⚡ Rapid LinkedIn Jobs Scraper avatar

⚡ Rapid LinkedIn Jobs Scraper

Pricing

from $3.99 / 1,000 results

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⚡ Rapid LinkedIn Jobs Scraper

⚡ Rapid LinkedIn Jobs Scraper

⚡ Rapid LinkedIn Jobs Scraper extracts job postings fast from LinkedIn—titles, companies, locations, and details—automatically. 🚀 Perfect for lead gen, recruiting, and market research. 🔎 Save time, scale insights.

Pricing

from $3.99 / 1,000 results

Rating

0.0

(0)

Developer

Scrapio

Scrapio

Maintained by Community

Actor stats

6

Bookmarked

14

Total users

2

Monthly active users

11 days ago

Last modified

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Extract LinkedIn job postings instantlyno login, no cookies, no session required. Search by keyword, location, city, or company and get clean, structured data: titles, descriptions, salaries, requirements, seniority, function, industries, and full employer info.

This scraper talks to LinkedIn's public guest job endpoints, so it never touches private data or authenticated pages.


🌟 Why Choose This Scraper?

  • 🔓 No login required — zero credentials, zero cookies, zero risk to any account.
  • Fast & concurrent — pages and detail requests run in parallel waves.
  • 🛡️ Self-healing proxies — starts direct, then auto-escalates to datacenter and residential proxies the moment LinkedIn rate-limits, and sticks there.
  • 💾 Live results — every job lands in your dataset the instant it's scraped; a crash never loses progress.
  • 🗂️ Six ready-made views — Overview, Compensation, Company, Classification, Description, and Apply.
  • 🔗 Two ways to search — fill in the friendly form, or paste ready-made LinkedIn search URLs in bulk.

✨ Key Features

FeatureDescription
💼 Keyword searchSearch any job title or keywords
🌍 Location & 🏙️ citiesBroad country/region plus an optional per-city loop
🏢 Company filterRestrict to specific LinkedIn company IDs
📈 Experience / 🕒 type / 🏠 arrangementFull LinkedIn filter parity
📅 Posting timeLast 24h / week / month, or a custom window
✅ Easy ApplyOptionally keep only one-click apply jobs
📝 Full detailsDescription, salary, seniority, function, industries

📥 Input

FieldTypeDescription
job_titlestringJob title or keywords
locationstringBroad location or full search string
citiesarrayOptional list of cities to loop
jobs_entriesintegerHow many jobs to collect (1–30000)
company_namesarrayNumeric LinkedIn company IDs
experienceenumIntern…Executive
employment_typeenumFull-time…Other
work_arrangementenumOn-site / Remote / Hybrid
posted_withinenumAny Time / Past 24h / Past Week / Past Month
easy_applybooleanEasy Apply only
start_jobsintegerSkip first N results
scrape_detailsbooleanFetch full job details (default on)
job_post_timestringAdvanced custom window, e.g. r86400
searchUrlsarrayAdvanced: paste LinkedIn search URLs directly
proxyConfigurationobjectProxy settings (auto-ladder by default)

Example input

{
"job_title": "React Developer",
"location": "Canada",
"jobs_entries": 100,
"scrape_details": true,
"proxyConfiguration": { "useApifyProxy": true }
}

📤 Output

Each record:

{
"job_id": "4426369076",
"job_url": "https://www.linkedin.com/jobs/view/4426369076",
"job_title": "React Front-End Developer",
"company_name": "Keasis",
"company_url": "https://www.linkedin.com/company/keasis",
"location": "Calgary, Alberta, Canada",
"time_posted": "15 hours ago",
"num_applicants": "94 applicants",
"salary_range": null,
"job_description": "Job Summary: We are seeking a talented React Front-End Developer…",
"job_description_raw_html": "<section class=\"show-more-less-html\">…</section>",
"company_logo_url": "https://media.licdn.com/dms/image/…",
"seniority_level": "Executive",
"employment_type": "Contract",
"job_function": "Information Technology",
"industries": "IT Services and IT Consulting",
"easy_apply": false,
"apply_url": "https://www.linkedin.com/jobs/view/4426369076"
}
FieldDescription
job_id / job_urlLinkedIn job identifier and canonical URL
job_titlePosting title
company_name / company_url / company_logo_urlEmployer info
locationJob location
time_postedHuman-readable posting age
num_applicantsApplicant count (when shown)
salary_rangeSalary range when disclosed (often null)
job_descriptionPlain-text description
job_description_raw_htmlRaw HTML of the description block
seniority_level / employment_type / job_function / industriesStructured job criteria
easy_applyWhether one-click Easy Apply is available
apply_urlApply link (defaults to the job view URL)

🚀 How to Use (Apify Console)

  1. Log in at https://console.apify.comActors.
  2. Open ⚡ Rapid LinkedIn Jobs Scraper.
  3. Enter a Job Title and Location (or paste Search URLs).
  4. Set how many jobs you want and any filters.
  5. Click Start and watch results stream into the Output tab in real time.
  6. Export to JSON / CSV / XLSX / Excel when finished.

🤖 Use via API

curl -X POST "https://api.apify.com/v2/acts/<ACTOR_ID>/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"job_title":"React Developer","location":"Canada","jobs_entries":50}'

💡 Best Use Cases

  • 📊 Job-market & salary research
  • 🧑‍💼 Recruiting and talent sourcing pipelines
  • 🏢 Competitor hiring intelligence
  • 🤖 Feeding job feeds into your own apps and dashboards

💳 Pricing

This actor uses the Pay-Per-Event model. You're billed for actor start and per job result saved to the dataset. See the Store page for live event prices.

❓ FAQ

Do I need a LinkedIn account? No. It uses only public guest endpoints.

Why do some jobs have null salary? LinkedIn rarely exposes salary on public guest pages; it's returned only when present.

It's slow / I see proxy switches in the log. LinkedIn rate-limits cloud IPs. The actor automatically moves to datacenter, then residential proxies to keep collecting — this is expected and self-healing.

How many jobs can I get per search? LinkedIn caps a single search at ~1000 results. Use cities or multiple searches to go wider.

🛟 Support & Feedback

Found a bug or want a feature? Open an issue on the Actor's Issues tab. We read every report.


⚖️ Legal: Only publicly available data is collected. You are responsible for complying with LinkedIn's Terms, GDPR/CCPA, and all applicable laws.