# Glassdoor Company Scraper - Most Comprehensive (`kaix/glassdoor-company-scraper`) Actor 🔥 ~$0.5/1K companies 🔥 Scrape comprehensive Glassdoor company data including profile, ratings, demographics, salaries, interviews, benefits, and job listings. - **URL**: https://apify.com/kaix/glassdoor-company-scraper.md - **Developed by:** [Kai](https://apify.com/kaix) (community) - **Categories:** Lead generation, Jobs, SEO tools - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.40 / 1,000 companies This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Glassdoor Company Scraper Scrape comprehensive company data from any Glassdoor employer page. Profile, ratings, demographics, salaries, interviews, benefits, jobs, photos, and more. Structured JSON output. Just paste a Glassdoor company URL and hit Run. ### What you get - **Profile**: name, headquarters, revenue, size, website, type, year founded, industry/sector, logos, CEO, description, mission - **Ratings**: overall + 11 sub-ratings, CEO approval, recommend-to-friend, star distributions (1-5) for 7 categories - **Demographics**: ratings broken down by gender, race/ethnicity, disability, parent/caregiver, veteran status - **Review locations**: cities/metros where reviews were submitted, with state and country - **Office locations**: full addresses with postal codes, country/continent, and per-office overall rating - **Benefits**: 50+ individual benefits with category, rating, review count, verified status, and benefit reviews - **Salaries**: top job titles with base pay, bonus, stock, tips, profit sharing, and total pay percentiles (P10-P90) - **Interviews**: full interview experiences with difficulty, outcome, process description, questions, and aggregate stats - **Jobs**: active job listings with description, pay, location, remote work type, and application links - **Photos**: company photos with captions - **Company updates**: recent social posts with media - **Managed content**: employer-curated profile content - **Related companies**: parent, subsidiaries, siblings with ratings and counts - **Awards**: best places to work, best-led companies ### Quick start Paste a Glassdoor company URL: ```json { "urls": ["https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.htm"] } ```` That's it. All data is fetched by default. #### More examples **Multiple companies:** ```json { "urls": [ "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.htm", "https://www.glassdoor.com/Reviews/Meta-Reviews-E40772.htm" ] } ``` **By employer ID (limit interviews and jobs):** ```json { "employerIds": [9079], "maxInterviews": 100, "maxJobs": 50 } ``` **With proxy:** ```json { "urls": ["https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.htm"], "maxInterviews": 200, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | **urls** | string\[] | | Glassdoor company page URLs (overview, reviews, salary — any page works) | | **employerIds** | number\[] | | Glassdoor employer IDs (e.g. `9079` for Google) | | **maxSalaries** | number | 20 | Max salary entries per company. Set to 0 for no limit. | | **maxBenefitReviews** | number | 20 | Max benefit reviews per company. Set to 0 for no limit. | | **maxInterviews** | number | 20 | Max interview entries per company. Set to 0 for no limit. | | **maxJobs** | number | 20 | Max job listings per company. Set to 0 for no limit. | | **proxyConfiguration** | object | | Proxy settings | At least one of `urls` or `employerIds` is required. ### Output One JSON object per employer: ```json { "employerId": 9079, "name": "Google", "shortName": "Google", "headquarters": "Mountain View, CA", "revenue": "$10+ billion (USD)", "size": "10000+ Employees", "website": "www.google.com", "yearFounded": 1998, "primaryIndustry": { "industryName": "Internet & Web Services", "sectorName": "Information Technology" }, "overview": { "description": "A technology company that specializes in...", "mission": "To organize the world's information..." }, "ceo": { "name": "Sundar Pichai", "title": "CEO" }, "ratings": { "overallRating": 4.3, "ceoRating": 0.92, "recommendToFriendRating": 0.85, "workLifeBalanceRating": 4.2, "compensationAndBenefitsRating": 4.5 }, "ratingCountDistribution": { "overall": { "1": 120, "2": 200, "3": 500, "4": 1800, "5": 3200 }, "recommendToFriend": { "RECOMMEND": 4500, "WONT_RECOMMEND": 800 } }, "demographicRatings": [ { "category": "GENDER", "categoryRatings": [ { "categoryValue": "MALE", "ratings": { "overallRating": 4.3, "reviewCount": 2100 } }, { "categoryValue": "FEMALE", "ratings": { "overallRating": 4.2, "reviewCount": 800 } } ] } ], "reviewLocations": [ { "name": "Mountain View", "type": "CITY", "state": "California", "country": "United States" } ], "officeLocations": [ { "addressLine1": "1600 Amphitheatre Parkway", "cityName": "Mountain View", "countryName": "US", "postalCode": "94043", "employerReviews": { "ratings": { "overallRating": 4.4 } } } ], "benefitsOverallRating": 4.6, "benefits": [ { "category": "Insurance, Health & Wellness", "name": "Health Insurance", "rating": 4.8, "reviewCount": 500, "verified": true } ], "salaries": [ { "jobTitle": { "id": 9001, "text": "Software Engineer" }, "salaryCount": 12000, "currency": "USD", "basePayPercentiles": [ { "ident": "P10", "value": 120000 }, { "ident": "P50", "value": 160000 }, { "ident": "P90", "value": 210000 } ], "totalPayPercentiles": [ { "ident": "P10", "value": 150000 }, { "ident": "P50", "value": 200000 }, { "ident": "P90", "value": 280000 } ] } ], "interviewStats": { "filteredInterviewCount": 5000, "interviewExperienceCounts": [ { "type": "POSITIVE", "percentage": 0.45 }, { "type": "NEUTRAL", "percentage": 0.35 }, { "type": "NEGATIVE", "percentage": 0.20 } ] }, "interviews": [ { "id": 12345, "difficulty": "DIFFICULT", "experience": "POSITIVE", "outcome": "ACCEPTED", "jobTitle": { "text": "Software Engineer" }, "processDescription": "Phone screen, then 5 onsite interviews...", "userQuestions": [{ "question": "Design a URL shortener" }] } ], "jobs": [ { "job": { "listingId": 98765, "jobTitleText": "Senior Software Engineer", "description": "..." }, "header": { "locationName": "Mountain View, CA", "easyApply": true, "payPeriodAdjustedPay": { "p10": 180000, "p50": 220000, "p90": 280000 }, "remoteWorkTypes": "REMOTE", "applyUrl": "https://..." } } ], "photos": [ { "caption": "Campus view", "photoUrl2x": "https://media.glassdoor.com/..." } ], "companyUpdates": [ { "text": "We're excited to announce...", "date": "2026-03-15", "likes": 42 } ], "scrapedAt": "2026-04-06T10:00:00.000Z" } ``` *Fields truncated for readability. Actual output includes all sub-ratings, all salary percentiles (P10/P25/P50/P75/P90), all pay types (base, bonus, stock, tips, profit sharing, commission), full job descriptions, etc.* ### Limitations - Salary data is limited to top ~10 job titles per company - `maxInterviews` and `maxJobs` are per company, not total across all inputs - Benefits data defaults to US; other countries listed in `benefitCountries` - Requires a headed (non-headless) browser # Actor input Schema ## `urls` (type: `array`): Glassdoor company page URLs (e.g. https://www.glassdoor.com/Overview/Working-at-Nucor-EI\_IE489.htm) ## `includeSalaries` (type: `boolean`): Scrape salary data for each company. Each salary entry is charged separately. ## `maxSalaries` (type: `integer`): Maximum number of salary entries to scrape per company. Set to 0 for no limit. ## `includeBenefits` (type: `boolean`): Scrape benefits overview and benefit reviews. Charged per benefit item and per benefit review. ## `maxBenefitReviews` (type: `integer`): Maximum number of benefit reviews to scrape per company. Set to 0 for no limit. ## `benefitsCountryId` (type: `integer`): Country ID for benefits data. Default is 1 (US). Available country IDs are included in the output. ## `includeInterviews` (type: `boolean`): Scrape interview experiences for each company. Each interview is charged separately. ## `maxInterviews` (type: `integer`): Maximum number of interview entries to scrape per company. Set to 0 for no limit. ## `includeJobs` (type: `boolean`): Scrape current job listings for each company. Each job is charged separately. ## `maxJobs` (type: `integer`): Maximum number of job listings to scrape per company. Set to 0 for no limit. ## `employerIds` (type: `array`): Glassdoor employer IDs (e.g. 9079 for Google). Found in Glassdoor URLs as E{id}. Use this instead of URLs if you already know the IDs. ## `proxyConfiguration` (type: `object`): Select proxies to be used. ## Actor input object example ```json { "urls": [ "https://www.glassdoor.com/Overview/Working-at-Nucor-EI_IE489.htm" ], "includeSalaries": false, "maxSalaries": 20, "includeBenefits": false, "maxBenefitReviews": 20, "benefitsCountryId": 1, "includeInterviews": false, "maxInterviews": 20, "includeJobs": false, "maxJobs": 20 } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://www.glassdoor.com/Overview/Working-at-Nucor-EI_IE489.htm" ] }; // Run the Actor and wait for it to finish const run = await client.actor("kaix/glassdoor-company-scraper").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": ["https://www.glassdoor.com/Overview/Working-at-Nucor-EI_IE489.htm"] } # Run the Actor and wait for it to finish run = client.actor("kaix/glassdoor-company-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.glassdoor.com/Overview/Working-at-Nucor-EI_IE489.htm" ] }' | apify call kaix/glassdoor-company-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kaix/glassdoor-company-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Glassdoor Company Scraper - Most Comprehensive", "description": "🔥 ~$0.5/1K companies 🔥 Scrape comprehensive Glassdoor company data including profile, ratings, demographics, salaries, interviews, benefits, and job listings.", "version": "0.1", "x-build-id": "AMmplNRegdZpcC2Tn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kaix~glassdoor-company-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kaix-glassdoor-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kaix~glassdoor-company-scraper/runs": { "post": { "operationId": "runs-sync-kaix-glassdoor-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kaix~glassdoor-company-scraper/run-sync": { "post": { "operationId": "run-sync-kaix-glassdoor-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "urls": { "title": "Glassdoor Company URLs", "type": "array", "description": "Glassdoor company page URLs (e.g. https://www.glassdoor.com/Overview/Working-at-Nucor-EI_IE489.htm)", "items": { "type": "string" } }, "includeSalaries": { "title": "Include Salaries", "type": "boolean", "description": "Scrape salary data for each company. Each salary entry is charged separately.", "default": false }, "maxSalaries": { "title": "Max Salaries", "minimum": 0, "type": "integer", "description": "Maximum number of salary entries to scrape per company. Set to 0 for no limit.", "default": 20 }, "includeBenefits": { "title": "Include Benefits", "type": "boolean", "description": "Scrape benefits overview and benefit reviews. Charged per benefit item and per benefit review.", "default": false }, "maxBenefitReviews": { "title": "Max Benefit Reviews", "minimum": 0, "type": "integer", "description": "Maximum number of benefit reviews to scrape per company. Set to 0 for no limit.", "default": 20 }, "benefitsCountryId": { "title": "Benefits Country ID", "minimum": 1, "type": "integer", "description": "Country ID for benefits data. Default is 1 (US). Available country IDs are included in the output.", "default": 1 }, "includeInterviews": { "title": "Include Interviews", "type": "boolean", "description": "Scrape interview experiences for each company. Each interview is charged separately.", "default": false }, "maxInterviews": { "title": "Max Interviews", "minimum": 0, "type": "integer", "description": "Maximum number of interview entries to scrape per company. Set to 0 for no limit.", "default": 20 }, "includeJobs": { "title": "Include Job Listings", "type": "boolean", "description": "Scrape current job listings for each company. Each job is charged separately.", "default": false }, "maxJobs": { "title": "Max Jobs", "minimum": 0, "type": "integer", "description": "Maximum number of job listings to scrape per company. Set to 0 for no limit.", "default": 20 }, "employerIds": { "title": "Employer IDs", "type": "array", "description": "Glassdoor employer IDs (e.g. 9079 for Google). Found in Glassdoor URLs as E{id}. Use this instead of URLs if you already know the IDs.", "items": { "type": "integer" } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```