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Glassdoor Scraper API

Extract Glassdoor's three-in-one surface as JSON: open roles, employee reviews with star ratings, and crowdsourced salary reports tied to specific titles and employers.

Job postingsCompany dataSalary signalsGeo & remote
▸ Overview

Glassdoor is unique in pairing job listings with employee-submitted reviews, interview experiences, and salary ranges for named companies. The Glassdoor Scraper API returns each surface as validated JSON: postings with apply links, review text with pros, cons and ratings, and salary distributions by role.

Talent-intelligence and employer-branding teams use it to monitor reputation, benchmark compensation, and track sentiment trends over time. Reviews and salary figures are mapped to a canonical company profile so signals stay consistent across pulls.

Glassdoor Scraper API · request
# POST a target — get validated JSON back
curl https://api.crawlzo.com/v4/scrape \
  -H "Authorization: Bearer $CRAWLZO_KEY" \
  -d '{
  "url": "https://www.glassdoor.com/jobs",
  "type": "search",
  "geo": "us"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "title": "...",
    "company": "...",
    "location": "Remote, US",
    "salary": { "min": 120000, "max": 160000, "currency": "USD" },
    "posted": "2026-05-28",
    "work_type": "full_time"
  }
}
"type": "search", "geo": "us"
▸ What you can extract

Every public field, structured for you.

Glassdoor data parsed into clean, validated JSON. Pull any group below on its own, or combine them in a single request.

Job posting details

  • Title, company, location, work type
  • Description, requirements, benefits
  • Seniority, function, employment type
  • Posted date and job ID

Company details

  • Company name, industry, size
  • Rating and review summary
  • Logo, website, headquarters

Search results

  • Ranked roles per query + location
  • Remote / hybrid / on-site filter
  • Date-posted and salary filters
  • Pagination across result pages

Salary & compensation

  • Disclosed or estimated salary range
  • Currency and pay period
  • Equity / bonus signals where shown

Application signals

  • Applicant count and easy-apply flag
  • Repost and freshness signals
  • External application URL
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

Employer-reputation and sentiment monitoring

[ 02 ]

Compensation benchmarking by company

[ 03 ]

Interview-process intelligence

[ 04 ]

Employer-brand competitive tracking

▸ FAQ

Glassdoor scraping, answered.

Structured JSON straight from the API, or pushed to your stack natively — S3, BigQuery, Snowflake, Postgres, Kafka, or any HTTPS webhook. Call it from Python, Node, Go, Rust, or any HTTP client. The data lands where your pipeline already lives.

No. You pay for valid, schema-passing rows only. Retries, blocks, CAPTCHAs, and 5xxs are on us. If a run doesn't return data that conforms to the schema, it isn't billed.

Every request routes through the same engine behind our Web Unblocker API: compliant residential IPs, real browser fingerprints, TLS-level evasion, behaviour modelling, and built-in CAPTCHA solving. Hard targets become routine.

Yes. We respect robots policies, rate budgets, and ToS-aware allow/deny lists. We deliver and move on — no row-level retention beyond your replay window. GDPR DPA, PII redaction, and custom data residency available on request.

GLASSDOOR DATA · ON TAP

Start pulling Glassdoor data this week.

Tell us the Glassdoor surface you need and the shape you want it in. We'll come back in 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one.

Pay only for data delivered99.99% uptime SLA99% success rate100M+ proxies