# Naukri Scraper - Jobs, Salaries, Skills & Recruiter Leads (`scrapesage/naukri-scraper`) Actor Scrape Naukri.com, India's #1 job board, into structured data: salary, key skills, experience, full job description, AmbitionBox company ratings, apply links & recruiter contacts per job. Search by keyword, city & filters or paste a Naukri URL. Monitor mode for new-job alerts. - **URL**: https://apify.com/scrapesage/naukri-scraper.md - **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 job scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Naukri Scraper - Jobs, Salaries, Skills & Recruiter Leads Scrape **[Naukri.com](https://www.naukri.com)** — India's #1 job board (500,000+ live listings) — into clean, structured data. Search by keyword, city and filters (or paste a Naukri search URL) and get every job with **salary range, key skills, experience, location, AmbitionBox company rating, apply link, the full job description, and the recruiter/HR contact** where Naukri exposes it. Built for recruiters, staffing agencies, job-market analysts, salary benchmarking, and sales-to-HR lead generation. No login, no API key. Pay only per job returned. ### Why this scraper - **Richest record on the store.** Every field Naukri exposes, merged into one flat row: title, company, `companyId`, location, experience range, salary range (parsed to ₹ lakhs), key skills, posted date, work mode, vacancy, company logo, AmbitionBox rating + review count, apply URL — plus (with details on) the full JD, education, role, industry, employment type, posting stats and recruiter contact. - **Reliable by design.** Naukri gates its job API behind an in-browser token that plain HTTP scrapers can't mint (they get `406 recaptcha required`). This actor runs a real anti-detect browser that mints the token the way a human session does, then harvests the API JSON directly. If a run can't mint a token, it **falls back to Naukri's public job sitemaps** so it still returns data instead of failing. - **Hiring-company leads.** Each job is also a B2B lead: the hiring company, its rating, and the recruiter's name/email/phone when shown, with a 0–100 `leadScore`. Use the **Hiring leads** dataset view for sales-to-HR and recruitment-agency prospecting. - **Monitor mode.** Remember what you've seen and emit only **new or changed** jobs — pair with Apify Schedules for a fresh-jobs / hiring-alert feed. - **Never a start fee.** Pay per job, not per run. ### Input | Field | Type | Description | |---|---|---| | `keyword` | string | Role / skill / company, e.g. `python developer`, `data scientist`. | | `location` | string | City as on Naukri: `Bangalore`, `Mumbai`, `Delhi / NCR`, `Pune`, `Hyderabad`, `Remote`. Blank = all-India. | | `searchUrls` | array | Power mode — paste Naukri search URLs with every filter already applied. Overrides keyword/location. | | `maxJobs` | integer | Max jobs to return (default 100). `0` = unlimited (self-limits to the run's time budget). | | `fetchDetails` | boolean | Open each job's detail page for the full JD, recruiter and posting stats (slower, +detail event). | | `jobAge` | integer | Only jobs posted within N days (1/3/7/15/30). | | `experienceYears` | integer | Match jobs for this many years of experience. | | `minSalaryLakhs` | integer | Keep jobs whose max CTC is at least N ₹ lakhs/yr. | | `workMode` | array | `work-from-office`, `hybrid`, `remote`. | | `sortBy` | string | `relevance`, `date` (freshest), `salary` (highest). | | `withContactOnly` | boolean | Lead-gen: keep only jobs exposing a recruiter contact (use with `fetchDetails`). | | `monitorMode` / `monitorKey` | boolean / string | Emit only new/changed jobs vs. previous runs. | | `proxyConfiguration` | object | Defaults to Apify Residential, country **IN** (recommended). BYO proxies supported. | #### Example input ```json { "keyword": "data scientist", "location": "Bangalore", "maxJobs": 100, "jobAge": 7, "fetchDetails": false, "sortBy": "date" } ```` ### Output Each record (empty fields omitted): ```json { "jobId": "130526502160", "title": "Senior Data Scientist", "companyName": "Acme Analytics", "companyId": "1234567", "location": "Bangalore", "experience": "5-8 Yrs", "experienceMin": 5, "experienceMax": 8, "salary": "20-30 Lacs PA", "salaryMinLakh": 20, "salaryMaxLakh": 30, "keySkills": ["python", "machine learning", "sql", "nlp"], "postedLabel": "3 Days Ago", "createdDate": "2026-07-06T09:12:00.000Z", "companyRating": 4.1, "companyReviewsCount": 1240, "recruiterName": "Priya Sharma", "recruiterEmail": "priya@acme.example", "leadScore": 78, "jobUrl": "https://www.naukri.com/job-listings-senior-data-scientist-acme-analytics-bangalore-5-to-10-years-130526502160", "source": "search", "scrapedAt": "2026-07-09T18:40:00.000Z" } ``` Two dataset **views**: **Jobs** (title/company/location/experience/salary/skills/posted/rating/URL) and **Hiring leads** (company + recruiter contact + lead score). ### Use with AI assistants (MCP) This actor is exposed over the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp), so AI assistants (Claude, ChatGPT and other MCP clients) can discover it, run it, and read the results as a tool — pass a keyword and location and get structured Naukri jobs back. ### Agent-ready: autonomous payments (x402 & Skyfire) This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards: - **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key. - **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows. Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes. ### Integrations Export to JSON, CSV, Excel or the Apify dataset API, or wire results into **Make, Zapier, Slack, Google Drive, Airbyte, GitHub, Webhooks, Schedules** and the **Apify API / MCP**. Combine with Apify **Schedules** + Monitor mode for a recurring fresh-jobs or hiring-signal feed. ### Legal & compliance Scrapes only publicly available job listings. Respect Naukri's Terms of Service and applicable laws; use recruiter contact data in line with GDPR / India DPDP and anti-spam regulations. This tool is for lawful recruitment, market-research and lead-generation use. ### FAQ **Do I need a Naukri login?** No — no login or API key. **Why residential India proxies?** Naukri serves from India and scores non-India traffic harder; the default (Apify Residential, country IN) mints its in-browser token most reliably. You can bring your own proxies. **A run returned sitemap-level rows with fewer fields — why?** That run couldn't mint the browser token, so the actor fell back to Naukri's public sitemaps to still return data. Re-run for full search-API detail. **Can I get the full job description and recruiter?** Turn on **Fetch full details**. Recruiter contact is included when Naukri exposes it on the posting. # Actor input Schema ## `keyword` (type: `string`): Job title, skill or company to search on Naukri (e.g. 'python developer', 'data scientist', 'sales manager'). Leave blank to browse a whole city/location, or use Search URLs below for full filter control. ## `location` (type: `string`): City / region to filter by, as it appears on Naukri (e.g. 'Bangalore', 'Mumbai', 'Delhi / NCR', 'Pune', 'Hyderabad', 'Remote'). Leave blank for all-India. ## `searchUrls` (type: `array`): Paste one or more Naukri search-result URLs with every filter you want already applied in the Naukri UI (copy the address bar). Overrides Keyword/Location. Example: https://www.naukri.com/python-developer-jobs-in-bangalore ## `maxJobs` (type: `integer`): Maximum number of jobs to return across all searches. Set 0 for unlimited (returns everything Naukri lists for the query — can be large; the run self-limits to stay inside its time budget). ## `fetchDetails` (type: `boolean`): Open each job's detail page for the complete job description, education, employment type, role, full recruiter/HR name, and posting stats. Slower and costs a detail event per job. Off = the (already rich) search-level record: title, company, salary, skills, experience, location, AmbitionBox rating, apply link. ## `jobAge` (type: `integer`): Only jobs posted within this many days (Naukri freshness filter). 0 / blank = any time. Common values: 1, 3, 7, 15, 30. ## `experienceYears` (type: `integer`): Filter to jobs matching this many years of experience (Naukri 'experience' filter). Blank = any. ## `minSalaryLakhs` (type: `integer`): Keep only jobs whose maximum annual CTC is at least this many lakhs (₹). Applied to the parsed salary range. Blank = any. ## `workMode` (type: `array`): Filter by work arrangement. ## `sortBy` (type: `string`): Result ordering. ## `withContactOnly` (type: `boolean`): Lead-gen mode: keep only jobs that expose a recruiter/HR name, email or phone. Requires Fetch full details. ## `monitorMode` (type: `boolean`): Remember jobs seen on previous runs (in a named key-value store) and emit only NEW or CHANGED postings. Pair with Apify Schedules for a hiring-alert / fresh-jobs feed. ## `monitorKey` (type: `string`): Names the memory bucket for Monitor mode. Use a distinct key per saved search so their histories don't mix. ## `proxyConfiguration` (type: `object`): Naukri serves from India and gates its job API behind an in-browser token — residential India IPs are strongly recommended. Defaults to Apify Residential, country IN. You can supply your own (BYO) proxy URLs. ## `headful` (type: `boolean`): Run the anti-detect browser headful (recommended — mints Naukri's job-API token more reliably). Turn off only to debug. ## `debugMode` (type: `boolean`): Save raw API responses and page HTML to the key-value store for troubleshooting field coverage. ## Actor input object example ```json { "keyword": "python developer", "location": "Bangalore", "searchUrls": [ "https://www.naukri.com/data-scientist-jobs" ], "maxJobs": 100, "fetchDetails": false, "jobAge": 0, "workMode": [], "sortBy": "relevance", "withContactOnly": false, "monitorMode": false, "monitorKey": "default", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" }, "headful": true, "debugMode": false } ``` # Actor output Schema ## `results` (type: `string`): All scraped Naukri job records as JSON items in the default dataset. # 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 = { "keyword": "data scientist", "location": "", "searchUrls": [], "maxJobs": 100, "jobAge": 0, "workMode": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesage/naukri-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 = { "keyword": "data scientist", "location": "", "searchUrls": [], "maxJobs": 100, "jobAge": 0, "workMode": [], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("scrapesage/naukri-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 '{ "keyword": "data scientist", "location": "", "searchUrls": [], "maxJobs": 100, "jobAge": 0, "workMode": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call scrapesage/naukri-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesage/naukri-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Naukri Scraper - Jobs, Salaries, Skills & Recruiter Leads", "description": "Scrape Naukri.com, India's #1 job board, into structured data: salary, key skills, experience, full job description, AmbitionBox company ratings, apply links & recruiter contacts per job. Search by keyword, city & filters or paste a Naukri URL. Monitor mode for new-job alerts.", "version": "0.1", "x-build-id": "R9PFCXdkZcOQmkyv8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesage~naukri-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesage-naukri-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesage~naukri-scraper/runs": { "post": { "operationId": "runs-sync-scrapesage-naukri-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesage~naukri-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesage-naukri-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Keyword / role / skill", "type": "string", "description": "Job title, skill or company to search on Naukri (e.g. 'python developer', 'data scientist', 'sales manager'). Leave blank to browse a whole city/location, or use Search URLs below for full filter control." }, "location": { "title": "Location (city)", "type": "string", "description": "City / region to filter by, as it appears on Naukri (e.g. 'Bangalore', 'Mumbai', 'Delhi / NCR', 'Pune', 'Hyderabad', 'Remote'). Leave blank for all-India." }, "searchUrls": { "title": "Search URLs (power mode)", "type": "array", "description": "Paste one or more Naukri search-result URLs with every filter you want already applied in the Naukri UI (copy the address bar). Overrides Keyword/Location. Example: https://www.naukri.com/python-developer-jobs-in-bangalore", "items": { "type": "string" } }, "maxJobs": { "title": "Max jobs", "minimum": 0, "type": "integer", "description": "Maximum number of jobs to return across all searches. Set 0 for unlimited (returns everything Naukri lists for the query — can be large; the run self-limits to stay inside its time budget).", "default": 100 }, "fetchDetails": { "title": "Fetch full details (JD + recruiter)", "type": "boolean", "description": "Open each job's detail page for the complete job description, education, employment type, role, full recruiter/HR name, and posting stats. Slower and costs a detail event per job. Off = the (already rich) search-level record: title, company, salary, skills, experience, location, AmbitionBox rating, apply link.", "default": false }, "jobAge": { "title": "Posted within (days)", "type": "integer", "description": "Only jobs posted within this many days (Naukri freshness filter). 0 / blank = any time. Common values: 1, 3, 7, 15, 30.", "default": 0 }, "experienceYears": { "title": "Experience (years)", "minimum": 0, "maximum": 30, "type": "integer", "description": "Filter to jobs matching this many years of experience (Naukri 'experience' filter). Blank = any." }, "minSalaryLakhs": { "title": "Min salary (₹ lakhs / year)", "minimum": 0, "type": "integer", "description": "Keep only jobs whose maximum annual CTC is at least this many lakhs (₹). Applied to the parsed salary range. Blank = any." }, "workMode": { "title": "Work mode", "type": "array", "description": "Filter by work arrangement.", "items": { "type": "string", "enum": [ "work-from-office", "hybrid", "remote" ], "enumTitles": [ "Work from office", "Hybrid", "Remote / WFH" ] } }, "sortBy": { "title": "Sort by", "enum": [ "relevance", "date", "salary" ], "type": "string", "description": "Result ordering.", "default": "relevance" }, "withContactOnly": { "title": "Only jobs with a recruiter contact", "type": "boolean", "description": "Lead-gen mode: keep only jobs that expose a recruiter/HR name, email or phone. Requires Fetch full details.", "default": false }, "monitorMode": { "title": "Monitor mode (only new/changed jobs)", "type": "boolean", "description": "Remember jobs seen on previous runs (in a named key-value store) and emit only NEW or CHANGED postings. Pair with Apify Schedules for a hiring-alert / fresh-jobs feed.", "default": false }, "monitorKey": { "title": "Monitor key", "type": "string", "description": "Names the memory bucket for Monitor mode. Use a distinct key per saved search so their histories don't mix.", "default": "default" }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Naukri serves from India and gates its job API behind an in-browser token — residential India IPs are strongly recommended. Defaults to Apify Residential, country IN. You can supply your own (BYO) proxy URLs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }, "headful": { "title": "Headful browser", "type": "boolean", "description": "Run the anti-detect browser headful (recommended — mints Naukri's job-API token more reliably). Turn off only to debug.", "default": true }, "debugMode": { "title": "Debug mode", "type": "boolean", "description": "Save raw API responses and page HTML to the key-value store for troubleshooting field coverage.", "default": false } } }, "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 } } } } } } } } } } ```