# Gumroad Extractor (`jupri/gumroad`) Actor 💫 All-in-One Gumroad.com Scraper - **URL**: https://apify.com/jupri/gumroad.md - **Developed by:** [cat](https://apify.com/jupri) (community) - **Categories:** E-commerce, Social media - **Stats:** 8 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## 💫 Welcome To Gumroad Scraper ![dont be sad readme is here](https://raw.githubusercontent.com/JupriGH/resources/main/cats/catframe.png) ### 🍿 About Gumroad.com **Gumroad** is an [e-commerce](https://en.wikipedia.org/wiki/E-commerce "E-commerce") platform that allows [creators](https://en.wikipedia.org/wiki/Content_creation "Content creation") to sell products directly to their [audience](https://en.wikipedia.org/wiki/Audience "Audience"). The platform was founded by Sahil Lavingia in 2011 and is based in [San Francisco, California](https://en.wikipedia.org/wiki/San_Francisco "San Francisco"). Gumroad was founded in 2011 by Sahil Lavingia, who was previously a designer at [Pinterest](https://en.wikipedia.org/wiki/Pinterest "Pinterest") and [Turntable.fm](https://en.wikipedia.org/wiki/Turntable.fm "Turntable.fm").[[1]](https://en.wikipedia.org/wiki/Gumroad#cite_note-fastcompany1-1)[[2]](https://en.wikipedia.org/wiki/Gumroad#cite_note-techcrunch1-2)[[3]](https://en.wikipedia.org/wiki/Gumroad#cite_note-3) The idea for the platform came to Lavingia when he wanted to sell an icon he had designed and saw that the amount of effort it took to sell an item directly to [consumers](https://en.wikipedia.org/wiki/Consumer "Consumer") was considerable. In February 2012, Gumroad announced a $1.1 million seed round.[[2]](https://en.wikipedia.org/wiki/Gumroad#cite_note-techcrunch1-2) Three months later [Kleiner Perkins Caufield & Byers](https://en.wikipedia.org/wiki/Kleiner_Perkins_Caufield_%26_Byers "Kleiner Perkins Caufield & Byers") (KPCB) led a $7 million Series A round.[[4]](https://en.wikipedia.org/wiki/Gumroad#cite_note-4) On September 8, 2014, Twitter launched a _Buy Now_ button in partnership with Gumroad,[[5]](https://en.wikipedia.org/wiki/Gumroad#cite_note-5) the _Buy Now_ and Gumroad partnership were discontinued on January 7, 2017.[[6]](https://en.wikipedia.org/wiki/Gumroad#cite_note-6) On September 30, 2014, Gumroad released an [iPhone](https://en.wikipedia.org/wiki/IPhone "IPhone") [app](https://en.wikipedia.org/wiki/IPhone_apps "IPhone apps").[[7]](https://en.wikipedia.org/wiki/Gumroad#cite_note-7)[[8]](https://en.wikipedia.org/wiki/Gumroad#cite_note-8) In March 2024, Gumroad banned the sale of sexually explicit content on its platform due to pressure from [Stripe](https://en.wikipedia.org/wiki/Stripe,_Inc. "Stripe, Inc.") and [PayPal](https://en.wikipedia.org/wiki/PayPal "PayPal").[[9]](https://en.wikipedia.org/wiki/Gumroad#cite_note-9) ### 🍿 About This Actor 💫 All-in-One Gumroad.com Crawler ### 🍿 Output Samples #### Search Response ```yaml { "allow_installment_plan": false, "analytics": { "facebook_pixel_id": null, "free_sales": true, "google_analytics_id": null }, "attributes": [ { "name": "Membership Access", "value": "" } ], "audio_previews_enabled": true, "bundle_products": [], "can_edit": false, "collaborating_user": null, "covers": [ { "filetype": "png", "height": 170, "id": "865795c453866be87e7758b09b359036", "native_height": 976, "native_width": 3840, "original_url": "https://public-files.gumroad.com/zomwgq3zmyafkkwll8antd80u56s", "thumbnail": null, "type": "image", "url": "https://public-files.gumroad.com/y5icmg3yd3qstf9mskw3fvk09jv9", "width": 670 } ], "currency_code": "usd", "custom_button_text_option": null, "custom_view_content_button_text": null, "description": "Ready to take your investing and wealth-building skills to the next level?At CNC, we’re not just ...", "description_html": "

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", "duration_in_months": null, "eligible_for_installment_plans": false, "free_trial": null, "has_third_party_analytics": false, "hide_sold_out_variants": false, "id": "ah5Mb5uRMWAZOK485mWJZg==", "installment_plan": null, "is_compliance_blocked": false, "is_legacy_subscription": false, "is_multiseat_license": false, "is_pay_what_you_want": false, "is_physical": false, "is_published": true, "is_quantity_enabled": false, "is_sales_limited": false, "is_stream_only": false, "is_tiered_membership": true, "long_url": "https://tallguytycoon.gumroad.com/l/Pxkij", "main_cover_id": "865795c453866be87e7758b09b359036", "name": "CNC Academy Membership (Monthly)", "native_type": "membership", "options": [ { "description": "This give you access to all signals, the community all fundamental classes and weekly/biweekly zoom calls within the discord.", "duration_in_minutes": null, "id": "44Mn6Ymf1-0MaCqjz6Y1NQ==", "is_pwyw": false, "name": "Core Access", "price_difference_cents": 0, "quantity_left": null, "recurrence_price_values": { "biannually": { "price_cents": 64800, "suggested_price_cents": null }, "every_two_years": { "price_cents": 199900, "suggested_price_cents": null }, "monthly": { "price_cents": 12700, "suggested_price_cents": null }, "quarterly": { "price_cents": 34300, "suggested_price_cents": null }, "yearly": { "price_cents": 129500, "suggested_price_cents": null } } } ], "permalink": "Pxkij", "ppp_details": null, "preorder": null, "price_cents": 0, "public_files": [], "pwyw": null, "quantity_remaining": null, "ratings": { "average": 4.5, "count": 157, "percentages": [ 12, 1, 1, 3, 83 ] }, "recurrence": "monthly", "recurrences": { "default": "monthly", "enabled": [ { "id": "qqBEjFv0t2EoQ-QwWuCHNg==", "price_cents": 0, "recurrence": "monthly" }, { "id": "OWtcjYeF8jjVziBD7GjliA==", "price_cents": 0, "recurrence": "quarterly" }, { "id": "oOeK6S1Id8WfU-St6rd7oA==", "price_cents": 0, "recurrence": "biannually" }, { "id": "99rBO_s15hf4j4EzU6-RTw==", "price_cents": 0, "recurrence": "yearly" }, { "id": "K1OE3c1LR3iZUHM4fmJ02g==", "price_cents": 0, "recurrence": "every_two_years" } ] }, "refund_policy": null, "rental": null, "rental_price_cents": null, "sales_count": null, "seller": { "avatar_url": "https://public-files.gumroad.com/0v6bspxnuqn3s41i2si98ow5n9vv", "external_id": "8080637286606", "id": "8080637286606", "name": "Tallguytycoon", "profile_url": "https://tallguytycoon.gumroad.com/", "subdomain": "tallguytycoon.gumroad.com", "twitter_handle": null }, "streamable": false, "summary": null, "thumbnail_url": "https://public-files.gumroad.com/nx10um8zl0qf0xmujml8qmfqx63k", "url": "https://tallguytycoon.gumroad.com/l/Pxkij" } ```` ### 🎯 Support ⚡️ Feel free to [reach out](https://console.apify.com/actors/kPU95gYlYpc3Hnb51/issues) to the developer for any [issues](https://console.apify.com/actors/kPU95gYlYpc3Hnb51/issues) or suggestions for improvement. # Actor input Schema ## `query` (type: `array`): 💡 KEYWORDS or URL ## `example` (type: `array`): 💡QUERY Examples ## `operation` (type: `string`): No description ## `limit` (type: `integer`): 💡 Number of results ## `sort` (type: `string`): No description ## `category` (type: `string`): No description ## `tags` (type: `array`): No description ## `filetypes` (type: `array`): 💡 File types/extension (without dot). examples: "ico", "jpg", "pdf", "py", "bmp", etc. ## `min_price` (type: `integer`): No description ## `max_price` (type: `integer`): No description ## `rating` (type: `string`): No description ## `dev_proxy_config` (type: `object`): 💡 Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

Example: socks5://example.com:9000 ## `dev_custom_headers` (type: `array`): 💡 Additional HTTP Headers ## `dev_custom_cookies` (type: `array`): 💡 Additional HTTP Cookies ## `dev_transform_fields` (type: `array`): 💡 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`): 💡 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`): 💡 Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING) ## `dev_dedup_index` (type: `string`): 💡 Index Name. example: Main Index ## `dev_dedup_key` (type: `string`): 💡 Attribute (Unique/Primary key). example: zpid or item\_id ## `dev_fileupload` (type: `string`): 💡 Upload your file and copy & paste the URL somewhere. ## Actor input object example ```json { "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 = { "limit": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("jupri/gumroad").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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "limit": 5 } # Run the Actor and wait for it to finish run = client.actor("jupri/gumroad").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "limit": 5 }' | apify call jupri/gumroad --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jupri/gumroad", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gumroad Extractor", "description": "💫 All-in-One Gumroad.com Scraper", "version": "0.0", "x-build-id": "IhjixZoDYO32clq8b" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jupri~gumroad/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jupri-gumroad", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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~gumroad/runs": { "post": { "operationId": "runs-sync-jupri-gumroad", "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~gumroad/run-sync": { "post": { "operationId": "run-sync-jupri-gumroad", "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": "💡 KEYWORDS or URL", "items": { "type": "string" } }, "example": { "title": "💡 Example", "type": "array", "description": "💡QUERY Examples", "items": { "type": "string", "enum": [ "Cat Drawing", "@productivesetups", "@productivesetups/products", "@productivesetups/posts", "https://productivesetups.gumroad.com", "https://productivesetups.gumroad.com/l/headquarters", "https://gumroad.com/discover?query=Cat+Drawing&sort=newest", "https://gumroad.com/design/architecture" ] } }, "operation": { "title": "🔎 Operation", "enum": [ "products", "reviews", "posts" ], "type": "string", "description": "" }, "limit": { "title": "♾️ Limit", "type": "integer", "description": "💡 Number of results" }, "sort": { "title": "Sorting", "enum": [ "Newest", "Hot and new", "Highest rated", "Most reviewed", "Price (low to high)", "Price (high to low)", "Best Sellers" ], "type": "string", "description": "" }, "category": { "title": "Category", "enum": [ "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "321", "322", "323", "14", "15", "16", "17", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "265", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "267", "268", "269", "270", "271", "272", "273", "340", "341", "342", "343", "344", "345", "346", "347", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "149", "150", "151", "152", "153", "154", "155", "156", "157", "233", "234", "235", "236", "237", "238", "239", "240", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "255", "256", "257", "258", "259", "260", "261", "262", "263", "266" ], "type": "string", "description": "" }, "tags": { "title": "Tags", "type": "array", "description": "", "items": { "type": "string" } }, "filetypes": { "title": "File Types", "type": "array", "description": "💡 File types/extension (without dot). examples: \"ico\", \"jpg\", \"pdf\", \"py\", \"bmp\", etc.", "items": { "type": "string" } }, "min_price": { "title": "Price Range", "type": "integer", "description": "" }, "max_price": { "title": "", "type": "integer", "description": "" }, "rating": { "title": "Rating", "enum": [ "5", "4", "3", "2", "1" ], "type": "string", "description": "" }, "dev_proxy_config": { "title": "🌐 PROXY NETWORKING", "type": "object", "description": "💡 Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

Example: socks5://example.com:9000" }, "dev_custom_headers": { "title": "📜 HTTP HEADERS", "type": "array", "description": "💡 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": "💡 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": "💡 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": "📁 CUSTOM STORAGE", "type": "string", "description": "💡 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": "💡 Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)" }, "dev_dedup_index": { "title": "🔑 DEDUP INDEX", "type": "string", "description": "💡 Index Name. example: Main Index" }, "dev_dedup_key": { "title": "🔑 DEDUP KEY", "type": "string", "description": "💡 Attribute (Unique/Primary key). example: zpid or item_id" }, "dev_fileupload": { "title": "📁 FILE UPLOADER", "type": "string", "description": "💡 Upload your file and copy & paste the URL somewhere." } } }, "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 } } } } } } } } } } ```