# Glassdoor Jobs Scraper — Salary Ranges & Ratings, No Login (`jamhimself/glassdoor-jobs-scraper`) Actor Scrape Glassdoor job listings to JSON — no login, no API key. Search by keyword or paste a Glassdoor jobs URL. Get title, employer, company rating, location, salary range (min/max), pay period, posting age & direct links. Pay per job. - **URL**: https://apify.com/jamhimself/glassdoor-jobs-scraper.md - **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community) - **Categories:** Jobs, Agents, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $7.00 / 1,000 job listings 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 — Salary Ranges & Ratings, No Login Scrape **Glassdoor job listings** into clean JSON — no login, no cookies, no API key. Search by keyword or paste any Glassdoor jobs URL, and get structured rows with title, employer, company rating, location, Glassdoor's estimated salary range, pay period, posting age, and a direct link. Built for reliability: TLS-impersonation engine that clears Glassdoor's bot wall, health-monitored daily and patched fast when Glassdoor changes. Output is structured for spreadsheets, dashboards, and LLM/RAG pipelines. ### ⚡ Quick start Paste this into the Actor's **Input** (JSON view) and hit **Start**: ```json { "searchQuery": "software engineer", "maxJobs": 100 } ```` Each result row looks like: ```json { "jobTitle": "Senior Software Engineer", "employer": "Datadog", "employerRating": 4.1, "location": "New York, NY", "payMin": 150000, "payMax": 205000, "payPeriod": "ANNUAL", "payCurrency": "USD", "salarySource": "EMPLOYER_ESTIMATED_SALARY", "ageInDays": 3, "easyApply": false, "jobId": "1009876543210", "url": "https://www.glassdoor.com/job-listing/senior-software-engineer-datadog-JV_IC1132348.htm" } ``` Or run it from the API: ``` POST https://api.apify.com/v2/acts/jamhimself~glassdoor-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN ``` ### Input options | Field | Type | Description | |---|---|---| | `searchQuery` | string | Keyword to search across the US, e.g. `"data analyst"` | | `startUrls` | array | Glassdoor jobs URLs — a company page (`.../Jobs/Google-Jobs-E9079.htm`) or any filtered `/Job/...SRCH...htm` search URL you built in your browser (to add a location or other filters) | | `maxJobs` | integer | Max listings per search (default 100) | | `maxPages` | integer | Pagination-depth cap per search (default 10) | Provide `searchQuery`, `startUrls`, or both. ### Output fields Every row includes: `jobTitle`, `employer`, `employerRating`, `location`, `payMin`/`payMax` (Glassdoor's estimated range), `payPeriod`, `payCurrency`, `salarySource`, `ageInDays`, `easyApply`, `jobId`, `url`. ### Use cases - **Salary benchmarking** — Glassdoor exposes estimated pay ranges (min/max) on listings; track them by title, employer, or location. - **Recruiting & market research** — monitor who's hiring, how fresh the postings are, and company ratings alongside openings. - **AI agents & RAG** — feed structured, deduplicated job rows into agent pipelines (this Actor is agent-payable). ### Related Actors Complete the employer picture: [Glassdoor Company Reviews](https://apify.com/jamhimself/glassdoor-reviews-scraper) and [Glassdoor Interview Experiences](https://apify.com/jamhimself/glassdoor-interviews-scraper). *** Found an issue or need another field or filter? **Open an issue on this Actor** — it's actively maintained and issues get fixed fast. If this Actor saves you time, a ⭐ review helps others find it. # Actor input Schema ## `searchQuery` (type: `string`): Job keyword to search across the US, e.g. "software engineer". Leave empty if using Start URLs. ## `startUrls` (type: `array`): Glassdoor jobs URLs — a company jobs page (https://www.glassdoor.com/Jobs/Google-Jobs-E9079.htm) or any filtered /Job/...SRCH...htm search URL you built in your browser (to include a location or other filters). ## `maxJobs` (type: `integer`): Maximum job listings to return per search/URL. ## `maxPages` (type: `integer`): Safety cap on pagination depth per search. ## Actor input object example ```json { "searchQuery": "software engineer", "maxJobs": 100, "maxPages": 10 } ``` # Actor output Schema ## `jobs` (type: `string`): One row per job: title, employer, company rating, location, salary range, pay period, posting age, direct link. # 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 = { "searchQuery": "software engineer" }; // Run the Actor and wait for it to finish const run = await client.actor("jamhimself/glassdoor-jobs-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 = { "searchQuery": "software engineer" } # Run the Actor and wait for it to finish run = client.actor("jamhimself/glassdoor-jobs-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 '{ "searchQuery": "software engineer" }' | apify call jamhimself/glassdoor-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jamhimself/glassdoor-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Glassdoor Jobs Scraper — Salary Ranges & Ratings, No Login", "description": "Scrape Glassdoor job listings to JSON — no login, no API key. Search by keyword or paste a Glassdoor jobs URL. Get title, employer, company rating, location, salary range (min/max), pay period, posting age & direct links. Pay per job.", "version": "1.0", "x-build-id": "0yxtGlPRvAYTfEXbP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jamhimself~glassdoor-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jamhimself-glassdoor-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jamhimself~glassdoor-jobs-scraper/runs": { "post": { "operationId": "runs-sync-jamhimself-glassdoor-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jamhimself~glassdoor-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-jamhimself-glassdoor-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search keyword", "type": "string", "description": "Job keyword to search across the US, e.g. \"software engineer\". Leave empty if using Start URLs." }, "startUrls": { "title": "Start URLs (optional)", "type": "array", "description": "Glassdoor jobs URLs — a company jobs page (https://www.glassdoor.com/Jobs/Google-Jobs-E9079.htm) or any filtered /Job/...SRCH...htm search URL you built in your browser (to include a location or other filters).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxJobs": { "title": "Max jobs per search", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum job listings to return per search/URL.", "default": 100 }, "maxPages": { "title": "Max pages per search", "minimum": 1, "maximum": 30, "type": "integer", "description": "Safety cap on pagination depth per search.", "default": 10 } } }, "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 } } } } } } } } } } ```