# NoBroker India Real Estate Scraper (`parseforge/nobroker-scraper`) Actor Scrape Indian real estate listings from NoBroker.in by city/locality search URL. Returns 50+ fields per property: price, BHK, sqft, address, builder, amenities, ownership, parking, facing, geo coordinates, photos, owner ID, and detail page URL. - **URL**: https://apify.com/parseforge/nobroker-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Real estate, Lead generation, Automation - **Stats:** 8 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 property listing records 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐Ÿ‡ฎ๐Ÿ‡ณ NoBroker India Real Estate Scraper > ๐Ÿš€ ๐Ÿ‡ฎ๐Ÿ‡ณ **Scrape Indian real estate listings from NoBroker.in.** Pull **hundreds of thousands of Indian listings** worth of data with **40 fields per record**. No API key, no manual data entry. > ๐Ÿ•’ **Last updated:** 2026-05-05 ยท **๐Ÿ“Š 40 fields per record** ยท **๐ŸŒ India** ยท **๐Ÿ’ต from $0.005 per item (FREE tier)** The **NoBroker India Real Estate Scraper** Scrape Indian real estate listings from NoBroker.in by city/locality search URL. Returns 40+ fields per property including price (INR), BHK type, sqft, builder name and grade, building name, address, ownership type, parking, facing direction, amenities map, owner ID, geo coordinates, transit and lifestyle scores, and the listing URL. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Sales teams, compliance officers, researchers, journalists, real-estate analysts, healthcare ops | Real-estate analytics, Investor underwriting, PropTech lead generation, Market intelligence | --- ### ๐Ÿ“‹ What the NoBroker India Real Estate Scraper does Highlights of every record returned: - ๐Ÿ  **Property identity.** title, building name, locality, address, image, listing URL. - ๐Ÿ’ฐ **Price & financials.** price (INR), formatted price, maintenance cost per sqft, negotiable flag. - ๐Ÿ“ **Specs.** BHK type, property size sqft, bathroom count, propertyAge, facing. - ๐Ÿ—๏ธ **Building.** builder name, builder grade, ownership type, parking type. - ๐ŸŠ **Amenities.** lift, pool, gym, club, security, intercom, internet, CPA, etc. - ๐Ÿ“ **Location & scores.** lat/lng, transit score, lifestyle score. - ๐Ÿ“ž **Owner contact.** owner ID for follow-up, contacted-status flag. > ๐Ÿ’ก **Why it matters:** verified, structured data delivered in seconds beats hand-curated spreadsheets that go stale within days. Run this Actor on a schedule and your downstream pipeline always has fresh records. --- ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded NoBroker India Real Estate Scraper dataset._ --- ### โš™๏ธ Input
InputTypeDefaultBehavior
searchUrlsarray of stringsrequiredNoBroker search-list URLs (paste from your browser after filtering by city/locality).
maxItemsinteger10Records to return. Free: max 10. Paid: up to 1,000,000.
**Example input:** ```json { "searchUrls": ["https://www.nobroker.in/property/sale/bangalore/Whitefield_search-list?searchParam=..."], "maxItems": 100 } ```` *** ### ๐Ÿ“Š Output Each record contains **40 fields**. Download the dataset as CSV, Excel, JSON, or XML. #### ๐Ÿงพ Top fields - `propertyTitle` - `url` - `price` - `formattedPrice` - `typeDesc` - `propertySize` - `buildingName` - `builderName` - `locality` - `city` - `amenities` - `lat` - `lng` *** ### โœจ Why choose this Actor - ๐Ÿ› ๏ธ **No infrastructure** to maintain. The Apify cloud handles scheduling, retries, proxies, and storage. - ๐ŸŒ **Verified source data.** Records come from authoritative public sources, not third-party aggregators. - ๐Ÿ” **Repeatable runs.** Schedule monthly, weekly, or hourly to keep your pipeline always fresh. - ๐Ÿ“Š **Multiple export formats.** CSV, Excel, JSON, XML out of the box. - ๐Ÿ’ต **Pay only for what you use.** Pay-per-result-item pricing, free preview included. *** ### ๐Ÿ’ผ Business use cases #### ๐Ÿ˜๏ธ Real-estate analytics Track price-per-sqft, builder share, and amenity coverage across Bengaluru, Mumbai, Delhi, and other Indian metros. #### ๐Ÿ“Š Investor underwriting Pull comparables for a target locality with full geo + amenity for radius search and rental yield modeling. #### ๐Ÿค PropTech lead generation Reach Indian property owners (via owner ID) for AMS, brokerage, or maintenance-services upsell. #### ๐Ÿ“ˆ Market intelligence Build dashboards of new-launch density, builder grade distribution, and price segmentation by Indian city. *** ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Filters | Setup | |---|---|---|---|---|---| | **โญ NoBroker India Real Estate Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Full source coverage | **Live per run** | Source-native filters supported | โšก 2 min | | Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | ๐Ÿข Days to weeks | | Paid managed APIs | $$$ monthly | Vendor-defined | Live | Vendor-defined | โณ Hours | | Third-party data dumps | Varies | Subset, often stale | Periodic | None | ๐Ÿ•’ Variable | Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance. *** ### ๐Ÿš€ How to use 1. [Create a free account](https://console.apify.com/sign-up?fpr=vmoqkp) on Apify (includes $5 in free credit). 2. Open the **NoBroker India Real Estate Scraper** Actor page. 3. Fill out the input form and click **Start**. 4. Download your dataset in CSV, Excel, JSON, or XML. *** ### ๐ŸŒŸ Beyond business use cases #### ๐ŸŽ“ Research and academia Urban-planning researchers can study Indian housing density, BHK distribution, and amenity stratification. #### ๐ŸŽจ Personal and creative Home buyers can build personal saved-search dashboards with custom filters not on the consumer site. #### ๐Ÿค Non-profit and civic Affordable-housing advocates can monitor price stratification across Indian cities. #### ๐Ÿงช Experimentation Data scientists can use NoBroker records as a regression benchmark for Indian housing-market models. *** ### ๐Ÿค– Ask an AI assistant about this scraper Open a ready-to-send prompt about this ParseForge actor in the AI of your choice: - ๐Ÿ’ฌ [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20%F0%9F%87%AE%F0%9F%87%B3%20NoBroker%20India%20Real%20Estate%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿง  [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20%F0%9F%87%AE%F0%9F%87%B3%20NoBroker%20India%20Real%20Estate%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ” [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20%F0%9F%87%AE%F0%9F%87%B3%20NoBroker%20India%20Real%20Estate%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ…’ [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20%F0%9F%87%AE%F0%9F%87%B3%20NoBroker%20India%20Real%20Estate%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) *** ### โ“ Frequently Asked Questions #### Where does the data come from? From `nobroker.in` search-list pages, parsed from the embedded `nb.appState` JSON state. #### How do I get a search URL? Open NoBroker, filter by city + locality, then copy the URL from your address bar. The `searchParam` is a base64-encoded JSON of geo + place metadata. #### Why does each search URL return up to ~100 listings? The actor passes `&size=100` to NoBroker's SSR-renderer. To get more than 100 from a city, supply multiple search URLs (different localities). #### Are owner phone numbers exposed? No. The actor returns only the owner ID; phone access requires login on NoBroker for compliance with their privacy policy. #### How fresh is the data? Records are scraped in real time. NoBroker updates listings as owners post or remove. *** ### ๐Ÿ”Œ Integrate with any app Connect this Actor to your stack via the [Apify integrations](https://docs.apify.com/platform/integrations) catalog: - ๐Ÿ“Š **Make / Zapier / n8n** - trigger scrapes from any business workflow. - ๐Ÿ’ฌ **Slack / Discord** - get a notification when a run finishes. - ๐Ÿ“ **Google Drive / Google Sheets** - push the dataset directly into a spreadsheet. - ๐Ÿ“จ **Gmail / Mailchimp / HubSpot** - automate outreach with the scraped leads. - ๐Ÿ”Œ **Apify CLI / SDK** - programmatic control from Python, Node.js, or any HTTP client. - โšก **Webhooks** - POST run results to any endpoint when complete. *** ### ๐Ÿ”— Recommended Actors - ๐Ÿ”ง [**Zillow Scraper**](https://apify.com/parseforge/zillow-scraper) - ๐Ÿ”ง [**Realtor.com Scraper**](https://apify.com/parseforge/realtor-com-scraper) - ๐Ÿ”ง [**Apartments.com Scraper**](https://apify.com/parseforge/apartments-com-scraper) - ๐Ÿ”ง [**Redfin Scraper**](https://apify.com/parseforge/redfin-scraper) - ๐Ÿ”ง [**LoopNet Scraper**](https://apify.com/parseforge/loopnet-real-estate-scraper) *** > **Disclaimer:** This Actor scrapes only publicly accessible data. We do not collect personal information beyond what is voluntarily published by the source. Do not use the data for unauthorized contact, spam, or any purpose violating applicable laws or the source site's Terms of Service. Respect [GDPR](https://gdpr.eu/), [CCPA](https://oag.ca.gov/privacy/ccpa), and applicable consumer-protection laws. ParseForge is not affiliated with any source site. *** **๐Ÿ†˜ Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom data project, or report an issue. # Actor input Schema ## `searchUrls` (type: `array`): List of NoBroker search-list URLs (paste from your browser after filtering by city/locality on nobroker.in). Each URL paginates ~25 listings per page; the actor walks all pages until maxItems is reached. ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## Actor input object example ```json { "searchUrls": [ "https://www.nobroker.in/property/sale/bangalore/Whitefield_search-list?searchParam=W3sibGF0IjoxMi45NjkxOTE1LCJsb24iOjc3LjcyMDIxNCwicGxhY2VJZCI6IkNoSUpfdkx5bUF3VnJqc1JVUWlwM0wzVTlOWSIsInBsYWNlTmFtZSI6IldoaXRlZmllbGQifV0=", "https://www.nobroker.in/property/rent/bangalore/Whitefield_search-list?searchParam=W3sibGF0IjoxMi45NjkxOTE1LCJsb24iOjc3LjcyMDIxNCwicGxhY2VJZCI6IkNoSUpfdkx5bUF3VnJqc1JVUWlwM0wzVTlOWSIsInBsYWNlTmFtZSI6IldoaXRlZmllbGQifV0=" ], "maxItems": 10 } ``` # Actor output Schema ## `overview` (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 = { "searchUrls": [ "https://www.nobroker.in/property/sale/bangalore/Whitefield_search-list?searchParam=W3sibGF0IjoxMi45NjkxOTE1LCJsb24iOjc3LjcyMDIxNCwicGxhY2VJZCI6IkNoSUpfdkx5bUF3VnJqc1JVUWlwM0wzVTlOWSIsInBsYWNlTmFtZSI6IldoaXRlZmllbGQifV0=", "https://www.nobroker.in/property/rent/bangalore/Whitefield_search-list?searchParam=W3sibGF0IjoxMi45NjkxOTE1LCJsb24iOjc3LjcyMDIxNCwicGxhY2VJZCI6IkNoSUpfdkx5bUF3VnJqc1JVUWlwM0wzVTlOWSIsInBsYWNlTmFtZSI6IldoaXRlZmllbGQifV0=" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/nobroker-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchUrls": [ "https://www.nobroker.in/property/sale/bangalore/Whitefield_search-list?searchParam=W3sibGF0IjoxMi45NjkxOTE1LCJsb24iOjc3LjcyMDIxNCwicGxhY2VJZCI6IkNoSUpfdkx5bUF3VnJqc1JVUWlwM0wzVTlOWSIsInBsYWNlTmFtZSI6IldoaXRlZmllbGQifV0=", "https://www.nobroker.in/property/rent/bangalore/Whitefield_search-list?searchParam=W3sibGF0IjoxMi45NjkxOTE1LCJsb24iOjc3LjcyMDIxNCwicGxhY2VJZCI6IkNoSUpfdkx5bUF3VnJqc1JVUWlwM0wzVTlOWSIsInBsYWNlTmFtZSI6IldoaXRlZmllbGQifV0=", ], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/nobroker-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchUrls": [ "https://www.nobroker.in/property/sale/bangalore/Whitefield_search-list?searchParam=W3sibGF0IjoxMi45NjkxOTE1LCJsb24iOjc3LjcyMDIxNCwicGxhY2VJZCI6IkNoSUpfdkx5bUF3VnJqc1JVUWlwM0wzVTlOWSIsInBsYWNlTmFtZSI6IldoaXRlZmllbGQifV0=", "https://www.nobroker.in/property/rent/bangalore/Whitefield_search-list?searchParam=W3sibGF0IjoxMi45NjkxOTE1LCJsb24iOjc3LjcyMDIxNCwicGxhY2VJZCI6IkNoSUpfdkx5bUF3VnJqc1JVUWlwM0wzVTlOWSIsInBsYWNlTmFtZSI6IldoaXRlZmllbGQifV0=" ], "maxItems": 10 }' | apify call parseforge/nobroker-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/nobroker-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NoBroker India Real Estate Scraper", "description": "Scrape Indian real estate listings from NoBroker.in by city/locality search URL. Returns 50+ fields per property: price, BHK, sqft, address, builder, amenities, ownership, parking, facing, geo coordinates, photos, owner ID, and detail page URL.", "version": "1.0", "x-build-id": "bA8vwwkcfdBxbFOsr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~nobroker-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-nobroker-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~nobroker-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-nobroker-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~nobroker-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-nobroker-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchUrls" ], "properties": { "searchUrls": { "title": "NoBroker Search URLs", "type": "array", "description": "List of NoBroker search-list URLs (paste from your browser after filtering by city/locality on nobroker.in). Each URL paginates ~25 listings per page; the actor walks all pages until maxItems is reached.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" } } }, "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 } } } } } } } } } } ```