# Walmart Scraper (`unfenced-group/walmart-scraper`) Actor Scrape Walmart products by keyword or URL. Get prices, deal badges, seller info, variants, ratings, and descriptions. - **URL**: https://apify.com/unfenced-group/walmart-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** E-commerce - **Stats:** 3 total users, 2 monthly users, 27.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Walmart Scraper ![Banner](https://api.apify.com/v2/key-value-stores/lJlifu6C8YQfZMPKE/records/walmart-scraper) Extract product data from Walmart.com, Walmart.ca, and Walmart.com.mx — with price change tracking, MAP violation detection, bulk item ID mode, and customer reviews. Supports keyword search, direct URLs, ZIP-code geo pricing, and scheduled monitoring. No API key required. --- ### Why this scraper? #### 🔍 Three discovery modes **Search** — keyword-based product discovery across all three Walmart markets. **Bulk** — supply a list of item IDs directly for the fastest possible fetches, no search overhead. **Monitor** — track a fixed set of products and get only the items that changed since last run. #### 📉 Price change tracking Every run compares current price and availability against last-known values. Each item gets a `changeStatus` field: `NEW`, `PRICE_DROP`, `PRICE_RISE`, `RESTOCKED`, `OUT_OF_STOCK`, or `UNCHANGED`. Enable `outputOnlyChanges` to emit only changed items — perfect for daily monitoring schedules. #### ⚠️ MAP violation detection Supply a `mapPrices` object (`{ "itemId": 49.99 }`) and every product below its Minimum Advertised Price is flagged with `mapViolation: true`, `mapPrice`, and `belowMapBy` — ready to feed into MAP enforcement workflows. #### 📍 ZIP code geo-targeted pricing Walmart prices and availability vary by location. Enter any US ZIP code to scrape exactly what a buyer in that area sees. #### 🎨 Variant pricing Sizes, colours, and configurations — each variant's price, availability, and stock status extracted separately. #### ⭐ Customer reviews (add-on) Enable `includeReviews` for per-product reviews: rating, text, verified-purchase flag, helpful votes. Billed at $0.50/1,000 reviews. #### 🌎 Three Walmart markets walmart.com (USD), walmart.ca (CAD), walmart.com.mx (MXN) from one actor. --- ### Input parameters | Field | Type | Default | Description | |---|---|---|---| | `mode` | string | `"search"` | `search` (keyword), `bulk` (item ID list), or `monitor` (change tracking) | | `keywords` | array | `[]` | Search terms. Each runs independently. | | `startUrls` | array | `[]` | Specific Walmart product or search page URLs. | | `itemIds` | array | `[]` | Walmart numeric item IDs for bulk/monitor mode. Fastest input method. | | `domain` | string | `"walmart.com"` | `walmart.com`, `walmart.ca`, or `walmart.com.mx` | | `maxResults` | integer | `100` | Maximum products to return. | | `fetchDetails` | boolean | `true` | Fetch detail page for variants, UPC, description, full images. | | `zipCode` | string | `""` | US ZIP for geo-targeted pricing (e.g. `"10001"`, `"90210"`). | | `outputOnlyChanges` | boolean | `false` | Emit only changed items. Requires history from previous runs. | | `mapPrices` | object | `{}` | MAP per item ID: `{ "1004249195": 49.99 }`. Items below trigger `mapViolation: true`. | | `includeReviews` | boolean | `false` | Fetch customer reviews (billed at $0.50/1,000). | | `maxReviews` | integer | `20` | Max reviews per product when `includeReviews` is true. | | `skipReposts` | boolean | `false` | Skip products seen in previous runs (new-product feed dedup). | --- ### Output schema #### Product items (always present) | Field | Type | Description | |---|---|---| | `itemId` | string | Walmart numeric item ID | | `title` | string | Full product title | | `url` | string | Canonical product URL | | `price` | number\|null | Current price (null if out-of-stock or restricted) | | `listPrice` | number\|null | Original "was" price before discount | | `currency` | string | `"USD"`, `"CAD"`, or `"MXN"` | | `domain` | string | Walmart domain scraped | | `zipCode` | string\|null | ZIP used for geo pricing | | `availability` | string\|null | `"IN_STOCK"`, `"OUT_OF_STOCK"`, etc. | | `inStock` | boolean | True if IN_STOCK | | `brand` | string\|null | Product brand | | `rating` | number\|null | Average customer rating (0–5) | | `reviewCount` | integer\|null | Total review count | | `image` | string\|null | Primary thumbnail URL | | `sellerName` | string\|null | Seller display name | | `sellerId` | string\|null | Walmart seller ID | | `isFirstParty` | boolean | True when sold directly by Walmart | | `fulfillment` | string\|null | Fulfillment type | | `dealBadge` | string\|null | Badge text (Rollback, Clearance, Special Buy) | | `isRollback` | boolean | Rollback badge present | | `isClearance` | boolean | Clearance badge present | | `isSpecialBuy` | boolean | Special Buy badge present | | `changeStatus` | string | `NEW` \| `PRICE_DROP` \| `PRICE_RISE` \| `RESTOCKED` \| `OUT_OF_STOCK` \| `UNCHANGED` | | `prevPrice` | number\|null | Price from previous run (null on first run) | | `prevAvailability` | string\|null | Availability from previous run | | `priceChange` | number\|null | Absolute price change vs previous run (negative = drop) | | `priceChangePct` | number\|null | Percentage price change vs previous run | | `mapViolation` | boolean | True when price is below the supplied MAP | | `mapPrice` | number\|null | The MAP price you supplied for this item | | `belowMapBy` | number\|null | How far below MAP the current price is | | `source` | string | Walmart domain | | `scrapedAt` | string | ISO 8601 timestamp | | `contentHash` | string | 16-char MD5 for change detection | #### With `fetchDetails: true` (default) | Field | Type | Description | |---|---|---| | `model` | string\|null | Model number | | `upc` | string\|null | UPC barcode | | `pricePerUnit` | string\|null | Unit price label (e.g. `"$0.14 /oz"`) | | `categories` | array | Full breadcrumb path | | `descriptionHtml` | string\|null | Raw HTML description | | `descriptionText` | string\|null | Plain text description | | `variants` | array\|null | Each variant: `type`, `name`, `itemId`, `price`, `listPrice`, `availability`, `inStock`, `image`, `currency` | | `images` | array | All product image URLs | #### Review items (`includeReviews: true`) Saved as separate items with `"_type": "review"`. | Field | Type | Description | |---|---|---| | `_type` | string | Always `"review"` | | `reviewId` | string\|null | Platform review ID | | `itemId` | string | Parent product item ID | | `rating` | number\|null | Star rating (1–5) | | `title` | string\|null | Review headline | | `text` | string\|null | Review body | | `authorName` | string\|null | Reviewer name | | `isVerifiedPurchase` | boolean | Verified Purchaser badge | | `helpfulVotes` | integer | Helpful vote count | | `submissionDate` | string\|null | Submission timestamp | #### Example product (monitor mode, second run) ```json { "itemId": "1004249195", "title": "Keurig K-Mini Single Serve Coffee Maker, Black", "price": 49.00, "listPrice": 59.99, "currency": "USD", "domain": "walmart.com", "zipCode": "10001", "changeStatus": "PRICE_DROP", "prevPrice": 59.99, "prevAvailability": "IN_STOCK", "priceChange": -10.99, "priceChangePct": -18.32, "mapViolation": false, "mapPrice": null, "belowMapBy": null, "isRollback": true, "dealBadge": "Rollback", "inStock": true, "rating": 4.6, "reviewCount": 18432, "isFirstParty": true, "variants": [ { "type": "Color", "name": "Black", "itemId": "1004249195", "price": 49.00, "inStock": true }, { "type": "Color", "name": "Dusty Rose", "itemId": "3698274018", "price": 54.00, "inStock": true } ], "scrapedAt": "2026-06-03T18:00:00.000Z", "contentHash": "a3f8b21c9d4e7f01" } ```` *** ### Examples **Keyword search with geo pricing:** ```json { "keywords": ["coffee maker"], "maxResults": 50, "fetchDetails": true, "zipCode": "10001" } ``` **Bulk mode — fastest way to check known products:** ```json { "itemIds": ["1004249195", "846561863", "5095233663"], "fetchDetails": true, "domain": "walmart.com" } ``` **Daily price-drop monitor (scheduled run):** ```json { "keywords": ["keurig", "nespresso"], "mode": "monitor", "outputOnlyChanges": true, "maxResults": 500, "fetchDetails": true, "zipCode": "90210" } ``` **MAP enforcement monitoring:** ```json { "itemIds": ["1004249195", "846561863"], "fetchDetails": true, "mapPrices": { "1004249195": 49.99, "846561863": 29.99 } } ``` *** ### 💰 Pricing **$3.00 per 1,000 products** — you only pay for successfully scraped items. Reviews add-on: **$0.50 per 1,000 reviews** when `includeReviews` is enabled. | Results | Product cost | Reviews (20 each) | |---------|------------|---| | 100 | ~$0.30 | +~$1.00 | | 1,000 | ~$3.00 | +~$10.00 | | 10,000 | ~$30.00 | +~$100.00 | > Flat-rate Walmart data services charge $49–$199/month. This scraper charges only for what you retrieve. *** ### Performance | Run | Time | |---|---| | 50 products, bulk mode | ~2–4 min | | 50 products, search + fetchDetails | ~4–6 min | | 200 products, search + fetchDetails | ~15–20 min | | 1,000 products, monitor + outputOnlyChanges | ~20–40 min | *** ### Known limitations - `outputOnlyChanges` outputs zero items on the first run (all items are NEW, which counts as changed). Useful from the second run onwards. - Price history is stored in the default KV store per run — it is shared within the same scheduled task but not across separate actor runs without a scheduler. - ZIP targeting is US-only; `.ca` runs ignore `zipCode`. - **walmart.com.mx** is accepted as input but currently returns limited data — the `.mx` site serves a different page structure that the scraper does not yet fully support. Use `walmart.com` or `walmart.ca` for reliable results. `.mx` support is planned for a future release. - Review text is extracted from the product detail page — requires `fetchDetails: true` when using `includeReviews`. *** ### Technical details - **Sources:** walmart.com, walmart.ca, walmart.com.mx - **Memory:** 512 MB - **Price history store:** KeyValueStore `walmart-price-history` (up to 200K items tracked) - **Dedup store:** KeyValueStore `walmart-scraper-dedup` (50K item rolling cap) - **Retry:** Exponential backoff, 3 attempts per request *** ### Additional services Need a custom actor, additional filters, scheduled runs, or integration support?.nl]\(mailto:info@unfencedgroup.nl) — we build on request. *** *** ### Need a custom scraper? **[Unfenced Group](https://www.unfencedgroup.nl)** builds Apify actors for any website — for free. If the site you need isn't in our portfolio yet, just ask. We scope, build, and publish it at no cost to you. You only pay for results — we absorb the compute and proxy costs ourselves. Same pay-per-result pricing, same quality, same standards as every actor in this portfolio. **Get in touch:** [www.unfencedgroup.nl](https://www.unfencedgroup.nl) # Actor input Schema ## `mode` (type: `string`): Controls how products are discovered. 'search' uses keyword queries, 'bulk' directly fetches a list of item IDs (fastest), 'monitor' fetches known items and tracks price/availability changes. ## `keywords` (type: `array`): List of search terms to query on Walmart (used in 'search' and 'monitor' modes). Each keyword is run independently. Example: \["laptop", "gaming chair"]. ## `startUrls` (type: `array`): Specific Walmart URLs to scrape — product pages (/ip/...) or search/category pages (/search?q=...). ## `itemIds` (type: `array`): List of Walmart numeric item IDs to fetch directly. Fastest input method — skips search entirely. One detail page fetch per ID. Example: \[1004249195, 846561863]. ## `domain` (type: `string`): Which Walmart marketplace to scrape. Use walmart.com for US, walmart.ca for Canada, walmart.com.mx for Mexico. ## `maxResults` (type: `integer`): Maximum total products to return across all inputs. In bulk mode, this caps how many IDs are processed. ## `fetchDetails` (type: `boolean`): Fetch full product detail page for each result. Adds variant pricing, description, full image list, UPC, model number, and precise seller info. Always true in bulk and monitor modes. ## `zipCode` (type: `string`): US ZIP code for geo-targeted pricing and availability. Walmart shows different prices per location. Example: 10001 (New York), 90210 (Beverly Hills), 60601 (Chicago). ## `outputOnlyChanges` (type: `boolean`): When enabled, only items with a price or availability change since the last run are saved to the dataset. Ideal for scheduled daily price-monitoring runs. Requires price history to be built up over multiple runs. ## `mapPrices` (type: `object`): Minimum Advertised Price (MAP) per item ID. Supply as a JSON object: { "1004249195": 49.99, "846561863": 29.99 }. Items priced below their MAP will have mapViolation: true in the output. ## `includeReviews` (type: `boolean`): Fetch customer reviews for each product (up to maxReviews per product). Reviews are saved as separate dataset items with \_type: 'review'. Billed at $0.50/1,000 reviews. ## `maxReviews` (type: `integer`): Maximum number of reviews to fetch per product when includeReviews is enabled. ## `skipReposts` (type: `boolean`): Skip products already returned in previous runs (cross-run deduplication via KV store). Best combined with keyword search for daily new-product feeds. ## Actor input object example ```json { "mode": "search", "keywords": [ "laptop" ], "startUrls": [], "itemIds": [], "domain": "walmart.com", "maxResults": 5, "fetchDetails": false, "zipCode": "", "outputOnlyChanges": false, "mapPrices": {}, "includeReviews": false, "maxReviews": 20, "skipReposts": false } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "laptop" ], "maxResults": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/walmart-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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": ["laptop"], "maxResults": 5, } # Run the Actor and wait for it to finish run = client.actor("unfenced-group/walmart-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": [ "laptop" ], "maxResults": 5 }' | apify call unfenced-group/walmart-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/walmart-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Walmart Scraper", "description": "Scrape Walmart products by keyword or URL. Get prices, deal badges, seller info, variants, ratings, and descriptions.", "version": "0.0", "x-build-id": "DmeuXFDb7uACvmqEe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~walmart-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-walmart-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~walmart-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-walmart-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~walmart-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-walmart-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Scraping mode", "enum": [ "search", "bulk", "monitor" ], "type": "string", "description": "Controls how products are discovered. 'search' uses keyword queries, 'bulk' directly fetches a list of item IDs (fastest), 'monitor' fetches known items and tracks price/availability changes.", "default": "search" }, "keywords": { "title": "Search keywords", "type": "array", "description": "List of search terms to query on Walmart (used in 'search' and 'monitor' modes). Each keyword is run independently. Example: [\"laptop\", \"gaming chair\"].", "default": [], "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Specific Walmart URLs to scrape — product pages (/ip/...) or search/category pages (/search?q=...).", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "itemIds": { "title": "Item IDs (bulk mode)", "type": "array", "description": "List of Walmart numeric item IDs to fetch directly. Fastest input method — skips search entirely. One detail page fetch per ID. Example: [1004249195, 846561863].", "default": [], "items": { "type": "string" } }, "domain": { "title": "Walmart domain", "enum": [ "walmart.com", "walmart.ca", "walmart.com.mx" ], "type": "string", "description": "Which Walmart marketplace to scrape. Use walmart.com for US, walmart.ca for Canada, walmart.com.mx for Mexico.", "default": "walmart.com" }, "maxResults": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Maximum total products to return across all inputs. In bulk mode, this caps how many IDs are processed.", "default": 5 }, "fetchDetails": { "title": "Fetch product detail pages", "type": "boolean", "description": "Fetch full product detail page for each result. Adds variant pricing, description, full image list, UPC, model number, and precise seller info. Always true in bulk and monitor modes.", "default": false }, "zipCode": { "title": "ZIP code (geo-targeted pricing)", "type": "string", "description": "US ZIP code for geo-targeted pricing and availability. Walmart shows different prices per location. Example: 10001 (New York), 90210 (Beverly Hills), 60601 (Chicago).", "default": "" }, "outputOnlyChanges": { "title": "Output only changed items (monitor mode)", "type": "boolean", "description": "When enabled, only items with a price or availability change since the last run are saved to the dataset. Ideal for scheduled daily price-monitoring runs. Requires price history to be built up over multiple runs.", "default": false }, "mapPrices": { "title": "MAP prices (MAP enforcement)", "type": "object", "description": "Minimum Advertised Price (MAP) per item ID. Supply as a JSON object: { \"1004249195\": 49.99, \"846561863\": 29.99 }. Items priced below their MAP will have mapViolation: true in the output.", "default": {} }, "includeReviews": { "title": "Include customer reviews", "type": "boolean", "description": "Fetch customer reviews for each product (up to maxReviews per product). Reviews are saved as separate dataset items with _type: 'review'. Billed at $0.50/1,000 reviews.", "default": false }, "maxReviews": { "title": "Max reviews per product", "minimum": 0, "type": "integer", "description": "Maximum number of reviews to fetch per product when includeReviews is enabled.", "default": 20 }, "skipReposts": { "title": "Skip already-seen products", "type": "boolean", "description": "Skip products already returned in previous runs (cross-run deduplication via KV store). Best combined with keyword search for daily new-product feeds.", "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 } } } } } } } } } } ```