# ARGOS Harvester (`jupri/argos-scraper`) Actor πŸ’« All-In-One Argos.co.uk Scraper - **URL**: https://apify.com/jupri/argos-scraper.md - **Developed by:** [cat](https://apify.com/jupri) (community) - **Categories:** E-commerce - **Stats:** 57 total users, 3 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing $30.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Welcome to Argos Scraper ### About Argos.com **Argos Limited**, trading as **Argos**, is a [catalogue retailer](https://en.wikipedia.org/wiki/Catalogue_retailer "Catalogue retailer") operating in the [United Kingdom](https://en.wikipedia.org/wiki/United_Kingdom) and [Ireland](https://en.wikipedia.org/wiki/Republic_of_Ireland "Republic of Ireland"), acquired by [Sainsbury's](https://en.wikipedia.org/wiki/Sainsbury%27s "Sainsbury's") supermarket chain in 2016. It was established in November 1972 and is named after the Greek city of [Argos](https://en.wikipedia.org/wiki/Argos,_Peloponnese "Argos, Peloponnese"). The company trades both through physical shops and online, with 29 million yearly shop customers, and nearly a billion online visitors per annum.[[2]](https://en.wikipedia.org/wiki/Argos_(retailer)#cite_note-2) It has also franchised overseas to countries such as China.[[3]](https://en.wikipedia.org/wiki/Argos_(retailer)#cite_note-3)[[4]](https://en.wikipedia.org/wiki/Argos_(retailer)#cite_note-4) ### About This Actor Search & scrape product data from Argos.co.uk. Search by keyword or category, get product information, reviews, prices, variants, etc. ### Output Samples ```yaml { "avgRating": 4.700284, "brand": "Samsung", "breadcrumb": { "categories": [ { "id": "33006169", "name": "Technology", "url": "33006169" }, { "id": "33008085", "name": "Mobile phones and accessories", "url": "33008085" }, { "id": "42793786", "name": "SIM free phones", "url": "42793786" } ] }, "buyable": true, "catentryId": "3227109", "collectable": true, "deliverable": true, "deliveryCost": 3.95, "deliveryPrice": 3.95, "description": "

Meet our new Galaxy A05s that is designed to maximize value with its Awesome features. First, with the enhanced 13MP front camera, you can take brighter and clearer selfies & videos to capture your memorable moments. Second, its large 5,000 mAh battery lets you enjoy mobile activities for a long period of time and eliminates your concern about the battery level. Better yet, with the 25W fast charging, you can recharge your Galaxy A05s in no time. Lastly, the improved processor of the Galaxy A05s helps you to multitask effortlessly.

See more with Galaxy A05s' massive 6.7-inch FHD+ screen, featuring our Infinity-U display for maximum immersion.

With Galaxy A05s' additional Macro lens, photographers can uncover intricate details in extreme close-ups.

Features a proficient Snapdragon 680 processor that keeps everything running smoothly.

Model number: SM-A057GZKUEUB.

Network:

Display and Design:

Dimensions:

Camera and Video:

Storage:

Technical specifications:

Battery:

Product features:

Connectivity:

General information:

", "detailAttributes": [ { "name": "Bluetooth", "value": "Yes" }, { "name": "EAN", "value": "8806095268408" }, { "name": "Internal memory (GB)", "value": "64" }, { "name": "Network capability", "value": "4G" }, { "name": "Network provider", "value": "Sim free" }, { "name": "Operating system", "value": "Android" }, { "name": "SIM card type 1", "value": "Nano SIM" }, { "name": "Standby (hours)", "value": "0" }, { "name": "Talk time (mins)", "value": "0" }, { "name": "Type", "value": "Smartphone" } ], "ean": "8806095268408", "featureType": "0", "fulfilmentAgent": "ADSI", "hasVariations": true, "image": "https://media.4rgos.it/s/Argos/3413034_R_SET?fmt=jpg", "imageURL": "638-3413034-DHY679T.jpg", "maximumQuantity": 1, "media": { "images": [ "https://media.4rgos.it/i/Argos/3413034_R_Z001A", "https://media.4rgos.it/i/Argos/3413034_R_Z002A", "https://media.4rgos.it/i/Argos/3413034_R_Z003A", "https://media.4rgos.it/i/Argos/3413034_R_Z004A", "https://media.4rgos.it/i/Argos/3413034_R_Z005A", "https://media.4rgos.it/i/Argos/3413034_R_Z006A", "https://media.4rgos.it/i/Argos/3413034_R_Z007A", "https://media.4rgos.it/i/Argos/3413034_R_Z010A" ], "meta": { "https://media.4rgos.it/i/Argos/3413034_R_Z001A": { "format": "JPEG", "height": "1382", "type": "image", "width": "1094" }, "https://media.4rgos.it/i/Argos/3413034_R_Z002A": { "format": "JPEG", "height": "1382", "type": "image", "width": "1231" }, "https://media.4rgos.it/i/Argos/3413034_R_Z003A": { "format": "JPEG", "height": "1382", "type": "image", "width": "1012" }, "https://media.4rgos.it/i/Argos/3413034_R_Z004A": { "format": "JPEG", "height": "1382", "type": "image", "width": "1412" }, "https://media.4rgos.it/i/Argos/3413034_R_Z005A": { "format": "JPEG", "height": "1331", "type": "image", "width": "1532" }, "https://media.4rgos.it/i/Argos/3413034_R_Z006A": { "format": "JPEG", "height": "1325", "type": "image", "width": "1532" }, "https://media.4rgos.it/i/Argos/3413034_R_Z007A": { "format": "JPEG", "height": "936", "type": "image", "width": "1532" }, "https://media.4rgos.it/i/Argos/3413034_R_Z010A": { "format": "JPEG", "height": "1377", "type": "image", "width": "1396" } }, "videos": [ "https://www.isitetv.com/directasset/en066133196001064125187212237007.mp4" ] }, "name": "SIM Free Samsung A05s 4G 64GB Mobile Phone - Black", "partNumber": "3413034", "prepay": "OPTIONAL", "price": 99.99, "prices": { "delivery": { "deliveryPrice": 3.95 }, "now": 99.99 }, "productId": "3413034", "relevancyRank": 1, "relevancyScore": 34, "reservable": true, "reviewsCount": 284, "url": "https://www.argos.co.uk/product/3413034", "variants": { "variants": [ { "attributes": [ { "shortValue": "Black", "type": "Colour", "value": "Black" } ], "deliveryPrice": 3.95, "partNumber": "3413034", "price": 99.99 }, { "attributes": [ { "shortValue": "Silver", "type": "Colour", "value": "Silver" } ], "deliveryPrice": 3.95, "partNumber": "3413041", "price": 99.99 } ] }, "wcsId": "3227110" } ```` # Actor input Schema ## `query` (type: `array`): πŸ’‘ Search terms or URL ## `limit` (type: `integer`): πŸ’‘ Number of results per-query ## `filters.extra` (type: `boolean`): πŸ’‘ Include additional information: description, images, videos, variants, etc. ## `filters.sort` (type: `string`): No description ## `filters.category` (type: `string`): No description ## `filters.rating` (type: `string`): No description ## `filters.price_min` (type: `integer`): No description ## `filters.price_max` (type: `integer`): No description ## `dev_custom_headers` (type: `array`): πŸ’‘ Additional HTTP Headers ## `dev_custom_cookies` (type: `array`): πŸ’‘ Additional HTTP Cookies ## `dev_transform_fields` (type: `array`): πŸ’‘ Transform the resulting output. Select only needed fields.

For nested object use DOT. For example: 
address.streetAddress

For nested array use NUMBER (index of array element starting from index=0). For example: 
images.0.url
## `dev_dataset_name` (type: `string`): πŸ’‘ Save results into custom named Dataset, use mask to customize dataset name

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)

This masks can be used to autogenerate Dataset Name.

example: data-{DATE}
Depending on today date the dataset name will be: data-20230603

default: data-{ACTOR}-{DATE}-{TIME} ## `dev_dataset_clear` (type: `boolean`): Clear Dataset before insert/update. ## `dev_no_strip` (type: `boolean`): πŸ’‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING) ## Actor input object example ```json { "query": [ "square pants" ], "limit": 5 } ``` # 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 = { "query": [ "square pants" ], "limit": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("jupri/argos-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": ["square pants"], "limit": 5, } # Run the Actor and wait for it to finish run = client.actor("jupri/argos-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": [ "square pants" ], "limit": 5 }' | apify call jupri/argos-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jupri/argos-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ARGOS Harvester", "description": "πŸ’« All-In-One Argos.co.uk Scraper", "version": "0.1", "x-build-id": "ZXwAregKDQvDCUjxH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jupri~argos-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jupri-argos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/jupri~argos-scraper/runs": { "post": { "operationId": "runs-sync-jupri-argos-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/jupri~argos-scraper/run-sync": { "post": { "operationId": "run-sync-jupri-argos-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": { "query": { "title": "❓ Query", "type": "array", "description": "πŸ’‘ Search terms or URL", "items": { "type": "string" } }, "limit": { "title": "♾️ Limit", "type": "integer", "description": "πŸ’‘ Number of results per-query" }, "filters.extra": { "title": "Product Details", "type": "boolean", "description": "πŸ’‘ Include additional information: description, images, videos, variants, etc." }, "filters.sort": { "title": "πŸ”€ Sorting", "enum": [ "relevance", "price_low", "price_high", "rating", "new" ], "type": "string", "description": "" }, "filters.category": { "title": "πŸ“‚ Category", "enum": [ "787124", "788335", "29944", "29945", "29942", "29943", "29620", "29633", "29634", "29636", "29638", "29639", "29562", "29619", "29624", "29626", "29623", "29625", "29932", "29615", "29356", "29443", "29441", "29454", "29439", "29444", "29442", "29936", "29939", "29588", "29940", "788338", "29618", "29617", "29616", "788336", "29571", "29570", "788369", "788425", "788424", "29560", "788337", "29614", "29613", "29612", "29559", "788334", "29575", "29569", "29574", "29856", "29572", "29573", "62254", "29561", "29372", "29695", "29692", "29693", "29000", "798770", "798776", "798779", "798781", "29001", "29029", "29030", "29033", "29006", "794311", "29103", "29111", "795755", "29101", "29105", "794310", "30450", "29005", "29092", "29089", "29093", "29008", "29115", "29010", "29013", "29026", "29027", "29025", "29129", "798766", "29004", "29075", "29073", "29077", "29068", "29074", "29071", "29067", "827499", "29058", "29056", "29062", "29061", "29063", "29059", "29007", "29114", "794320", "798765", "29012", "29020", "786292", "29082", "29042", "29044", "29002", "29041", "29054", "29053", "784357", "29043", "29131", "691056", "812374", "1000309", "1000310", "691058", "691057", "691061", "1000311", "812621", "691089", "691090", "691091", "812626", "812629", "691094", "691097", "812624", "691098", "29137", "29155", "30415", "29154", "812622", "691071", "691072", "691073", "691074", "812639", "812642", "691077", "691078", "691079", "691080", "691144", "691146", "691147", "691148", "691155", "691158", "826692", "691165", "691169", "828046", "691171", "691164", "691156", "691175", "812482", "812483", "812484", "691104", "828016", "691107", "691111", "691132", "691117", "691136", "691137", "691138", "826695", "826768", "826669", "691127", "691128", "691142", "691129", "826773", "691122", "691116", "797660", "29382", "29446", "29460", "789427", "29370", "29681", "29680", "29655", "29675", "29670", "29668", "797679", "797680", "29659", "29658", "29354", "29408", "29424", "29416", "29353", "29394", "29392", "29396", "29397", "787141", "29391", "29361", "29506", "29504", "29507", "29381", "29388", "29490", "29450", "797685", "797686", "29462", "29463", "29464", "29360", "29653", "29362", "29518", "29519", "29517", "29524", "29654", "797689", "29801", "29451", "29848", "797690", "29660", "29484", "29485", "29492", "29495", "29164", "29184", "804951", "29172", "29173", "29202", "29169", "29187", "827498", "824734", "824735", "29166", "29186", "826738", "29203", "29262", "29259", "29232", "29233", "29231", "29213", "29283", "29282", "29207", "29237", "29235", "29236", "29242", "29238", "29204", "29219", "29217", "29220", "29211", "29263", "798483", "29264", "29267", "29266", "29265", "798643", "29209", "29251", "29253", "29254", "29255", "29256", "29212", "29274", "29277", "29279", "798616", "29268", "29234", "62259", "62260", "62261", "29205", "798477", "29226", "29229", "29227", "828078", "29208", "29247", "29244", "29246", "29249", "29248", "29351", "29531", "29544", "29546", "29858", "29859", "29358", "29366", "29865", "29603", "29598", "29870", "29601", "29540", "29541", "812365", "29706", "29369", "29649", "29647", "29648", "29363", "29378", "29527", "1000177", "1000173", "812473", "29371", "825694", "29873", "29016", "826710", "29902", "29917", "29705", "29704", "29355", "29434", "29376", "29802", "29804", "29807", "29808", "29805", "29803", "29368", "29641", "29887", "797721", "29644", "29643", "29885", "29861", "29863", "29862", "29375", "29365", "29890", "1000065", "1000060", "29593", "29596", "29590", "29707", "824441", "29298", "29344", "29343", "29303", "29336", "29338", "29342", "29339", "29340", "29302", "29327", "29328", "29329", "29330", "29299", "29309", "29307", "786024", "29306", "29301", "29311", "29312", "29315", "29310", "29316", "29317", "30468", "30470", "658435", "30492", "30493", "30469", "30486", "30485", "30482", "779035", "798507", "30474", "30471", "30508", "30506", "30505", "30476", "30668", "30671", "30666", "30473", "30609", "30610", "30612", "30621", "30614", "30622", "30624", "30626", "30613", "62319", "30619", "30618", "786025", "30475", "30477", "30679", "30675", "30478", "30690", "30691", "798475", "30696", "30677", "30472", "30479", "798487", "30736", "30737", "30533", "30531", "30530", "798650", "798656", "798655", "798651", "30616", "693343", "30630", "798665", "30634", "30631", "29949", "30175", "29961", "30168", "30042", "30073", "30061", "30098", "30278", "30277", "30117", "29964", "798533", "30220", "30128", "30135", "29957", "30160", "30051", "30048", "30279", "815772", "30274", "30049", "30275", "29959", "30146", "828094", "30147", "30043", "30075", "30088", "30134", "29973", "30284", "30222", "30123", "815763", "815765", "30158", "30159", "29967", "29955", "30106", "30113", "30111", "29988", "30294", "30293", "30292", "30005", "30006", "29995", "812421", "812422", "812420", "29994", "812426", "823765", "812425", "30299", "30463", "30314", "30302", "42641", "42640", "42642", "42643", "30411", "30375", "30446", "795761", "795754", "794316", "795772", "794315", "795757", "30380", "30377", "30305", "30384", "30383", "30381", "30388", "30423", "30424", "649196", "30395", "30410", "30414", "30416", "30334", "810118", "30362", "30369", "30379", "30306", "30300", "30361", "30319", "30352", "30325", "30373", "30308", "30311", "30426", "30428", "30429", "1000232", "30318", "42619", "30335" ], "type": "string", "description": "" }, "filters.rating": { "title": "⭐ Rating", "enum": [ "5", "4", "3", "2", "1" ], "type": "string", "description": "" }, "filters.price_min": { "title": "πŸ’² Price Range", "type": "integer", "description": "" }, "filters.price_max": { "title": "", "type": "integer", "description": "" }, "dev_custom_headers": { "title": "πŸ“œ HTTP HEADERS", "type": "array", "description": "πŸ’‘ Additional HTTP Headers", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_custom_cookies": { "title": "🍰 HTTP COOKIES", "type": "array", "description": "πŸ’‘ Additional HTTP Cookies", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_transform_fields": { "title": "♻️ CUSTOM FIELD", "type": "array", "description": "πŸ’‘ Transform the resulting output. Select only needed fields.

For nested object use DOT. For example: 
address.streetAddress

For nested array use NUMBER (index of array element starting from index=0). For example: 
images.0.url
", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_dataset_name": { "title": "πŸ“ CUSTOM STORAGE", "type": "string", "description": "πŸ’‘ Save results into custom named Dataset, use mask to customize dataset name

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)

This masks can be used to autogenerate Dataset Name.

example: data-{DATE}
Depending on today date the dataset name will be: data-20230603

default: data-{ACTOR}-{DATE}-{TIME}" }, "dev_dataset_clear": { "title": "Clear Storage", "type": "boolean", "description": "Clear Dataset before insert/update." }, "dev_no_strip": { "title": "Disable data cleansing", "type": "boolean", "description": "πŸ’‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)" } } }, "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 } } } } } } } } } } ```