# Glassdoor Scraper — Reviews, Jobs, Salaries & AI Insights (`scrapepilot/glassdoor-scraper-reviews-jobs-salaries-ai-insights`) Actor

Scrape Glassdoor reviews, jobs, salaries, interviews, benefits, company overviews & AI employer intelligence. Real employee data with sub-ratings, salary percentiles, interview questions. Zero login. Clean JSON, proxy ready.

- **URL**: https://apify.com/scrapepilot/glassdoor-scraper-reviews-jobs-salaries-ai-insights.md
- **Developed by:** [Scrape Pilot](https://apify.com/scrapepilot) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 employee review scrapeds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

***

## ⭐ Glassdoor Scraper — Reviews, Jobs, Salaries, Interviews & AI Employer Intelligence

***

**Glassdoor Scraper** — extract 100% genuine employee reviews, job postings, salary estimates, interview experiences, benefits feedback, company overviews, culture ratings, office locations, and **AI Employer Intelligence** (pain-point analysis, attrition risk, quick wins) at scale. **No login required.** Built for recruiters, HR teams, investors, market researchers, and AI training datasets.

If you searched for **glassdoor scraper**, **glassdoor reviews scraper**, **glassdoor salary scraper**, **glassdoor jobs scraper**, **glassdoor interview questions API**, **glassdoor company reviews extractor**, **employer intelligence tool**, **AI HR analytics**, **company culture ratings**, **attrition risk analyzer**, or a **no-login glassdoor data extractor** — this is the actor you're looking for. ✅

***

### 💡 What is the Glassdoor Scraper?

Glassdoor is the world's #1 platform for employee reviews, salaries, interview experiences, and employer insights — covering **1M+ companies** and **100M+ data points**. This **Glassdoor scraper** turns that data into a structured, ready-to-use dataset.

Just feed it a **company URL** (Google, Amazon, Microsoft, Meta, Apple, Reliance, or any employer), and the actor returns everything including:

- ⭐ Employee Reviews (8 sub-ratings, pros, cons, advice, employer responses)
- 💼 Active Job Postings (with salary bands & resume keyword matching)
- 💰 Salary Estimates (P10/P25/P50/P75/P90 across base, bonus, stock, total)
- 🎤 Interview Questions, difficulty, process & outcomes
- 🏥 Benefits Reviews (category, comments, ratings)
- 🏢 Company Overview (funding, revenue, headquarters, CEO, industry)
- 🌍 Culture & Diversity Ratings (gender, race, LGBTQ+, veteran)
- 📍 Office Locations (with coordinates)
- 🧠 **AI Employer Intelligence** — pain point analysis, severity, attrition risk, quick wins

All data is **100% real**. No fabricated entries.

***

### 🔥 SEO Keywords (Why This Glassdoor Scraper Ranks)

This actor ranks for **glassdoor scraper**, **glassdoor reviews scraper**, **glassdoor salary scraper**, **glassdoor jobs scraper**, **glassdoor interview questions**, **glassdoor company data**, **glassdoor API alternative**, **employer intelligence**, **employee review extractor**, **salary benchmark API**, **interview difficulty data**, **company culture ratings**, **diversity and inclusion ratings**, **attrition risk analyzer**, **AI HR analytics**, **employer brand monitoring**, **recruiting intelligence**, **compensation benchmarking**, **no login glassdoor scraper**, **apify glassdoor actor**, **glassdoor data API**, **HR data scraper**.

***

### 🚀 Key Features

| Feature | Description |
|---------|-------------|
| **8 Scrape Commands** | `reviews`, `jobs`, `salaries`, `interviews`, `benefits`, `overview`, `culture`, `locations`, `painPointAnalysis`. |
| **Zero Login Required** | No Glassdoor account, no cookie, no API key. |
| **Keyword Job Search** | Search jobs by keyword + location across all Glassdoor employers. |
| **Resume Keyword Matching** | Auto-calculates match score per job against your skills list. |
| **Full Reviews with 8 Sub-Ratings** | Overall, WLB, culture, D\&I, career, comp, leadership, CEO approval, business outlook. |
| **Salary Percentiles** | P10/P25/P50/P75/P90 across base, cash bonus, stock, and total comp. |
| **Interview Deep Dive** | Difficulty, experience, outcome, full process description, sample questions. |
| **Benefits Ratings** | Verified employee comments + benefit category breakdowns. |
| **Company Enrichment** | Funding, investors, employee count, LinkedIn, revenue, industry. |
| **Culture & Diversity** | Gender, race/ethnicity, LGBTQ+, veteran demographic ratings. |
| **AI Employer Intelligence** | Complaint themes, severity scoring, attrition risks, and quick wins. |
| **Monitoring Mode** | Tracks seen IDs across runs so scheduled runs return only new items. |
| **Multi-URL Support** | Scrape multiple companies in one run with fair budget distribution. |
| **Pay-Per-Event Pricing** | Only charged for successfully delivered items. |

***

### 📥 Input Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `command` | string | Yes | `"reviews"` | `reviews`, `jobs`, `salaries`, `interviews`, `benefits`, `overview`, `culture`, `locations`, `painPointAnalysis`. |
| `startUrls` | array | No | Google Reviews | Company URLs like `https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm`. |
| `searchJobsByKeyword` | boolean | No | `false` | Enable keyword job search mode. |
| `searchKeyword` | string | No | `""` | Job keyword (e.g. `"software engineer"`). |
| `searchLocation` | string | No | `""` | Location (e.g. `"Remote"` or `"San Francisco, CA"`). |
| `jobType` | string | No | `"all"` | `full-time`, `part-time`, `contract`, `internship`. |
| `remoteWorkType` | string | No | `"all"` | `remote`, `hybrid`, `onsite`. |
| `resumeKeywords` | array | No | `[]` | Skills for auto match-score per job. |
| `includeAllReviews` | boolean | No | `true` | Fetch all reviews up to `maxItems`. |
| `sortReviewsBy` | string | No | `"DATE"` | `DATE`, `RATING`, `HELPFUL`. |
| `includes` | array | No | `[]` | Keyword filters on review text. |
| `reviewsStartDate` | string | No | `""` | Earliest review date (YYYY-MM-DD). |
| `painPointAnalysis` | boolean | No | `false` | Auto-run AI Employer Intelligence on reviews. |
| `monitoringModeForReviews` | boolean | No | `false` | Skip previously seen reviews across runs. |
| `includeCompanyReviewStats` | boolean | No | `true` | Include rating distribution block. |
| `includeAllSalaries` | boolean | No | `true` | Fetch all salary estimates. |
| `includeCompanyInterviewStats` | boolean | No | `true` | Include interview difficulty distribution. |
| `includeCompanyBenefitsStats` | boolean | No | `true` | Include benefits category stats. |
| `maxItems` | integer | No | `100` | Max total items to return. |
| `maxConcurrency` | integer | No | `5` | Parallel workers. |
| `proxy` | object | No | – | Apify proxy config. Residential recommended. |

***

### 📤 Output Schemas (All Commands)

#### 1. `command: "reviews"` — Employee Review

```json
{
  "__typename": "EmployerReviewRG",
  "reviewId": 140610000,
  "summary": "Great culture, smart peers, excellent benefits",
  "ratingOverall": 5,
  "ratingWorkLifeBalance": 4,
  "ratingCultureAndValues": 5,
  "ratingDiversityAndInclusion": 5,
  "ratingCareerOpportunities": 4,
  "ratingCompensationAndBenefits": 5,
  "ratingSeniorLeadership": 4,
  "ratingCeo": "APPROVE",
  "ratingBusinessOutlook": "POSITIVE",
  "ratingRecommendToFriend": "POSITIVE",
  "pros": "The colleagues here are incredibly talented, kind, and supportive...",
  "cons": "Decision-making has slowed down in recent years...",
  "advice": "Empower ICs to make architectural decisions faster...",
  "jobTitleText": "Senior Software Engineer",
  "locationName": "Mountain View, CA",
  "employmentStatus": "FORMER",
  "lengthOfEmployment": 4,
  "shortName": "Google",
  "reviewDateTime": "2026-10-15T04:08:59.000"
}
```

#### 2. `command: "jobs"` — Job Posting

```json
{
  "__typename": "JobViewHeader",
  "jobListingId": "1009000000001",
  "jobTitleText": "Senior Software Engineer",
  "locationName": "San Francisco, CA",
  "needsCommission": false,
  "payCurrency": "USD",
  "payPeriod": "ANNUAL",
  "payPeriodAdjustedPay": {
    "p10": 175000.0,
    "p90": 240000.0
  },
  "salarySource": "EMPLOYER_PROVIDED",
  "easyApply": true,
  "seoJobLink": "https://www.glassdoor.com/job-listing/...",
  "matchScore": 87.5,
  "matchedSkills": ["python", "aws"],
  "missingSkills": ["kubernetes"]
}
```

#### 3. `command: "salaries"` — Salary Estimate

```json
{
  "__typename": "AggregatedSalaryEstimatesResult",
  "jobTitle": { "text": "Senior Software Engineer" },
  "currency": { "code": "USD", "symbol": "$" },
  "payPeriod": "ANNUAL",
  "salaryCount": 980,
  "basePayStatistics": {
    "mean": 195000.0,
    "percentiles": [
      { "ident": "P10", "value": 145200.0 },
      { "ident": "P25", "value": 165000.0 },
      { "ident": "P50", "value": 195000.0 },
      { "ident": "P75", "value": 220000.0 },
      { "ident": "P90", "value": 245000.0 }
    ]
  },
  "cashBonusStatistics": { "mean": 25000.0 },
  "stockBonusStatistics": { "mean": 50000.0 },
  "totalPayStatistics": {
    "mean": 270000.0,
    "percentiles": [
      { "ident": "P25", "value": 215000.0 },
      { "ident": "P50", "value": 270000.0 },
      { "ident": "P90", "value": 375000.0 }
    ]
  }
}
```

#### 4. `command: "interviews"` — Interview Experience

```json
{
  "__typename": "InterviewIG",
  "id": 90000001,
  "difficulty": "DIFFICULT",
  "experience": "POSITIVE",
  "outcome": "OFFER_ACCEPTED",
  "jobTitle": { "text": "Software Engineer" },
  "processDescription": "Initial recruiter screen, technical phone screen on CoderPad...",
  "userQuestions": [
    {
      "question": "Design a distributed rate limiter that handles 100,000 requests per second...",
      "answerCount": 4
    }
  ],
  "reviewDateTime": "2026-10-10T04:08:59.000"
}
```

#### 5. `command: "benefits"` — Benefits Review

```json
{
  "__typename": "BenefitReview",
  "id": 10500001,
  "rating": 5,
  "currentJob": true,
  "userEnteredJobTitle": "Software Engineer",
  "city": { "name": "Mountain View, CA" },
  "benefitComments": [
    {
      "comment": "Comprehensive medical, dental, and vision with 100% employer-paid premiums...",
      "helpfulVotes": 3
    }
  ],
  "companyBenefitStats": {
    "overallBenefitRating": 4.5,
    "totalBenefitReviews": 42
  }
}
```

#### 6. `command: "overview"` — Company Overview

```json
{
  "__typename": "Employer",
  "id": 9079,
  "shortName": "Google",
  "name": "Google",
  "website": "https://about.google/",
  "headquarters": "Mountain View, CA",
  "size": "10000+ Employees",
  "yearFounded": 1998,
  "type": "Company - Public",
  "revenue": "$10+ billion (USD)",
  "primaryIndustry": {
    "industryId": 200063,
    "industryName": "Internet & Web Services"
  },
  "ratings": { "overallRating": 4.3, "ceoRating": 0.79 },
  "counts": { "reviewCount": 48200, "salaryCount": 115000 },
  "overview": {
    "mission": "To organize the world's information and make it universally accessible and useful."
  }
}
```

#### 7. `command: "culture"` — Diversity Ratings

```json
{
  "__typename": "DemographicRatings",
  "category": "gender",
  "categoryRatings": [
    {
      "categoryValue": "woman",
      "ratings": { "overallRating": 4.1, "reviewCount": 1420 }
    }
  ]
}
```

#### 8. `command: "locations"` — Office Location

```json
{
  "__typename": "EmployerOfficeAddressEG",
  "id": 109079,
  "cityName": "Mountain View",
  "administrativeAreaName1": "CA",
  "countryName": "US",
  "latitude": 37.422,
  "longitude": -122.084
}
```

#### 9. `command: "painPointAnalysis"` — AI Employer Intelligence

```json
{
  "__typename": "PainPointAnalysis",
  "employerId": 9079,
  "employerName": "Google",
  "totalReviewsAnalyzed": 50,
  "overallSentiment": "POSITIVE",
  "overallRating": 4.3,
  "painPoints": [
    {
      "theme": "Bureaucracy & Layers of Middle Management",
      "severity": 4,
      "frequencyPercent": 24.5,
      "sampleQuote": "Decision-making has slowed down significantly; simple product approvals now require navigating multiple layers of VP reviews.",
      "department": "Engineering & Product"
    },
    {
      "theme": "Promotion Rubrics & Calibration Frustration",
      "severity": 4,
      "frequencyPercent": 21.0,
      "sampleQuote": "Perf calibration feels increasingly political and disconnected from everyday engineering contributions.",
      "department": "Engineering"
    }
  ],
  "standoutStrengths": [
    "World-class, humble, and exceptionally talented peer group",
    "Top-tier compensation packages, equity liquidity, and retirement matching",
    "Exceptional internal technical infrastructure and compute resources"
  ],
  "attritionRiskSignals": [
    {
      "signal": "Senior technical talent voicing burnout over organizational friction rather than technical challenges",
      "riskLevel": "HIGH",
      "affectedRoles": ["Staff Software Engineer", "Senior Product Manager"]
    }
  ],
  "quickWins": [
    "Flatten cross-org approval committees for feature launches under a defined threshold",
    "Publish transparent promotion calibration rubrics with explicit manager accountability"
  ],
  "analyzedAt": "2026-10-16T00:00:00Z"
}
```

***

### 📚 Full Input & Output Examples

#### 🔹 Example 1 — Scrape Google Reviews

**Input:**

```json
{
  "command": "reviews",
  "startUrls": [
    { "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" }
  ],
  "maxItems": 50,
  "sortReviewsBy": "DATE",
  "includeCompanyReviewStats": true
}
```

**Output:** Array of `EmployerReviewRG` records as shown above.

***

#### 🔹 Example 2 — Keyword Job Search

**Input:**

```json
{
  "command": "jobs",
  "searchJobsByKeyword": true,
  "searchKeyword": "software engineer",
  "searchLocation": "Remote",
  "jobType": "full-time",
  "remoteWorkType": "remote",
  "maxItems": 100,
  "resumeKeywords": [
    { "keyword": "python" },
    { "keyword": "aws" },
    { "keyword": "kubernetes" }
  ]
}
```

**Output:** Array of `JobViewHeader` records with `matchScore`, `matchedSkills`, and `missingSkills` per job.

***

#### 🔹 Example 3 — Salary Benchmark

**Input:**

```json
{
  "command": "salaries",
  "startUrls": [
    { "url": "https://www.glassdoor.com/Salary/Amazon-Salaries-E6036.htm" }
  ],
  "maxItems": 30
}
```

**Output:** Array of `AggregatedSalaryEstimatesResult` records with base/bonus/stock/total percentiles.

***

#### 🔹 Example 4 — Interview Intelligence

**Input:**

```json
{
  "command": "interviews",
  "startUrls": [
    { "url": "https://www.glassdoor.com/Interview/Meta-Interview-Questions-E40772.htm" }
  ],
  "maxItems": 20
}
```

**Output:** Array of `InterviewIG` records with questions, difficulty, process, and outcome.

***

#### 🔹 Example 5 — Benefits & Culture

**Input:**

```json
{
  "command": "benefits",
  "startUrls": [
    { "url": "https://www.glassdoor.com/Benefits/Apple-US-Benefits-EI_IE1138.0,5_IL.6,8_IN1.htm" }
  ],
  "maxItems": 20
}
```

**Output:** Array of `BenefitReview` records with verified comments.

***

#### 🔹 Example 6 — AI Employer Intelligence

**Input:**

```json
{
  "command": "painPointAnalysis",
  "startUrls": [
    { "url": "https://www.glassdoor.com/Reviews/Amazon-Reviews-E6036.htm" }
  ],
  "painPointAnalysis": true
}
```

**Output:** A single `PainPointAnalysis` object with themes, severity scores, attrition risk, and quick wins.

***

#### 🔹 Example 7 — Multi-Company Batch Scrape

**Input:**

```json
{
  "command": "overview",
  "startUrls": [
    { "url": "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.htm" },
    { "url": "https://www.glassdoor.com/Overview/Working-at-Microsoft-EI_IE1651.htm" },
    { "url": "https://www.glassdoor.com/Overview/Working-at-Meta-EI_IE40772.htm" }
  ],
  "maxItems": 10
}
```

**Output:** Array of `Employer` overview records with rich metadata.

***

#### 🔹 Example 8 — Monitoring Mode for New Reviews

**Input:**

```json
{
  "command": "reviews",
  "startUrls": [
    { "url": "https://www.glassdoor.com/Reviews/Apple-Reviews-E1138.htm" }
  ],
  "monitoringModeForReviews": true,
  "maxItems": 100
}
```

Only new reviews (not seen in previous runs) are pushed.

***

### 💰 Pricing (Pay-Per-Event)

Only charged for **successfully delivered items**. Empty runs are **$0** (except actor start).

| Event | Event Name | Price / 1K | When Charged |
|-------|------------|------------|--------------|
| **Employee Review** | `review-scraped` | **$2.00 / 1,000** | Per review delivered. |
| **Job Posting** | `job-scraped` | **$2.00 / 1,000** | Per job delivered. |
| **Salary Estimate** | `salary-scraped` | **$3.00 / 1,000** | Per salary record delivered. |
| **Interview Experience** | `interview-scraped` | **$3.00 / 1,000** | Per interview delivered. |
| **Benefits Review** | `benefit-scraped` | **$2.00 / 1,000** | Per benefits record delivered. |
| **Company Overview** | `overview-scraped` | **$10.00 / 1,000** | Per overview delivered. |
| **AI Employer Intelligence** | `pain-point-analyzed` | **$35.00 / 1,000** | Per AI analysis delivered. |
| **Actor Start** | `apify-actor-start` | **$0.005 / run** | One-time startup fee. |

**Example costs:**

- **100 reviews** = 100 × $0.002 = **$0.20** + $0.005 start = **$0.205**
- **500 jobs** = 500 × $0.002 = **$1.00** + $0.005 start = **$1.005**
- **50 salaries** = 50 × $0.003 = **$0.15** + $0.005 start = **$0.155**
- **1 AI pain-point analysis** = **$0.035** + $0.005 start = **$0.04**

***

### 🛠 How to Use This Glassdoor Scraper on Apify

1. **Create a task** with this actor.
2. **Choose your command** (`reviews`, `jobs`, `salaries`, `interviews`, `benefits`, `overview`, `culture`, `locations`, `painPointAnalysis`).
3. **Paste your company URLs** or enable keyword job search.
4. **Set `maxItems`** to control the total volume.
5. **Enable residential proxies** — recommended for high-volume runs.
6. **Run** — data lands in the Dataset.
7. **Export** — download as JSON, CSV, or Excel.

#### Running via API

```bash
curl -X POST "https://api.apify.com/v2/acts/your-username~glassdoor-scraper/runs" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "command": "reviews",
    "startUrls": [{"url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"}],
    "maxItems": 50
  }'
```

***

### 🎯 Use Cases (Who Uses This Glassdoor Scraper)

- **Recruiters & HR teams** — benchmark employer ratings and culture.
- **Investors & analysts** — monitor attrition risk and sentiment shifts.
- **Compensation consultants** — extract percentile-based salary data.
- **Job boards & aggregators** — sync Glassdoor jobs into your platform.
- **AI/ML teams** — build labeled corpora from reviews and interviews.
- **Employer branding** — track sentiment and respond to pain points.
- **Career coaches** — guide clients using interview difficulty data.
- **Academic researchers** — study workplace culture, D\&I, and compensation trends.
- **Startup founders** — research competitor hiring pace and team size.
- **DEI consultants** — analyze demographic ratings across companies.

***

### ❓ Frequently Asked Questions

**1. Do I need a Glassdoor account?**\
No. The actor works anonymously — no login, no cookie, no API key.

**2. Can I search jobs by keyword?**\
Yes. Set `searchJobsByKeyword: true` and provide a `searchKeyword` + `searchLocation`.

**3. What is `painPointAnalysis`?**\
AI Employer Intelligence: clusters reviews into complaint themes, scores severity, identifies attrition risks, and proposes quick wins. Perfect for HR dashboards.

**4. What's the difference between `reviews` and `culture`?**\
`reviews` returns individual employee reviews. `culture` returns aggregate demographic ratings (gender, race, LGBTQ+, veteran).

**5. Does monitoring mode really skip duplicate reviews?**\
Yes. Seen review IDs are stored in the actor's Key-Value Store so scheduled runs return only new items.

**6. What currencies are supported?**\
Salaries are returned in `USD` by default. Native currency is preserved when shown by Glassdoor.

**7. How accurate is the AI pain-point analysis?**\
It clusters real review text (pros/cons/summary) into ranked themes with severity and frequency. 100% based on genuine reviews.

**8. Can I filter reviews by keyword?**\
Yes. Use `includes` array. Only reviews matching at least one keyword will be returned.

**9. What's the difference between `includeAllReviews` and `maxItems`?**\
`includeAllReviews: true` fetches all available reviews (subject to `maxItems`). Setting it `false` returns only featured reviews.

**10. Do I need a proxy?**\
Not for small runs. For 500+ items per run, use Apify residential proxies.

**11. Can I run this on a schedule?**\
Yes. Combine with Apify Scheduler and enable `monitoringModeForReviews: true` to build a live employer intelligence feed.

**12. What if I get 0 results?**\
Empty runs cost $0 (no charge for PPE). Only the actor start fee ($0.005) applies.

***

### 📝 Technical Notes

- Built with a production-grade HTTP pipeline optimized for Glassdoor's modern React SSR pages.
- Handles anonymous access, optional proxy configuration, and payload integrity automatically.
- Runs entirely server-side on Apify — no local setup required.
- Empty runs (0 results) are always free (no PPE charges). You only pay for successfully delivered records.
- **Robust error handling:** a single item failure never stops the run. Failures are logged and skipped.
- **Duplicate protection:** review IDs are deduplicated automatically within and across runs.
- **Monitoring state** and per-run summaries are stored in Apify Key-Value Store for scheduled monitoring.
- **Multi-URL support** with fair budget distribution across all provided targets.
- All records are validated for JSON-serializable output and sanitized for special characters.

***

### 🔗 Related Actors

- **[HiringCafe Scraper — Real-Time Jobs & Salaries](https://apify.com/your-username/hiringcafe-scraper)**
- **[RedNote Scraper — Xiaohongshu Posts, Comments, Profiles & Video](https://apify.com/your-username/rednote-scraper)**
- **[LinkedIn Jobs Scraper — Ratings, Pros & Cons](https://apify.com/your-username/linkedin-jobs-scraper)**
- **[Weibo Scraper — Posts, Comments, Hot Search & Black Cat](https://apify.com/your-username/weibo-scraper)**

***

### 📄 License

***

***

**Start scraping Glassdoor today — reviews, jobs, salaries, interviews, AI employer intelligence. Zero login required.**

````



# Actor input Schema

## `startUrls` (type: `array`):

One or more Glassdoor company URLs (Reviews, Jobs, Salaries, Interviews, Overview, or Benefits tab). Mix companies freely.
## `command` (type: `string`):

Which dataset to extract from the company URL.
## `painPointAnalysis` (type: `boolean`):

Analyze employee reviews with AI to cluster ranked complaint themes (management, compensation, culture, work-life balance), severity (1-5), attrition-risk signals, standout strengths, and quick wins.
## `includeAllReviews` (type: `boolean`):

Pull the complete review history past Glassdoor's ~200-review UI cap across all available languages and years.
## `sortReviewsBy` (type: `string`):

Sort order for reviews. 'DATE' retrieves the newest reviews first.
## `includes` (type: `array`):

Only return reviews that contain these specific keywords or phrases.
## `reviewsStartDate` (type: `string`):

Only return reviews posted on or after this date (format: YYYY-MM-DD).
## `monitoringModeForReviews` (type: `boolean`):

When enabled, remembers previously scraped review IDs and returns only new reviews added since the previous run.
## `includeCompanyReviewStats` (type: `boolean`):

Attach aggregate review ratings, star distributions, and demographic ratings to review rows.
## `searchJobsByKeyword` (type: `boolean`):

Turn ON to search Glassdoor job listings directly using keywords and filters without needing a company URL.
## `searchKeyword` (type: `string`):

Job title or skill to search for (e.g. 'Software Engineer', 'Data Analyst', 'Registered Nurse').
## `searchLocation` (type: `string`):

City, state, or country to search jobs in (e.g. 'San Francisco, CA', 'New York, NY', 'Remote').
## `jobType` (type: `string`):

Filter by job employment type.
## `remoteWorkType` (type: `string`):

Filter by workplace environment.
## `minSalary` (type: `string`):

Minimum estimated salary threshold in USD (e.g. '70000', '100000').
## `maxSalary` (type: `string`):

Maximum estimated salary threshold in USD (e.g. '150000', '250000').
## `minRating` (type: `string`):

Filter jobs by minimum employer Glassdoor rating (e.g. '3.5', '4.0').
## `maxDaysOld` (type: `string`):

Only return jobs posted within N days (e.g. '3', '7', '14', '30').
## `deepSearch` (type: `boolean`):

Harvests related job titles returned by Glassdoor and re-runs the search to gather comprehensive coverage.
## `saveOnlyUniqueItems` (type: `boolean`):

Automatically drop duplicate job postings or reviews based on unique IDs.
## `includeAllSalaries` (type: `boolean`):

Pull the full aggregated salary breakdown with base, bonus, stock, and total compensation percentiles.
## `includeCompanyInterviewStats` (type: `boolean`):

Attach difficulty ratings, interview experience percentages, and application channel stats.
## `includeCompanyBenefitsStats` (type: `boolean`):

Attach employer benefit ratings across Health, Financial, Family, Vacation, and Perks categories.
## `maxItems` (type: `integer`):

Maximum number of rows (reviews, jobs, salaries, interviews) to return per company URL or job search.
## `maxConcurrency` (type: `integer`):

Maximum concurrent requests.
## `maxRequestRetries` (type: `integer`):

Number of retries for failed requests.
## `proxy` (type: `object`):

Residential proxies are recommended to bypass Cloudflare and rate limits.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
    }
  ],
  "command": "reviews",
  "painPointAnalysis": false,
  "includeAllReviews": true,
  "sortReviewsBy": "DATE",
  "monitoringModeForReviews": false,
  "includeCompanyReviewStats": true,
  "searchJobsByKeyword": false,
  "jobType": "all",
  "remoteWorkType": "all",
  "deepSearch": false,
  "saveOnlyUniqueItems": true,
  "includeAllSalaries": true,
  "includeCompanyInterviewStats": true,
  "includeCompanyBenefitsStats": true,
  "maxItems": 100,
  "maxConcurrency": 5,
  "maxRequestRetries": 3,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
````

# Actor output Schema

## `results` (type: `string`):

Collection of extracted Glassdoor records including un-capped employee reviews with 8 sub-ratings, active job postings, salary percentiles, interview experiences, benefits, and AI Employer Intelligence.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapepilot/glassdoor-scraper-reviews-jobs-salaries-ai-insights").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm" }] }

# Run the Actor and wait for it to finish
run = client.actor("scrapepilot/glassdoor-scraper-reviews-jobs-salaries-ai-insights").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
    }
  ]
}' |
apify call scrapepilot/glassdoor-scraper-reviews-jobs-salaries-ai-insights --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapepilot/glassdoor-scraper-reviews-jobs-salaries-ai-insights"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/rVCzoSGeVvYdP21tT/builds/jiMhtAyGodcNdx6Ix/openapi.json