🏢 Glassdoor Review Scraper — Reviews, Salaries, Interview Questions & Ratings

Extract structured Glassdoor data at scale — employee reviews with pros/cons + ratings, salary submissions by role + location, interview-question logs, and company-overview metrics. Built as a cheaper, no-contract alternative to LinkedIn Talent Insights ($8-30K/yr), Comparably Premium, kununu, and the now-paywalled Indeed Company Pages for HR analytics, employer-brand monitoring, and competitive intelligence.

Why Glassdoor Scraper Beats LinkedIn Talent, Comparably, kununu & Manual Research

Feature	NexGenData Glassdoor Scraper	LinkedIn Talent Insights	Comparably Premium	kununu (DACH)	Manual research
Cost	$3 per 1K results, pay-per-event	$8-30K / year seat	$$$ subscription	$$ subscription	Free (slow + biased)
Reviews with full text	Yes — pros, cons, advice	Aggregated rating only	Yes	Yes (DACH only)	Manual
Salary submissions	Yes — by role + location	Estimated	Yes	Yes (DACH only)	Manual
Interview-question log	Yes — by role	No	No	Limited	Manual
Bulk export	JSON / CSV / Excel	Plan-gated	Plan-gated	Plan-gated	DIY
Coverage	Global — every Glassdoor locale	LinkedIn graph	US-centric	DACH-only	N/A
API access	Apify REST + SDKs	OAuth-gated	OAuth-gated	OAuth-gated	None
Auth required	Apify token	LinkedIn seat	Account login	Account login	None
Monthly minimum	None	$$$$	$$$	$$	None

Most HR / recruiting teams pick this actor instead of the official Glassdoor for Employers analytics because that product caps you at your own company — you can't see competitor reviews or salary submissions. This actor pulls any company's public page, ships clean JSON, and is cheaper than an entire LinkedIn Talent seat for one analyst.

What You Get

Review records:

• company, company_url, review_date, overall_rating
• pros, cons, advice_to_management (full text)
• job_title, employment_status (current / former), location, years_at_company
• recommends, approves_of_ceo, business_outlook
• culture_rating, worklife_rating, compensation_rating, management_rating

Salary records:

• company, job_title, location, years_experience
• base_pay_min, base_pay_max, bonus, stock, total_comp
• currency, submitted_date

Interview records:

• company, job_title, location, interview_date
• difficulty (easy / average / hard), offer_received, interview_experience
• question_text, process_description

Use Cases

• Talent acquisition — compare competitor employer-brand sentiment week-over-week
• Compensation studies — aggregate base + bonus + equity by role + city + tenure
• Interview prep platforms — populate a Q&A library by company + role
• VC due diligence — flag culture risk before a Series B (sudden rating drops)
• PR + comms — monitor your CEO approval + business-outlook trends across regions
• HR analytics consultancies — bulk extracts for client benchmarking decks

Quick Start (Python)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/glassdoor-review-scraper").call(run_input={
    "companyUrl": "https://www.glassdoor.com/Overview/Working-at-Stripe-EI_IE671932.htm",
    "dataType": "reviews",
    "maxResults": 200
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["overall_rating"], item["pros"][:80])

Pricing — Pay Per Result

• Platform fee: $0.005 per start
• Result: $0.003 (i.e. $3 per 1,000 records)

A 5K-review competitive sweep on 10 competitors = $15. A monthly 1K-record HR dashboard = $3/month. No monthly minimum.

Related NexGenData HR & Recruiting Actors

Use case	Actor
Indeed job listings + salaries	indeed-job-scraper
LinkedIn jobs (multi-source)	linkedin-jobs-scraper
Hacker News "Who is Hiring" structured	hn-whos-hiring-scraper
Hiring-signal detector (intent layer)	hiring-signal-detector
H-1B visa salary database	h1b-visa-salary-search
Greenhouse career-page jobs	greenhouse-jobs-scraper
Lever career-page jobs	lever-jobs-scraper
WeWorkRemotely + Workable listings	workable-smartrecruiters-jobs-scraper
Salary data search (multi-source)	salary-data-search
HR compensation MCP for AI agents	hr-compensation-mcp-server

FAQ

Q: How fresh is the data? A: Live fetch per run — new reviews and salary submissions appear within minutes of going live on Glassdoor.

Q: Anonymity / PII? A: Glassdoor reviews are already published anonymously. We surface only what's on the public page; no user identification is attempted.

Q: What if a company has 10K+ reviews? A: Pass maxResults to cap. The actor paginates automatically and is happy to pull 5K+ in one run.

Q: Glassdoor changes its layout — does that break the actor? A: We patch within 24h of any layout change; the actor's parser is maintained alongside the upstream HTML.

Q: Legal status? A: We fetch public Glassdoor pages the same way a logged-out browser does. Output is metadata about public reviews and salary submissions.

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How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

• Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
• Result / item: charged per item written to the default dataset
• No charge for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link — you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

• Apify console — point-and-click run
• Apify API — REST + webhooks
• Apify Python / JS SDKs — programmatic batch
• Zapier, Make.com, n8n — official integrations
• MCP — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
• Schedules — built-in cron for daily / weekly / monthly runs
• Webhooks — POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome — high-demand features ship in the next version.

Home: thenextgennexus.com Full catalog: apify.com/nexgendata