# AI Job Search Agent — Web Job Finder (BYOK) (`nomad-agent/web-search-scraper`) Actor An AI agent (Claude, bring your own Anthropic API key) that searches the open web for live job postings matching your free-text query — beyond any single job board. Returns verified records: title, company, location and a working apply URL. Finds roles other scrapers miss. - **URL**: https://apify.com/nomad-agent/web-search-scraper.md - **Developed by:** [Nomad.Dev](https://apify.com/nomad-agent) (community) - **Categories:** Jobs, AI - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## AI Job Search Agent — Web Job Finder (BYOK) An AI agent (BYO API key — Anthropic or Mistral) that hunts the open web for postings matching your query — company career pages, niche boards, anywhere a single job board wouldn't cover. > **Bring your own key.** Pick a `provider` in the input: `anthropic` (default) uses Claude with its built-in web-search tool; `mistral` uses keenable (no-auth open-web search) for discovery plus a Mistral model for per-page judging/extraction. Either way, model usage is **billed separately by the provider you picked**, see [Pricing](#pricing) below. Without a valid key for the selected provider the AI step is skipped and the run returns no items. ### Two providers, same output | | `provider: "anthropic"` (default) | `provider: "mistral"` | |---|---|---| | Discovery | One Claude agent loop forms its own queries, browses, and judges results (built-in `web_search_20250305` tool) | [keenable](https://keenable.ai) web search (no key needed) — queries built mechanically from your `keywords`/`titleMustMatch` | | Page judging + extraction | Same agent loop, inline | One Mistral call per candidate page — vetoes index/aggregator/closed/stale pages, extracts the rest | | Key required | `anthropicApiKey` | `mistralApiKey` | | Output shape | Identical — same fields, same downstream liveness check either way | | Pick `mistral` if you'd rather not hold an Anthropic key, or want a cheaper/faster run — testing found it succeeds more reliably per attempt and finishes faster when Claude's agent loop does too, at a small precision cost the extraction prompt corrects for (rejects closed/stale/third-party-repost pages explicitly). ### What this scraper returns Each result is one flat JSON record per job posting. Before a result is returned, its URL is checked for basic liveness (see [Verification](#verification) below). | Field | Meaning | |---|---| | `id` | Stable identifier derived from the posting URL | | `source` | Always `"web_search"` for this Actor | | `title` | Job title as posted | | `company` | Hiring company / organisation | | `location` | Location / duty station (may include remote hints) | | `url` | Direct link to the posting | | `postedAt` | Posting date where the source provides it (`YYYY-MM-DD`) | | `snippet` | Short description excerpt | | `salary` | Salary text where available — currently always `null` (this Actor's discovery agent does not extract salary yet) | | `verified` | `true` when the liveness check confirmed the URL reachable at run time; `false` when the check couldn't complete (timeout, connection error) but the result was kept (see below) | ### How to scrape AI job search with this Actor 1. Click **Try for free** / **Run** — no login to the target site, no cookies, no proxies to configure. 2. Adjust the input (keyword, filters, `maxItems`) or keep the defaults. 3. Run it and export the dataset as JSON, CSV or Excel, or read it over the [API](https://docs.apify.com/api/v2). Run it from your own code: ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("nomad-agent/web-search-scraper").call(run_input={"maxItems": 15, "anthropicApiKey": "sk-ant-..."}) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["title"], "—", item["company"], item["url"]) ```` Or a single HTTP call that runs the Actor and returns items in one response: ```bash curl -X POST \ "https://api.apify.com/v2/acts/nomad-agent~web-search-scraper/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"maxItems": 15, "anthropicApiKey": "sk-ant-..."}' ``` ### Verification "Verified" means one thing only: **the posting URL is HTTP-reachable and does not redirect to the site's homepage/root.** After the discovery agent proposes candidate postings, this Actor issues a `HEAD` (falling back to `GET`) request to each URL with a 10-second timeout and modest concurrency. A result is **dropped** only when: - the final response is `404` or `410` (the posting is gone), or - the URL redirects to the site's root path (`/` or empty path) — a common pattern for expired listings. Anything else — a normal `200`, a `403`/`5xx` from a bot-defensive site, a timeout, or a connection error — is **kept**, since those don't reliably distinguish "blocked us" from "actually dead." Results kept because the check couldn't complete (timeout/connection error) carry `verified: false` so you can tell them apart from confirmed-reachable ones. This is a structural HTTP liveness check, not a claim about listing accuracy, freshness, or relevance — that judgment still comes from the discovery agent and any downstream scoring you apply. Run-level counts (`rawPostings`, `titleExcluded`, `urlsChecked`, `kept`, `dropped`) are written to the run's key-value store under `VERIFICATION_STATS` and logged at the end of each run. ### Input | Field | Type | Default | Notes | |---|---|---|---| | `provider` | string (select) | `"anthropic"` | `anthropic` (Claude + built-in web search) or `mistral` (keenable web search + Mistral extraction). See [Two providers](#two-providers-same-output) above. | | `anthropicApiKey` | string | — (required when `provider: "anthropic"`) | Your Anthropic API key (`sk-ant-…`). | | `model` | string | `"claude-haiku-4-5-20251001"` | Claude model for the discovery agent (`provider: "anthropic"` only). Haiku is fast and inexpensive; switch to Sonnet or Opus for higher-quality extraction on complex pages. | | `mistralApiKey` | string | — (required when `provider: "mistral"`) | Your Mistral API key. Used only for per-page judging/extraction — the search itself (keenable) needs no key. | | `mistralModel` | string (select) | `"mistral-medium-latest"` | Mistral model for per-page judging/extraction (`provider: "mistral"` only). Testing found Small matches Medium on quality for this task at ~5x the speed — switch to Small for faster/cheaper runs. | | `keywords` | array | — | Role or technology keywords the agent should search for (e.g. "frontend", "react", "typescript"). Each entry is one keyword or short phrase. | | `locations` | array | — | Preferred locations or "remote". Biases results toward these and skips obvious mismatches. | | `remote` | string (select) | `"any"` | Remote work preference: `any`, `remote-only`, `hybrid`, `on-site`. `provider: "anthropic"` only — the `mistral` path doesn't currently read this field. | | `seniority` | string (select) | `"any"` | Target seniority level: `any`, `junior`, `mid`, `senior`, `lead`. `provider: "anthropic"` only — the `mistral` path doesn't currently read this field. | | `titleMustMatch` | array | — | Both providers: preferred/searched title terms. On `mistral`, used to build the keenable search queries when `keywords` is empty. | | `titleExclude` | array | — | Postings whose title contains any of these terms are dropped — enforced client-side after discovery, both providers. | | `maxItems` | integer | `15` | Maximum number of job postings to return (1–30). Either provider may return fewer if it can't find enough good candidates, or if some fail the liveness check. | | `maxAgeHours` | integer | `168` | Preferred maximum age of postings in hours (minimum 24). `provider: "anthropic"` only — the `mistral` path's extraction prompt has its own fixed ~30-day freshness cutoff instead. | | `userDescription` | string | — | Free-text description of what you are looking for. `provider: "anthropic"` only — the `mistral` path doesn't currently read this field. | **Note on `seniority`:** this field used to accept free text and now uses a fixed dropdown (`any` / `junior` / `mid` / `senior` / `lead`). If you have a saved input configuration with an old free-text value that isn't one of these options, it will fail validation on the next run — open the input and re-select from the dropdown. ### Output example ```json { "id": "ws-3f9a1c2b7d", "source": "web_search", "title": "Computational Linguist", "company": "DeepJudge", "location": "Zurich / Remote EU", "url": "https://deepjudge.ai/careers/computational-linguist", "postedAt": "2026-06-25", "snippet": "Found on company careers page during agent web search.", "salary": null, "verified": true } ``` ### Integrations Send results straight to Google Sheets, Slack, Make, Zapier or any webhook via [Apify integrations](https://apify.com/integrations) — no code required, or pull the dataset over the [API](https://docs.apify.com/api/v2). ### Pricing **Your API key is billed separately by whichever provider you picked.** The Apify pricing below covers Actor usage only: - `provider: "anthropic"` — Anthropic charges for model + built-in web-search tool usage on your key. See [Anthropic's pricing](https://www.anthropic.com/pricing). - `provider: "mistral"` — keenable's search needs no key (free to you). Mistral charges only for the small per-page judging/extraction calls on your key — typically far fewer tokens per run than the Anthropic agent-loop path. See [Mistral's pricing](https://mistral.ai/pricing). Apify side — pay per event: **$0.05 per Actor start** and **$0.004 per job returned**. 100 jobs ≈ $0.45 on Apify. No subscription, no rental — you pay only for what you fetch. ### Use cases - Long-tail job discovery beyond big boards - Passive-candidate tooling (find who hires for X) - Niche-role hunting (rare stacks, rare titles) - Backfilling gaps in board coverage ### FAQ **Is it legal to scrape AI job search?** This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case. **Do I need an account on the target site?** No. Postings are discovered via web search and fetched from public pages — no login, cookies or session tokens. **Does "verified" mean the listing is accurate or still accepting applications?** No. It means the URL was HTTP-reachable and did not redirect to the site's homepage at check time (see [Verification](#verification)). A posting can still have closed between the check and when you view it. **How many jobs can I get?** `maxItems` caps the run between 1 and 30 (default 15). The agent may return fewer than the cap if it can't find enough good candidates or if some fail the liveness check. **Why is `salary` always null?** The discovery agent does not currently extract salary text from postings. The field is included in every record for schema consistency with other Actors in this collection. **Something broken or missing?** Open an issue on the Actor's **Issues** tab — it is monitored and reliability fixes ship fast. ### Related Actors - [LinkedIn Jobs Scraper — No Login, No Cookies](https://apify.com/nomad-agent/linkedin-scraper) - [Research & Academic Jobs Scraper — 10 Sources](https://apify.com/nomad-agent/researcher-bundle) - [Web Developer Jobs Scraper — 10 Boards in One](https://apify.com/nomad-agent/web-dev-bundle) # Actor input Schema ## `provider` (type: `string`): Which AI provider runs discovery + extraction. "anthropic" (default) uses a Claude agent with Anthropic's built-in web-search tool. "mistral" uses keenable (no-auth web search) for discovery plus a Mistral model for per-page judging/extraction -- pick this if you'd rather bring a Mistral key than an Anthropic one. ## `anthropicApiKey` (type: `string`): Your Anthropic API key (sk-ant-…). Required when provider is "anthropic". The actor uses it to run a web-searching AI agent that discovers job postings. ## `model` (type: `string`): Claude model to use for the discovery agent (provider="anthropic" only). Haiku is fast and inexpensive; switch to Sonnet for higher-quality extraction on complex pages. ## `mistralApiKey` (type: `string`): Your Mistral API key. Required when provider is "mistral". Used only for per-page judging/extraction -- the web search itself goes through keenable, which needs no key. ## `mistralModel` (type: `string`): Mistral model for per-page judging/extraction (provider="mistral" only). Medium is the default. Testing found Small matches Medium on quality for this task (extraction is small and well-scoped) at ~5x the speed -- switch to Small if you want faster/cheaper runs. ## `keywords` (type: `array`): Role or technology keywords the agent should search for (e.g. "frontend", "react", "typescript"). Each entry is one keyword or short phrase. ## `locations` (type: `array`): Preferred locations or "remote". The agent will bias results toward these and skip obvious mismatches. ## `remote` (type: `string`): Remote work preference communicated to the search agent. ## `seniority` (type: `string`): Target seniority level. The agent will prefer postings that match. (Previously free-text; now a fixed list. A saved input with an old free-text value that isn't one of the options below will fail validation on the next run -- pick the closest option and re-save.) ## `titleMustMatch` (type: `array`): The agent will prefer postings whose title contains at least one of these terms. ## `titleExclude` (type: `array`): The agent will skip postings whose title contains any of these terms. ## `maxItems` (type: `integer`): Maximum number of job postings to return. The agent may return fewer if it cannot find enough high-quality matches. ## `maxAgeHours` (type: `integer`): Preferred maximum age of postings in hours. The agent will prefer fresh postings but may include older ones when fresh results are scarce. ## `userDescription` (type: `string`): Free-text description of what you are looking for. The agent uses this as primary signal alongside the structured filters above. ## Actor input object example ```json { "provider": "anthropic", "model": "claude-haiku-4-5-20251001", "mistralModel": "mistral-medium-latest", "keywords": [ "frontend", "react", "typescript" ], "locations": [ "remote", "Europe", "Spain" ], "remote": "any", "seniority": "any", "titleMustMatch": [ "frontend", "react", "typescript" ], "titleExclude": [ "intern", "manager" ], "maxItems": 15, "maxAgeHours": 168, "userDescription": "Looking for a senior React engineer role at a product company, ideally in fintech or developer tooling, fully remote within Europe." } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("nomad-agent/web-search-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 = {} # Run the Actor and wait for it to finish run = client.actor("nomad-agent/web-search-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 '{}' | apify call nomad-agent/web-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-agent/web-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Job Search Agent — Web Job Finder (BYOK)", "description": "An AI agent (Claude, bring your own Anthropic API key) that searches the open web for live job postings matching your free-text query — beyond any single job board. Returns verified records: title, company, location and a working apply URL. Finds roles other scrapers miss.", "version": "0.1", "x-build-id": "fNdy9iBLPvmsZISN2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-agent~web-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-agent-web-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nomad-agent~web-search-scraper/runs": { "post": { "operationId": "runs-sync-nomad-agent-web-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nomad-agent~web-search-scraper/run-sync": { "post": { "operationId": "run-sync-nomad-agent-web-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "provider": { "title": "AI provider", "enum": [ "anthropic", "mistral" ], "type": "string", "description": "Which AI provider runs discovery + extraction. \"anthropic\" (default) uses a Claude agent with Anthropic's built-in web-search tool. \"mistral\" uses keenable (no-auth web search) for discovery plus a Mistral model for per-page judging/extraction -- pick this if you'd rather bring a Mistral key than an Anthropic one.", "default": "anthropic" }, "anthropicApiKey": { "title": "Anthropic API key", "type": "string", "description": "Your Anthropic API key (sk-ant-…). Required when provider is \"anthropic\". The actor uses it to run a web-searching AI agent that discovers job postings." }, "model": { "title": "Claude model", "enum": [ "claude-haiku-4-5-20251001", "claude-sonnet-4-5", "claude-opus-4-5" ], "type": "string", "description": "Claude model to use for the discovery agent (provider=\"anthropic\" only). Haiku is fast and inexpensive; switch to Sonnet for higher-quality extraction on complex pages.", "default": "claude-haiku-4-5-20251001" }, "mistralApiKey": { "title": "Mistral API key", "type": "string", "description": "Your Mistral API key. Required when provider is \"mistral\". Used only for per-page judging/extraction -- the web search itself goes through keenable, which needs no key." }, "mistralModel": { "title": "Mistral model", "enum": [ "mistral-small-latest", "mistral-medium-latest", "mistral-large-latest" ], "type": "string", "description": "Mistral model for per-page judging/extraction (provider=\"mistral\" only). Medium is the default. Testing found Small matches Medium on quality for this task (extraction is small and well-scoped) at ~5x the speed -- switch to Small if you want faster/cheaper runs.", "default": "mistral-medium-latest" }, "keywords": { "title": "Keywords / role type", "type": "array", "description": "Role or technology keywords the agent should search for (e.g. \"frontend\", \"react\", \"typescript\"). Each entry is one keyword or short phrase.", "items": { "type": "string" } }, "locations": { "title": "Preferred locations", "type": "array", "description": "Preferred locations or \"remote\". The agent will bias results toward these and skip obvious mismatches.", "items": { "type": "string" } }, "remote": { "title": "Remote preference", "enum": [ "any", "remote-only", "hybrid", "on-site" ], "type": "string", "description": "Remote work preference communicated to the search agent.", "default": "any" }, "seniority": { "title": "Seniority level", "enum": [ "any", "junior", "mid", "senior", "lead" ], "type": "string", "description": "Target seniority level. The agent will prefer postings that match. (Previously free-text; now a fixed list. A saved input with an old free-text value that isn't one of the options below will fail validation on the next run -- pick the closest option and re-save.)", "default": "any" }, "titleMustMatch": { "title": "Title must contain", "type": "array", "description": "The agent will prefer postings whose title contains at least one of these terms.", "items": { "type": "string" } }, "titleExclude": { "title": "Title must NOT contain", "type": "array", "description": "The agent will skip postings whose title contains any of these terms.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 30, "type": "integer", "description": "Maximum number of job postings to return. The agent may return fewer if it cannot find enough high-quality matches.", "default": 15 }, "maxAgeHours": { "title": "Max posting age (hours)", "minimum": 24, "type": "integer", "description": "Preferred maximum age of postings in hours. The agent will prefer fresh postings but may include older ones when fresh results are scarce.", "default": 168 }, "userDescription": { "title": "Your own description / request (optional)", "type": "string", "description": "Free-text description of what you are looking for. The agent uses this as primary signal alongside the structured filters above." } } }, "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 } } } } } } } } } } ```