![Glassdoor Scraper [Pay Per Result] avatar](https://images.apifyusercontent.com/qwvOz5S-wzE9QhVxkK0VeV5543bLsqer469egYYOt8M/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vOEYybDN6MGdLQ1lCQ0Y0QmMvaXNQSnExSWdDSmhuY244MFEtZ2xhc3Nkb29yLnBuZw.webp){kind=avatar}
Pricing
Pay per event
Extract comprehensive employee reviews from Glassdoor effortlessly. Gather ratings, comments, and company responses to power your HR insights and market research.
Pricing
Pay per event
Rating
5.0
(1)
Developer
Muhamed Didovic
Actor stats
21
Bookmarked
351
Total users
58
Monthly active users
0.39 hours
Issues response
19 hours ago
Last modified
Categories
Share
You can access the Glassdoor Scraper [Pay Per Result] programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "ck6WnmZS1coxqAb5G" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/memo23~glassdoor-scraper-ppr/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-memo23-glassdoor-scraper-ppr", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/memo23~glassdoor-scraper-ppr/runs": { "post": { "operationId": "runs-sync-memo23-glassdoor-scraper-ppr", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/memo23~glassdoor-scraper-ppr/run-sync": { "post": { "operationId": "run-sync-memo23-glassdoor-scraper-ppr", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "command": { "title": "Choose which data to scrape reviews or interviews for the links(s) you provided", "enum": [ "reviews", "interviews", "locations", "salaries", "jobs", "overview", "benefits", "culture" ], "type": "string", "description": "Choose which data to scrape (reviews or interviews or locations or salaries or jobs) for the links(s) you provided.", "default": "reviews" }, "includes": { "title": "Include only reviews containing specific keywords.", "type": "array", "description": "Only include reviews that contain at least one of the specified keywords. For now keywords are use only on 'Cons' property of the review.", "items": { "type": "string" } }, "includeCompanyReviewStats": { "title": "Include Company Review Stats", "type": "boolean", "description": "Include company review stats in the output.", "default": false }, "includeAllReviews": { "title": "Include All Reviews.", "type": "boolean", "description": "Include all possible reviews in the output from all available languages like: 'eng', 'fra', 'por', 'spa', 'ita', 'nld', 'deu'.", "default": false }, "monitoringModeForReviews": { "title": "Run in monitoring mode where only newly reviews compared to previous runs will be scraped", "type": "boolean", "description": "If checked, it will only scrape newly reviews compared to what has been scraped in previous runs. Please turn on or check 'Include posts' setting above in case you want this feature.", "default": false }, "sortReviewsBy": { "title": "Sort review by", "enum": [ "RELEVANCE", "DATE", "RATING", "RATING_ASC" ], "type": "string", "description": "Sort reviews by criteria", "default": "RELEVANCE" }, "reviewsStartDate": { "title": "Only scrape reviews newer than [date]", "type": "string", "description": "Format should be YYYY-MM-DD, e.g., 2025-02-20" }, "includeCompanyInterviewStats": { "title": "Include Company Interview Stats.", "type": "boolean", "description": "Include company interview stats in the output.", "default": false }, "interviewsStartDate": { "title": "Only scrape interviews newer than [date]", "type": "string", "description": "Format should be YYYY-MM-DD, e.g., 2025-02-20" }, "includeCompanyBenefitsStats": { "title": "Include Company Benefits Stats.", "type": "boolean", "description": "Include company benefits stats in the output.", "default": false }, "benefitsStartDate": { "title": "Only scrape benefits newer than [date]", "type": "string", "description": "Format should be YYYY-MM-DD, e.g., 2025-02-20" }, "includeAllSalaries": { "title": "Include All Salaries.", "type": "boolean", "description": "Include all possible salaries in the output from all available languages like: 'eng', 'fra', 'por', 'spa', 'ita', 'nld', 'deu'.", "default": false }, "maxItems": { "title": "Max number items OR limit of items (like reviews, salaries, interviews and etc) per crawl", "type": "integer", "description": "Maximum number of items (like reviews, salaries, interviews and etc) that will be scraped.", "default": 20000 }, "maxConcurrency": { "title": "Max Concurrency", "type": "integer", "description": "Maximum number of pages that can be processed at the same time.", "default": 10 }, "minConcurrency": { "title": "Min Concurrency", "type": "integer", "description": "Minimum number of pages that will be processed at the same time.", "default": 1 }, "maxRequestRetries": { "title": "Max Request Retries", "type": "integer", "description": "Number of times the crawler will retry a failed request before giving up.", "default": 100 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.<br><br>For details, see <a href='https://apify.com/apify/web-scraper#proxy-configuration' target='_blank' rel='noopener'>Proxy configuration</a> in README.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Glassdoor Scraper [Pay Per Result] from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: