Indeed, LinkedIn Jobs & Job Board Scraper
Extract job postings, company data, salary ranges, job descriptions and posting dates from Indeed, LinkedIn Jobs, Glassdoor, Monster and 20+ job boards. One schema across all sources.
- indeed.com
- linkedin.com/jobs
- glassdoor.com
- monster.com
- stepstone.de
- totaljobs.co.uk
- seek.com.au
- ziprecruiter.com
Data Fields Extracted
Normalized job-posting schema across all supported job boards.
Identifiers
- Company name
Jobs Context
- Job title
- Employment type
- Experience level
- Application URL
Location & Shipping
- Location
Dates & Metadata
- Salary range
- Posted date & job ID
Content & Media
- Job description (HTML)
- Skills / keywords
Specs & Attributes
- Company size & industry
What Teams Build With It
Hiring Intelligence
Track which companies are hiring, for what roles, at what seniority — a leading indicator of strategic direction, funding and growth. Used by competitive intel teams and investors.
Salary Benchmarking
Build real-time salary benchmarks by role, seniority and geography using posted salary ranges. More current than annual surveys.
HR Tech & ATS Products
HR tech platforms ingest live job data to power matching algorithms, skills graphs and recruitment analytics.
Candidate Discovery
Recruiters and agencies monitor job postings across platforms to identify companies actively hiring their target candidate profile.
Investor / M&A Signal
Growing headcount in specific departments signals product bets and capital deployment — VC and PE firms use it for diligence.
The Hard Parts — Handled
Job boards aggressively rate-limit and change layouts frequently. ScrapeWise normalizes across all sources.
Anti-bot & CAPTCHA
- LinkedIn Jobs scraping with rotating sessions and anti-bot evasion
Rendering & parsing
- Indeed's client-side rendering and search-result pagination handled
- Company normalization — same company listed on multiple boards deduped
- Skill extraction from unstructured job descriptions using structured parsing
- Duplicate detection — same posting cross-listed on multiple boards flagged
Proxies & geography
- Salary parsing and currency normalization (hourly / annual / total comp)
- Residential proxies with geo-targeting per country
Handled for you
- Keyword, location, company and industry-based search modes
Job Board Scraper — Questions
Common questions about job board data extraction.
Yes, public LinkedIn job postings are scrapable. We do not scrape private profiles, candidate data or anything behind a LinkedIn login — only public job postings and their public company data.
Ready to pull Indeed, data into your stack?
Start free — or talk to our team about your specific fields, refresh cadence and volume.