# PropertyGuru Singapore Scraper (`alwaysprimedev/propertyguru-singapore-scraper`) Actor Scrape sale and rental listings from propertyguru.com.sg โ€” price, size, bedrooms, location, agent contact, photos, MRT distances, and more. Returns clean structured JSON / CSV / Excel. - **URL**: https://apify.com/alwaysprimedev/propertyguru-singapore-scraper.md - **Developed by:** [Always Prime](https://apify.com/alwaysprimedev) (community) - **Categories:** SEO tools, Real estate, Developer tools - **Stats:** 9 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ### ๐Ÿ  PropertyGuru Singapore Scraper Get every public listing on **propertyguru.com.sg** as clean structured data โ€” price, size, bedrooms, location, agent contact, photos, MRT distances, descriptions, more. Returns JSON, CSV, or Excel. ![Apify](https://img.shields.io/badge/Apify-Actor-blue) ![Python](https://img.shields.io/badge/Python-3.11-yellow) ![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20XLSX-green) > โšก๏ธ ~0.7 s per listing, 256 MB RAM, no browser. Built on PropertyGuru's own `__NEXT_DATA__` payload โ€” same data the site renders to itself. --- #### โœจ Why this scraper - ๐ŸŽฏ **Every monetizable field** โ€” price, PSF, bedrooms, floor & land area, tenure, district, lat/lon, agent name + CEA license + mobile, agency, 19+ photos, floor plans, MRT walk times, full description. - ๐Ÿš€ **Fast and cheap** โ€” pure HTTP with browser TLS fingerprinting. 5ร— the throughput of a Playwright-based scraper at 1/8th the memory. - ๐Ÿ” **Incremental friendly** โ€” pass a `since` timestamp and the actor skips listings posted before it, so daily refresh runs only pay for what's new. - ๐Ÿงฉ **No glue code needed** โ€” push the output straight into BigQuery, Postgres, Notion, Make, n8n, Sheets โ€” every field is typed and the dataset table view is pre-configured. --- #### ๐Ÿš€ Quick start 1. Click **Try for free** above. 2. Pick `searchType: sale` or `rent`, optionally narrow by district / price / bedrooms. 3. Hit **Start**. 4. Download as JSON, CSV, or Excel from the **Output** tab. That's it. No accounts, no proxies, no anti-bot tinkering. --- #### ๐ŸŽ›๏ธ Input | Field | Type | What it does | |---|---|---| | `searchType` | `sale` \| `rent` | Choose properties for sale or for rent. Default: `sale`. | | `freetext` | string | Search by project / street / area name (e.g. `"Tanjong Pagar"`). | | `districts` | string list | Restrict to specific SG districts (`D09`, `D10`, โ€ฆ). | | `propertyTypeCodes` | string list | Restrict by type โ€” `APT`, `CONDO`, `HDB`, `SEMI`, `TERR`, `BUNG`, `EXEC`, `LAND`. | | `minPrice` / `maxPrice` | int | Price bounds in SGD. For rentals, monthly rent. | | `bedrooms` | string list | Bedroom counts to include (`"2"`, `"3"`; use `"0"` for studio). | | `sortBy` | enum | `default` (relevance), `price_low`, `price_high`. | | `since` | datetime | Only listings posted after this moment โ€” for incremental refreshes. | | `scrapeDetails` | bool | Off = URL-only mode (~10ร— cheaper, fast diff runs). On (default) = full record. | | `maxItems` | int | Cap on records. `0` = unlimited. Default: `50`. | | `concurrency` | int | Parallel detail fetches. Default: `5`. Max: `25`. | | `startUrls` | URL list | Advanced override: feed your own already-built PG search URLs. | --- #### ๐Ÿ“ฆ Sample output (one listing) ```json { "url": "https://www.propertyguru.com.sg/listing/for-sale-the-lakeshore-500140099", "id": "500140099", "scraped_at": "2026-05-15T08:34:46+00:00", "listingType": "SALE", "propertyType": "Condominium", "propertyTypeCode": "CONDO", "propertyTypeGroup": "N", "title": "The Lakeshore", "headline": "Lakeshore 3-Bedroom ยท Pool View ยท Vacant", "description": "Spacious 1,109 sqft 3-bedroom unit with unobstructed pool views...", "price": 1688000, "pricePretty": "S$ 1,688,000", "currency": "SGD", "bedrooms": 3, "bathrooms": 2, "floorArea": 1109, "floorAreaPsf": 1522.09, "landArea": null, "landAreaPsf": null, "tenure": "L99", "tenureText": "99-year Leasehold", "isVerified": true, "qualityScore": 98, "statusCode": "ACT", "datePosted": "2026-05-13T09:21:04", "dateCreated": "2026-04-22T11:08:30", "dateExpires": "2026-07-21T23:59:59", "address": { "streetName": "Lakeshore Drive", "fullAddress": "1 Lakeshore Drive", "postcode": "648292", "districtCode": "D22", "districtText": "Boon Lay / Jurong / Tuas", "lat": 1.3411, "lon": 103.7129 }, "agent": { "id": 88012, "name": "Keith Low", "license": "R047251D", "mobile": "+6593690168", "jobTitle": "Senior Marketing Director", "profileUrl": "https://www.propertyguru.com.sg/agent/keith-low-88012", "avatar": "https://sg1-cdn.pgimgs.com/agent/88012/APHO.../V120B.png" }, "agency": { "id": 4619, "name": "ERA REALTY NETWORK PTE LTD", "license": "L3002382K" }, "images": [ {"src": "https://sg1-cdn.pgimgs.com/listing/500140099/.../V800/...jpg", "caption": "Living Room"} ], "floorPlans": [], "virtualTours": [], "mainImage": "https://sg1-cdn.pgimgs.com/listing/500140099/.../V800/...jpg", "poiMrt": [ {"name": "EW27 Boon Lay MRT Station", "distanceKm": 0.41, "walkingDistanceKm": 0.45, "walkingDurationMins": 6} ], "poiSchool": [] } ```` *** #### ๐Ÿ’ผ Use cases | Who | What they do with it | |---|---| | ๐Ÿข **Investors & buyers** | Build a daily refresh feed of new listings in target districts; flag underpriced units by PSF percentile. | | ๐Ÿค **Property agents** | Track competitor listings, monitor agent activity, scout co-broking opportunities. | | ๐Ÿ—๏ธ **PropTech & analytics** | Power dashboards, AVMs (automated valuation models), heat maps, market reports. | | ๐Ÿง  **ML / data science** | Train pricing models, location-embedding models, agent-fraud classifiers on real SG transaction data. | | ๐Ÿ“Š **Market research** | Quarterly reports on price/PSF trends by district, by property type, by tenure. | *** #### ๐Ÿ’ก Tips & tricks - **Daily refresh:** set `since` to yesterday's date โ€” the actor short-circuits at the search page and you only pay for genuinely new listings. - **Index mode:** `scrapeDetails: false` returns just URLs + IDs โ€” perfect for diff-only runs to detect what's been added or de-listed. - **Pricing buckets:** run 3 separate runs with different `minPrice`/`maxPrice` windows in parallel for faster total scrape times. - **Districts D09 / D10 / D11** (Orchard, Tanglin, Newton) account for ~40% of all luxury SG sale listings โ€” narrow there for premium segments. *** #### โ“ FAQ **How fresh is the data?** Live. Each request hits PropertyGuru's production servers at the moment of your run. **Will my dataset have duplicates?** No. The actor de-dupes by listing ID at queue time and again at push time. **What about listings posted in multiple districts?** PropertyGuru issues one ID per listing โ€” you'll see it exactly once. **Can I scrape rentals too?** Yes โ€” set `searchType: rent`. All the same fields populate (price = monthly rent). **Will big runs fail halfway?** No. The actor tracks a failure budget (>30% failed โ†’ stop and report) so a broken site never quietly drains your CU. **What happens if PropertyGuru changes its layout?** The actor's parser runs against captured HTML fixtures in CI โ€” site redesigns surface as test failures within hours, not weeks of silently broken data. *** #### ๐Ÿ›Ÿ Support Found a bug or missing field? Open an issue or message the actor maintainer from the Apify Store page. Bug reports with the run ID get fastest turnaround. # Actor input Schema ## `searchType` (type: `string`): Whether to scrape properties for sale or for rent on propertyguru.com.sg. ## `freetext` (type: `string`): Free-text query โ€” e.g. a project name ("The Sail"), a street ("Orchard Road"), or an area. Leave empty to scrape all listings of the chosen type. ## `districts` (type: `array`): Singapore postal district codes (D01โ€“D28) to restrict results to. Leave empty for the entire island. Each district matches the official URA mapping. ## `propertyTypeCodes` (type: `array`): Restrict results to specific property types. Common codes: APT (Apartment), CONDO (Condominium), HDB, EXEC (Executive Condo), SEMI (Semi-Detached), TERR (Terraced House), BUNG (Bungalow), LAND (Landed). Omit to allow all types. ## `minPrice` (type: `integer`): Lower bound on the listing price in Singapore dollars. For rental listings this is the monthly rent. ## `maxPrice` (type: `integer`): Upper bound on the listing price in Singapore dollars. For rental listings this is the monthly rent. ## `bedrooms` (type: `array`): Filter to listings with these exact bedroom counts. Use 0 for studios. Leave empty for any. ## `sortBy` (type: `string`): How to sort the search results. "Default" uses PropertyGuru's relevance ranking. Date-based sorting is intentionally not exposed โ€” use "Only listings posted after" below for incremental runs instead. ## `since` (type: `string`): ISO-8601 timestamp (e.g. 2026-05-01T00:00:00Z). Listings posted before this moment are skipped โ€” useful for daily incremental refresh runs without re-paying for already-seen data. ## `scrapeDetails` (type: `boolean`): When enabled (default) every listing's full detail page is fetched โ€” agent contact, photos, MRT distances, descriptions, all flat-record fields. Disable for an index-only run that returns just IDs + URLs at ~10ร— lower cost; useful for diff-only daily refreshes. ## `maxItems` (type: `integer`): Cap on the number of listings to scrape. Set to 0 for unlimited (scrape every matching listing across all pages). Caps both pagination and detail fetches โ€” the actor stops fetching search pages as soon as enough URLs are queued. ## `concurrency` (type: `integer`): How many detail pages to fetch in parallel. Higher = faster but more aggressive on the source site. The default of 3 is polite and works without proxies. Raise carefully โ€” values above 5 risk triggering Cloudflare rate-limits. ## `startUrls` (type: `array`): Power-user override: drop in already-built PropertyGuru search URLs (e.g. complex filtered pages, agent-listing pages, project pages) and the actor will paginate from page 1 of each. Overrides all simple filters above when provided. ## Actor input object example ```json { "searchType": "sale", "freetext": "Tanjong Pagar", "districts": [ "D09", "D10", "D11" ], "propertyTypeCodes": [ "CONDO", "APT" ], "minPrice": 500000, "maxPrice": 2000000, "bedrooms": [ "2", "3" ], "sortBy": "default", "scrapeDetails": true, "maxItems": 100, "concurrency": 3, "startUrls": [ { "url": "https://www.propertyguru.com.sg/property-for-sale/with-3-bedrooms?district_code[]=D09&maxprice=3000000" } ] } ``` # Actor output Schema ## `listings` (type: `string`): All scraped listings as a JSON array. ## `listingsCsv` (type: `string`): All scraped listings as a flat CSV โ€” opens directly in Excel / Google Sheets. ## `listingsXlsx` (type: `string`): All scraped listings as a native .xlsx workbook. ## `consoleView` (type: `string`): Browse the dataset with the table view and inline filtering in the Apify Console. # 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 = { "searchType": "sale", "districts": [ "D09", "D10", "D11" ], "sortBy": "default", "scrapeDetails": true, "maxItems": 25, "concurrency": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("alwaysprimedev/propertyguru-singapore-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 = { "searchType": "sale", "districts": [ "D09", "D10", "D11", ], "sortBy": "default", "scrapeDetails": True, "maxItems": 25, "concurrency": 3, } # Run the Actor and wait for it to finish run = client.actor("alwaysprimedev/propertyguru-singapore-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 '{ "searchType": "sale", "districts": [ "D09", "D10", "D11" ], "sortBy": "default", "scrapeDetails": true, "maxItems": 25, "concurrency": 3 }' | apify call alwaysprimedev/propertyguru-singapore-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=alwaysprimedev/propertyguru-singapore-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PropertyGuru Singapore Scraper", "description": "Scrape sale and rental listings from propertyguru.com.sg โ€” price, size, bedrooms, location, agent contact, photos, MRT distances, and more. Returns clean structured JSON / CSV / Excel.", "version": "0.1", "x-build-id": "uVpXY2ufQfoCaOD6o" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/alwaysprimedev~propertyguru-singapore-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-alwaysprimedev-propertyguru-singapore-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/alwaysprimedev~propertyguru-singapore-scraper/runs": { "post": { "operationId": "runs-sync-alwaysprimedev-propertyguru-singapore-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/alwaysprimedev~propertyguru-singapore-scraper/run-sync": { "post": { "operationId": "run-sync-alwaysprimedev-propertyguru-singapore-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": { "searchType": { "title": "Search type", "enum": [ "sale", "rent" ], "type": "string", "description": "Whether to scrape properties for sale or for rent on propertyguru.com.sg.", "default": "sale" }, "freetext": { "title": "Search keywords", "type": "string", "description": "Free-text query โ€” e.g. a project name (\"The Sail\"), a street (\"Orchard Road\"), or an area. Leave empty to scrape all listings of the chosen type." }, "districts": { "title": "Districts", "uniqueItems": true, "type": "array", "description": "Singapore postal district codes (D01โ€“D28) to restrict results to. Leave empty for the entire island. Each district matches the official URA mapping.", "items": { "type": "string" } }, "propertyTypeCodes": { "title": "Property type codes", "uniqueItems": true, "type": "array", "description": "Restrict results to specific property types. Common codes: APT (Apartment), CONDO (Condominium), HDB, EXEC (Executive Condo), SEMI (Semi-Detached), TERR (Terraced House), BUNG (Bungalow), LAND (Landed). Omit to allow all types.", "items": { "type": "string" } }, "minPrice": { "title": "Min price (SGD)", "minimum": 0, "type": "integer", "description": "Lower bound on the listing price in Singapore dollars. For rental listings this is the monthly rent." }, "maxPrice": { "title": "Max price (SGD)", "minimum": 0, "type": "integer", "description": "Upper bound on the listing price in Singapore dollars. For rental listings this is the monthly rent." }, "bedrooms": { "title": "Bedroom counts", "uniqueItems": true, "type": "array", "description": "Filter to listings with these exact bedroom counts. Use 0 for studios. Leave empty for any.", "items": { "type": "string" } }, "sortBy": { "title": "Sort order", "enum": [ "default", "price_low", "price_high" ], "type": "string", "description": "How to sort the search results. \"Default\" uses PropertyGuru's relevance ranking. Date-based sorting is intentionally not exposed โ€” use \"Only listings posted after\" below for incremental runs instead.", "default": "default" }, "since": { "title": "Only listings posted after", "type": "string", "description": "ISO-8601 timestamp (e.g. 2026-05-01T00:00:00Z). Listings posted before this moment are skipped โ€” useful for daily incremental refresh runs without re-paying for already-seen data." }, "scrapeDetails": { "title": "Scrape detail pages", "type": "boolean", "description": "When enabled (default) every listing's full detail page is fetched โ€” agent contact, photos, MRT distances, descriptions, all flat-record fields. Disable for an index-only run that returns just IDs + URLs at ~10ร— lower cost; useful for diff-only daily refreshes.", "default": true }, "maxItems": { "title": "Max listings", "minimum": 0, "type": "integer", "description": "Cap on the number of listings to scrape. Set to 0 for unlimited (scrape every matching listing across all pages). Caps both pagination and detail fetches โ€” the actor stops fetching search pages as soon as enough URLs are queued.", "default": 50 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 25, "type": "integer", "description": "How many detail pages to fetch in parallel. Higher = faster but more aggressive on the source site. The default of 3 is polite and works without proxies. Raise carefully โ€” values above 5 risk triggering Cloudflare rate-limits.", "default": 3 }, "startUrls": { "title": "Custom start URLs (advanced)", "uniqueItems": true, "type": "array", "description": "Power-user override: drop in already-built PropertyGuru search URLs (e.g. complex filtered pages, agent-listing pages, project pages) and the actor will paginate from page 1 of each. Overrides all simple filters above when provided.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```