# Glassdoor Jobs Scraper (`xtracto/glassdoor-jobs`) Actor Search jobs on Glassdoor by keyword or search URL. Each listing includes the job title, employer (with rating), location, estimated salary range, job type, remote options, posting age, and a direct link. No login required. - **URL**: https://apify.com/xtracto/glassdoor-jobs.md - **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Jobs Scraper Search and extract job listings from Glassdoor by keyword or search URL. One result = one job listing. ### Why use this actor - No account, no login, and no API key required - Job title, employer (with company rating), and location for every listing - Glassdoor's estimated salary range (10th / 50th / 90th percentile) - Job type, remote-work options, posting age, and a direct apply/detail link - Stable JSON output suitable for pipelines, job boards, or market analysis - Automatic retries and IP switching if a request is temporarily blocked ### How it works 1. You give the actor one or more search keywords (e.g. `software engineer`) or full Glassdoor search URLs. 2. The actor walks the result pages and collects each job listing with its full detail. 3. Results stream into your dataset, ready to download as JSON, CSV, or Excel. You don't manage scrapers, browsers, or retries — the actor handles all of that. ### Input ```json { "keywords": ["software engineer"], "searchUrls": [], "maxJobsPerSearch": 100, "maxPages": 30, "concurrency": 2, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` | Field | Type | Description | |---|---|---| | `keywords` | array | Free-text searches; each runs as a separate Glassdoor job search. | | `searchUrls` | array | Optional full Glassdoor job-search URLs (with location/filters applied). | | `maxJobsPerSearch` | integer | Stop after this many jobs per search. `0` = no cap. Default 100. | | `maxPages` | integer | Safety cap on result pages per search. Default 30. | | `concurrency` | integer | Searches processed in parallel. Default 2. | | `proxyConfiguration` | object | Proxy settings. Residential is recommended. | ### Output ```json { "_input": "software engineer", "_scrapedAt": "2026-06-11T02:11:43Z", "recordType": "JOB_LISTING", "jobListingId": "1010149033813", "page": 1, "jobTitleText": "Software Engineer-Early Career", "employerNameFromSearch": "Lockheed Martin Corporation", "employer": { "id": 404, "name": "Lockheed Martin Corporation", "shortName": "Lockheed Martin", "ratings": { "overallRating": 4.1 }, "size": "10000+ Employees" }, "locationName": "Uniondale, NY", "payCurrency": "USD", "payPeriod": "ANNUAL", "payPeriodAdjustedPay": { "p10": 88189, "p50": 117176, "p90": 146163 }, "jobType": ["Full-time"], "ageInDays": 13, "easyApply": false, "seoJobLink": "https://www.glassdoor.com/job-listing/software-engineer-early-career-lockheed-martin-JV_IC1132443_KO0,30_KE31,46.htm?jl=1010149033813" } ``` | Field | Type | Description | |---|---|---| | `jobListingId` | string | Unique Glassdoor job ID. | | `jobTitleText` | string | Job title. | | `employer` | object | Employer name, short name, rating, size, logo. | | `employerNameFromSearch` | string | Employer name as shown in search. | | `locationName` | string | Job location. | | `payPeriod` | string | `ANNUAL`, `HOURLY`, … | | `payCurrency` | string | Currency of the salary estimate. | | `payPeriodAdjustedPay` | object | Estimated pay percentiles `p10` / `p50` / `p90`. | | `jobType` | array | e.g. `Full-time`, `Contract`. | | `ageInDays` | number | Days since the job was posted. | | `easyApply` | boolean | Whether Glassdoor easy-apply is available. | | `seoJobLink` | string | Direct link to the job listing. | A search that returns nothing yields an `_error` record instead of being dropped. ### Notes - Salary figures are Glassdoor estimates, not always employer-stated. - Residential proxy is recommended; the actor switches IP automatically if temporarily blocked. ### Related actors Part of a Glassdoor suite (one event per actor): **Company Overview**, **Reviews**, and **Jobs**. # Actor input Schema ## `keywords` (type: `array`): Free-text job searches, e.g. 'software engineer', 'product manager'. Each keyword is run as a separate Glassdoor job search. ## `searchUrls` (type: `array`): Optional: full Glassdoor job-search URLs (e.g. with location or filters already applied). Used in addition to any keywords above. ## `maxJobsPerSearch` (type: `integer`): Stop after collecting this many jobs per search. Set 0 for no cap (pages until jobs stop). ## `maxPages` (type: `integer`): Safety cap on how many result pages to walk per search. ## `concurrency` (type: `integer`): How many searches to run in parallel. Keep low (1-2) to reduce the chance of being temporarily rate-limited. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies are strongly recommended; the actor automatically switches IP if it is temporarily blocked. ## Actor input object example ```json { "keywords": [ "software engineer" ], "searchUrls": [], "maxJobsPerSearch": 100, "maxPages": 30, "concurrency": 2, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "keywords": [ "software engineer" ], "searchUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/glassdoor-jobs").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 = { "keywords": ["software engineer"], "searchUrls": [], } # Run the Actor and wait for it to finish run = client.actor("xtracto/glassdoor-jobs").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 '{ "keywords": [ "software engineer" ], "searchUrls": [] }' | apify call xtracto/glassdoor-jobs --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/glassdoor-jobs", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Glassdoor Jobs Scraper", "description": "Search jobs on Glassdoor by keyword or search URL. Each listing includes the job title, employer (with rating), location, estimated salary range, job type, remote options, posting age, and a direct link. No login required.", "version": "0.1", "x-build-id": "3E3JJbM7bP7iH4WFy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~glassdoor-jobs/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-glassdoor-jobs", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~glassdoor-jobs/runs": { "post": { "operationId": "runs-sync-xtracto-glassdoor-jobs", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~glassdoor-jobs/run-sync": { "post": { "operationId": "run-sync-xtracto-glassdoor-jobs", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Search keywords", "type": "array", "description": "Free-text job searches, e.g. 'software engineer', 'product manager'. Each keyword is run as a separate Glassdoor job search.", "items": { "type": "string" } }, "searchUrls": { "title": "Glassdoor job-search URLs", "type": "array", "description": "Optional: full Glassdoor job-search URLs (e.g. with location or filters already applied). Used in addition to any keywords above.", "items": { "type": "string" } }, "maxJobsPerSearch": { "title": "Max jobs per search", "minimum": 0, "type": "integer", "description": "Stop after collecting this many jobs per search. Set 0 for no cap (pages until jobs stop).", "default": 100 }, "maxPages": { "title": "Max pages per search", "minimum": 1, "maximum": 100, "type": "integer", "description": "Safety cap on how many result pages to walk per search.", "default": 30 }, "concurrency": { "title": "Concurrent searches", "minimum": 1, "maximum": 8, "type": "integer", "description": "How many searches to run in parallel. Keep low (1-2) to reduce the chance of being temporarily rate-limited.", "default": 2 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Residential proxies are strongly recommended; the actor automatically switches IP if it is temporarily blocked.", "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 } } } } } } } } } } ```