# Indeed Jobs Scraper (`agentx/indeed-jobs-scraper`) Actor Indeed Jobs API covering all 72 country domains. Pull up to 10,000 postings per run with title, location, salary (FX-converted to USD/EUR/GBP or any of 130+ currencies), required skills, and the hiring company's verified email and phone — ready to push straight into Greenhouse, Lever, or your CRM. - **URL**: https://apify.com/agentx/indeed-jobs-scraper.md - **Developed by:** [AgentX](https://apify.com/agentx) (community) - **Categories:** Jobs, Lead generation, Agents - **Stats:** 118 total users, 21 monthly users, 100.0% runs succeeded, 6 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.50 / 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 ## Indeed Hiring Scraper - Recruitment Intelligence & Job Posting Extraction API **Indeed Hiring Scraper is a global recruitment intelligence API that extracts structured Indeed job postings, normalized salary bands, company firmographics, and required-skill vectors across 70+ countries in a single keyword-driven run.** Indeed Hiring Scraper returns structured records per job, including job title, full job description, required skills array, salary minimum, salary maximum, salary period, salary currency, posted-since timestamp, company name, company type, founded year, industry, revenue band, employee count, company website, company rating, contact emails, phone numbers, and social_links. Coverage spans 70+ Indeed markets including US, UK, Canada, India, Germany, Japan, Brazil, and Australia with automatic currency conversion across 150+ currencies. Built for talent benchmarking, ATS pipelines, competitive hiring analysis, compensation research, hiring velocity monitoring, B2B enrichment, and workforce intelligence pipelines. Up to 10,000 job records per run, with pay-per-result pricing and no monthly minimum. [![Indeed](https://img.shields.io/badge/Indeed-003A9B?style=for-the-badge&color=003A9B)](https://apify.com/agentx/indeed-hiring-scraper?fpr=aiagentapi) [![Hiring Intelligence](https://img.shields.io/badge/Hiring_Intelligence-003A9B?style=for-the-badge&color=003A9B)](https://apify.com/agentx/indeed-hiring-scraper?fpr=aiagentapi) [![Lead Generation](https://img.shields.io/badge/Lead_Generation-003A9B?style=for-the-badge&color=003A9B)](https://apify.com/agentx/indeed-hiring-scraper?fpr=aiagentapi) --- ### Why Choose This API #### Full Indeed Job Intelligence for Competitive Talent Benchmarking **💰 Salary Band Extraction & Compensation Benchmarking** Extract `salary_minimum`, `salary_maximum`, `salary_period`, and `salary_currency` per job listing, with automatic currency conversion across 150+ currencies for global compensation benchmarking and pay equity analysis. **🏢 Company Firmographic Intelligence** Every record includes company type, founded year, industry, revenue band, employee count, company website, and company rating — delivering firmographic signals for B2B qualification, competitive intelligence, and market sizing. **⚡ Hiring Velocity & Posting Date Tracking** Filter by `posted_since` to monitor when competitors are rapidly scaling specific roles, track hiring acceleration patterns, and detect workforce expansion signals before they surface in public reports. **🛠️ Required-Skill Vector Extraction** The `skills` field captures required technologies, frameworks, and capabilities per role for talent demand mapping, curriculum development, skills gap analysis, and competitive workforce benchmarking. **🌍 70+ Country Coverage** Target hiring data across Argentina, Australia, Brazil, Canada, China, France, Germany, India, Japan, UK, US, and 60+ additional markets for cross-country workforce intelligence and global talent pipeline analysis. **📞 Contact & Social Enrichment** Enriches each posting with `emails`, `phones`, and `social_links` from company profiles for direct outreach and CRM enrichment pipelines. --- ### Quick Start Guide #### How to Extract Indeed Job Data in 3 Steps ##### Step 1: Define Your Search Enter a job title, skill keyword, or company name, select the target country, and configure filters for remote work, date range, and job type. ##### Step 2: Configure and Run the Actor [Open Actor Input](https://console.apify.com/actors/xO9d32iQjbduePxUD/input?fpr=aiagentapi) Set the keyword, country, max results, and optional filters, 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 intelligence including salary bands, required skills, company firmographics, and posting dates. --- ### Input Parameters #### Configuration Fields | Parameter | Type | Required | Description | Example Values | | -------------- | ---------- | -------- | ---------------------------------------------------- | ------------------------------------------------------- | | `keyword` | string | ✅ | Job title, skill, or company name to search | `"Registered Nurse"`, `"Data Engineer"`, `"Salesforce"` | | `country` | select | ✅ | Target market (70+ countries supported) | `"United States"`, `"Canada"`, `"Germany"` | | `max_results` | integer | ✅ | Maximum job postings to extract (10–10,000) | `100`, `500`, `1000` | | `remote_only` | boolean | ❌ | Restrict to remote-friendly positions only | `false`, `true` | | `distance` | integer | ❌ | Search radius in miles around location (50–10,000) | `50`, `200` | | `location` | string | ❌ | Target city or region for location-specific analysis | `"New York, NY"`, `"London"` | | `posted_since` | datepicker | ❌ | Only include listings posted within this timeframe | `"7 days"`, `"1 month"`, `"2026-01-01"` | | `job_type` | select | ❌ | Employment type filter | `"all"`, `"fulltime"`, `"contract"`, `"parttime"` | | `currency` | select | ❌ | Target currency for salary normalization | `"USD"`, `"EUR"`, `"GBP"` | #### Example Input Configuration ```json { "keyword": "Software Engineer", "country": "United States", "max_results": 500, "remote_only": false, "location": "Austin, TX", "posted_since": "1 month", "job_type": "fulltime", "currency": "USD" } ```` *** ### Output Data Schema #### Complete Job Record Structure Each extracted Indeed job record contains the following fields: [Open Actor Output](https://console.apify.com/actors/xO9d32iQjbduePxUD/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 name (Indeed) | | `platform_url` | string | Job listing URL on Indeed | | `official_url` | string | Direct URL to original job posting | | `title` | string | Job position or role title | | `posted_date` | string | Date the job was originally posted | | `location` | string | City, state, or country of the role | | `is_remote` | boolean | True if position allows remote work | | `description` | string | Full job description and requirements text | #### Job Classification Fields | Field | Type | Description | | ------------------ | ------- | ------------------------------------------------ | | `job_type` | string | Employment type (Full-time, Part-time, Contract) | | `job_level` | string | Seniority level (Junior, Senior, Manager) | | `job_function` | string | Department (Engineering, Sales, Finance) | | `listing_type` | string | Listing format (Standard, Featured) | | `skills` | string | Required skills and technologies | | `work_from_home` | string | Hybrid/remote arrangement details | | `vacancy_count` | integer | Number of open positions | | `experience_range` | string | Required years of experience | #### Compensation Fields | Field | Type | Description | | ----------------- | ------- | --------------------------------------------- | | `salary_period` | string | Pay frequency (yearly, monthly, hourly) | | `salary_minimum` | number | Minimum salary offered | | `salary_maximum` | number | Maximum salary offered | | `salary_currency` | string | ISO currency code for salary | | `easy_apply` | boolean | True if direct platform application available | #### Company Fields | Field | Type | Description | | --------------------- | ------- | ------------------------------------------- | | `company_name` | string | Hiring company name | | `company_type` | string | Ownership type (Public, Private, Nonprofit) | | `company_founded` | integer | Year company was founded | | `company_industry` | string | Industry or sector | | `company_url` | string | Company profile URL on Indeed | | `company_website` | string | Official company website URL | | `company_logo` | string | Company logo image URL | | `company_addresses` | string | Physical office address | | `company_revenue` | string | Estimated annual revenue range | | `company_description` | string | Company overview | | `company_rating` | number | Company rating score (out of 5) | | `employee_count` | string | Approximate employee count range | | `review_count` | integer | Total employee reviews on Indeed | | `emails` | array | Contact email addresses | | `phones` | array | Contact phone numbers | | `social_links` | object | Social media profile URLs | #### Example JSON Output ```json { "processor": "https://apify.com/agentx/indeed-hiring-scraper?fpr=aiagentapi", "processed_at": "2026-05-01T10:30:00.000Z", "platform": "Indeed", "title": "Senior Software Engineer", "posted_date": "2026-04-28", "location": "Austin, TX", "is_remote": false, "job_type": "Full-time", "job_level": "Senior", "skills": "Python, AWS, React, Node.js", "salary_minimum": 140000, "salary_maximum": 180000, "salary_period": "yearly", "salary_currency": "USD", "company_name": "TechCorp Inc.", "company_industry": "Technology", "company_rating": 4.1, "employee_count": "1000-5000", "easy_apply": true } ``` #### Export Formats - **JSON** - Complete structured data with all metadata - **CSV** - Spreadsheet-compatible for ATS, CRM, and reporting tools - **API Access** - Programmatic access via Apify Client SDK - **Cloud Storage** - Automatic upload to Apify Dataset *** ### Integration Examples #### Actor ID for Platform Integration ```text xO9d32iQjbduePxUD ``` #### Ⓜ️ [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": 500, "job_type": "fulltime", "currency": "USD" } run = client.actor("xO9d32iQjbduePxUD").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: "Product Manager", country: "United Kingdom", max_results: 200, remote_only: true, currency: "GBP", }; const run = await client.actor("xO9d32iQjbduePxUD").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/indeed-hiring-scraper#software", "name": "Indeed Hiring Scraper", "description": "Indeed Hiring Scraper is a global recruitment intelligence API that extracts structured Indeed job postings with salary bands, company firmographics, posting velocity, required-skill vectors, and compensation benchmarks across 70+ countries.", "applicationCategory": "BusinessApplication", "applicationSubCategory": "Web Scraping API", "operatingSystem": "Web, Cloud", "url": "https://apify.com/agentx/indeed-hiring-scraper?fpr=aiagentapi", "softwareVersion": "1.0.0", "datePublished": "2024-08-01", "dateModified": "2026-05-01", "featureList": [ "Salary minimum, maximum, period, currency per job", "Automatic currency conversion across 150+ currencies", "Company firmographics: type, founded, industry, revenue, headcount", "Required-skill vector extraction per role", "70+ Indeed country markets with localized currency", "Contact enrichment: emails, phones, social_links", "Up to 10,000 job records per run", "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", "Indeed", "hiring intelligence", "talent analytics", "compensation benchmarking" ] }, { "@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": "Indeed Hiring Scraper", "item": "https://apify.com/agentx/indeed-hiring-scraper" } ] } ] } ``` *** ### Pricing & Cost Calculator #### Pay-Per-Event Pricing | Event | Description | BRONZE Price | | --------------- | ------------------------------------ | ------------ | | **Actor Start** | Charged on run start (per GB memory) | $0.01 | | **result** | Per job posting extracted | $0.0027 | #### Cost Estimation Examples | Results | 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 | > Silver/Gold/Platinum/Diamond tiers offer lower per-result rates ($0.0025–$0.0026/result). *** ### Use Cases & Applications #### Talent Intelligence & Recruitment Operations **Competitive Hiring Velocity Monitoring** Track which competitors are posting roles at scale using `posted_since` filters to detect headcount expansion before it becomes public — giving recruiting teams early signals for talent sourcing and competitive intelligence. **Salary Band Benchmarking & Compensation Strategy** Aggregate `salary_minimum`, `salary_maximum`, and `salary_period` across hundreds of postings for a role and geography to build data-driven compensation benchmarks for HR teams and pay equity audits. **Skills Demand Mapping & Workforce Analytics** Extract `skills` vectors across thousands of postings in a category to identify in-demand technologies and capabilities, power skills gap analysis, and inform workforce planning and training investments. #### B2B Sales & Lead Generation **Hiring Signal-Based B2B Prospecting** Companies actively hiring for specific roles are high-intent prospects for SaaS tools, training platforms, and services targeting those teams. Filter by role keyword + company industry to identify decision-makers before competitors. **Company Firmographic Enrichment Pipeline** Use `company_revenue`, `employee_count`, `company_industry`, and `company_type` to enrich CRM records with firmographic signals sourced from Indeed's extensive employer database across 70+ countries. **ATS & HR Tech Pipeline Integration** Push structured job records directly into ATS platforms, data warehouses, or analytics tools via the Apify API for continuous ingestion of fresh hiring signals. #### Market Research & Economic Intelligence **Cross-Country Talent Demand Analysis** Run parallel keyword searches across multiple countries to map international talent demand, identify emerging hiring hubs, and support global workforce expansion strategy. **Job Posting Volume as Economic Indicator** Track job posting volume by keyword and geography over time to build leading economic indicators for specific sectors, regions, or technology categories. *** ### FAQ #### How many countries does Indeed Hiring Scraper support? 70+ countries including Argentina, Australia, Brazil, Canada, China, France, Germany, India, Japan, UK, US, Vietnam, and many more. #### Can I filter by remote jobs only? Yes. Set `remote_only` to `true` to restrict results to remote-friendly positions. #### Does this actor extract salary data? Yes. The `salary_minimum`, `salary_maximum`, `salary_period`, and `salary_currency` fields are extracted when available on the job posting. #### How do I monitor competitor hiring in real time? Set `posted_since` to a relative value like `"7 days"` and schedule the actor to run daily. Use `keyword` as a competitor company name to track their hiring activity. #### What company data is included per job? Each record includes company name, type, industry, founded year, revenue band, employee count, company rating, review count, website, logo, and social media links. #### Can I normalize salaries to a specific currency? Yes. Use the `currency` parameter to specify your target currency for salary normalization. *** ### SEO Keywords & Search Terms #### Primary Keywords Indeed job scraper API, Indeed hiring intelligence API, job posting extraction API, Indeed recruitment data pipeline, salary band extraction API, competitive hiring analysis API, Indeed data extractor, job market intelligence API, workforce analytics pipeline, hiring signal B2B intelligence #### Long-Tail Keywords how to extract Indeed job data programmatically, Indeed salary benchmark API, bulk job posting extraction pipeline, competitor hiring velocity monitoring, skills demand mapping API, ATS job data integration, Indeed multi-country recruitment data, job posting date filter API, company firmographic enrichment from Indeed, remote job extraction API #### Industry Terms ATS pipeline integration, recruitment intelligence, talent benchmarking, workforce analytics, hiring velocity signals, compensation benchmarking, skills gap analysis, B2B prospecting signals, job market intelligence, firmographic enrichment #### Use Case Keywords Indeed competitor hiring tracker, salary band benchmarking tool, remote job data pipeline, skills demand analysis API, HR tech data integration, B2B hiring signal API, job posting volume analysis, talent demand mapping, economic indicator job data, cross-country workforce intelligence *** ### 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 Indeed job postings; 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 Indeed evolves *** ### Legal & Compliance #### Data Rights & Usage All data extracted by this actor originates from publicly available Indeed job listings. Users are responsible for ensuring their use of extracted data complies with applicable laws, Indeed's terms of service, and employment data regulations in their target jurisdictions. #### 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 Indeed'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": "Nurse", "country": "United States", "max_results": 10, "remote_only": false, "distance": 200, "posted_since": "1 year", "job_type": "all", "currency": "USD" }; // Run the Actor and wait for it to finish const run = await client.actor("agentx/indeed-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": "Nurse", "country": "United States", "max_results": 10, "remote_only": False, "distance": 200, "posted_since": "1 year", "job_type": "all", "currency": "USD", } # Run the Actor and wait for it to finish run = client.actor("agentx/indeed-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": "Nurse", "country": "United States", "max_results": 10, "remote_only": false, "distance": 200, "posted_since": "1 year", "job_type": "all", "currency": "USD" }' | apify call agentx/indeed-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentx/indeed-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed Jobs Scraper", "description": "Indeed Jobs API covering all 72 country domains. Pull up to 10,000 postings per run with title, location, salary (FX-converted to USD/EUR/GBP or any of 130+ currencies), required skills, and the hiring company's verified email and phone — ready to push straight into Greenhouse, Lever, or your CRM.", "version": "1.0", "x-build-id": "s9j4YydwbNSu3iTcf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentx~indeed-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentx-indeed-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentx~indeed-jobs-scraper/runs": { "post": { "operationId": "runs-sync-agentx-indeed-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentx~indeed-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-agentx-indeed-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" }, "distance": { "title": "🗺 Distance", "minimum": 50, "maximum": 10000, "type": "integer", "description": "Search radius in miles around the specified location" }, "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 } } } } } } } } } } ```