Home · Services · Job Board Scraping for HR Tech & Staffing
🔥 High demand in 2026

Job Board Scraping for HR Tech & Staffing

Job listings, salary data, skill requirements, and company hiring signals from Indeed, LinkedIn Jobs, Glassdoor, ZipRecruiter, and other US job boards — structured for HR tech, staffing intelligence, and labor market analytics.

3–7 days  pilot turnaround Hourly / Daily  refresh CSV · JSON · API  delivery

HR tech platforms, ATS providers, staffing companies, labor market researchers, and compensation analytics teams all need the same dataset: a clean, structured feed of US job postings across the major boards. We extract from Indeed, LinkedIn Jobs (public listings), Glassdoor, ZipRecruiter, and CareerBuilder — deliver normalized JSON or CSV with extracted skills, salary ranges, and company metadata.

What you get

Engineered for real production use.

Full job posting details

Title, company, location, full job description, employment type (full-time/contract/part-time), posting date, days active, and apply URL.

Salary range data

Salary minimum, maximum, and currency where the board surfaces it. Bonuses, equity, and benefits captured where structured.

Skills & requirements extraction

Required and preferred skills extracted as structured tags (Python, React, AWS, SQL, etc.). Education and years-of-experience requirements parsed from description.

Remote / on-site classification

Remote, hybrid, on-site classification based on posting flags and description analysis. US location normalized to city / state / metro.

Company hiring signals

Number of open positions per company, hiring velocity over time, function/department mix, and geographic concentration.

Cross-board deduplication

Same job posted on Indeed, LinkedIn, and ZipRecruiter deduplicated into a canonical posting with source-level details retained.

Sample Schema

This is what your job board scraping output looks like.

job-board-scraping_sample.csv ● LIVE SCHEMA
SourceJob IDTitleCompanyLocationSalaryRemotePostedSkills (tags)Captured (UTC)
IndeedIND-887412Senior Backend EngineerAcme SaaSAustin, TX$140K–$180KRemote2026-05-15Python, Postgres, AWS2026-05-19 10:30
LinkedInLI-9482011Product Manager — GrowthBeta CoSan Francisco, CA$160K–$200KHybrid2026-05-17PM, A/B testing, SQL2026-05-19 10:30
GlassdoorGD-2299441Field Sales RepAtlas HVACPhoenix, AZ$65K + commissionOn-site2026-05-18Sales, HVAC, B2C2026-05-19 10:30

Sources we typically cover: Indeed.com · LinkedIn Jobs (public listings) · Glassdoor · ZipRecruiter · CareerBuilder · Monster · SimplyHired · Dice (tech)

Who uses this

Teams that ship with this data weekly.

HR tech & ATS platforms

Surface relevant job listings to candidates, populate company hiring profiles, and power match algorithms.

Staffing & recruitment intelligence

Track open roles across competitors and target accounts. Identify market opportunities and territory hiring trends.

Labor market research

Build labor market analytics products on top of structured US job posting data — useful for economists, policy researchers, and workforce strategists.

Compensation benchmarking

Aggregate salary ranges by role, geography, and skill set for compensation analytics and benchmarking tools.

Process

From requirements to delivery — fast.

01

Requirements

30-min call to confirm sources, fields, frequency, and output schema.

02

Pilot in 3–7 days

Sample dataset delivered for your team to validate coverage and quality.

03

Production + SLA

Scheduled jobs, monitoring, retries, reporting — backed by uptime SLA.

Get a sample dataset in 3–7 days.

Tell us the sources and fields you need. We will reply within 1 business day with a sample schema and a fast estimate.

Request sample data
FAQ

About job board scraping.

Is LinkedIn scraping legal?

We extract only publicly accessible LinkedIn job listings (no login-gated content, no profile data). The 2022 hiQ v. LinkedIn ruling supported access to publicly visible data. We do not bypass authentication or access private content.

How fresh is the data?

Daily refresh is standard. Hourly is available for high-velocity categories (tech, healthcare). New postings typically appear in our feed within 24 hours of going live on the source board.

Do you extract structured skills from descriptions?

Yes — we run skill extraction post-processing using a curated taxonomy plus pattern matching. Output includes both raw and structured tag fields.

Can you cover specialized job boards?

Yes — Dice (tech), Built In (startups), AngelList/Wellfound, Idealist (nonprofits), and industry-specific boards can be added. Tell us your target boards in the inquiry.