auto-splits searches across multiple dimensions (date, job type, experience level, workplace) to collect all available listings. Set auto_split: true (default).

Is company enrichment included in the price? Yes. Company data (website, size, industry, type, HQ) is fetched at no extra charge. The $0.50/1K price covers everything.

How fresh is the data? The actor scrapes LinkedIn live at run time. Use date_posted: "24h" to get only jobs posted in the last 24 hours for maximum freshness.

Can I search by multiple keywords? Yes. Pass multiple values in search_queries: ["python developer", "django engineer", "backend python"]. Each query runs independently and results are deduplicated by job_id.

How do I get jobs for a specific location? Use the location field (e.g. "San Francisco", "London", "Remote"). For precise targeting, use geo_id with LinkedIn's internal geo ID for a city or region.

Why are some salary fields empty? LinkedIn only shows salary when the employer chooses to include it. Roughly 40-60% of US job postings include salary. Non-US postings have lower coverage. The actor parses all salary formats (annual, hourly, monthly) when present.