# Glassdoor Reviews (`schesds/glassdoor-reviews`) Actor Extract structured employee review records from Glassdoor review URLs with ratings, text, roles, locations, and dates. - **URL**: https://apify.com/schesds/glassdoor-reviews.md - **Developed by:** [Tedd Shesden](https://apify.com/schesds) (community) - **Categories:** Business, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $0.05 / 1,000 employee reviews 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 Reviews Extract structured employee review data from Glassdoor company review pages. Use it to collect review text, ratings, job titles, locations, employment status, and review metadata for employer-brand, culture, market, or workforce analysis. ### What can you use it for? - Build review-level datasets for companies, portfolios, or market maps. - Analyze employee sentiment across pros, cons, advice, roles, and locations. - Compare review ratings across work-life balance, culture, leadership, compensation, career opportunities, and diversity. - Tag reviews with your own keywords for downstream analysis. - Export clean data to JSON, CSV, Excel, XML, RSS, or HTML from Apify datasets. ### Input Paste one Glassdoor Reviews URL per line. For large batches, use Bulk edit. Example: ```json { "reviewUrls": [ "https://www.glassdoor.com/Reviews/Apple-Reviews-E1138.htm", "https://www.glassdoor.com/Reviews/Microsoft-Reviews-E1651.htm" ], "maxReviewsPerCompany": 100, "keywords": ["AI", "machine learning"], "jobTitles": [], "locations": [], "reviewStartDate": null } ```` ### Output The dataset contains one row per employee review. Rows can include: - Glassdoor employer ID - Review ID and review URL - Review title and date - Employer name, short name, and logo URL when available - Job title, location, employment status, and current/former employee flag - Job ending year and tenure when available - Overall rating - Work-life balance rating - Culture and values rating - Senior leadership rating - Compensation and benefits rating - Career opportunities rating - Diversity and inclusion rating - CEO, business outlook, and recommendation ratings when available - Pros, cons, and advice text - Helpful/unhelpful vote counts when available - Keyword matches when keywords are provided - Source Glassdoor company URL - Scrape timestamp ### Pricing This Actor uses pay-per-result pricing: **US$0.05 per 1,000 employee reviews** You are charged only for delivered review records. ### Tips - Direct Glassdoor Reviews URLs are the most reliable input. - Use the Glassdoor Company Profile Actor first if you need to resolve employer IDs or canonical review URLs. - Set `maxReviewsPerCompany` to the smallest number that fits your analysis to control cost and runtime. - Use job title, location, and date filters when you only need a focused sample. ### Notes and limitations - Review availability depends on what Glassdoor exposes for each company and region. - Very large companies may have more reviews available than your selected limit. - Some optional fields may be missing on individual reviews. - This Actor is not affiliated with, endorsed by, or sponsored by Glassdoor. Use the extracted data responsibly and make sure your use case complies with applicable laws and platform terms. # Actor input Schema ## `reviewUrls` (type: `array`): Add one Glassdoor Reviews URL per line. Use Bulk edit to paste large lists. ## `maxReviewsPerCompany` (type: `integer`): Maximum number of reviews to return for each company URL. ## `keywords` (type: `array`): Optional keywords to tag matching reviews. This does not filter reviews out; it adds keywordMatches when terms appear. ## `jobTitles` (type: `array`): Optional job title terms. When provided, only matching reviews are returned. ## `locations` (type: `array`): Optional location terms. When provided, only matching reviews are returned. ## `reviewStartDate` (type: `string`): Optional earliest review date to include, in YYYY-MM-DD format. ## `reviewExtractionStrategy` (type: `string`): Internal extraction strategy. BFF\_THEN\_HTML is the recommended production mode. ## `extractionMode` (type: `string`): Internal compatibility control. ## `sourceMode` (type: `string`): Use LIVE for real Glassdoor data. FIXTURE is only for tests. ## `httpClient` (type: `string`): Advanced beta control for the underlying HTTP client. ## `proxyConfiguration` (type: `object`): Apify proxy configuration used by live runs. ## Actor input object example ```json { "reviewUrls": [ "https://www.glassdoor.com/Reviews/Apple-Reviews-E1138.htm", "https://www.glassdoor.com/Reviews/Microsoft-Reviews-E1651.htm" ], "maxReviewsPerCompany": 100, "keywords": [], "jobTitles": [], "locations": [], "reviewStartDate": null, "reviewExtractionStrategy": "BFF_THEN_HTML", "extractionMode": "EMBEDDED_ONLY", "sourceMode": "LIVE", "httpClient": "IMPIT", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "reviewUrls": [ "https://www.glassdoor.com/Reviews/Apple-Reviews-E1138.htm", "https://www.glassdoor.com/Reviews/Microsoft-Reviews-E1651.htm" ] }; // Run the Actor and wait for it to finish const run = await client.actor("schesds/glassdoor-reviews").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 = { "reviewUrls": [ "https://www.glassdoor.com/Reviews/Apple-Reviews-E1138.htm", "https://www.glassdoor.com/Reviews/Microsoft-Reviews-E1651.htm", ] } # Run the Actor and wait for it to finish run = client.actor("schesds/glassdoor-reviews").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 '{ "reviewUrls": [ "https://www.glassdoor.com/Reviews/Apple-Reviews-E1138.htm", "https://www.glassdoor.com/Reviews/Microsoft-Reviews-E1651.htm" ] }' | apify call schesds/glassdoor-reviews --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=schesds/glassdoor-reviews", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Glassdoor Reviews", "description": "Extract structured employee review records from Glassdoor review URLs with ratings, text, roles, locations, and dates.", "version": "0.1", "x-build-id": "mcBBftPxviMjHPgIm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/schesds~glassdoor-reviews/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-schesds-glassdoor-reviews", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/schesds~glassdoor-reviews/runs": { "post": { "operationId": "runs-sync-schesds-glassdoor-reviews", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/schesds~glassdoor-reviews/run-sync": { "post": { "operationId": "run-sync-schesds-glassdoor-reviews", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "reviewUrls" ], "properties": { "reviewUrls": { "title": "Glassdoor review URLs", "minItems": 1, "type": "array", "description": "Add one Glassdoor Reviews URL per line. Use Bulk edit to paste large lists.", "items": { "type": "string", "pattern": "^https?://" } }, "maxReviewsPerCompany": { "title": "Max reviews per company", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of reviews to return for each company URL.", "default": 100 }, "keywords": { "title": "Keywords", "type": "array", "description": "Optional keywords to tag matching reviews. This does not filter reviews out; it adds keywordMatches when terms appear.", "items": { "type": "string" }, "default": [] }, "jobTitles": { "title": "Job title filters", "type": "array", "description": "Optional job title terms. When provided, only matching reviews are returned.", "items": { "type": "string" }, "default": [] }, "locations": { "title": "Location filters", "type": "array", "description": "Optional location terms. When provided, only matching reviews are returned.", "items": { "type": "string" }, "default": [] }, "reviewStartDate": { "title": "Review start date", "type": "string", "description": "Optional earliest review date to include, in YYYY-MM-DD format.", "default": null }, "reviewExtractionStrategy": { "title": "Review extraction strategy", "type": "string", "description": "Internal extraction strategy. BFF_THEN_HTML is the recommended production mode.", "default": "BFF_THEN_HTML" }, "extractionMode": { "title": "Extraction mode", "type": "string", "description": "Internal compatibility control.", "default": "EMBEDDED_ONLY" }, "sourceMode": { "title": "Source mode", "type": "string", "description": "Use LIVE for real Glassdoor data. FIXTURE is only for tests.", "default": "LIVE" }, "httpClient": { "title": "HTTP client", "type": "string", "description": "Advanced beta control for the underlying HTTP client.", "default": "IMPIT" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy configuration used by live runs.", "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 } } } } } } } } } } ```