LinkedIn Jobs Scraper — Job Posting Preview

Example of structured LinkedIn job data: job title, company, location, and more.

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This is a 5-row preview. You can download the full dataset with 100 free rows below.

Why Use LinkedIn Jobs Scraper?

Extract real-time job listings from LinkedIn using job titles, company names or IDs, and geo targeting. No LinkedIn API or logins required.

Perfect for talent analytics, competitor tracking, or building your own job board.

Input job titles, geo IDs, and company info (bulk upload supported)

Filter by job type, work type, and posting freshness

Get results with job title, location, company, posted date, and link

Export in CSV, Excel, or JSON format

Why Use Our LinkedIn Jobs Scraper

Our linkedin jobs scraper turns public job postings into clean, analysis-ready datasets for hiring intelligence, market mapping, and ABM. If you're asking how to scrape job postings from linkedin or how to scrape linkedin jobs at scale—configure filters, run, and review structured results.

How this service helps

Modern, resilient collection
Cloud-scaled pipeline with smart retries/throttling to scrape jobs from linkedin reliably across large batches—no manual babysitting.
Rich, well-structured schema
Core fields include: Job title, Company name/ID, Location/geo_id, Remote/On-site/Hybrid, Job type (full-time, part-time, contract), Seniority/Experience level, Skills/Keywords, Description, Posted/Updated time, Apply link, Salary (when visible), and canonical posting identifiers.
Speed to insight
Go from raw listings to actionable insights in minutes—plug into your BI, sourcing stack, or NLP workflows without custom scripts.
Predictable budgets (pay-per-row)
Transparent pricing at $0.001 per row—no subscriptions. Pay only for the postings actually returned.
Scalable by design
Batch by multiple titles, companies, and geo_id locations; re-run the same preset to refresh snapshots and build time series.
Sharper targeting & prioritization
Filter by title keywords, company lists, location or geo_id, work type, job type, and recency to surface the most relevant roles first.
Easy integrations
Consistent schemas and common export formats make it simple to enrich CRMs, talent systems, and data warehouses.
Public-data, compliance-aware approach
We work with publicly available postings; you control downstream use in line with platform policies and regional regulations.

Why choose LinkedIn Jobs with RRT

Straightforward “scrape linkedin jobs” workflows—no devops or proxies to manage.
Consistent schemas enable like-for-like comparisons across regions, companies, and time.
Easy to schedule repeat runs for trend tracking and hiring velocity analysis.
Pay-per-row economics remove subscription lock-ins and simplify cost control.
Purpose-built filters for titles, companies, geo_id, work type, job type, and freshness.
Designed for ABM, recruiting ops, workforce planning, and competitive analysis.

That's why our service will be useful to you.

Use Cases & Industries

Our scraping tool is trusted by professionals across multiple industries to power insights, automation, and decisions.

Market Research

Analyze local businesses, competitors, and trends with real-time location data.

Geospatial Analytics

Plot POIs on maps for logistics, planning, and expansion strategies.

Local SEO & Lead Gen

Scrape target areas for contact data to boost campaigns or outreach.

B2B Sales Intelligence

Find and qualify business leads by category, location, and service area.

Franchise & Retail Planning

Explore underserved regions or locate potential partners and sites.

Consultants & Analysts

Offer insights or build custom data-driven tools for clients.

What You Can Do with LinkedIn Jobs Data

Our linkedin jobs scraper delivers structured hiring data for recruiting ops, talent intelligence, and ABM. We capture: job title, company name/ID, location/geo_id, work type (remote/on-site/hybrid), job type (full-time/part-time/contract), seniority/experience level, skills/keywords, description, posted time, apply link, and canonical posting identifiers. Use targeted filters to scrape jobs from linkedin across titles, companies, and regions.

Talent Intelligence & Workforce Planning

Track role demand, seniority mix, and skills requirements by company and region. Build hiring heatmaps and forecast needs by geo_id.

Competitive Hiring & Market Signals

Monitor which competitors are hiring, where they expand, and which stacks/skills they emphasize—informing product, sales, and ops.

ABM & Sales Research

Use job intent signals (titles, skills, tools) to prioritize accounts and tailor outreach. Align messaging to initiatives implied by open roles.

Recruiting Ops & Sourcing

Filter by title/keywords, job type, work type, and freshness to build precise pipelines for sourcers and recruiters.

Market Mapping & Geo Expansion

Compare hiring velocity across cities/regions with geo_id, uncover talent clusters, and assess expansion readiness.

NLP & Skills Intelligence

Extract skills from descriptions to map stacks and gaps. Feed text into embeddings or topic models for longitudinal trends.

Exports & Integrations

Hand off results in common formats or push into your CRM/ATS and warehouse. Stable company/posting identifiers simplify joins and deduping.

Compliance & Responsible Use

We provide publicly available postings in a structured format. Use responsibly and follow platform policies and regional regulations.

Use our data in ways even we haven’t imagined — plug it into your workflows, mix with any tools, and turn hours into minutes. Save time and money with our service.

Pricing Calculator

No subscriptions. No plans. Pay only for what you use.

Affordable data extraction — just $0.001 per row!

Typical tasks:

20k Google Maps rows ≈ $20
100k YouTube comments ≈ $100
250k Reddit comments ≈ $250

Each row includes platform-specific fields — e.g. Maps (name, phone, website, address), YouTube (text, author, likes), Reddit (title/text, author, score), and so on.

Rows:

Price:

Estimated scraping time: a few seconds

Safe payments via Stripe

Why Choose Red Rock Tech?

Fast Delivery

Download your data instantly — no waiting or emails.

Accurate Geodata

Each row includes precise coordinates and full address.

Transparent Pricing

No subscriptions, pay only for the data you need.

Smart Filters

Narrow down results by city, category, or country.

Ready to Use

Export in CSV or JSON format, perfect for devs & analysts.

Verified Results

We clean and verify all data before delivery.

Frequently
Asked
Questions

Job title, Company name/ID, Location/geo_id, Work type (remote/on-site/hybrid), Job type (full-time/part-time/contract), Seniority/Experience level, Skills/Keywords, Description, Posted/Updated time, Apply link, and stable posting identifiers.

Provide company IDs or names, and use location or geo_id. You can batch multiple companies/titles/regions in a single run.

Yes. Filter by work type, job type, and freshness windows. Combine with title/keyword filters for precise results.

No. Configure inputs in a guided UI—set titles, companies, locations (or geo_id), run, and download structured results.

CSV, XLSX, JSON.

Absolutely. It helps prioritize accounts and track competitor expansion, role demand, and skills signals.

No subscription—pay per row of returned postings.

We work with publicly available job postings. Use results responsibly and follow platform policies and regional regulations.

Explore Other Scrapers

YouTube Comments Scraper

Analyze audience voice around your brand or competitors to complement hiring signals.

TikTok Comments Scraper

Cross-check sentiment and topics across short-form platforms when evaluating employer brand.

Google Maps Area Scraper

Overlay hiring with POI density to understand local markets and partner ecosystems.

Ready to Get Started?

Launch your first scrape in seconds. No sign-up loops. No subscriptions. Just precise data — when you need it.