# Glassdoor Company Scraper (`cirkit/glassdoor-company-scraper`) Actor Scrape Glassdoor company overviews, reviews, salaries, and interviews. Takes a company URL or employer ID and returns structured records. - **URL**: https://apify.com/cirkit/glassdoor-company-scraper.md - **Developed by:** [Crikit](https://apify.com/cirkit) (community) - **Categories:** SEO tools, E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Glassdoor company **overviews, reviews, salaries, and interviews** from any company URL or employer ID. Returns structured records per company with full ratings, CEO data, salary percentiles, interview difficulty and questions, and review pros/cons. This is a Python actor that hits Glassdoor's public pages directly, extracts the embedded React Server Component JSON, and pushes one dataset record per data point. Cookie-warmed session, residential US proxies, Chrome TLS impersonation, automatic Cloudflare-challenge recovery. ### What you get Per company, the actor emits multiple records, distinguishable by the `recordType` field: - **overview** - overall rating, sub-scores (work-life balance, culture, comp, leadership, career, diversity, CEO approval, business outlook, recommend-to-friend), CEO info, total review count, employer name, logo, source URL. - **review** - review id, summary, pros, cons, advice, ratings (overall + 8 subscores), job title, employment status, current-job flag, tenure, language, location, helpful counts, employer responses, date. - **salary** - job title, pay period, base pay (median), additional cash (median), total pay (median), currency, salary sample size. All values are P50 median from Glassdoor's percentile distribution. - **interview** - interview id, job title, process description, difficulty (numeric 1-5), outcome (NO_OFFER / ACCEPT_OFFER / DECLINE_OFFER / NO_OFFER), experience (POSITIVE/NEUTRAL/NEGATIVE), interview questions list, application source, location, date. All records carry shared metadata: `employerId`, `employerName`, `employerSlug`, `employerLogoUrl`, `glassdoorUrl`. ### How to use 1. Paste a Glassdoor company URL into the input (Overview, Reviews, Salary, or Interview URLs all accepted). 2. Toggle which record types you want. 3. Set per-company caps for reviews, salaries, interviews. 4. Run. ```json { "companyUrls": [ "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm", "https://www.glassdoor.com/Overview/Working-at-Microsoft-EI_IE1651.11,20.htm" ], "includeOverview": true, "includeReviews": true, "includeSalaries": true, "includeInterviews": true, "maxReviewsPerCompany": 50, "maxSalariesPerCompany": 50, "maxInterviewsPerCompany": 50 } ```` ### Input fields | Field | Type | Description | |-------|------|-------------| | `companyUrls` | array of strings | Glassdoor company URLs (Overview/Reviews/Salary/Interview). | | `employerIds` | array of strings | Alternative input: numeric Glassdoor employer IDs. | | `includeOverview` | boolean | Emit overview records. Default true. | | `includeReviews` | boolean | Emit review records. Default true. | | `includeSalaries` | boolean | Emit salary records. Default true. | | `includeInterviews` | boolean | Emit interview records. Default true. | | `maxReviewsPerCompany` | integer | Cap on reviews per company. 0 = no cap. Default 50. | | `maxSalariesPerCompany` | integer | Cap on salaries per company. 0 = no cap. Default 50. | | `maxInterviewsPerCompany` | integer | Cap on interviews per company. 0 = no cap. Default 50. | | `proxyConfiguration` | object | Apify proxy config. Residential US recommended (and prefilled). | ### Sample output #### Overview record ```json { "recordType": "overview", "employerId": 9079, "employerName": "Google", "employerSlug": "Google", "employerLogoUrl": "https://media.glassdoor.com/sql/9079/google-squarelogo-1441130773284.png", "glassdoorUrl": "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm", "overallRating": 4.4, "workLifeBalanceRating": 4.2, "cultureAndValuesRating": 4.2, "diversityAndInclusionRating": 4.4, "careerOpportunitiesRating": 4.2, "compensationAndBenefitsRating": 4.5, "ceoRating": 0.82, "businessOutlookRating": 0.81, "recommendToFriendPercent": 0.87, "totalReviewCount": 48160, "ratedCeo": {"id": 380236, "name": "Sundar Pichai", "photoUrl": "..."} } ``` #### Review record ```json { "recordType": "review", "employerId": 9079, "reviewId": 103981367, "summary": "Exciting opportunities, but challenging work environment", "pros": "Lots of resources, great colleagues, food", "cons": "Politics, very crowded, difficult to have impact", "ratingOverall": 5, "ratingWorkLifeBalance": 0, "ratingCareerOpportunities": 0, "ratingCompensationAndBenefits": 0, "ratingCultureAndValues": 0, "jobTitle": "Engineering Director", "employmentStatus": "REGULAR", "isCurrentJob": true, "lengthOfEmployment": 20, "languageId": "eng", "reviewDateTime": "2026-05-15T10:15:24.850" } ``` #### Salary record (P50 / median) ```json { "recordType": "salary", "employerId": 11159, "employerName": "Salesforce", "jobTitle": "Account Executive", "payPeriod": "ANNUAL", "basePay": 124724.82, "additionalCash": 92548.23, "totalPay": 217273.05, "currency": "USD", "numSalaries": 2541 } ``` #### Interview record ```json { "recordType": "interview", "employerId": 11159, "interviewId": 103974704, "jobTitle": "LMTS, Software Engineering", "processDescription": "...", "difficulty": 3, "offer": "NO_OFFER", "experience": "NEGATIVE", "questions": [], "location": "Bengaluru", "interviewDateTime": "2026-05-01T00:00:00" } ``` ### Pricing **Pay-per-event flat fee: $0.0035 per record** written to the default dataset. That's an Overview record, a Review record, a Salary record, or an Interview record - each $0.0035. Cheaper than the comparable competitor at $0.00475 per record + a $0.005 actor-start fee. No actor-start fee here. ### Limits, quirks, and "why is reviewCount so low?" - **Reviews per company are capped at the page-1 inline JSON (typically ~3 records).** Glassdoor gates additional review pages behind a login wall for unauthenticated traffic. This actor stays unauthenticated by design (no cookie or sessionid input required) so the review subset is the same set Glassdoor shows in its featured-review block. - Salaries paginate freely (~10 records per page, many pages per company). - Interviews paginate freely (~5 records per page, many pages per company). - Glassdoor regional redirects: from non-US IPs, the site redirects to `glassdoor.ca`, `.com.br`, etc. The actor follows these and parses the same payload. ### Performance and reliability - **Anti-bot:** Cloudflare Bot Management. The actor uses Chrome 131 TLS fingerprint impersonation (via `curl_cffi`) and rotates session tokens on Apify residential US proxies. Cookies from the company Overview page are warmed and carried across all data-type fetches. - **Auto-recover:** when a request gets challenged, the actor rotates proxy session + TLS profile and re-warms. 5 attempts before giving up on a page. - **Concurrency:** 1 per company (sequential by design - Cloudflare gets sensitive past 5 concurrent residential sessions per minute per target). ### What this actor does NOT do - Jobs scraping (see other Glassdoor Jobs actors on Apify). - Authenticated review pagination past Glassdoor's login wall (would require user cookies; not supported here). - Salary data in non-USD currencies (returned as-is; not converted). ### FAQ **Q: Can I increase the review count past 3?** Not without authenticating to Glassdoor. This actor is unauthenticated by design. **Q: Does it work for non-US companies?** Yes, but the page may redirect to a country-specific Glassdoor (`.ca`, `.com.br`). Data is the same. The actor handles redirects automatically. **Q: Why Python and not Node?** Curl\_cffi (Chrome TLS impersonation) is Python-only. The Node ecosystem has Patchright/Camoufox but those require a full browser and 10× the memory. **Q: How do I find a company's employer ID?** Visit the company on Glassdoor and grab the URL. The number after `EI_IE` or `E` is the ID. E.g. `EI_IE9079` → 9079. # Actor input Schema ## `companyUrls` (type: `array`): List of Glassdoor company URLs. Accepts Overview, Reviews, Salary, or Interview URLs. The actor extracts the employer ID and scrapes all configured data types for each company. ## `employerIds` (type: `array`): Alternative input: list of numeric Glassdoor employer IDs. Use this when you already know the IDs. Either companyUrls or employerIds must be provided. ## `includeOverview` (type: `boolean`): If true, emit one overview record per company with ratings, CEO, and counts. ## `includeReviews` (type: `boolean`): If true, emit review records with pros, cons, ratings, and dates. ## `includeSalaries` (type: `boolean`): If true, emit salary records by job title. ## `includeInterviews` (type: `boolean`): If true, emit interview records with difficulty, outcome, and questions. ## `maxReviewsPerCompany` (type: `integer`): Caps the number of reviews returned per company. Set to 0 for no cap (will paginate to Glassdoor's display limit). ## `maxSalariesPerCompany` (type: `integer`): Caps the number of salary records returned per company. 0 for no cap. ## `maxInterviewsPerCompany` (type: `integer`): Caps the number of interview records returned per company. 0 for no cap. ## `proxyConfiguration` (type: `object`): Apify proxy configuration. Residential US is strongly recommended. Default uses RESIDENTIAL group with country US. ## Actor input object example ```json { "companyUrls": [ "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm" ], "employerIds": [], "includeOverview": true, "includeReviews": true, "includeSalaries": true, "includeInterviews": true, "maxReviewsPerCompany": 50, "maxSalariesPerCompany": 50, "maxInterviewsPerCompany": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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 = { "companyUrls": [ "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("cirkit/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 = { "companyUrls": ["https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("cirkit/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 '{ "companyUrls": [ "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call cirkit/glassdoor-company-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cirkit/glassdoor-company-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Glassdoor Company Scraper", "description": "Scrape Glassdoor company overviews, reviews, salaries, and interviews. Takes a company URL or employer ID and returns structured records.", "version": "0.1", "x-build-id": "WPt4hd4fFpW5D8NHQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cirkit~glassdoor-company-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cirkit-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/cirkit~glassdoor-company-scraper/runs": { "post": { "operationId": "runs-sync-cirkit-glassdoor-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/cirkit~glassdoor-company-scraper/run-sync": { "post": { "operationId": "run-sync-cirkit-glassdoor-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "companyUrls" ], "properties": { "companyUrls": { "title": "Glassdoor company URLs", "type": "array", "description": "List of Glassdoor company URLs. Accepts Overview, Reviews, Salary, or Interview URLs. The actor extracts the employer ID and scrapes all configured data types for each company.", "items": { "type": "string" } }, "employerIds": { "title": "Glassdoor employer IDs (advanced)", "type": "array", "description": "Alternative input: list of numeric Glassdoor employer IDs. Use this when you already know the IDs. Either companyUrls or employerIds must be provided.", "default": [], "items": { "type": "string" } }, "includeOverview": { "title": "Include company overview", "type": "boolean", "description": "If true, emit one overview record per company with ratings, CEO, and counts.", "default": true }, "includeReviews": { "title": "Include reviews", "type": "boolean", "description": "If true, emit review records with pros, cons, ratings, and dates.", "default": true }, "includeSalaries": { "title": "Include salaries", "type": "boolean", "description": "If true, emit salary records by job title.", "default": true }, "includeInterviews": { "title": "Include interviews", "type": "boolean", "description": "If true, emit interview records with difficulty, outcome, and questions.", "default": true }, "maxReviewsPerCompany": { "title": "Max reviews per company", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Caps the number of reviews returned per company. Set to 0 for no cap (will paginate to Glassdoor's display limit).", "default": 50 }, "maxSalariesPerCompany": { "title": "Max salaries per company", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Caps the number of salary records returned per company. 0 for no cap.", "default": 50 }, "maxInterviewsPerCompany": { "title": "Max interviews per company", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Caps the number of interview records returned per company. 0 for no cap.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy configuration. Residential US is strongly recommended. Default uses RESIDENTIAL group with country US.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```