# Linkedin Job Scraper (`happitap/linkedin-job-scraper`) Actor Scrape publicly available LinkedIn job listings without login to identify companies actively hiring. Designed for sales, recruitment, and research teams who need hiring-intent signals without managing LinkedIn accounts or cookies. - **URL**: https://apify.com/happitap/linkedin-job-scraper.md - **Developed by:** [HappiTap](https://apify.com/happitap) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 89 total users, 12 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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. 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 ## LinkedIn Public Jobs Scraper – No Login Required **Scrape publicly available LinkedIn job listings without login to identify companies actively hiring. Designed for sales, recruitment, and research teams who need hiring-intent signals without managing LinkedIn accounts or cookies.** ### What is LinkedIn Public Jobs Scraper? The **LinkedIn Public Jobs Scraper** is an Apify Actor that extracts publicly available job postings from LinkedIn's job search pages **without requiring any login credentials**. This tool helps you identify companies that are actively hiring, which is one of the strongest buying-intent signals in B2B sales and recruitment. Simply provide **keywords** (like "software engineer" or "data scientist") and a **location** (like "United States" or "India"), and the Actor will scrape job listings from LinkedIn's public job search results. The Actor works entirely with publicly accessible data, making it store-safe, legally compliant, and easy to maintain. ### Why use LinkedIn Public Jobs Scraper? #### 🎯 Business Use Cases - **SaaS Outbound Sales** - Find companies actively hiring for roles related to your product or service - **Recruitment Agencies** - Discover new job openings to fill and identify hiring trends - **Market Research** - Track hiring patterns in specific industries, regions, or technologies - **VC & Startup Intelligence** - Monitor startup hiring patterns and growth signals - **Lead Enrichment Pipelines** - Enrich company data with hiring-intent signals #### 🚀 Platform Advantages When you use this Actor on the Apify platform, you get access to powerful features that make web scraping reliable and scalable: - **Built-in Proxy Rotation** - Automatic residential proxy rotation to avoid blocking - **Monitoring & Alerts** - Real-time monitoring of Actor runs with email/Slack notifications - **API Access** - Integrate job scraping into your workflows via REST API - **Scheduling** - Automate job scraping on a schedule (daily, weekly, etc.) - **Data Storage** - Automatic dataset storage with export to JSON, CSV, Excel, or HTML - **Integrations** - Connect to Google Sheets, Zapier, Make.com, and more - **Error Handling** - Automatic retries and session rotation for reliable scraping #### ⚖️ Legal & Ethical This Actor: - ✅ Scrapes **publicly accessible** LinkedIn job data only - ✅ **Does NOT require** LinkedIn login credentials - ✅ **Does NOT bypass** login walls or authentication - ✅ **Does NOT scrape** private profiles or personal data - ✅ Complies with LinkedIn's public data access policies This approach ensures lower legal risk, easier maintenance, and long-term stability. ### What data can LinkedIn Public Jobs Scraper extract? The Actor extracts comprehensive job listing data from LinkedIn's public job search pages. Here's what you can expect: | Field | Description | Example | |-------|-------------|---------| | **jobId** | Unique LinkedIn job posting ID | `"4340871731"` | | **jobTitle** | Title of the job posting | `"Software Engineer - New Grad"` | | **companyName** | Name of the hiring company | `"Two Sigma"` | | **companyUrl** | LinkedIn company page URL | `"https://linkedin.com/company/..."` | | **location** | Job location | `"New York, United States"` | | **jobUrl** | Direct URL to the job posting | `"https://linkedin.com/jobs/view/..."` | | **postedAt** | When the job was posted | `"6 days ago"` | | **jobDescription** | Full job description (when available) | HTML or plain text | | **employmentType** | Employment type | `"Full-time"`, `"Contract"`, etc. | | **experienceLevel** | Required experience level | `"Entry"`, `"Mid-Senior"`, `"Senior"` | | **isRemote** | Whether the job is remote | `true` or `false` | | **dataQuality** | Data completeness indicator | `"full"` or `"partial"` | | **scrapedAt** | ISO timestamp of when scraped | `"2026-01-03T12:48:13.671Z"` | ### How to scrape LinkedIn jobs #### Step-by-Step Tutorial 1. **Set up your input** - Enter job **keywords** (e.g., `["software engineer", "developer"]`) - Specify the **location** (e.g., `"United States"` or `"India"`) - Set **maxJobs** to limit the number of results (default: 200) 2. **Configure optional filters** (optional) - **datePosted**: Filter by posting date (`"7d"`, `"30d"`, etc.) - **experienceLevel**: Filter by level (`["entry", "mid", "senior"]`) - **jobType**: Filter by type (`["full-time", "contract"]`) - **remote**: Filter for remote jobs only (`true`/`false`) 3. **Run the Actor** - Click "Start" to begin scraping - Monitor progress in real-time - The Actor will automatically handle proxy rotation and anti-blocking 4. **Download your results** - Results are saved to the Dataset - Export as JSON, CSV, Excel, or HTML - Access via API for integration with your tools #### Advanced Configuration - **slowMode**: Enable to reduce blocking risk (recommended: `true`) - **maxConcurrency**: Control request speed (default: `3`, range: 1-10) - **proxyCountry**: Specify proxy country code (e.g., `"IN"`, `"US"`) - **includeJobDescription**: Attempt to scrape full descriptions (default: `true`) ### How much does it cost to scrape LinkedIn jobs? The LinkedIn Public Jobs Scraper uses Apify's **consumption-based pricing model**, meaning you only pay for the Compute Units (CUs) consumed during the Actor run. #### Pricing Breakdown - **Free Plan**: 5 USD in free platform credits monthly - **Starter Plan**: Pay-as-you-go pricing starting at $0.25 per 1,000 CUs - **Pro Plan**: Volume discounts available for high-volume users #### Cost Estimates - **Small run** (100 jobs): ~50-100 CUs ≈ **$0.01 - $0.03** - **Medium run** (500 jobs): ~250-500 CUs ≈ **$0.06 - $0.13** - **Large run** (2,000 jobs): ~1,000-2,000 CUs ≈ **$0.25 - $0.50** *Note: Actual CU consumption depends on factors like page complexity, proxy usage, and whether job descriptions are included.* #### Free Trial New Apify users get **$5 in free platform credits** every month, which is enough to scrape **thousands of job listings** for free. This makes it easy to test the Actor and see if it meets your needs before committing to a paid plan. ### Input Example The Actor accepts simple input parameters. Here's a typical configuration: ```json { "keywords": ["software engineer", "developer"], "location": "United States", "maxJobs": 200, "datePosted": "7d", "experienceLevel": ["mid", "senior"], "jobType": ["full-time"], "remote": false, "includeJobDescription": true, "slowMode": true, "maxConcurrency": 3 } ```` **Required fields:** - `keywords` - Array of job search keywords - `location` - Job location string **Optional fields:** - All other fields have sensible defaults and can be omitted Click on the **Input** tab above to see the full input schema with descriptions and tooltips. ### Output Example The Actor outputs structured JSON data. Here's a sample result: ```json { "jobId": "4340871731", "jobTitle": "Software Engineering Full-Time Campus Hire - NYC", "companyName": "Two Sigma", "companyUrl": "https://www.linkedin.com/company/two-sigma-investments", "location": "New York, United States", "jobUrl": "https://www.linkedin.com/jobs/view/software-engineering-full-time-campus-hire-nyc-at-two-sigma-4340871731", "postedAt": "6 days ago", "jobDescription": "We are looking for...", "employmentType": "Full-time", "experienceLevel": "Entry level", "isRemote": false, "descriptionAvailable": true, "dataQuality": "full", "loginWallDetected": false, "scrapedAt": "2026-01-03T12:48:13.671Z" } ``` You can download the dataset extracted by LinkedIn Public Jobs Scraper in various formats such as **JSON, HTML, CSV, or Excel**. Access the data via the **Dataset** tab or integrate it into your workflows using the **Apify API**. ### Tips for Best Results #### 🎯 Optimize Your Search - Use **specific keywords** for better results (e.g., "React developer" instead of "developer") - Combine multiple related keywords in the array for broader coverage - Use **location filters** to target specific markets #### ⚡ Performance Tips - Enable **slowMode** to reduce blocking risk (recommended for production) - Set **maxConcurrency** to 2-3 for better reliability - Use **datePosted** filter to focus on recent listings - Set **includeJobDescription** to `false` for faster scraping if descriptions aren't needed #### 🔄 Automation - Use **Apify Scheduler** to run the Actor daily or weekly - Set up **webhooks** to receive notifications when runs complete - Integrate with **Zapier** or **Make.com** for no-code automation - Use the **Apify API** to trigger runs programmatically #### 📊 Data Quality - Check the `dataQuality` field: `"full"` means description was scraped, `"partial"` means only card data - Some job descriptions may require login (`loginWallDetected: true`) - this is expected for some listings - Use `descriptionAvailable: false` to filter out jobs without descriptions if needed ### Is it legal to scrape LinkedIn jobs? Our scraper is ethical and does not extract any private user data, such as email addresses, personal profiles, or private information. It only extracts **publicly available job listings** that are visible to anyone visiting LinkedIn's job search pages without logging in. We believe that our scraper, when used for ethical purposes by Apify users, is safe and compliant. However, you should be aware that: - The scraper only accesses **public data** that doesn't require authentication - It **does not bypass** login walls or authentication mechanisms - It **does not scrape** private profiles or personal information - Results contain only information that LinkedIn makes publicly accessible Personal data is protected by GDPR in the European Union and by other regulations around the world. You should not use scraped data in ways that violate privacy regulations. If you're unsure whether your use case is legitimate, consult your lawyers. You can also read our blog post on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/). ### FAQ #### How many jobs can I scrape? The Actor can scrape up to **10,000 jobs per run** (configurable via `maxJobs`). For larger datasets, you can run multiple Actor runs with different keywords or locations. #### Why are some job descriptions missing? Some LinkedIn job descriptions require login to view. The Actor marks these with `descriptionAvailable: false` and `loginWallDetected: true`. This is expected behavior when scraping public data only. #### Can I scrape without proxies? The Actor works best with Apify's built-in proxy rotation. While it can run without proxies, you may encounter more blocking. We recommend using the default proxy configuration. #### How often should I run the Actor? For fresh data, we recommend running the Actor **daily or weekly** depending on your needs. Use Apify Scheduler to automate runs. #### Can I get real-time job alerts? Yes! Combine the Actor with Apify Scheduler and webhooks to get notified when new jobs matching your criteria are posted. #### What's the difference between this Actor and LinkedIn's official API? LinkedIn's official API has limited job search capabilities and requires partnership agreements. This Actor provides a flexible alternative for accessing public job listings without API restrictions. #### Can I customize this Actor? Yes! You can fork this Actor and customize it for your specific needs. If you need a completely custom solution, contact the Actor creator for custom development options. #### Where can I get support? - Check the **Issues** tab for known issues and community discussions - Review the **Changelog** for updates and improvements - Contact support through the Apify platform - We're open to feedback and feature requests! ### Related Actors Looking for more LinkedIn scraping capabilities? Check out these related Actors: - **[LinkedIn Profile Scraper](https://apify.com)** - Scrape public LinkedIn profiles - **[LinkedIn Company Scraper](https://apify.com)** - Extract company information from LinkedIn - **[LinkedIn Sales Navigator Scraper](https://apify.com)** - Scrape Sales Navigator data *Note: Replace with actual Actor links when available* *** **Ready to start scraping LinkedIn jobs?** Click the "Start" button above to run the Actor, or check out the **Input** tab to configure your search parameters. # Actor input Schema ## `keywords` (type: `array`): Array of job keywords to search for (e.g., \['frontend developer', 'react developer']). Each keyword will be searched separately. ## `location` (type: `string`): Job location (e.g., 'India', 'United States', 'Remote'). This will be used to filter job search results. ## `maxJobs` (type: `integer`): Maximum number of jobs to scrape. The Actor will stop once this limit is reached. ## `datePosted` (type: `string`): Filter jobs by when they were posted. Leave empty to get all jobs regardless of posting date. ## `experienceLevel` (type: `array`): Filter jobs by required experience level. You can select multiple levels. ## `jobType` (type: `array`): Filter jobs by employment type. You can select multiple types. ## `remote` (type: `boolean`): If enabled, only remote jobs will be returned. Disable to get both remote and on-site jobs. ## `slowMode` (type: `boolean`): Enable slow mode to reduce blocking risk. Adds random delays between requests. Recommended for production use. ## `maxConcurrency` (type: `integer`): Maximum number of concurrent requests. Lower values reduce blocking risk but increase runtime. Higher values are faster but may trigger rate limits. ## `proxyCountry` (type: `string`): Country code for proxy selection (e.g., 'IN' for India, 'US' for United States). Leave empty for automatic selection based on location. ## `includeJobDescription` (type: `boolean`): Attempt to scrape full job descriptions from detail pages. Some descriptions may require login and will be marked as unavailable. ## Actor input object example ```json { "keywords": [ "software engineer" ], "location": "United States", "maxJobs": 200, "datePosted": "", "experienceLevel": [], "jobType": [], "remote": false, "slowMode": true, "maxConcurrency": 3, "proxyCountry": "", "includeJobDescription": true } ``` # Actor output Schema ## `jobListings` (type: `string`): Complete list of all scraped LinkedIn job postings with full details including job title, company, location, description, and metadata. Use this to access all job data in JSON, CSV, or Excel format. ## `overview` (type: `string`): Structured table view of job listings showing key information at a glance. Best for quick review and filtering of results. # 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" ], "location": "United States" }; // Run the Actor and wait for it to finish const run = await client.actor("happitap/linkedin-job-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 = { "keywords": ["software engineer"], "location": "United States", } # Run the Actor and wait for it to finish run = client.actor("happitap/linkedin-job-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 '{ "keywords": [ "software engineer" ], "location": "United States" }' | apify call happitap/linkedin-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=happitap/linkedin-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Job Scraper", "description": "Scrape publicly available LinkedIn job listings without login to identify companies actively hiring. Designed for sales, recruitment, and research teams who need hiring-intent signals without managing LinkedIn accounts or cookies.", "version": "0.0", "x-build-id": "xTaljtkPe7k8WEvRQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/happitap~linkedin-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-happitap-linkedin-job-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/happitap~linkedin-job-scraper/runs": { "post": { "operationId": "runs-sync-happitap-linkedin-job-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/happitap~linkedin-job-scraper/run-sync": { "post": { "operationId": "run-sync-happitap-linkedin-job-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": [ "keywords", "location", "maxJobs" ], "properties": { "keywords": { "title": "Job Keywords", "minItems": 1, "type": "array", "description": "Array of job keywords to search for (e.g., ['frontend developer', 'react developer']). Each keyword will be searched separately.", "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Job location (e.g., 'India', 'United States', 'Remote'). This will be used to filter job search results." }, "maxJobs": { "title": "Maximum Jobs", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of jobs to scrape. The Actor will stop once this limit is reached.", "default": 200 }, "datePosted": { "title": "Date Posted Filter", "enum": [ "1d", "7d", "30d", "r604800", "r2592000" ], "type": "string", "description": "Filter jobs by when they were posted. Leave empty to get all jobs regardless of posting date.", "default": "" }, "experienceLevel": { "title": "Experience Level", "type": "array", "description": "Filter jobs by required experience level. You can select multiple levels.", "items": { "type": "string", "enum": [ "entry", "mid", "senior", "internship" ], "enumTitles": [ "Entry Level", "Mid Level", "Senior Level", "Internship" ] }, "default": [] }, "jobType": { "title": "Job Type", "type": "array", "description": "Filter jobs by employment type. You can select multiple types.", "items": { "type": "string", "enum": [ "full-time", "part-time", "contract", "temporary", "volunteer", "internship" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Volunteer", "Internship" ] }, "default": [] }, "remote": { "title": "Remote Only", "type": "boolean", "description": "If enabled, only remote jobs will be returned. Disable to get both remote and on-site jobs.", "default": false }, "slowMode": { "title": "Slow Mode", "type": "boolean", "description": "Enable slow mode to reduce blocking risk. Adds random delays between requests. Recommended for production use.", "default": true }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of concurrent requests. Lower values reduce blocking risk but increase runtime. Higher values are faster but may trigger rate limits.", "default": 3 }, "proxyCountry": { "title": "Proxy Country", "pattern": "^[A-Z]{2}$", "maxLength": 2, "type": "string", "description": "Country code for proxy selection (e.g., 'IN' for India, 'US' for United States). Leave empty for automatic selection based on location.", "default": "" }, "includeJobDescription": { "title": "Include Job Description", "type": "boolean", "description": "Attempt to scrape full job descriptions from detail pages. Some descriptions may require login and will be marked as unavailable.", "default": true } } }, "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 } } } } } } } } } } ```