# Glassdoor Jobs Scraper (`agentx/glassdoor-jobs-scraper`) Actor Glassdoor Jobs API with the salary distribution recruiters actually need: p10, p50, and p90 percentiles per posting, alongside company rating, employer review count, employee count, and the hiring company's verified email and phone — across 72 countries. - **URL**: https://apify.com/agentx/glassdoor-jobs-scraper.md - **Developed by:** [AgentX](https://apify.com/agentx) (community) - **Categories:** Jobs, Lead generation, Agents - **Stats:** 94 total users, 9 monthly users, 100.0% runs succeeded, 6 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.40 / 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. 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 Hiring Scraper - Job Listings & Employer Intelligence API **Glassdoor Hiring Scraper is a global hiring intelligence API that extracts structured Glassdoor job listings, verified salary bands, employer-brand signals, and required-skill metadata across 70+ countries in a single keyword-driven run.** Glassdoor Hiring Scraper returns structured records per job, including job title, full job description, required skills, job level, job function, experience range, salary minimum, salary maximum, salary currency, salary period, company name, company industry, company type, company website, company logo URL, company address, employer rating, employee review count, company revenue, employee count, founding year, and Glassdoor profile URL. Coverage spans 70+ Glassdoor markets including US, UK, India, Australia, Germany, Singapore, and Brazil with localized currency normalization. Built for talent intelligence, compensation benchmarking, HR analytics, employer-brand monitoring, competitive hiring research, and workforce data pipelines. Up to 10,000 job records per run, with pay-per-result pricing and no monthly minimum. [![Glassdoor](https://img.shields.io/badge/Glassdoor-0caa41?style=for-the-badge&color=0caa41)](https://apify.com/agentx/glassdoor-hiring-scraper?fpr=aiagentapi) [![Hiring Intelligence](https://img.shields.io/badge/Hiring_Intelligence-0caa41?style=for-the-badge&color=0caa41)](https://apify.com/agentx/glassdoor-hiring-scraper?fpr=aiagentapi) [![Salary Benchmarking](https://img.shields.io/badge/Salary_Benchmarking-0caa41?style=for-the-badge&color=0caa41)](https://apify.com/agentx/glassdoor-hiring-scraper?fpr=aiagentapi) --- ### Why Choose This API #### Deep Glassdoor Hiring Intelligence Across 70+ Markets **💰 Verified Salary Range Extraction** Extract `salary_minimum` and `salary_maximum` values alongside salary currency and period (yearly/monthly/hourly) per job listing. Normalize salary data across markets for global compensation benchmarking. **⭐ Employer Brand & Rating Signals** Capture company ratings, employee review counts, company revenue, employee count, and founding year per listing for employer-brand scoring and competitive workforce analytics. **📋 Full Job Description & Skills Data** Retrieve complete job descriptions, required skills strings, job level, job function, and experience range per listing for role complexity analysis and skill demand tracking. **🏢 Company Intelligence Per Listing** Each record includes company name, industry, type (public/private/nonprofit), website, logo URL, address, and Glassdoor company profile URL — a complete employer intelligence record per job. **🌍 70+ Country Coverage** Target Glassdoor job markets in 70+ countries from the US and UK to India, Australia, Germany, Singapore, and Brazil. Each record returns localized salary data in the configured currency. **📦 Scalable Extraction with Flexible Filters** Configure keyword, country, remote filter, location, distance, posting date, job type, and currency. Scale from 10 to 10,000 job records per run. --- ### Quick Start Guide #### How to Extract Glassdoor Job Data in 3 Steps ##### Step 1: Define Your Search Parameters Enter a job keyword (title, skill, or company name), select a country, and optionally configure location, remote filter, date posted, and job type. ##### Step 2: Configure and Run the Actor [Open Actor Input](https://console.apify.com/actors/jSqkPD04NCwMZO4Uk/input?fpr=aiagentapi) Set the parameters, then click **Start**. ##### Step 3: Download Your Data Export results as JSON or CSV, or access programmatically via the Apify dataset API. Each record contains full job data including salary ranges, company intelligence, skills, and employer metadata. --- ### Input Parameters #### Configuration Fields | Parameter | Type | Required | Description | Example Values | | -------------- | ---------- | -------- | --------------------------------------------- | ------------------------------------------------- | | `keyword` | string | ✅ | Job title, skill, or company name | `"UX Designer"`, `"Python Developer"`, `"Google"` | | `country` | select | ✅ | Target country for job listings | `"United States"`, `"United Kingdom"`, `"India"` | | `max_results` | integer | ✅ | Maximum job records to extract (10–10,000) | `10`, `100`, `500` | | `remote_only` | boolean | ❌ | Restrict to remote positions only | `true`, `false` | | `distance` | integer | ❌ | Geographic radius in km (optional) | `25`, `50`, `100` | | `location` | string | ❌ | Target city or location within the country | `"New York"`, `"London"` | | `posted_since` | datepicker | ❌ | Filter by posting date (absolute or relative) | `"2026-04-01"`, `"-7d"` | | `job_type` | select | ❌ | Filter by employment type | `"fulltime"`, `"contract"`, `"parttime"` | | `currency` | select | ❌ | Currency for salary normalization | `"USD"`, `"EUR"`, `"GBP"` | #### Example Input Configuration ```json { "keyword": "Data Scientist", "country": "United States", "max_results": 100, "remote_only": false, "currency": "USD" } ```` *** ### Output Data Schema #### Complete Job Record Structure Each extracted Glassdoor job record contains the following fields: [Open Actor Output](https://console.apify.com/actors/jSqkPD04NCwMZO4Uk/input?fpr=aiagentapi) #### Core Job Fields | Field | Type | Description | | ------------------ | ------- | ------------------------------------------- | | `processor` | string | Apify actor URL that processed this record | | `processed_at` | string | ISO 8601 timestamp (UTC) when scraped | | `platform` | string | Platform label (`Glassdoor`) | | `platform_url` | string | Job listing URL on Glassdoor | | `official_url` | string | Direct URL to original job posting | | `title` | string | Job position title | | `posted_date` | string | Date the job was posted | | `location` | string | Job location | | `is_remote` | boolean | Whether remote work is allowed | | `description` | string | Full job description text | | `job_type` | string | Employment type (Full-time, Contract, etc.) | | `job_level` | string | Seniority level | | `job_function` | string | Job category/department | | `skills` | string | Required skills and technologies | | `experience_range` | string | Required years of experience | #### Compensation Fields | Field | Type | Description | | ----------------- | ------ | ------------------------------------- | | `salary_minimum` | number | Minimum salary offered | | `salary_maximum` | number | Maximum salary offered | | `salary_currency` | string | ISO currency code | | `salary_period` | string | Pay frequency (yearly/monthly/hourly) | #### Company Intelligence Fields | Field | Type | Description | | --------------------- | ------- | ----------------------------------------- | | `company_name` | string | Employer name | | `company_type` | string | Ownership type (Public/Private/Nonprofit) | | `company_founded` | integer | Year founded | | `company_industry` | string | Industry/sector | | `company_url` | string | Glassdoor company profile URL | | `company_website` | string | Company official website | | `company_logo` | string | Company logo URL | | `company_addresses` | string | Office address | | `company_revenue` | string | Estimated annual revenue range | | `company_description` | string | Company about text | | `company_rating` | number | Glassdoor company rating | | `employee_count` | string | Employee count range | | `review_count` | integer | Number of employee reviews | #### Example JSON Output ```json { "processor": "https://apify.com/agentx/glassdoor-hiring-scraper?fpr=aiagentapi", "processed_at": "2026-05-01T10:30:00.000Z", "platform": "Glassdoor", "platform_url": "https://www.glassdoor.com/job-listing/example-12345", "title": "Senior Data Scientist", "posted_date": "2026-04-28", "location": "San Francisco, CA", "is_remote": true, "job_type": "Full-time", "job_level": "Senior", "job_function": "Data Science", "skills": "Python, SQL, Machine Learning, TensorFlow", "experience_range": "5+ years", "salary_minimum": 140000, "salary_maximum": 180000, "salary_currency": "USD", "salary_period": "yearly", "company_name": "Example Corp", "company_type": "Company - Public", "company_founded": 2012, "company_industry": "Technology", "company_rating": 4.1, "employee_count": "1000-5000", "review_count": 892 } ``` #### Export Formats - **JSON** - Complete structured data with all metadata - **CSV** - Spreadsheet-compatible for HR analysis - **API Access** - Programmatic access via Apify Client SDK - **Cloud Storage** - Automatic upload to Apify Dataset *** ### Integration Examples #### Actor ID for Platform Integration ```text jSqkPD04NCwMZO4Uk ``` #### Ⓜ️ [Make.com Setup:](https://www.make.com/en/register?pc=marketingme) 1. Login to **[Make.com (Get 1000 Free Credits)](https://www.make.com/en/register?pc=marketingme)** 2. Add module **"Run an Actor"** 3. Turn **'Map'** on - right side of the 'Actor\*' 4. Paste **Actor ID** - from above 5. Click the **'⟳ Refresh'** - left side of Map 6. **Input JSON\*** - Modify the parameters as needed 7. Set **"Run synchronously"** to **YES** 8. Add module **"Get Dataset Items"** - receive the result 9. In **Dataset ID\*** select **defaultDatasetId** #### 🎱 [N8N.io Setup:](https://n8n.io/) 1. Add **'Run an Actor and get dataset'** - from the apify node 2. **Actor** → **By ID** → **Paste Actor ID** - from above 3. **Input JSON** - Modify the parameters as needed #### Python Integration Example ```python from apify_client import ApifyClient client = ApifyClient('YOUR_API_TOKEN') run_input = { "keyword": "Data Scientist", "country": "United States", "max_results": 100, "remote_only": False, "currency": "USD" } run = client.actor("jSqkPD04NCwMZO4Uk").call(run_input=run_input) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` #### JavaScript/Node.js Integration ```javascript import { ApifyClient } from "apify-client"; const client = new ApifyClient({ token: "YOUR_API_TOKEN" }); const input = { keyword: "Machine Learning Engineer", country: "United Kingdom", max_results: 200, currency: "GBP", }; const run = await client.actor("jSqkPD04NCwMZO4Uk").call(input); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => console.log(item)); ``` #### JSON-LD Metadata ```json { "@context": "https://schema.org", "@graph": [ { "@type": "SoftwareApplication", "@id": "https://apify.com/agentx/glassdoor-hiring-scraper#software", "name": "Glassdoor Hiring Scraper", "description": "Glassdoor Hiring Scraper is a global hiring intelligence API that extracts structured Glassdoor job listings with verified salary ranges, company ratings, employee reviews, skills data, and employer intelligence across 70+ countries.", "applicationCategory": "BusinessApplication", "applicationSubCategory": "Web Scraping API", "operatingSystem": "Web, Cloud", "url": "https://apify.com/agentx/glassdoor-hiring-scraper?fpr=aiagentapi", "softwareVersion": "1.0.0", "datePublished": "2024-08-01", "dateModified": "2026-05-01", "featureList": [ "Verified salary minimum, maximum, currency, period", "Employer rating plus employee review count", "Full job description plus required skills array", "Company intelligence: industry, type, revenue, headcount, founding year", "70+ Glassdoor country markets with localized currency", "Up to 10,000 job records per run", "Pay-per-result pricing with no monthly minimum", "Native integrations with Make.com, n8n, LangChain, and CrewAI" ], "offers": { "@type": "Offer", "price": "0.0027", "priceCurrency": "USD", "availability": "https://schema.org/InStock" }, "author": { "@id": "https://apify.com/agentx#person" }, "publisher": { "@id": "https://apify.com#organization" } }, { "@type": "Person", "@id": "https://apify.com/agentx#person", "name": "AgentX", "url": "https://apify.com/agentx", "sameAs": [ "https://apify.com/agentx", "https://t.me/AiAgentApi", "https://t.me/Apify_Actor" ], "knowsAbout": [ "web scraping", "Glassdoor", "hiring intelligence", "salary benchmarking", "talent analytics" ] }, { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Apify", "item": "https://apify.com" }, { "@type": "ListItem", "position": 2, "name": "AgentX", "item": "https://apify.com/agentx" }, { "@type": "ListItem", "position": 3, "name": "Glassdoor Hiring Scraper", "item": "https://apify.com/agentx/glassdoor-hiring-scraper" } ] } ] } ``` *** ### Pricing & Cost Calculator #### Pay-Per-Result Pricing | Event | Description | Price (BRONZE) | | --------------- | ------------------------------------------------------ | -------------- | | **Actor Start** | Charged on each run start (per GB memory, min 1 event) | $0.01 | | **Result** | Per job record returned in dataset | $0.0027 | #### Cost Estimation Examples | Records | Estimated Cost | | -------------- | -------------- | | 100 results | ~$0.28 | | 500 results | ~$1.36 | | 1,000 results | ~$2.71 | | 5,000 results | ~$13.51 | | 10,000 results | ~$27.01 | > Prices shown at BRONZE tier. Silver/Gold/Platinum/Diamond tiers offer lower per-result rates. Actor Start cost ($0.01) is separate from per-result pricing. *** ### Use Cases & Applications #### Compensation Benchmarking **Global Salary Intelligence** Extract salary ranges across roles, seniority levels, and geographies to build compensation benchmark datasets. Use `salary_minimum`, `salary_maximum`, `salary_currency`, and `salary_period` fields for normalized cross-market salary analysis. **Role-Level Pay Distribution Analysis** Aggregate salary data by `job_level`, `job_function`, and `company_industry` to build structured compensation benchmarks for HR, recruiting, and workforce planning platforms. **Remote vs. On-Site Compensation Gaps** Segment records by `is_remote` to analyze pay differentials between remote and on-site roles across the same job titles and geographies. #### Talent & HR Intelligence **Competitor Hiring Pattern Analysis** Target specific company names as keywords to monitor competitor hiring velocity, role types, and skill requirements. Combine with [LinkedIn Hiring Scraper](https://apify.com/agentx/linkedin-hiring-scraper?fpr=aiagentapi) for multi-platform competitor talent intelligence. **Skill Demand Tracking** Extract `skills` fields at scale across job functions and geographies to track technology and role-specific skill demand trends for L\&D planning and market analysis. **Employer Brand Intelligence** Combine `company_rating`, `review_count`, `company_type`, and `employee_count` per employer to build employer brand scoring models for talent attraction and retention research. #### AI & Data Applications **NLP Job Description Corpus** Build labeled job description datasets from Glassdoor for NLP model training, skill extraction, and job taxonomy development pipelines. **Workforce Demand ML Models** Train predictive workforce demand models using job titles, locations, salary ranges, and posting dates extracted from Glassdoor at scale. *** ### FAQ #### How many countries does this actor support? 70+ countries including the United States, United Kingdom, India, Australia, Germany, France, Canada, Singapore, Brazil, and more. #### Does the actor extract salary data? Yes. When Glassdoor provides salary information, the actor extracts `salary_minimum`, `salary_maximum`, `salary_currency`, and `salary_period` per listing. #### Can I filter for remote jobs only? Yes. Set `remote_only: true` to restrict results to remote-friendly positions. #### How many job records can I extract per run? Between 10 and **10,000 job records** per run, configurable via `max_results`. #### What company data is included per job listing? Each record includes company name, industry, type, founded year, rating, review count, employee count, revenue range, description, logo URL, website, and Glassdoor profile URL. #### What data format does the actor output? Structured **JSON** with all fields per job record. Data is also available in CSV format and via REST API. *** ### SEO Keywords & Search Terms #### Primary Keywords Glassdoor job scraper API, Glassdoor hiring intelligence, salary range extraction API, Glassdoor employer data, job listing data pipeline, Glassdoor company intelligence, compensation benchmarking API, Glassdoor structured data, HR analytics data extraction, Glassdoor recruitment intelligence #### Long-Tail Keywords how to extract Glassdoor salary data, Glassdoor job listing dataset builder, employer brand intelligence API, Glassdoor company rating extraction, bulk Glassdoor job data extraction, remote job salary benchmarking API, Glassdoor skill demand analysis, competitor hiring pattern monitoring, Glassdoor review count data API, global compensation benchmark dataset #### Industry Terms compensation benchmarking API, talent intelligence extraction, employer brand scoring, workforce demand analytics, salary distribution modeling, HR data pipeline, skills demand tracking, job market intelligence, employer review signals, workforce composition analysis #### Use Case Keywords Glassdoor salary tracker, job market benchmark dataset, employer brand analysis, competitor hiring monitor, global workforce intelligence, job NLP corpus builder, remote salary comparison, HR tech data pipeline, talent acquisition intelligence, Glassdoor competitor analysis *** ### Trust & Certifications - ✅ **Production-Grade Infrastructure** — runs on the Apify cloud platform with managed proxy rotation and automatic retries - ✅ **GDPR & CCPA Aligned** — extracts only publicly available Glassdoor job listings; no personal candidate data retained beyond the run session - ✅ **Pay-Per-Result Billing** — transparent per-job pricing with no monthly minimum or seat fees - ✅ **Continuously Maintained** — schema and selector updates released as Glassdoor evolves *** ### Legal & Compliance #### Data Rights & Usage All data extracted by this actor originates from publicly available Glassdoor job listings. Users are responsible for ensuring their use of extracted data complies with applicable laws, Glassdoor's terms of service, and relevant regulations. #### Privacy Compliance - **GDPR**: Compliant with EU General Data Protection Regulation. No personal data is stored beyond the extraction session. - **CCPA**: Compliant with California Consumer Privacy Act requirements. #### Platform Terms of Service Users must review and comply with Glassdoor's terms of service when using extracted data. 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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 = { "keyword": "Manager", "country": "United States", "max_results": 10, "remote_only": false, "posted_since": "1 year", "job_type": "all", "currency": "USD" }; // Run the Actor and wait for it to finish const run = await client.actor("agentx/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 = { "keyword": "Manager", "country": "United States", "max_results": 10, "remote_only": False, "posted_since": "1 year", "job_type": "all", "currency": "USD", } # Run the Actor and wait for it to finish run = client.actor("agentx/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 '{ "keyword": "Manager", "country": "United States", "max_results": 10, "remote_only": false, "posted_since": "1 year", "job_type": "all", "currency": "USD" }' | apify call agentx/glassdoor-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentx/glassdoor-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Glassdoor Jobs Scraper", "description": "Glassdoor Jobs API with the salary distribution recruiters actually need: p10, p50, and p90 percentiles per posting, alongside company rating, employer review count, employee count, and the hiring company's verified email and phone — across 72 countries.", "version": "1.0", "x-build-id": "csH1ttEmC4WRSVhJO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentx~glassdoor-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentx-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentx~glassdoor-jobs-scraper/runs": { "post": { "operationId": "runs-sync-agentx-glassdoor-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentx~glassdoor-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-agentx-glassdoor-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keyword", "country", "max_results" ], "properties": { "keyword": { "title": "🔍 Keyword", "type": "string", "description": "Job title, skill, or company name to search for" }, "country": { "title": "🌍 Country", "enum": [ "Argentina", "Australia", "Austria", "Bahrain", "Bangladesh", "Belgium", "Bulgaria", "Brazil", "Canada", "Chile", "China", "Colombia", "Costa Rica", "Croatia", "Cyprus", "Czech Republic", "Denmark", "Ecuador", "Egypt", "Estonia", "Finland", "France", "Germany", "Greece", "Hong Kong", "Hungary", "India", "Indonesia", "Ireland", "Israel", "Italy", "Japan", "Kuwait", "Latvia", "Lithuania", "Luxembourg", "Malaysia", "Malta", "Mexico", "Morocco", "Netherlands", "New Zealand", "Nigeria", "Norway", "Oman", "Pakistan", "Panama", "Peru", "Philippines", "Poland", "Portugal", "Qatar", "Romania", "Saudi Arabia", "Singapore", "Slovakia", "Slovenia", "South Africa", "South Korea", "Spain", "Sweden", "Switzerland", "Taiwan", "Thailand", "Turkey", "Ukraine", "United Arab Emirates", "United Kingdom", "United States", "Uruguay", "Venezuela", "Vietnam" ], "type": "string", "description": "Country where the target job listings are located" }, "max_results": { "title": "📊 Max Results", "minimum": 10, "maximum": 10000, "type": "integer", "description": "Maximum number of jobs to return" }, "remote_only": { "title": "🏠 Remote Only", "type": "boolean", "description": "Restrict results to remote-friendly positions only" }, "location": { "title": "📍 Location", "type": "string", "description": "City or region to focus the job search results on" }, "posted_since": { "title": "📅 Posted Since", "type": "string", "description": "Only include listings posted within this timeframe" }, "job_type": { "title": "💼 Job Type", "enum": [ "all", "fulltime", "parttime", "internship", "contract" ], "type": "string", "description": "Employment type to filter by: full-time, contract, etc." }, "currency": { "title": "💱 Currency", "enum": [ "AED", "AFN", "ALL", "AMD", "ANG", "AOA", "ARS", "AUD", "AWG", "AZN", "BAM", "BBD", "BDT", "BGN", "BHD", "BIF", "BMD", "BND", "BOB", "BRL", "BSD", "BTN", "BWP", "BYN", "BZD", "CAD", "CDF", "CHF", "CLF", "CLP", "CNH", "CNY", "COP", "CRC", "CUP", "CVE", "CZK", "DJF", "DKK", "DOP", "DZD", "EGP", "ERN", "ETB", "EUR", "FJD", "FKP", "FOK", "GBP", "GEL", "GGP", "GHS", "GIP", "GMD", "GNF", "GTQ", "GYD", "HKD", "HNL", "HRK", "HTG", "HUF", "IDR", "ILS", "IMP", "INR", "IQD", "IRR", "ISK", "JEP", "JMD", "JOD", "JPY", "KES", "KGS", "KHR", "KID", "KMF", "KRW", "KWD", "KYD", "KZT", "LAK", "LBP", "LKR", "LRD", "LSL", "LYD", "MAD", "MDL", "MGA", "MKD", "MMK", "MNT", "MOP", "MRU", "MUR", "MVR", "MWK", "MXN", "MYR", "MZN", "NAD", "NGN", "NIO", "NOK", "NPR", "NZD", "OMR", "PAB", "PEN", "PGK", "PHP", "PKR", "PLN", "PYG", "QAR", "RON", "RSD", "RUB", "RWF", "SAR", "SBD", "SCR", "SDG", "SEK", "SGD", "SHP", "SLE", "SLL", "SOS", "SRD", "SSP", "STN", "SYP", "SZL", "THB", "TJS", "TMT", "TND", "TOP", "TRY", "TTD", "TVD", "TWD", "TZS", "UAH", "UGX", "USD", "UYU", "UZS", "VES", "VND", "VUV", "WST", "XAF", "XCD", "XCG", "XDR", "XOF", "XPF", "YER", "ZAR", "ZMW", "ZWG", "ZWL" ], "type": "string", "description": "Target currency for converting salary figures" } } }, "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 } } } } } } } } } } ```