# ✅ Naukri + Gulf Jobs Scraper — No Login, AmbitionBox, API (`k1ra/naukri-jobs-scraper`) Actor Naukri + Naukrigulf jobs scraper — no GIDs, no login, no cookies. Full descriptions, salaries, skills, experience & AmbitionBox ratings. Naukri salary scraper, Naukri scraper API for n8n & Make, India jobs scraper, company scraper, CSV export. Pay per job, $0 on empty. - **URL**: https://apify.com/k1ra/naukri-jobs-scraper.md - **Developed by:** [Kevin Savani](https://apify.com/k1ra) (community) - **Categories:** Developer tools, Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 60.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.00 / 1,000 results 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.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 ## ✅ Naukri + Gulf Jobs Scraper — No Login · No GIDs · AmbitionBox Scrape **Naukri.com** and **Naukrigulf** jobs in bulk — just type a **keyword** and a plain **city name**. No GID hunting, no login, no cookies. The scraper returns clean, structured rows with full **descriptions, salaries, skills, experience, and AmbitionBox company ratings**, deduplicated and ready for CSV/JSON export. Use it as a **Naukri scraper API**, a **Naukri salary scraper**, a **gulf jobs scraper**, or a scheduled job feed for **n8n, Make, and the Apify API**. **Pay per job — and pay nothing when a search returns no results.** --- ### Why Choose This Naukri Jobs Scraper - 🔑 **No GIDs, ever** — search by plain city, role, and experience as a **number**. No numeric ID hunting (the #1 complaint about other Naukri scrapers). - 🔓 **No login, no cookies, no ban risk** — your Naukri account is never involved. - 🇮🇳🌍 **India + Gulf in one** — Naukri (India) and **Naukrigulf** (UAE/Gulf) from a single actor. - 🎯 **Exact result counts** — `maxResults` is honored **exactly**. No over-fetch, no surprise overcharge. - 📝 **Full details included free** — description, salary, skills, experience, and posting date on every job. - ⭐ **AmbitionBox on demand** — opt-in company rating and review count for salary/employer research. - 🧹 **Clean rows** — flat, typed fields with stable job IDs and automatic dedupe. No output bloat. - 💸 **Fair pricing** — pay per job delivered, **free on empty**, **no per-run floor**. - 🔌 **Automation-ready** — n8n, Make, scheduling, CSV/Sheets export, and a simple API. --- ### How It Compares | Feature | **This Scraper** | Typical Naukri scrapers | |---|:---:|:---:| | Plain keyword / city input (no GIDs) | ✅ | ❌ require numeric city/department IDs | | India **+ Naukrigulf** (Gulf) | ✅ | ⚠️ usually India-only | | Exact `maxResults` honored | ✅ | ❌ "set 20, got 100" over-fetch | | Full descriptions & skills | ✅ included | ⚠️ partial / extra step | | AmbitionBox ratings | ✅ opt-in | ⚠️ raw bloat or absent | | Clean flat rows | ✅ | ⚠️ "hours to post-process" | | Pricing | ✅ pay per job, **free on empty, no floor** | ❌ **$0.50 per-run minimum** | | n8n / Make / API ready | ✅ | ⚠️ varies | --- ### Use Cases #### Naukri Jobs Scraper (No GIDs, No Login) Enter a job title and a plain city name and get a structured list of Naukri job postings — job ID, title, company, location, posting date, salary, and skills — with **no GID setup and no login**. The fix for "tried all the GIDs and it ignored my input." #### Gulf Jobs Scraper (Naukrigulf) Run it as a **gulf jobs scraper** for the UAE and wider Gulf via **Naukrigulf** — the same clean output as the India search, in one actor. Build Gulf job boards, relocation feeds, and Middle-East labor-market datasets. #### Naukri Salary Scraper Use it as a **Naukri salary scraper** — pull salary ranges, currency (INR/AED), experience bands, and skills for every matching role. Ideal for compensation benchmarking and salary-insights dashboards. #### Naukri Scraper API for n8n & Make Trigger the **Naukri scraper API** from **n8n** or **Make**, schedule recurring runs, and consume results through the Apify API or the JavaScript/Python SDKs — perfect for job-alert bots, ATS sync, and automated job feeds. #### AmbitionBox Company Ratings & Reviews Enable company detail to attach **AmbitionBox** aggregate ratings and review counts to every job — combine Naukri listings with employer reputation for recruiter research and candidate-facing job boards. #### India Jobs Scraper & Market Research A clean **India jobs scraper** for analysts and researchers: collect roles by keyword, city, experience, and freshness, deduplicate by job ID, and export to CSV/Excel/JSON for hiring-trend and labor-market analysis. #### Naukri Company Scraper Scrape all matching roles for a keyword and enrich with company name, company page, and AmbitionBox rating — a lightweight **Naukri company scraper** for sales prospecting on hiring signals. --- ### Who Uses This | Use Case | Who It's For | |---|---| | India + Gulf job board & aggregator feeds | Job boards, ATS vendors, HR tech | | Recruiting & talent sourcing | Recruiters, sourcers, staffing firms | | Salary & labor-market research | Analysts, comp teams, researchers | | Job-alert automation (n8n / Make) | Automation builders, indie hackers | | Lead generation from hiring signals | Sales & B2B prospecting teams | --- ### Input | Field | Description | |---|---| | `keywords` | Job search keywords (e.g. *software engineer*). **Required.** | | `platform` | `naukri` (India), `naukrigulf` (Gulf/UAE), or `both`. | | `location` | Plain city name (e.g. *Bangalore*). **No GIDs.** Empty = nationwide. | | `experience` | Years of experience as a plain **number** (e.g. `3`). No IDs. | | `freshness` | `1d`, `3d`, `7d`, `15d`, `30d`, or `any`. | | `maxResults` | Maximum jobs — **enforced exactly**. | | `includeDescription` | Include each job's full description (on by default — it's free). | | `includeCompanyDetail` | Add AmbitionBox rating & review count (off by default for clean rows). | | `dedupe` | Remove duplicate postings by job ID (default on). | #### Example input ```json { "keywords": "data scientist", "location": "Bangalore", "experience": 5, "freshness": "7d", "maxResults": 200, "includeDescription": true, "includeCompanyDetail": true } ```` *** ### Output Each dataset item is one Naukri job posting: ```json { "jobId": "080626924552", "title": "Data Scientist", "company": "Accenture", "companyUrl": "https://www.naukri.com/accenture-jobs-careers-7682", "location": "Bengaluru", "country": "IN", "remote": false, "postedAt": "2026-06-08T12:21:51.094Z", "jobUrl": "https://www.naukri.com/job-listings-data-scientist-accenture-bengaluru-5-to-10-years-080626924552", "sourceBoard": "naukri", "description": "As a Data Scientist you will…", "currency": "INR", "salaryText": "12-18 LPA", "skills": ["python", "machine learning", "pyspark", "sql"], "experienceMin": 5, "experienceMax": 10, "rating": 4.4, "companyReviews": 482, "scrapedAt": "2026-06-08T22:27:13.062Z" } ``` Core fields are always present. `description`, `skills`, and `experience` are included by default. `rating` and `companyReviews` (AmbitionBox, India only) are added when **Include AmbitionBox company detail** is enabled. Salary fields appear when the employer discloses them. Every job includes its public Naukri `jobUrl` to view and apply. *** ### Pricing **$0.001 per job — just $1 per 1,000 jobs.** No flat monthly fee, **no per-run minimum**, and **`$0` on empty runs** — you only pay for the unique jobs you actually receive. This removes the **$0.50-per-run floor** charged by the leading Naukri scraper. | Jobs delivered | Cost | |---|---| | 100 | ~$0.10 | | 1,000 | ~$1.00 | | 10,000 | ~$10.00 | *** ### Integrations & Automation - **n8n / Make** — trigger runs and use Naukri results in your workflows. - **API & SDKs** — start runs and fetch the dataset via the Apify API or the JavaScript/Python SDKs. - **Scheduling** — run daily or weekly for fresh India + Gulf job feeds and alerts. - **Export** — Dataset → Export → CSV / Excel / JSON, or auto-export to Google Sheets. *** ### FAQ **Do I need GIDs, cookies, or a login?** No. Search by plain keyword, city name, and experience number — no GID hunting, no login, no cookies, no ban risk. **Does it cover Naukrigulf (Gulf / UAE) jobs?** Yes. Set `platform` to `naukrigulf` for Gulf/UAE roles, or `both` to cover **India and the Gulf in one run** — same clean output for each. **Will it return exactly the number of jobs I ask for?** Yes. `maxResults` is enforced **exactly** — no over-fetch, no padded billing. **Does it include salaries and AmbitionBox ratings?** Salary is included whenever the employer discloses it. **AmbitionBox** company rating and review count are added when you enable company detail. **Can I run it from n8n, Make, or the API?** Yes. Trigger it from n8n/Make or the Apify API and SDKs, and export to CSV/JSON/Sheets — use it as a **Naukri scraper API**. **How am I billed?** **$0.001 per job ($1 per 1,000)** — **free on empty, no per-run floor**. You only pay for the unique jobs you receive. **Is it legal?** It extracts only publicly available job postings. You are responsible for compliance with Naukri's Terms and applicable laws (GDPR, India IT Act, etc.) when using the data. *** ### ⭐ Bookmark this Actor & Leave a Review If this **Naukri + Gulf jobs scraper** saves you time: - **⭐ Star it** at the top of the page to bookmark it and help other Apify users find it. - **📝 Leave a review** — even one sentence on your use case helps us prioritize the next filter, field, or board (Naukrigulf parity, role/industry filters). Your bookmarks and reviews directly improve this actor's discoverability across the Apify Store. *** ### Related Apify Actors - [Naukri Scrapers](https://apify.com/store?search=naukri%20scraper) — other Naukri job and company scrapers - [AmbitionBox Scrapers](https://apify.com/store?search=ambitionbox) — company reviews & salaries - [Job Scrapers](https://apify.com/store?search=job%20scraper) — LinkedIn, Indeed, and more - [All Jobs Actors](https://apify.com/store?category=JOBS) — the full Apify jobs catalog *** ### Support & Feedback Found a bug or want a new filter, field, or board? - **Open an issue** on the actor's Issues tab in the Apify Console. - **Feature requests** are welcome — especially Naukrigulf parity, role/industry filters, and extra company fields. # Actor input Schema ## `keywords` (type: `string`): Job search keywords (e.g. software engineer). Drives the Naukri scraper API — use plain words, no GIDs. Required. ## `platform` (type: `string`): Which site to search: Naukri (India), Naukrigulf (Gulf/UAE), or both. ## `location` (type: `string`): Optional plain city name (e.g. Bangalore). No GIDs needed. Leave empty for a nationwide search. ## `experience` (type: `integer`): Optional years of experience as a plain number (e.g. 3). No IDs. ## `freshness` (type: `string`): Only return jobs posted within this window (honored server-side). ## `maxResults` (type: `integer`): Maximum jobs to return. Enforced exactly — no over-fetch, no overcharge. ## `includeDescription` (type: `boolean`): Include each job's full description (included free, on by default). ## `includeCompanyDetail` (type: `boolean`): AmbitionBox company rating and review count for salary and employer research. Off by default for clean rows. ## `dedupe` (type: `boolean`): Remove duplicate postings by job id. ## `maxCostUsd` (type: `integer`): Optional hard spend cap for the run. ## `proxyConfiguration` (type: `object`): Optional. Proxy is handled automatically — leave this as is. Advanced users may supply their own proxy. ## Actor input object example ```json { "keywords": "software engineer", "platform": "naukri", "freshness": "any", "maxResults": 100, "includeDescription": true, "includeCompanyDetail": false, "dedupe": true } ``` # Actor output Schema ## `jobId` (type: `string`): Stable Naukri/Naukrigulf job id. ## `title` (type: `string`): Job title. ## `company` (type: `string`): Hiring company name. ## `companyUrl` (type: `string`): Naukri company page URL (India). ## `location` (type: `string`): Job location. ## `country` (type: `string`): IN (Naukri) or AE (Naukrigulf). ## `remote` (type: `string`): True when the role looks remote/WFH. ## `postedAt` (type: `string`): ISO date the job was posted. ## `jobUrl` (type: `string`): Public job view URL (where the Apply button lives). ## `sourceBoard` (type: `string`): 'naukri' or 'naukrigulf'. ## `description` (type: `string`): Job description text. Included by default. ## `salaryMin` (type: `string`): Minimum salary, when disclosed. ## `salaryMax` (type: `string`): Maximum salary, when disclosed. ## `currency` (type: `string`): INR (India) or AED (Gulf). ## `salaryText` (type: `string`): Salary label as shown, when disclosed. ## `skills` (type: `string`): Skills / tags for the role. ## `experienceMin` (type: `string`): Minimum years of experience. ## `experienceMax` (type: `string`): Maximum years of experience. ## `rating` (type: `string`): AmbitionBox aggregate rating (India, when company detail enabled). ## `companyReviews` (type: `string`): AmbitionBox review count (India, when company detail enabled). ## `scrapedAt` (type: `string`): ISO 8601 timestamp of scrape. # 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 = { "keywords": "software engineer" }; // Run the Actor and wait for it to finish const run = await client.actor("k1ra/naukri-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 = { "keywords": "software engineer" } # Run the Actor and wait for it to finish run = client.actor("k1ra/naukri-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 '{ "keywords": "software engineer" }' | apify call k1ra/naukri-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=k1ra/naukri-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "✅ Naukri + Gulf Jobs Scraper — No Login, AmbitionBox, API", "description": "Naukri + Naukrigulf jobs scraper — no GIDs, no login, no cookies. Full descriptions, salaries, skills, experience & AmbitionBox ratings. Naukri salary scraper, Naukri scraper API for n8n & Make, India jobs scraper, company scraper, CSV export. Pay per job, $0 on empty.", "version": "0.1", "x-build-id": "d6vXeBqWVu4UO6dOF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/k1ra~naukri-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-k1ra-naukri-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/k1ra~naukri-jobs-scraper/runs": { "post": { "operationId": "runs-sync-k1ra-naukri-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/k1ra~naukri-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-k1ra-naukri-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", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "string", "description": "Job search keywords (e.g. software engineer). Drives the Naukri scraper API — use plain words, no GIDs. Required." }, "platform": { "title": "Platform", "enum": [ "naukri", "naukrigulf", "both" ], "type": "string", "description": "Which site to search: Naukri (India), Naukrigulf (Gulf/UAE), or both.", "default": "naukri" }, "location": { "title": "Location / city", "type": "string", "description": "Optional plain city name (e.g. Bangalore). No GIDs needed. Leave empty for a nationwide search." }, "experience": { "title": "Experience (years)", "minimum": 0, "maximum": 30, "type": "integer", "description": "Optional years of experience as a plain number (e.g. 3). No IDs." }, "freshness": { "title": "Date posted", "enum": [ "any", "1d", "3d", "7d", "15d", "30d" ], "type": "string", "description": "Only return jobs posted within this window (honored server-side).", "default": "any" }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum jobs to return. Enforced exactly — no over-fetch, no overcharge.", "default": 100 }, "includeDescription": { "title": "Include full descriptions", "type": "boolean", "description": "Include each job's full description (included free, on by default).", "default": true }, "includeCompanyDetail": { "title": "Include AmbitionBox company detail", "type": "boolean", "description": "AmbitionBox company rating and review count for salary and employer research. Off by default for clean rows.", "default": false }, "dedupe": { "title": "Deduplicate", "type": "boolean", "description": "Remove duplicate postings by job id.", "default": true }, "maxCostUsd": { "title": "Max cost (USD)", "minimum": 0, "type": "integer", "description": "Optional hard spend cap for the run." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. Proxy is handled automatically — leave this as is. Advanced users may supply their own 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 } } } } } } } } } } ```