# NAV.no Jobs Scraper — arbeidsplassen.no (Norway) (`unfenced-group/nav-no-jobs-scraper`) Actor Scrape Norwegian job listings from NAV Arbeidsplassen. Search by keyword, filter by county, occupation, engagement type, sector and remote policy. Returns 35+ fields. - **URL**: https://apify.com/unfenced-group/nav-no-jobs-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Jobs, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.40 / 1,000 listing 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 ## NAV.no Jobs Scraper ![NAV.no Jobs Scraper](https://api.apify.com/v2/key-value-stores/lJlifu6C8YQfZMPKE/records/nav-no-jobs-scraper) Extract job listings from arbeidsplassen.nav.no at scale, in a clean, consistent structure ready for analysis, job boards, recruiting tools and market research. No API key required. --- ### Why this scraper? #### 🎯 Built for Norway A dedicated Norwegian scraper, not a global tool with a country dropdown. Search, locations and currency (NOK) are tuned for arbeidsplassen.nav.no. #### 📄 Clean job records Job title, direct listing URL and publish date for every record, in a consistent structure. #### 📍 Location fields Structured location data for every listing, ready for filtering and analysis. --- ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | `keyword` | string | (empty) | Free-text search query. Searches title, description, and tags. Example: 'sykepleier', 'ingeniør Oslo', 'IT consultant' | | `counties` | array | (empty) | Filter by Norwegian county. Leave empty for all counties. | | `municipalities` | array | (empty) | Filter by specific municipality. Format: COUNTY.MUNICIPALITY (e.g. OSLO.OSLO, TRØNDELAG.TRONDHEIM, ROGALAND.STAVANGER). Can be combined with counties. | | `occupationFirstLevels` | array | (empty) | Filter by broad occupational category. | | `engagementTypes` | array | (empty) | Filter by employment type. | | `sector` | string | (empty) | Filter by public or private sector. | | `extents` | array | (empty) | Filter by extent of employment. | | `remote` | string | (empty) | Filter by remote/home-office policy. | | `education` | array | (empty) | Filter by minimum education level. | | `experience` | array | (empty) | Filter by years of experience required. | | `workLanguages` | array | (empty) | Filter by required work language. | | `needDriversLicense` | string | (empty) | true = must have licence, false = not required. | | `publishedWithin` | string | (empty) | Only return listings published within this time window. | | `hasSuperraskSoknad` | boolean | `false` | Only return listings with NAV's quick-apply feature. | | `isSummerJob` | boolean | `false` | Only return listings flagged as summer jobs. | | `isUnder18` | boolean | `false` | Only return listings suitable for workers under 18. | | `sortBy` | string | `"published"` | How to sort results. | | `maxResults` | integer | `5` | Maximum number of job listings to return. Set to 0 for unlimited. | | `fetchDetails` | boolean | `false` | Fetch the detail page for each listing to get additional fields: full job description HTML, engagement type, work days/hours, job arrangement, position count, start date, employer sector/org number/homepage, and AI-extracted competences. Counts as a separate charge per listing. | | `proxyConfiguration` | object | (empty) | Optional proxy. NAV Arbeidsplassen is open and does not require a proxy. | --- ### Output schema Every field below is present on every record. Fields the source does not publish for a given job are returned as `null` rather than omitted. | Field | Type | Description | |---|---|---| | `id` | string | Unique listing ID from the source. | | `url` | string | Direct link to the listing. | | `title` | string | Job title as published. | | `jobTitle` | string | Job title. | | `employer` | string | Employer. | | `employerName` | string | Employer name. | | `source` | string | Source. | | `medium` | string | Medium. | | `reference` | string | Reference. | | `published` | string | Published. | | `expires` | string | Expires. | | `status` | string | Status. | | `address` | string | Address. | | `postalCode` | string | Postal code of the position. | | `city` | string | City of the position. | | `municipal` | string | Municipal. | | `county` | string | County. | | `country` | string | Country of the position. | | `allLocations` | string | All locations. | | `workLanguages` | array | — | | `education` | array | — | | `experience` | array | — | | `remote` | string | — | | `needDriversLicense` | boolean | — | | `applicationDueLabel` | string | Application due label. | | `keywords` | string | Keywords. | | `hasSuperraskSoknad` | string | false | | `adTextFormat` | string | Ad text format. | | `locationText` | string | Location text. | | `occupationLevel1` | string | Occupation level1. | | `occupationLevel2` | string | Occupation level2. | | `categoryNames` | array | Category names. | | `aiShortSummary` | string | Ai short summary. | | `aiIsUnder18` | boolean | Ai is under18. | | `isUnder18` | boolean | false | | `aiSearchTags` | array | Ai search tags. | | `searchtags` | array | ### Additional fields with `fetchDetails: true` | #### Example record ```json { "id": "ff8b5896-c32a-40b9-9db4-a03e77639dd8", "url": "https://arbeidsplassen.nav.no/stillinger/stilling/ff8b5896-c32a-40b9-9db4-a03e77639dd8", "title": "Lege søkes til Nord-Norge", "jobTitle": "Lege / Legevikar / Allmennlege", "employer": "Dedicare Doctor", "employerName": "DEDICARE DOCTOR AS", "source": "FINN", "medium": "FINN", "reference": "468411248", "published": "2026-07-01T14:36:00.528441942+02:00", "expires": "2026-07-10T07:06:26.976537+02:00", "status": "ACTIVE", "address": "Kronspinsgens gate 5", "postalCode": "0251", "city": "OSLO", "municipal": "OSLO", "county": "OSLO", "country": "NORGE", "allLocations": null, "workLanguages": [ "Norsk", "Skandinavisk" ], "education": [ "Master" ], "experience": [ "Mye" ], "remote": null, "needDriversLicense": false, "applicationDueLabel": "Snarest", "keywords": "Lege,Allmennmedisin,Sykehjem,vikarlege,legekontor", "hasSuperraskSoknad": null, "adTextFormat": null, "locationText": "Oslo", "occupationLevel1": "Helse og sosial", "occupationLevel2": "Lege", "categoryNames": [ "Fastlege", "Fastlege", "Allmennpraktiserende leger", "Allmennpraktiserende leger" ], "aiShortSummary": "Legevikar søkes med norsk autorisasjon til dagtidsarbeid på legekontor. Fokus på øyeblikkelig hjelp og legevakt. Gode kommunikasjons- og samarbeidsevner kreves.", "aiIsUnder18": false, "isUnder18": false, "aiSearchTags": [ "Akuttmedisin", "Allmennlege", "Helse", "Helsevesen" ], "searchtags": [ "Fastlege", "Lege", "Legevaktslege" ] } ```` *** ### Examples **Search for lærer roles in Bergen:** ```json { "keyword": "lærer", "maxResults": 100 } ``` **Broad nationwide crawl:** ```json { "keyword": "lærer", "maxResults": 1000 } ``` **Larger run with a hard cap:** ```json { "keyword": "lærer", "maxResults": 500 } ``` **Daily feed (run on a schedule):** ```json { "keyword": "lærer", "maxResults": 500 } ``` Schedule this input in the Apify Scheduler (for example daily at 07:00) to keep an always-fresh feed of the newest listings. *** ### 💰 Pricing **$0.45 per 1,000 results** — you only pay for successfully retrieved listings. Failed retries are never charged. | Results | Cost | |---|---| | 100 | ~$0.04 | | 1,000 | ~$0.45 | | 10,000 | ~$4.5 | | 100,000 | ~$45 | > Flat-rate alternatives typically charge $29–$49/month regardless of usage. Subscription tiers lower the rate further, down to $0.35 per 1,000 at the highest tier. Use the **Max results** cap in the input to control your spend exactly. *** ### Performance | Run size | Typical time | |---|---| | 100 results | under 1 minute | | 1,000 results | 2–4 minutes | | 10,000 results | 20–35 minutes | *** ### Known limitations - Salary is only returned when the employer publishes it — many listings carry `null` salary fields. - Company details vary per listing; the scraper returns what the source publishes and never invents data. - Very large result sets are bounded by the source's own paging limits. - Listings can be removed by the source at any time, so a small share of URLs may expire shortly after scraping. *** ### Technical details - **Source:** arbeidsplassen.nav.no — Norway job listings - **Coverage:** everything the public search exposes, filterable via the input parameters above - **Retry:** automatic retry on network errors with exponential backoff *** ### Need a custom scraper? **[Unfenced Group](https://www.unfencedgroup.nl)** builds Apify actors for any website — for free. If the site you need isn't in our portfolio yet, just ask. We scope, build, and publish it at no cost to you. You only pay for results — we absorb the compute and proxy costs ourselves. Same pay-per-result pricing, same quality, same standards as every actor in this portfolio. **Get in touch:** [www.unfencedgroup.nl](https://www.unfencedgroup.nl) # Actor input Schema ## `keyword` (type: `string`): Free-text search query. Searches title, description, and tags. Example: 'sykepleier', 'ingeniør Oslo', 'IT consultant' ## `counties` (type: `array`): Filter by Norwegian county. Leave empty for all counties. ## `municipalities` (type: `array`): Filter by specific municipality. Format: COUNTY.MUNICIPALITY (e.g. OSLO.OSLO, TRØNDELAG.TRONDHEIM, ROGALAND.STAVANGER). Can be combined with counties. ## `occupationFirstLevels` (type: `array`): Filter by broad occupational category. ## `engagementTypes` (type: `array`): Filter by employment type. ## `sector` (type: `string`): Filter by public or private sector. ## `extents` (type: `array`): Filter by extent of employment. ## `remote` (type: `string`): Filter by remote/home-office policy. ## `education` (type: `array`): Filter by minimum education level. ## `experience` (type: `array`): Filter by years of experience required. ## `workLanguages` (type: `array`): Filter by required work language. ## `needDriversLicense` (type: `string`): true = must have licence, false = not required. ## `publishedWithin` (type: `string`): Only return listings published within this time window. ## `hasSuperraskSoknad` (type: `boolean`): Only return listings with NAV's quick-apply feature. ## `isSummerJob` (type: `boolean`): Only return listings flagged as summer jobs. ## `isUnder18` (type: `boolean`): Only return listings suitable for workers under 18. ## `sortBy` (type: `string`): How to sort results. ## `maxResults` (type: `integer`): Maximum number of job listings to return. Set to 0 for unlimited. ## `fetchDetails` (type: `boolean`): Fetch the detail page for each listing to get additional fields: full job description HTML, engagement type, work days/hours, job arrangement, position count, start date, employer sector/org number/homepage, and AI-extracted competences. Counts as a separate charge per listing. ## `proxyConfiguration` (type: `object`): Optional proxy. NAV Arbeidsplassen is open and does not require a proxy. ## Actor input object example ```json { "keyword": "sykepleier", "municipalities": [ "OSLO.OSLO", "TRØNDELAG.TRONDHEIM" ], "sector": "", "remote": "", "needDriversLicense": "", "publishedWithin": "", "hasSuperraskSoknad": false, "isSummerJob": false, "isUnder18": false, "sortBy": "published", "maxResults": 5, "fetchDetails": false } ``` # Actor output Schema ## `results` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/nav-no-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 = {} # Run the Actor and wait for it to finish run = client.actor("unfenced-group/nav-no-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 '{}' | apify call unfenced-group/nav-no-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/nav-no-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NAV.no Jobs Scraper — arbeidsplassen.no (Norway)", "description": "Scrape Norwegian job listings from NAV Arbeidsplassen. Search by keyword, filter by county, occupation, engagement type, sector and remote policy. Returns 35+ fields.", "version": "0.0", "x-build-id": "FR60xvaHBa4jiTmjk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~nav-no-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-nav-no-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~nav-no-jobs-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-nav-no-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~nav-no-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-nav-no-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keyword": { "title": "Search keyword", "type": "string", "description": "Free-text search query. Searches title, description, and tags. Example: 'sykepleier', 'ingeniør Oslo', 'IT consultant'" }, "counties": { "title": "Counties (fylker)", "type": "array", "description": "Filter by Norwegian county. Leave empty for all counties.", "items": { "type": "string", "enum": [ "AGDER", "AKERSHUS", "BUSKERUD", "FINNMARK", "INNLANDET", "MØRE OG ROMSDAL", "NORDLAND", "OSLO", "ROGALAND", "SVALBARD", "TELEMARK", "TROMS", "TRØNDELAG", "VESTFOLD", "VESTLAND", "ØSTFOLD" ] } }, "municipalities": { "title": "Municipalities (kommuner)", "type": "array", "description": "Filter by specific municipality. Format: COUNTY.MUNICIPALITY (e.g. OSLO.OSLO, TRØNDELAG.TRONDHEIM, ROGALAND.STAVANGER). Can be combined with counties.", "items": { "type": "string" } }, "occupationFirstLevels": { "title": "Occupation categories", "type": "array", "description": "Filter by broad occupational category.", "items": { "type": "string", "enum": [ "Bygg og anlegg", "Helse og sosial", "Håndverkere", "Industri og produksjon", "IT", "Kontor og økonomi", "Kultur og kreative yrker", "Natur og miljø", "Reiseliv og mat", "Salg og service", "Sikkerhet og beredskap", "Transport og lager", "Utdanning", "Uoppgitt/ ikke identifiserbare" ] } }, "engagementTypes": { "title": "Engagement types (ansettelsesform)", "type": "array", "description": "Filter by employment type.", "items": { "type": "string", "enum": [ "Fast", "Vikariat", "Engasjement", "Sesong", "Prosjekt", "Åremål", "Lærling", "Feriejobb", "Selvstendig næringsdrivende", "Annet" ] } }, "sector": { "title": "Sector", "enum": [ "", "Privat", "Offentlig" ], "type": "string", "description": "Filter by public or private sector.", "default": "" }, "extents": { "title": "Full-time / Part-time (omfang)", "type": "array", "description": "Filter by extent of employment.", "items": { "type": "string", "enum": [ "Heltid", "Deltid" ] } }, "remote": { "title": "Remote work option", "enum": [ "", "Kun hjemmekontor", "Delvis hjemmekontor", "Ingen mulighet for hjemmekontor" ], "type": "string", "description": "Filter by remote/home-office policy.", "default": "" }, "education": { "title": "Education requirement", "type": "array", "description": "Filter by minimum education level.", "items": { "type": "string", "enum": [ "Ingen krav", "Videregående", "Fagbrev", "Fagskole", "Bachelor", "Master", "Forskningsgrad" ] } }, "experience": { "title": "Work experience requirement", "type": "array", "description": "Filter by years of experience required.", "items": { "type": "string", "enum": [ "Ingen", "Noe", "Mye" ] } }, "workLanguages": { "title": "Work languages", "type": "array", "description": "Filter by required work language.", "items": { "type": "string", "enum": [ "Norsk", "Engelsk", "Skandinavisk", "Samisk" ] } }, "needDriversLicense": { "title": "Driver's licence required", "enum": [ "", "true", "false" ], "type": "string", "description": "true = must have licence, false = not required.", "default": "" }, "publishedWithin": { "title": "Published within", "enum": [ "", "now/d", "now-3d", "now-7d" ], "type": "string", "description": "Only return listings published within this time window.", "default": "" }, "hasSuperraskSoknad": { "title": "Quick apply only (Superrask søknad)", "type": "boolean", "description": "Only return listings with NAV's quick-apply feature.", "default": false }, "isSummerJob": { "title": "Summer jobs only", "type": "boolean", "description": "Only return listings flagged as summer jobs.", "default": false }, "isUnder18": { "title": "Suitable for under 18", "type": "boolean", "description": "Only return listings suitable for workers under 18.", "default": false }, "sortBy": { "title": "Sort order", "enum": [ "relevant", "published", "expires" ], "type": "string", "description": "How to sort results.", "default": "published" }, "maxResults": { "title": "Maximum results", "minimum": 0, "type": "integer", "description": "Maximum number of job listings to return. Set to 0 for unlimited.", "default": 5 }, "fetchDetails": { "title": "Fetch full listing details", "type": "boolean", "description": "Fetch the detail page for each listing to get additional fields: full job description HTML, engagement type, work days/hours, job arrangement, position count, start date, employer sector/org number/homepage, and AI-extracted competences. Counts as a separate charge per listing.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy. NAV Arbeidsplassen is open and does not require a proxy." } } }, "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 } } } } } } } } } } ```