# Job Salary Transparency Scraper (`coregent/job-salary-transparency-scraper`) Actor Scrape public job listings and keep only jobs with visible salary. Returns flat, normalized salary rows - title, company, location, salary range, currency, pay period, remote status, and transparency tags. No login, no cookies, no residential proxy. - **URL**: https://apify.com/coregent/job-salary-transparency-scraper.md - **Developed by:** [Delowar Munna](https://apify.com/coregent) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.80 / 1,000 salary-job-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 ## Job Salary Transparency Scraper ![Job Salary Transparency Scraper](https://raw.githubusercontent.com/coregentdevspace/job-salary-transparency-scraper-assets/main/thumbnail-job-salary-transparency-scraper.png) Scrape **public job listings** and keep only the jobs that show **real salary / pay data**, normalized into clean, flat, CSV-ready rows. Every row carries first-class compensation fields: **min/max salary, currency, pay period, range vs. exact, salary source, and a salary-transparency score**. Built for **compensation analysts, recruiters, HR-tech teams, labour-market researchers, and sales teams**. **No login, no cookies, no session tokens, no residential proxy.** The actor uses free public sources over HTTP, so it stays fast and cost-predictable. You pay one flat event per unique **salary-visible** job row that passes your filters. ### ✨ Why this scraper - **Salary-first** — unlike generic job scrapers, this one filters and normalizes compensation as the headline output. No salary, no charge. - **Public sources only** — public ATS JSON APIs (Greenhouse, Lever, Ashby, SmartRecruiters), the Remotive search API, and any career page that exposes JSON-LD `JobPosting` data. - **No AI, no paid salary vendors** — salary is parsed from structured fields, page JSON-LD, and visible text. Vague text like "competitive salary" is never turned into a fake number. - **29 flat fields** — drops straight into Sheets/Excel/CRMs. - **Pay-Per-Event** — one flat `salary-job-result` event per saved unique salary-visible job. Duplicates and filtered rows are never charged. ### 📥 Input Provide at least one of **Start URLs** (URL mode) or **Search keywords** (query mode). | Field | Type | Default | Description | | -------------------- | ------- | ---------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------- | | `startUrls` | array | `[]` | Public board/career/job URLs. Greenhouse/Lever/Ashby/SmartRecruiters boards are detected automatically; any other page is read via JSON-LD. | | `queries` | array | `[]` | Keyword search terms (searched via Remotive — the only free cross-company keyword source). | | `location` | string | `""` | Optional location filter. | | `country` | string | `"US"` | Salary currency default + location parsing. One of `US, CA, UK, AU, DE, FR, IN, GLOBAL`. | | `sources` | array | `["public_ats","remotive","google_jobs_compatible"]` | Sources for query mode. `custom_urls_only` uses Start URLs exclusively. | | `maxResults` | integer | `100` | Max saved unique salary-visible rows (1–50000). | | `salaryRequired` | boolean | `true` | Save only rows with visible salary. | | `minSalary` | integer | `null` | Minimum salary (compared within matching period only). | | `salaryPeriod` | string | `"any"` | `any, hour, day, week, month, year`. | | `currency` | string | `"any"` | `any, USD, CAD, GBP, AUD, EUR, INR`. | | `remoteOnly` | boolean | `false` | Keep only remote/hybrid jobs. | | `includeDescription` | boolean | `false` | Store full job description (off = snippet only). | | `deduplicate` | boolean | `true` | Drop duplicate rows by job ID / canonical URL. | | `proxyConfiguration` | object | `{ "useApifyProxy": true }` | Apify Datacenter / no proxy / custom URLs. Residential is rejected. | #### Sample input — URL mode (public ATS boards) ```json { "startUrls": [ "https://boards.greenhouse.io/figma", "https://jobs.lever.co/voiceflow", "https://jobs.ashbyhq.com/Notion" ], "salaryRequired": true, "currency": "USD", "maxResults": 100, "proxyConfiguration": { "useApifyProxy": true } } ```` #### Sample input — query mode (Remotive keyword search) ```json { "queries": ["software engineer", "data analyst"], "sources": ["remotive"], "country": "US", "salaryRequired": true, "salaryPeriod": "year", "minSalary": 90000, "remoteOnly": true, "maxResults": 100, "proxyConfiguration": { "useApifyProxy": true } } ``` ### 📤 Output The dataset opens on the **Salary-visible jobs** table view — one flat row per salary-visible job (29 fields): ![Salary-visible jobs — table view](https://raw.githubusercontent.com/coregentdevspace/job-salary-transparency-scraper-assets/main/job-salary-transparency-scraper-output-salary-visible-jobs-table-view.png) #### Sample record — Salary-visible jobs ```json { "job_id": "rm_1919266", "job_url": "https://remotive.com/remote-jobs/software-development/senior-independent-ai-engineer-architect-1919266", "source": "remotive", "source_company_board_url": "https://remotive.com", "job_title": "Senior Independent AI Engineer / Architect", "company_name": "A.Team", "location": "Americas, Europe, Israel", "country": "US", "remote_type": "remote", "employment_type": "contract", "posted_at": "2026-05-16", "scraped_at": "2026-06-07T04:46:16.652Z", "salary_visible": true, "salary_text": "$120 - $170 /hour", "salary_min": 120, "salary_max": 170, "salary_currency": "USD", "salary_period": "hour", "salary_is_range": true, "salary_confidence": "medium", "salary_source": "description_text", "salary_context": "$120 - $170 /hour Senior Independent AI Engineer / Architect Remote | Americas, Europe, or Israel. A·Team is an invite-only network of senior AI engineers, ML engineers, and AI architects building production AI systems…", "transparency_reason_tags": "explicit_salary_range;hourly_pay_detected;currency_inferred_from_country;salary_from_description_text;remote_salary", "description_snippet": "Senior Independent AI Engineer / Architect Remote | Americas, Europe, or Israel. Most AI engineers can find work. Finding work worth doing is harder. A.Team is an invite-only network of senior AI engineers, ML engineers, and AI architects building production AI systems for startups, enterprises, and global companies…", "job_description": null, "input_url": "https://remotive.com", "input_query": "data analyst", "salary_transparency_score": 90, "salary_transparency_label": "strong" } ``` The run also writes a `RUN_SUMMARY` record to the default key-value store with counts for inputs, raw results, salary-visible found, results saved, duplicates removed, filtered out, charged events, blocked requests, retries, sources used, and runtime. ### 💲 Pricing — Pay Per Event One event: **`salary-job-result`**, charged once per unique salary-visible row that passed all filters and was successfully pushed to the dataset. Duplicates, filtered-out rows, and failed requests are never charged. #### 🚦 Proxy policy Use **Apify Datacenter** proxy or **no proxy** for normal runs — both work reliably for public ATS / career-page JSON at this actor's conservative concurrency. **Apify Residential proxy is not supported.** The actor fails at startup if `apifyProxyGroups` includes `RESIDENTIAL`. Reason: in pay-per-event actors, residential bandwidth (~/GB) is billed to the developer, not the run user, so a single bandwidth-heavy run could exceed the per-result event revenue. If you genuinely need residential routing, supply your own residential provider via the proxy editor's **Custom proxy URLs** field — that traffic goes through your provider, not Apify, and is unaffected: ``` http://user:pass@proxy.iproyal.com:12321 http://user:pass@proxy.brightdata.com:22225 http://user:pass@proxy.oxylabs.io:7777 ``` ### ℹ️ Notes & limits - **Indeed and Seek are not supported in V1** — they are anti-bot heavy and unreliable over plain HTTP without a browser or residential proxy. They are planned as future sources. - **Public ATS boards have no cross-company keyword search**, so keyword `queries` run through Remotive. To scrape an ATS board, paste its URL in `startUrls`. - Salary is parsed from structured fields and JSON-LD first (high confidence), then from visible description text (medium/low). The original salary string is preserved verbatim in `salary_text`. - No login, cookies, session tokens, or private API keys are used anywhere. # Actor input Schema ## `startUrls` (type: `array`): Paste public job search, job listing, ATS board, or career page URLs. Supported ATS boards: Greenhouse, Lever, Ashby, SmartRecruiters. Any other career/job page is read via JSON-LD JobPosting data. Provide at least one of Start URLs or Search keywords. ## `queries` (type: `array`): Keyword search terms, for example "software engineer", "data analyst". Searched against Remotive (the only free cross-company keyword source). Public ATS boards have no keyword search - use Start URLs for those. ## `location` (type: `string`): Optional search/filter location, for example "New York", "Remote", "United States". ## `country` (type: `string`): Selects country-specific salary currency defaults and location parsing. ## `sources` (type: `array`): Which public sources to use in query (keyword) mode. Public ATS = Greenhouse/Lever/Ashby/SmartRecruiters (URL mode only). Remotive = keyword search. Google-jobs-compatible = generic JSON-LD career pages. Custom URLs only = use Start URLs exclusively. (Indeed and Seek are not supported in V1.) ## `maxResults` (type: `integer`): Maximum number of saved unique salary-visible jobs across the whole run (not per source). Range 1-50000. ## `salaryRequired` (type: `boolean`): Save only listings with visible salary. Turn off to also save rows where salary is not visible (salary\_visible=false) for audit use. ## `minSalary` (type: `integer`): Minimum salary threshold applied after normalization. Compared only within a matching pay period (no cross-period conversion in V1). Set to 0 for no minimum. ## `salaryPeriod` (type: `string`): Filter by pay period. Missing/unknown periods are dropped unless set to Any. ## `currency` (type: `string`): Filter salary currency. Missing currencies are dropped unless set to Any. ## `remoteOnly` (type: `boolean`): Keep only jobs detected as remote or hybrid. Unknown workplace types are dropped. ## `includeDescription` (type: `boolean`): Store the full cleaned job description (job\_description). When off, only a 500-character description snippet plus salary context is stored, reducing payload size. ## `deduplicate` (type: `boolean`): Remove duplicate job rows by job ID and canonical URL so you are not charged for duplicates across overlapping sources. ## `proxyConfiguration` (type: `object`): Apify Proxy configuration. Defaults to Apify Proxy enabled. Apify Residential is NOT supported and will fail the run at startup; if you need residential routing, supply your own provider via Custom proxy URLs (proxyUrls). ## Actor input object example ```json { "startUrls": [ "https://boards.greenhouse.io/figma", "https://jobs.lever.co/voiceflow" ], "queries": [ "software engineer", "data analyst" ], "location": "Remote", "country": "US", "sources": [ "public_ats", "remotive", "google_jobs_compatible" ], "maxResults": 100, "salaryRequired": true, "minSalary": 0, "salaryPeriod": "any", "currency": "any", "remoteOnly": false, "includeDescription": false, "deduplicate": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `overview` (type: `string`): Flat 29-field table view of every salary-visible job row pushed to the dataset, including job identity, company, location, normalized salary fields (min/max/currency/period), salary source + confidence, and the transparency score/label/reason tags. # 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 = { "startUrls": [ "https://boards.greenhouse.io/figma", "https://jobs.lever.co/voiceflow" ], "queries": [ "software engineer", "data analyst" ], "location": "Remote", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("coregent/job-salary-transparency-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 = { "startUrls": [ "https://boards.greenhouse.io/figma", "https://jobs.lever.co/voiceflow", ], "queries": [ "software engineer", "data analyst", ], "location": "Remote", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("coregent/job-salary-transparency-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 '{ "startUrls": [ "https://boards.greenhouse.io/figma", "https://jobs.lever.co/voiceflow" ], "queries": [ "software engineer", "data analyst" ], "location": "Remote", "proxyConfiguration": { "useApifyProxy": true } }' | apify call coregent/job-salary-transparency-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=coregent/job-salary-transparency-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Job Salary Transparency Scraper", "description": "Scrape public job listings and keep only jobs with visible salary. Returns flat, normalized salary rows - title, company, location, salary range, currency, pay period, remote status, and transparency tags. No login, no cookies, no residential proxy.", "version": "1.0", "x-build-id": "ufDzHcTg7rftqtQxZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/coregent~job-salary-transparency-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-coregent-job-salary-transparency-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/coregent~job-salary-transparency-scraper/runs": { "post": { "operationId": "runs-sync-coregent-job-salary-transparency-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/coregent~job-salary-transparency-scraper/run-sync": { "post": { "operationId": "run-sync-coregent-job-salary-transparency-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs (job / board / career pages)", "type": "array", "description": "Paste public job search, job listing, ATS board, or career page URLs. Supported ATS boards: Greenhouse, Lever, Ashby, SmartRecruiters. Any other career/job page is read via JSON-LD JobPosting data. Provide at least one of Start URLs or Search keywords.", "default": [], "items": { "type": "string" } }, "queries": { "title": "Search keywords", "type": "array", "description": "Keyword search terms, for example \"software engineer\", \"data analyst\". Searched against Remotive (the only free cross-company keyword source). Public ATS boards have no keyword search - use Start URLs for those.", "default": [], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Optional search/filter location, for example \"New York\", \"Remote\", \"United States\".", "default": "" }, "country": { "title": "Country", "enum": [ "US", "CA", "UK", "AU", "DE", "FR", "IN", "GLOBAL" ], "type": "string", "description": "Selects country-specific salary currency defaults and location parsing.", "default": "US" }, "sources": { "title": "Sources", "type": "array", "description": "Which public sources to use in query (keyword) mode. Public ATS = Greenhouse/Lever/Ashby/SmartRecruiters (URL mode only). Remotive = keyword search. Google-jobs-compatible = generic JSON-LD career pages. Custom URLs only = use Start URLs exclusively. (Indeed and Seek are not supported in V1.)", "items": { "type": "string", "enum": [ "public_ats", "remotive", "google_jobs_compatible", "custom_urls_only" ], "enumTitles": [ "Public ATS (Greenhouse/Lever/Ashby/SmartRecruiters)", "Remotive", "Google-jobs-compatible (JSON-LD)", "Custom URLs only" ] }, "default": [ "public_ats", "remotive", "google_jobs_compatible" ] }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of saved unique salary-visible jobs across the whole run (not per source). Range 1-50000.", "default": 100 }, "salaryRequired": { "title": "Salary required", "type": "boolean", "description": "Save only listings with visible salary. Turn off to also save rows where salary is not visible (salary_visible=false) for audit use.", "default": true }, "minSalary": { "title": "Minimum salary", "minimum": 0, "type": "integer", "description": "Minimum salary threshold applied after normalization. Compared only within a matching pay period (no cross-period conversion in V1). Set to 0 for no minimum.", "default": 0 }, "salaryPeriod": { "title": "Pay period", "enum": [ "any", "hour", "day", "week", "month", "year" ], "type": "string", "description": "Filter by pay period. Missing/unknown periods are dropped unless set to Any.", "default": "any" }, "currency": { "title": "Currency", "enum": [ "any", "USD", "CAD", "GBP", "AUD", "EUR", "INR" ], "type": "string", "description": "Filter salary currency. Missing currencies are dropped unless set to Any.", "default": "any" }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "Keep only jobs detected as remote or hybrid. Unknown workplace types are dropped.", "default": false }, "includeDescription": { "title": "Include full job description", "type": "boolean", "description": "Store the full cleaned job description (job_description). When off, only a 500-character description snippet plus salary context is stored, reducing payload size.", "default": false }, "deduplicate": { "title": "Deduplicate", "type": "boolean", "description": "Remove duplicate job rows by job ID and canonical URL so you are not charged for duplicates across overlapping sources.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy configuration. Defaults to Apify Proxy enabled. Apify Residential is NOT supported and will fail the run at startup; if you need residential routing, supply your own provider via Custom proxy URLs (proxyUrls).", "default": { "useApifyProxy": 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 } } } } } } } } } } ```