# Pinterest Explorer πŸ“Œ (`jupri/pinterest-explorer`) Actor πŸ’« All-in-One Pinterest.com Scraper - **URL**: https://apify.com/jupri/pinterest-explorer.md - **Developed by:** [cat](https://apify.com/jupri) (community) - **Categories:** Social media, Videos - **Stats:** 496 total users, 10 monthly users, 88.8% runs succeeded, 17 bookmarks - **User rating**: 5.00 out of 5 stars ## 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 ## πŸ’« Welcome To Pinterest Explorer ![don't be sad readme is here](https://raw.githubusercontent.com/JupriGH/resources/main/cats/catframe.png) ### About Pinterest.com **Pinterest** is an American [image sharing](https://en.wikipedia.org/wiki/Image_sharing "Image sharing") and [social media service](https://en.wikipedia.org/wiki/Social_media_service "Social media service") designed to enable saving and discovery of information (specifically "ideas")[[6]](https://en.wikipedia.org/wiki/Pinterest#cite_note-6) on the internet using images, and on a smaller scale, animated GIFs and videos,[[7]](https://en.wikipedia.org/wiki/Pinterest#cite_note-7) in the form of [pinboards](https://en.wikipedia.org/wiki/Bulletin_board "Bulletin board").[[8]](https://en.wikipedia.org/wiki/Pinterest#cite_note-8) The site was created by [Ben Silbermann](https://en.wikipedia.org/wiki/Ben_Silbermann "Ben Silbermann"), [Paul Sciarra](https://en.wikipedia.org/wiki/Paul_Sciarra "Paul Sciarra"), and [Evan Sharp](https://en.wikipedia.org/wiki/Evan_Sharp "Evan Sharp"), and had 450 million [global monthly active users](https://en.wikipedia.org/wiki/Monthly_active_users "Monthly active users") as of December 2022.[[5]](https://en.wikipedia.org/wiki/Pinterest#cite_note-q4-2022-5) It is operated by **Pinterest, Inc.**, based in [San Francisco](https://en.wikipedia.org/wiki/San_Francisco "San Francisco"). ### πŸ“Œ About This Actor Use this Actor to scrape data from Pinterest.com, including profile, pins, boards, sections, search for pins visual similarity, etc. #### 🍿 Features : - ⭐ Scrape Profile, Pins, Boards, Section - ⭐ Scrape using URL - ⭐ Search for visual similarity (using URL) - ⭐ Sort images by similarity *(coming soon)* - ⭐ Generate Slide-Show - ⭐ Minimal input - ⭐ Fast like The Flash ### πŸ“Œ Input Parameters | Parameter | Type | Description | |-|-|-| | `query`| **string array** | See below for possible query values | | `limit` | **integer** | Number of results (per query) | | `gallery` | **boolean** | Generate HTML gallery/viewer | ### πŸ“Œ HTTP Cookies Some function may require a cookie value from your HTTP session. For example: products search, etc (*see below*). You may want to include additional HTTP cookie, for example your **Login Cookie** named **_pinterest_sess** (*this is just example, use at your own risk!*). - Login to Pinterest.com, and get cookie value named: `_pinterest_sess` from domain: `https://www.pinterest.com` - Open **☒️ Advanced Options** then copy paste: ![enter image description here](https://apify-uploads-prod.s3.us-east-1.amazonaws.com/AdeZJ1jSfAdn3z695-image.png) ### πŸ“Œ Advanced Usage #### 🍿 Pinterest Query Language (PQL) ```html [ | # | @ ] [ | | | ] [ /
] ```` #### 🍿 Possible QUERY values | Format | Example | Description | |-|-|-| |**<*KEYWORDS*>** | `wood furniture` |***Search Anything***| |`KEYWORDS` |`square pants`|Search pins| |`videos:` |`videos:wooden chairs`|Search videos| |`boards:` |`boards:yellow cats` |Search boards| |`users:` |`users:apify`|Search users| |`stories:` |`stories:garden`|Search stories | |`products:` |`products:computer`|Search products
*(cookie required)*| |**#<*TOPIC*>**| `#art` or `#961238559656` |***Idea (topic/interest)***| |**topic:<*TOPIC*>**| `topic:961238559656` | | |`/info`| `#art/info`|Topic info and stats| |`/pins`| `#art/pins`|Topic related pins| |`/videos`| `#art/videos`|Topic related videos| |**<*PIN*>** | `1234567890` | ***Pin (post) Data***| |`/info`|`1234567890/info`|Pin info and stats| |`/related`|`1234567890/related`|Related pins| |`/comments`|`1234567890/comments`|Pin comments| |`/visual`|`1234567890/visual`|Pin visual search| |`/products`|`1234567890/products`|Pin related products
*(cookie required)*| |**@<*USER*>** | `@microsoft` | ***User Data***| |`/info` | `@microsoft/info`|User info| |`/followers`|`@microsoft/followers`|User followers| |`/following`|`@microsoft/following`|User following| |`/pins`|`@microsoft/pins`|User pins| |`/boards`|`@walmart/boards`|User boards| |`/created`|`@walmart/created`|User created pins| |`/products`|`@amazon/products`|User (seller) products| |**@<*USER*>:<*BOARD*>**|`@microsoft:travel`|***Board Data*** |**board:<*BOARD\_ID*>**|`board:120013001`|***Board Data (by board ID)*** |`/info`|`board:120013001/info`|Board info| |`/sections`|`board:120013001/sections`|Board section (sub-folders)| |`/pins`|`board:120013001/pins`|Board pins| |`/members`|`board:120013001/members`|Board members (collaborators)| |`/followers`|`board:120013001/followers`|Board followers| |`/ideas`| `board:120013001/ideas` | More pins (ideas) |**@<*USER*>:*BOARD:SECTION***|`@microsoft:travel:india`| ***Sub-board Data*** |**section:<*SECTION\_ID*>**|`section:310002100`| ***Sub-board (by section ID)*** |`/info`|`section:310002100/info`|Sub-board info| |`/pins`|`section:310002100/pins`|Sub-board pins| |**https:<*URL*>** | `https://*.pinterest.com/...` |***Start URL***| | `/search//?q=KEYWORD`| | Search for pins specific type | | `/ideas//` | |Search specific topic/interest | `/pin/`| `https://id.pinterest.com/pin/1234567890` | User pin related | | `/pin//visual-search`| |User pin visual search | | `/`| `https://id.pinterest.com/microsoft` | User info | | `//pins`| | User pins | | `//_created` | |User created pins | | `//_saved` | |User boards | | `//` | |Board pins | | `///
` | | Board sub-folder pins | ### πŸ“Œ Tutorial #### 🍿 Example #1: Searching Searching for pins ```yaml { "query": ["Window and Furniture"] } ``` Searching for videos only ```yaml { "query": ["vidoes:Cat House"] } ``` Searching for products ```yaml { "query": ["products:Square Pants"] } ``` #### 🍿 Example #2: User Profile User/profile info and stats ```yaml { "query": ["@microsoft/info"] } ``` User boards list ```yaml { "query": ["@microsoft/boards"] } ``` User products list ```yaml { "query": ["@amazon/products"] } ``` #### 🍿 Example #3: Number of Results Use LIMIT to increase or limit number of results (per-query) ```yaml { "query": ["@microsoft/pins"], "limit": 100 } ``` #### 🍿 Example #4: Board and Section Pins User Board pins ```yaml { "query": ["@microsoft:travel/pins"], "limit": 100 } ``` User Board may have sub-boards (sections) ```yaml { "query": ["@microsoft:travel:india/pins"], "limit": 100 } ``` For Board more detail info, use query `board:`
Use query `@USER/boards` to get list of user boards and its `ID` ```yaml { "query": ["board:12300100002/info"] } # board info { "query": ["board:12300100002/pins"], "limit": 100 } # board pins ``` Board sub-folders list ```yaml { "query": ["board:12300100002/sections"], "limit": 100 } ``` #### 🍿 Example #5: Pin Info Pin info and statistics ```yaml { "query": ["1234567890/info"] } ``` Pin related pins ```yaml { "query": ["1234567890/related"], "limit": 50 } ``` Pin comments ```yaml { "query": ["1234567890/comments"], "limit": 50 } ``` #### 🍿 Example #6: URL As last resort, you can copy and paste an URL ```yaml { "query": ["https://id.pinterest.com/microsoft/"] } ``` #### 🍿 Example #7: Multiple Queries Multiple user info ```yaml { "query": [ "@google/info", "@walmart/info", "@apify/info" ] } ``` Multiple user pins ```yaml { "query": [ "@amazon/products", "@walmart/products", "@nike/products", "@apify/pins", "videos:yellow cat" ], "limit": 10 # 10 results per-query } ``` Different `QUERY` may have different attributes set.
You can combine different type of `QUERY` in a single request but not recommended. ```yaml { "query": [ "@google/info", "120000199922/info", "#art/info" ] } ``` ### πŸ“Œ Output Samples #### 🍿 Sample #1: JSON Output ```yaml { "board": { "name": "LΖ°u nhanh", "url": "/bch7946/_quick_saves/" }, "created_at": "Tue, 14 Mar 2023 15:23:53 +0000", "domain": "tracking.feedpress.it", "grid_title": "Microsoft Ads Introduces Cookie-Based Experiment Feature", "id": "1066438386741918409", "image_crop": { "max_y": 1 }, "image_signature": "1cc0030a7989dbcfe3b6b58d0f06f58c", "images": { "170x": { "height": 123, "url": "https://i.pinimg.com/236x/1c/c0/03/1cc0030a7989dbcfe3b6b58d0f06f58c.jpg", "width": 236 }, "236x": { "height": 123, "url": "https://i.pinimg.com/236x/1c/c0/03/1cc0030a7989dbcfe3b6b58d0f06f58c.jpg", "width": 236 }, "474x": { "height": 248, "url": "https://i.pinimg.com/474x/1c/c0/03/1cc0030a7989dbcfe3b6b58d0f06f58c.jpg", "width": 474 }, "736x": { "height": 386, "url": "https://i.pinimg.com/736x/1c/c0/03/1cc0030a7989dbcfe3b6b58d0f06f58c.jpg", "width": 736 }, "orig": { "height": 840, "url": "https://i.pinimg.com/originals/1c/c0/03/1cc0030a7989dbcfe3b6b58d0f06f58c.png", "width": 1600 } }, "is_uploaded": true, "link": "http://tracking.feedpress.it/link/13962/13489926", "pinner": { "full_name": "TrΓ’m BΓ­ch", "id": "1066438524171071800", "image_large_url": "https://s.pinimg.com/images/user/default_140.png", "image_medium_url": "https://s.pinimg.com/images/user/default_75.png", "image_small_url": "https://s.pinimg.com/images/user/default_30.png", "username": "bch7946" }, "reaction_counts": { "1": 1 }, "rich_summary": { "display_description": "Microsoft Ads added an additional feature to the Experiment functionality launched last July: cookie-based audience specifications.", "display_name": "Microsoft Ads Introduces Cookie-Based Experiment Feature", "favicon_images": { "orig": "https://i.pinimg.com/favicons/e4793202be714776e9ec57cd8452dea6839302dcaf946ff7c8a69e07.png?9292791bfd447d72ea6e3c05a904eb89" }, "favicon_link": "https://i.pinimg.com/favicons/e4793202be714776e9ec57cd8452dea6839302dcaf946ff7c8a69e07.png?9292791bfd447d72ea6e3c05a904eb89", "id": "0c15d83843dccc4039dbbb3091133efd", "site_name": "Search Engine Journal", "type": "richpingriddata", "type_name": "article", "url": "http://tracking.feedpress.it/link/13962/13489926" }, "type": "pin" } ``` #### Sample #2: Simple HTML Gallery ![enter image description here](https://raw.githubusercontent.com/JupriGH/resources/main/slide.png) ### πŸ“Œ Support - ⚑️ Congratulation! you have mastered ***"How to scrape Pinterest using APIFY Pinterest Explorer"*** - ⚑️ Feel free to [reach out](https://console.apify.com/actors/LJ5EVniB0ulV4RfGP/issues) to the developer for any issues or suggestions for improvement. # Actor input Schema ## `query` (type: `array`): πŸ’‘ Possible Values :

  • KEYWORDS
  • @USERNAME\[/BOARD]
  • #IDEAS
  • PIN\_ID
  • PIN\_ID/comments
  • PIN\_ID/related
  • PIN\_ID/visual
  • URL
    •  ## `example` (type: `string`): πŸ’‘ QUERY Input examples: Please clear the QUERY input before running an example. ## `limit` (type: `integer`): πŸ’‘ Number of results (per-query) ## `domains` (type: `array`): πŸ’‘ examples: "ebay.com", "amazon.com", "etsy.com" ## `price_min` (type: `integer`): No description ## `price_max` (type: `integer`): No description ## `gallery` (type: `boolean`): πŸ’‘ Generate simple HTML gallery (HTML5 + CSS3). The gallery will be saved to default Key-Value storage ## `dev_proxy_config` (type: `object`): πŸ’‘ Supported protocol:

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

    Example: socks5://example.com:9000 ## `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) ## `dev_fileupload` (type: `string`): πŸ’‘ Upload your file and copy & paste the URL somewhere. ## Actor input object example ```json { "query": [ "square pants" ], "limit": 5, "dev_custom_cookies": [ { "key": "_pinterest_sess", "value": "" } ] } ``` # 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, "dev_custom_cookies": [ { "key": "_pinterest_sess", "value": "" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("jupri/pinterest-explorer").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, "dev_custom_cookies": [{ "key": "_pinterest_sess", "value": "", }], } # Run the Actor and wait for it to finish run = client.actor("jupri/pinterest-explorer").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, "dev_custom_cookies": [ { "key": "_pinterest_sess", "value": "" } ] }' | apify call jupri/pinterest-explorer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jupri/pinterest-explorer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pinterest Explorer πŸ“Œ", "description": "πŸ’« All-in-One Pinterest.com Scraper", "version": "0.4", "x-build-id": "0o6b6IMbToWzGzcnj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jupri~pinterest-explorer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jupri-pinterest-explorer", "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~pinterest-explorer/runs": { "post": { "operationId": "runs-sync-jupri-pinterest-explorer", "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~pinterest-explorer/run-sync": { "post": { "operationId": "run-sync-jupri-pinterest-explorer", "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": "❓ Queries", "type": "array", "description": "πŸ’‘ Possible Values :

  • KEYWORDS
  • @USERNAME[/BOARD]
  • #IDEAS
  • PIN_ID
  • PIN_ID/comments
  • PIN_ID/related
  • PIN_ID/visual
  • URL
    • ", "items": { "type": "string" } }, "example": { "title": "Example", "enum": [ "square pants", "videos:yellow cat", "products:cat painting", "@microsoft/pins", "@amazon/products", "https://www.pinterest.com/pinterestindonesia" ], "type": "string", "description": "πŸ’‘ QUERY Input examples: Please clear the QUERY input before running an example." }, "limit": { "title": "♾️ Limit", "type": "integer", "description": "πŸ’‘ Number of results (per-query)" }, "domains": { "title": "🌐 Domains", "type": "array", "description": "πŸ’‘ examples: \"ebay.com\", \"amazon.com\", \"etsy.com\"", "items": { "type": "string" } }, "price_min": { "title": "πŸ’² Price Range", "type": "integer", "description": "" }, "price_max": { "title": "", "type": "integer", "description": "" }, "gallery": { "title": "Enable", "type": "boolean", "description": "πŸ’‘ Generate simple HTML gallery (HTML5 + CSS3). The gallery will be saved to default Key-Value storage" }, "dev_proxy_config": { "title": "🌐 PROXY NETWORKING", "type": "object", "description": "πŸ’‘ Supported protocol:

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

    Example: socks5://example.com:9000" }, "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)" }, "dev_fileupload": { "title": "πŸ“ FILE UPLOADER", "type": "string", "description": "πŸ’‘ 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 } } } } } } } } } } ```