# Hacker News Who's Hiring Jobs Scraper (`parseforge/hn-whoishiring-scraper`) Actor Parse the monthly Ask HN: Who is hiring? threads into structured job postings. Returns company, role, location, remote/onsite/hybrid, salary, visa support, full tech stack detection, employment type, and HN comment URL. Filter by month, keyword, remote-only, salary, or stack. - **URL**: https://apify.com/parseforge/hn-whoishiring-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Jobs, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $15.00 / 1,000 result items 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## 💼 Hacker News Who's Hiring Jobs Scraper > 🚀 **Parse the monthly Ask HN: Who is hiring? threads into structured job postings with company, role, salary, location, remote, visa, and stack auto-detected.** > 🕒 **Last updated:** 2026-05-06 · **📊 22 fields** per record · **Hundreds of jobs per month** · auto-detected stack · salary ranges parsed · remote/onsite/hybrid flags · visa support detection The **Hacker News Who's Hiring Jobs Scraper** parses the monthly *Ask HN: Who is hiring?* threads into structured job postings. Output includes company, role, location, remote/onsite/hybrid flags, salary range with currency, visa-support detection, employment type, full description, and a direct link to the original HN comment. Each *Who's Hiring* thread carries hundreds of top-level comments, each posted by a hiring manager with a structured `Company | Role | Location | Type | Salary | Visa` header. The Actor parses every comment, auto-detects 60+ tech stacks (Python, Rust, React, AWS, LLMs, Web3), and lets you filter by keyword, remote-only, salary minimum, or specific stack. | 🎯 Target Audience | 💡 Primary Use Cases | |---|---| | Recruiters, hiring managers, job seekers, salary-research analysts, dev-tool marketers, NLP/ML pipelines | Job-market intelligence, salary benchmarking, recruiting candidate sourcing, dev-tool ICP mapping, content marketing on hiring trends | --- ### 📋 What the Hacker News Who's Hiring Jobs Scraper does Five filtering workflows in a single run: - 📅 **Pick any month.** `2026-05` for May 2026, or `current` for the latest available thread. - 🔍 **Keyword filter.** Match across role, company, stack, and description. - 🌍 **Remote-only filter.** Restrict to postings tagged remote (excluding onsite-only flags). - 💰 **Salary minimum.** Filter to jobs with parsed salaries at or above a USD threshold. - 🛠️ **Stack filter.** Match jobs mentioning a specific technology (Python, Rust, React, LLM). > 💡 **Why it matters:** clean, server-side filtering removes the parser-and-pagination work from your team and keeps your dataset fresh on every run. --- ### 🎬 Full Demo _🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset._ --- ### ⚙️ Input
InputTypeDefaultBehavior
maxItemsinteger10Records to return. Free plan caps at 10, paid plan up to 1,000,000.
monthstring"current"`YYYY-MM` or `current` for the latest thread.
keywordstring""Free-text filter applied to each parsed job.
remoteOnlybooleanfalseOnly return jobs tagged remote.
minSalaryinteger0Minimum parsed salary (USD).
stackstring""Filter to jobs mentioning a specific stack.
**Example: all current Senior + Remote roles.** ```json { "maxItems": 100, "month": "current", "keyword": "senior", "remoteOnly": true } ```` **Example: Python jobs paying $150k+ in May 2026.** ```json { "maxItems": 200, "month": "2026-05", "stack": "Python", "minSalary": 150000 } ``` *** ### 📊 Output Each record contains **22 fields**. Download the dataset as CSV, Excel, JSON, or XML. #### 🧾 Schema | Field | Type | Example | |---|---|---| | 🏢 `company` | string | `"Pathos AI"` | | 👤 `role` | string | `"Senior Software / AI Engineer"` | | 📍 `location` | string | null | `"NYC (hybrid, 3-4 days onsite)"` | | 🌍 `remote` | boolean | `false` | | 🏢 `onsite` | boolean | `true` | | 🏢 `hybrid` | boolean | `true` | | 📋 `employmentType` | string | null | `"Full-time"` | | 💰 `salaryRaw` | string | null | `"$180-200K"` | | 💰 `salaryMin` | number | null | `180000` | | 💰 `salaryMax` | number | null | `200000` | | 💰 `salaryCurrency` | string | null | `"USD"` | | 🛂 `visa` | boolean | `true` | | 🛠️ `stack` | array | `["Python","TypeScript","BigQuery","GCP","LLM","OpenAI"]` | | 📝 `descriptionText` | string | `"Pathos is an oncology biotech..."` | | 📅 `threadMonth` | string | `"2026-05"` | | 👤 `hnUser` | string | `"founder123"` | | 🔗 `hnCommentUrl` | string | `"https://news.ycombinator.com/item?id=47975572"` | | 📅 `postedAt` | ISO 8601 | `"2026-05-01T16:00:00Z"` | #### 📦 Sample records
🤖 AI biotech NYC hybrid ```json {"company":"Pathos AI","role":"Senior Software / AI Engineer","location":"NYC (hybrid, 3-4 days onsite)","remote":false,"hybrid":true,"employmentType":"Full-time","salaryRaw":"$180-200K","salaryMin":180000,"salaryMax":200000,"salaryCurrency":"USD","visa":true,"stack":["Python","TypeScript","BigQuery","GCP","LLM","OpenAI"]} ```
🌐 Remote Python ```json {"company":"INDATA","role":"AI Development Associate","location":"REMOTE (US) or San Diego","remote":true,"salaryRaw":"$95,000–$115,000","salaryMin":95000,"salaryMax":115000,"stack":["Python","React","FastAPI","Redis","Azure","OpenAI","Anthropic","Claude"]} ```
*** ### ✨ Why choose this Actor | | Capability | |---|---| | 🛠️ | **Auto-stack detection.** 60+ tech keywords scanned per posting (languages, frameworks, clouds, AI providers). | | 💰 | **Salary parsing.** Heuristic match on USD/EUR/GBP ranges and singletons; min/max extracted as numbers. | | 🌐 | **Remote/onsite/hybrid.** Three boolean flags from contextual parsing. | | 📅 | **Month-by-month archives.** Pull any historical Who's Hiring thread by `YYYY-MM` since 2011. | | ⚡ | **Fast.** 100 jobs in under 30 seconds; 300+ in a few minutes. | *** ### 📈 How it compares to alternatives | Approach | Cost | Coverage | Refresh | Filters | Setup | |---|---|---|---|---|---| | **⭐ This Actor** | $5 free credit | **~300 jobs/month** | Live per run | month, keyword, remote, salary, stack | ⚡ 2 min | | Manual HN scrolling | Free | Manual | Live | Read each | 🐢 Hours per month | | Whoishiring.io | Free | Same source, web UI | Variable | Limited | 🕒 Manual export | | LinkedIn / Indeed | Variable | Different audience | Live | Yes | 🐢 Account | Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance. *** ### 🚀 How to use 1. 📝 **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. 🌐 **Open the Actor.** Go to the Hacker News Who's Hiring Jobs Scraper page on the Apify Store. 3. 🎯 **Set input.** Pick your filters and `maxItems`. 4. 🚀 **Run it.** Click **Start** and let the Actor collect your data. 5. 📥 **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML. > ⏱️ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required. *** ### 💼 Business use cases
#### 👔 Recruiters & Sourcers - Build candidate-target lists by stack - Track hiring velocity in your niche - Identify companies hiring for your specialty - Salary benchmarks for offer pitches #### 📊 Salary Research - Track market salary ranges by role and stack - Compare remote vs onsite premiums - Year-over-year salary inflation - Geo-based pay gap analysis
#### 🛒 Dev Tool Marketing - Identify ICP companies hiring for your stack - Spot hiring booms in target verticals - Power partnership outreach - Build custom landing pages by stack #### 🎯 Job Seekers - Filter for visa-friendly, remote, your stack - Surface high-quality jobs without scrolling - Track follow-up commitments - Build a pipeline of applications
*** ### 🔌 Automating Hacker News Who's Hiring Jobs Scraper Control the scraper programmatically for scheduled runs and pipeline integrations: - 🟢 **Node.js.** Install the `apify-client` NPM package. - 🐍 **Python.** Use the `apify-client` PyPI package. - 📚 See the [Apify API documentation](https://docs.apify.com/api/v2) for full details. The [Apify Schedules feature](https://docs.apify.com/platform/schedules) lets you trigger this Actor on any cron interval. Hourly, daily, or weekly refreshes keep downstream databases in sync automatically. *** ### 🌟 Beyond business use cases Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
#### 🎓 Research and academia - Tech-labor-market research - Salary inflation studies - Remote work prevalence research - Reproducible HN job snapshots #### 🎨 Personal and creative - Personal job-search dashboards - Salary-tracking newsletters - Side projects on hiring trends - Hobbyist career planning
#### 🤝 Non-profit and civic - Tech-job accessibility research - Remote-work advocacy data - Diversity and inclusion analysis - Bootcamp outcome tracking #### 🧪 Experimentation - Train job-classification ML models - Prototype salary-prediction features - Test resume-job matching - Build job-recommendation engines
*** ### 🤖 Ask an AI assistant about this scraper Open a ready-to-send prompt about this ParseForge actor in the AI of your choice: - 💬 [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20HN%20Who%27s%20Hiring%20Jobs%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - 🧠 [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20HN%20Who%27s%20Hiring%20Jobs%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - 🔍 [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20HN%20Who%27s%20Hiring%20Jobs%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - 🅒 [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20HN%20Who%27s%20Hiring%20Jobs%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) *** ### ❓ Frequently Asked Questions #### 🧩 How does it work? Each month, Hacker News mods post 'Ask HN: Who is hiring?' as a thread. Top-level comments are job postings from individual companies. The Actor finds the right thread for the requested month, fetches every top-level comment, and parses each into a structured job record. #### 📅 How far back does it go? Who's Hiring threads have run monthly since April 2011. Any month from 2011 to current is searchable. #### 📊 How many fields per record? 22, including company, role, location, remote/onsite/hybrid, salary range with currency, visa support, employment type, full description, stack, and HN comment URL. #### 🛠️ How accurate is stack detection? 60+ tech keywords scanned by case-insensitive word boundary. Catches the major languages, frameworks, clouds, databases, and AI providers. False negatives possible for very niche or vague mentions. #### 💰 Why is my salary minimum filter dropping jobs? Salary parsing is heuristic. If a posting has no parseable salary header (e.g. 'competitive' or no header at all), `salaryMin` is null and won't match. Set `minSalary: 0` to keep them. #### 🔁 Can I schedule runs? Yes. Schedule it for the 1st of each month to auto-pull the new Who's Hiring thread. #### ⚖️ Is this data public? Yes. Hacker News content is publicly browsable. Only public posts are collected. #### 💳 Do I need a paid Apify plan? No. The free plan covers preview runs. A paid plan unlocks higher item counts and scheduling. #### 🆘 What if a run fails? Apify retries transient errors. Partial datasets are preserved. #### 📅 What does `month: current` mean? The latest available Who's Hiring thread, usually posted on the 1st of the current month. *** ### 🔌 Integrate with any app Hacker News Who's Hiring Jobs Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations): - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe data into your warehouse - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets You can also use webhooks to trigger downstream actions when a run finishes. *** ### 🔗 Recommended Actors - [**📊 Stack Exchange Questions**](https://apify.com/parseforge/stackexchange-questions-scraper) - Search 170+ Stack Exchange sites - [**💻 VS Code Marketplace**](https://apify.com/parseforge/vs-code-marketplace-scraper) - VS Code extensions catalog - [**🎌 AniList Anime/Manga**](https://apify.com/parseforge/anilist-anime-manga-scraper) - Anime, manga, light novels - [**📰 Hacker News Search (existing)**](https://apify.com/parseforge/hacker-news-scraper) - Stories, comments, users from HN - [**📊 Greenhouse Jobs Scraper**](https://apify.com/parseforge/greenhouse-jobs-scraper) - Greenhouse-hosted company job pages > 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers. *** **🆘 Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom data project, or report an issue. *** > **⚠️ Disclaimer:** this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Y Combinator, Hacker News, or any individual hiring company. All trademarks mentioned are the property of their respective owners. Only publicly available open data is collected. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `month` (type: `string`): Month in `YYYY-MM` format (e.g. `2026-05`), or `current` for the latest available thread. ## `keyword` (type: `string`): Free-text search applied to each job posting (matches role, company, stack, description). Empty = all jobs. ## `remoteOnly` (type: `boolean`): When checked, returns only postings tagged remote. ## `minSalary` (type: `integer`): Filter to jobs with a parsed salary at or above this number. Empty = no salary filter. Salary parsing is heuristic. ## `stack` (type: `string`): Filter to jobs mentioning a specific stack (e.g. `Python`, `Rust`, `React`). ## Actor input object example ```json { "maxItems": 10, "month": "current", "remoteOnly": false } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "maxItems": 10, "month": "current", "keyword": "", "minSalary": 0, "stack": "" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/hn-whoishiring-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 = { "maxItems": 10, "month": "current", "keyword": "", "minSalary": 0, "stack": "", } # Run the Actor and wait for it to finish run = client.actor("parseforge/hn-whoishiring-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 '{ "maxItems": 10, "month": "current", "keyword": "", "minSalary": 0, "stack": "" }' | apify call parseforge/hn-whoishiring-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/hn-whoishiring-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hacker News Who's Hiring Jobs Scraper", "description": "Parse the monthly Ask HN: Who is hiring? threads into structured job postings. Returns company, role, location, remote/onsite/hybrid, salary, visa support, full tech stack detection, employment type, and HN comment URL. Filter by month, keyword, remote-only, salary, or stack.", "version": "1.0", "x-build-id": "Eyo4KgM8g3gfqW0nn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~hn-whoishiring-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-hn-whoishiring-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~hn-whoishiring-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-hn-whoishiring-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~hn-whoishiring-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-hn-whoishiring-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "month": { "title": "Month", "type": "string", "description": "Month in `YYYY-MM` format (e.g. `2026-05`), or `current` for the latest available thread." }, "keyword": { "title": "Keyword filter", "type": "string", "description": "Free-text search applied to each job posting (matches role, company, stack, description). Empty = all jobs." }, "remoteOnly": { "title": "Remote-only", "type": "boolean", "description": "When checked, returns only postings tagged remote.", "default": false }, "minSalary": { "title": "Minimum salary (USD)", "minimum": 0, "type": "integer", "description": "Filter to jobs with a parsed salary at or above this number. Empty = no salary filter. Salary parsing is heuristic." }, "stack": { "title": "Stack keyword", "type": "string", "description": "Filter to jobs mentioning a specific stack (e.g. `Python`, `Rust`, `React`)." } } }, "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 } } } } } } } } } } ```